How we're building the first autonomous, self-learning GTM system for B2B SaaS

The Infinite Execution Paradox

Something strange has happened in go-to-market.

We've built tools that can spin up domains and send millions of emails. Products like Clay, Parallel, and Exa can index entire markets in hours. LLMs generate near-infinite personalized copy, scripts, and chat conversations. Generic orchestration tools wire events together in minutes.

Execution has become effectively infinite.

And yet, pipeline is harder than ever to build. Response rates are cratering. Buyers are drowning in noise. The best SDRs spend their days sifting through false positives while real opportunities slip through the cracks.

The paradox is this: we've solved the wrong problem.

We built infrastructure for doing more. We should have built infrastructure for knowing what to do.

The bottleneck is no longer execution. It's decision quality. Given virtually unlimited execution capacity, how do we allocate finite resources (e.g. human time, inbox space, ad dollars, brand capital) to the right accounts, at the right time, with the right plays?

This is the question Warmly was built to answer.

Part I: The AI Landscape: A Tectonic Shift

The First Wave: Static Data, Information Retrieval

The initial wave of enterprise AI applications targeted domains with a critical characteristic: the answer key exists and doesn't change much.

Look at where AI is winning today. The pattern is unmistakable.

Legal AI: Harvey raised $300M and is valued at over $1B. Why? Legal precedent is static. Case law from 1954 still applies today. The corpus is fixed. The task is retrieval and synthesis over documents that were written decades ago.

Code AI: Cursor has become the fastest-growing developer tool in history. Why? Programming languages have formal grammars. Code either compiles or it doesn't. Tests either pass or fail. There's a verifiable ground truth.

Medical AI: Perhaps the most developed category, with tens of billions flowing into companies tackling physician burnout, operational inefficiencies, and diagnostic accuracy. Abridge alone is worth more than most public SaaS companies. Anatomy doesn't change, drug interactions are catalogued, clinical guidelines are documented.

Customer Support: Sierra is winning this category by building AI agents that handle inquiries, resolve issues, and escalate appropriately. The problem space is bounded: product documentation is fixed, common issues follow patterns, resolution paths are well-defined.

Recruiting: Mercor is winning here through AI that screens candidates, conducts assessments, and matches talent to roles. Job requirements are structured, skills are enumerable, candidate evaluation follows established frameworks.

These companies are creating enormous value. But notice what they all have in common:

The answer key exists. The corpus is stable. The task is pattern matching.

The AI doesn't need to learn how medicine, law, coding, support, or recruiting works in real-time. It needs to retrieve and reason over information that was true yesterday and will be true tomorrow.

This is why RAG (Retrieval-Augmented Generation) became the dominant architecture. It works beautifully when:

1. The answer exists somewhere in your corpus
2. The corpus doesn't change much
3. Retrieval quality is the binding constraint

But what happens when none of these conditions hold?

The Second Wave: Dynamic Environments, Continuous Learning

The next frontier of AI isn't information retrieval. It's dynamic reasoning in environments where the answer key is always changing.

Consider GTM:

• Your ICP shifts as your product evolves
• Competitive positioning changes quarterly
• Buyer personas vary by segment and market condition
• What worked last quarter may not work this quarter
• Every deal is different, and every company's GTM motion is unique

There's no static corpus to retrieve from. The "right" answer depends on context that didn't exist six months ago. The model needs to learn continuously from outcomes, not just retrieve from documents.

The companies that win this wave will build something fundamentally different: not AI that retrieves answers, but AI that develops judgment through continuous interaction with dynamic environments.

What Palantir Understood First

Before LLMs, Palantir competed with Snowflake and Databricks on data infrastructure. The market saw them as enterprise data platforms, expensive, complex, government-focused.

Post-LLMs, Palantir no longer believes they have any competitors.

Why? Because they made a different architectural bet.

Snowflake and Databricks optimized for SQL and query throughput: get raw data into tables, run fast analytical reads, ship dashboards and models on top. They built infrastructure for answering questions about data.

Palantir built an ontology, a world model where data is represented as objects, relationships, and properties. Nouns, verbs, adjectives. Named entities, typed relationships, constraints. Not tables and joins, but the way humans actually think about their domain.

When LLMs arrived, this ontology became the perfect interface. Models don't want a trillion rows. They want a structured, language-shaped substrate: something you can linearize into a coherent prompt, traverse, and act on.

The results speak for themselves: 30%+ year-over-year growth accelerating, 50%+ growth in U.S. Commercial, one of the fastest-growing enterprise software stocks.

The market is recognizing something important: ontology beats query optimization when AI is the consumer of your data.

Palantir proved the thesis. Now the question is: who builds the ontology for each vertical?

For government intelligence and defense, Palantir won. For GTM, the seat is empty.

The Two Clocks Problem

fTo understand why existing GTM tools can't fill this gap, you need to understand a fundamental architectural limitation. As Kirk Maple points out, every system has two clocks:

1. The State Clock: what's true right now
2. The Event Clock: what happened, in what order, with what reasoning

We've built trillion-dollar infrastructure for the state clock. Salesforce knows the deal is "closed lost." Snowflake knows your ARR. HubSpot knows the contact's email.

The event clock barely exists.

Consider what your CRM actually knows about a lost deal:

• The state: Acme Corp, Closed-Lost, $150K, Q3 2025
• What's missing: You were the second choice. The winner had one feature you're shipping next quarter. The champion who loved you got reorganized two weeks before the deal died. The CFO had a bad experience with a similar vendor five years ago, information that came up in the third call but never made it into any system.

This pattern is everywhere in GTM:

• The CRM says "closed lost." It doesn't say you were one executive meeting away from winning until their CRO got fired.
• The opportunity shows a 20% discount. It doesn't say who approved the deviation, why it was granted, or what precedent it set.
• The sequence shows 47% reply rate. It doesn't show that every reply came from companies with a specific tech stack you've never documented.
• The account is marked "churned." It doesn't say the champion left, the new VP has a competing vendor relationship, and the budget got reallocated to a different initiative.

The reasoning connecting observations to actions was never treated as data. It lived in heads, Slack threads, deal reviews that weren't recorded, and the intuitions of reps who've since left.

The Fragmentation Tax

Every organization pays a hidden cost for this missing layer. We call it the fragmentation tax: the expense of manually stitching together context that was never captured in the first place.

Different functions use different tools, each with its own partial view of the same underlying reality:

• Sales lives in Salesforce
• Marketing lives in HubSpot or Marketo
• Support lives in Zendesk or Intercom
• Product lives in Amplitude or Mixpanel
• Leadership lives in spreadsheets and dashboards

When a rep needs the full picture of an account, they open six tabs, cross-reference timestamps, ping three colleagues on Slack, and piece together a narrative that will be forgotten by next week.

The fragmentation tax compounds. As organizations scale, the tax grows faster than headcount. As AI automation scales, the tax becomes the binding constraint, because agents inherit the fragmentation of the systems they query.

Why This Matters for AI Agents

This gap didn't matter when humans were the reasoning layer. The organizational brain was distributed across human heads, reconstructed on demand through conversation.

Now we want AI systems to make decisions, and we've given them nothing to reason from.

We're asking models to exercise judgment without access to precedent. It's like training a lawyer on verdicts without case law. The model can process information, but it can't learn from how the organization actually makes decisions.

Data warehouses were built to answer "what happened?" They receive data via ETL after decisions are made. By the time data lands in a warehouse, the decision context is gone.

Systems of record were built to store current state. The CRM is optimized for what the opportunity looks like now, not what it looked like when the decision was made. When a discount gets approved, the context that justified it isn't preserved.

AI agents need something different. They need the event clock, the temporal, contextual, causal record of how decisions actually get made.

The Memory Problem: Why LLMs Can't Do This Alone

Even the most powerful AI models have a fundamental limitation: they can't remember.

LLMs process text in units called tokens. Every model has a maximum context window: the total number of tokens it can "see" at once. GPT-4o has 128K tokens. Claude 3.5 Sonnet has 200K. Gemini 2.0 has 1M.

This sounds like a lot. It isn't.

A single quarter of GTM activity for a mid-market company might include:

• 50,000 website visits with behavioral data
• 10,000 email sends and responses
• 500 call transcripts (averaging 5,000 words each)
• 2,000 CRM activity records
• 1,000 Slack threads about deals
• Thousands of enrichment data points

That's easily 10-50 million tokens, 100x more than even the largest context windows.

When context overflows, models either drop it (truncation) or compress it (summarization). Both approaches degrade the model's ability to learn from precedent, recognize patterns, make consistent decisions, and build institutional memory.

RAG (Retrieval-Augmented Generation) is the standard workaround: store documents externally, retrieve relevant chunks, stuff them into context. RAG works for static domains like legal research.

RAG fails for GTM because:

1. The "relevant" context isn't obvious in advance. When deciding whether to prioritize Account A vs Account B, the retrieval problem is as hard as the decision problem itself.
2. Temporal relationships matter. RAG retrieves documents, not timelines. It can't answer "did her engagement increase or decrease over the past month?"
3. Identity resolution isn't automatic. RAG finds documents mentioning "S. Chen" and "Sarah" and "@sarah" and "[email protected]" but doesn't know they're the same person.
4. Synthesis requires structure. Reasoning requires knowledge graphs, not document chunks.
5. Features must be computed, not retrieved. "This account has 3+ buying committee members who visited the pricing page in the last 7 days" isn't a document to retrieve. It's a computation over structured data.

This is why the GTM Brain exists.

We're not replacing LLMs, we're giving them persistent, structured memory they can't build themselves.

The LLM brings reasoning. We bring memory.

The Context Graph Opportunity

Foundation Capital recently argued that the next trillion-dollar platforms won't be built by adding AI to existing systems of record, they'll be built by capturing decision traces, the reasoning that connects data to action.

They call this the context graph: a living record of decision traces stitched across entities and time, so precedent becomes searchable.

This insight is exactly right. But it's incomplete.

You can't capture decision traces without first solving the operational context problem: identity resolution, entity relationships, temporal state, the substrate that makes decision graphs possible.

And you can't build a general-purpose context graph that works for every domain. The companies that win will build domain-specific world models that encode how their particular category actually works.

For GTM, that means building a system that understands not just what happened, but why buyers buy, why deals die, what signals predict action, and how to allocate scarce resources against infinite opportunities.

That's what Warmly is building: the GTM Brain.

Part II: What Tesla Taught Us About Learning Systems

The Self-Driving Analogy

There's a reason Tesla's Full Self-Driving is the most instructive analogy for what we're building.

Like GTM, driving is a domain where:

• The environment is dynamic and unpredictable
• There's no static answer key, every situation is unique
• Decisions must be made in real-time under uncertainty
• The "right" action depends on context that changes constantly
• Human judgment is the baseline to beat

Tesla's approach to this problem offers a blueprint for building AI systems in dynamic domains.

Imitation Learning: Watching Humans Do the Work

Tesla's breakthrough wasn't building better sensors or more powerful computers. It was imitation learning at scale.

Here's how it works:

1. Observe: Millions of Tesla vehicles capture how humans actually drive, like steering inputs, braking patterns, lane changes, reactions to unexpected events.
2. Model: Neural networks learn to predict what a human driver would do in any given situation. Not what a rule-based system says they should do, but what they actually do.
3. Simulate: Tesla built a massive simulation environment where AI can practice billions of driving scenarios without risk.
4. Refine: When the AI makes a mistake in the real world, that edge case gets added to the training data. The system continuously improves.
5. Verify: Before deploying updates, Tesla runs shadow mode, the AI makes decisions in parallel with human drivers, and the system compares outcomes.

The key insight: you don't program driving rules. You learn them from the accumulated experience of millions of human drivers.

World Models: The Simulation Advantage

Tesla's most important technical innovation isn't the neural network itself. It's the world model, a learned representation of how the driving environment behaves.

The world model enables simulation, prediction, and crucially, counterfactual reasoning. What would have happened if I had braked earlier? If I had changed lanes? This is how the system learns from near-misses, not just crashes.

The GTM Parallel

The GTM Brain applies the same architecture:

1. Observe: Ingest every signal from the GTM environment like website visits, email engagement, CRM activities, call transcripts, product usage. Watch what human sellers do in response to these signals.
2. Model: Learn the patterns that predict success. Which signals indicate buying intent? Which messaging resonates with which personas? Which accounts look like your best customers?
3. Simulate: Before committing resources to an account, simulate the likely outcomes. What's the probability of conversion? What's the expected deal size? What's the optimal engagement strategy?
4. Refine: When deals close or die, capture the outcome and feed it back into the models. Learn from every success and failure.
5. Verify: Run the AI's recommendations in shadow mode against human judgment. Measure accuracy. Improve.

Just as Tesla doesn't hand-code driving rules, we don't hand-code GTM rules. We learn them from the accumulated experience of thousands of deals.

Why This Approach Wins

The imitation learning approach has three structural advantages over rule-based systems:

1. It handles complexity that can't be specified.

Driving has millions of edge cases. You can't write rules for all of them. But you can learn from how humans handle them.

GTM is the same. Every company has unique dynamics. Every buyer is different. Every deal is shaped by context that's impossible to anticipate. The only way to handle this complexity is to learn from experience.

2. It improves continuously.

Rule-based systems are static. Learning systems improve with use. Every mile driven makes Tesla's AI better. Every deal processed makes the GTM Brain smarter. The system compounds.

3. It captures tacit knowledge.

The best human sellers have intuition that they can't articulate. They "just know" which deals are real and which are tire-kickers. They "just know" when a champion is losing internal support.

This tacit knowledge is embedded in their behavior, even if they can't explain it. Imitation learning captures it by observing what experts do, not what they say.

Part III: The GTM Brain

Beyond RAG: A GTM-Native World Model

What the market needs is not an AI wrapper. Not another chatbot or "AI for your CRM."

It needs a stateful GTM decision system that:

• Ingests millions of buyer signals (website, CRM, product, intent, social)
• Resolves people and companies across tools using a proprietary identity graph
• Learns a temporal world model of your market, an ontology and knowledge graph custom-tailored to each company
• Computes mathematically grounded probabilities and expected values for every account and contact
• Exposes a Human Strategy Layer so leaders can steer the system
• Decides what to do next (or not do) under real constraints
• Orchestrates agents across web research, enrichment, buying committee mapping, inbound, outbound, and response
• Continuously improves itself via backtesting and simulation

It replaces both the GTM software stack and a large portion of the GTM people stack (e.g. SDRs, RevOps, Marketing Ops, researchers, analysts) with a single, self-learning engine.

The OODA Architecture

The GTM Brain operates as a closed-loop system:

Observe: Raw GTM events and data flow in continuously, like website visits, CRM activities, email engagement, product usage, intent signals, people moves, firmographics.

Orient: The system maintains a world model, an ontology of companies, contacts, signals, segments, and plays. Features are computed. Models generate predictions.

Decide: The Policy Layer maps state to actions (including the decision to do nothing) under real constraints (e.g. inbox limits, ad budgets, AE capacity, brand fatigue)

Act: Agents execute work such as research, enrichment, buying committee mapping, inbound chat, outbound sequences, response handling.

Learn: Every outcome feeds back into the system. Models improve. Policies adapt. The world model expands.

The Architecture Split

This system has a clear separation of concerns that makes it structurally different from pure LLM approaches:

• Models compute: State, weights, relationships, readiness, priority (deterministic)
• LLMs narrate: Recommendations, messaging angles, next best action (probabilistic)
• Summary stores remember: "Account XYZ looks like ABC; historically, do this" (persistent)

This matters because LLMs are expensive and weak at real-time sifting across huge context windows. They can't build and condense a world model in real-time. But they're brilliant at reasoning over a world model that's already built.

The GTM brain stores exactly the right context, primitives that model to the GTM world, rather than asking an LLM to reconstruct context from scratch every time.

Why "GPT Wrappers" Can't Do This

Here's the architectural reality that separates production systems from demos:

The inference-time trap: GPT wrappers try to build context at inference time. The agent queries multiple systems, stitches together data, reasons over it, and generates a response, all in one request. This approach has fatal flaws:

• Token consumption: Every request rebuilds context from scratch. Costs explode.
• Latency: Minutes to assemble context before reasoning can start. Real-time use cases become impossible.
• Hallucination: Model fills gaps when data is missing. 80% accuracy isn't acceptable for GTM decisions.
• Inconsistency: Different context windows produce different answers. Same question, different day = different prioritization.
• No learning: Context is discarded after each request. Can't improve from outcomes.

Our approach: pre-compute, store, serve

The context is computed, stored, and summarized ahead of time. When an agent needs to act, whether responding to a chat message or deciding which account to prioritize, it queries pre-computed state, not raw data. The reasoning happens at the edge, fast, with the right context already in memory.

You can't vibe-code this. A weekend hackathon can build a demo that queries your CRM and generates a personalized email. It cannot build an identity graph that resolves millions of signals to canonical entities, a temporal fact store that tracks state changes with validity periods, real-time streaming infrastructure, async job systems for multi-step workflows, summary stores that compress years of history, and feedback loops that connect outcomes to model updates.

This is production infrastructure. It takes years to build and battle-test.

The 100% Precision Primitive

Here's the insight that separates Warmly from everything else in the market:

When you want to automate GTM, it can't be 80% right. It needs to be 100% right, or at least better than a human, for full automation to be possible.

Most AI products get to 80% accuracy with 20% of the effort. That's enough to close a pilot. But production demands 99% or more, and that last stretch can take 100x more work.

So we build primitives, identity resolution, buying committee mapping, signal scoring, account prioritization, entity extraction, temporal reasoning, each designed to accomplish specific tasks with near-perfect precision.

These primitives are then composed into end-to-end workflows. When each component works at production quality, the whole system can run autonomously.

Part IV: Delight, Hard-to-Copy, Margin-Enhancing

Delight: The System Your Team Uses Every Day

The GTM Brain isn't a dashboard you check weekly. It's the operating system for revenue, the system you use every day to answer the fundamental question: "Who do I target right now, and what do I say?"

Every morning, it tells each rep:

"Here are the five accounts you should focus on today, ranked by expected value. Account A has three people on the buying committee actively researching solutions. Here's who they are, what they've looked at, and what message will resonate."

Every week, it tells leadership:

"Here's how the strategy is performing. Outbound to Series B fintechs is converting 40% better than Series A. The 'ROI calculator' play is underperforming, here's why. Three accounts are at risk of churning, here's what's happening and what to do about it."

Every quarter, it answers:

"What would happen if we shifted focus to enterprise? If we doubled outbound volume to healthcare? If we changed the ICP to include companies with 200+ employees?"

Current GTM tools create work. They require reps to manually log activities, update stages, write notes, and maintain data hygiene. The "user experience" is actually a data entry job disguised as software.

Warmly collapses this complexity. 

Hard-to-Copy: The Context Graph Moat

The GTM Brain's defensibility comes from what accumulates inside it: decision traces.

Every time the system decides to prioritize an account, reach out to a contact, or hold back on an action, it generates a trace: what inputs were gathered, what features were computed, what policy was applied, what outcome resulted.

This enables the question that makes learning possible: "Given what we knew at that time, was this the right decision?"

Do this thousands of times. The weights get updated. Historical and in-production performance converge. Eventually the model achieves 90%+ accuracy. At that point, why would you rip it out?

These traces form a context graph, a structured, replayable history of how context turned into action. Over time, this graph becomes:

1. A world model of your market: Which signals predict buying intent? Which messaging resonates with which personas? Which accounts look like your best customers?
2. A source of precedent: When a similar situation arises, the system can query how it was handled before. What worked? What didn't?
3. A simulation engine: Before taking action, the system can run counterfactuals.

Competitors can copy features. They can't copy the accumulated decision intelligence that lives inside the system.

Margin-Enhancing: Accessing the Services Market

Here's the market reality most GTM software companies miss:

The GTM software market is approximately $100B. The GTM services market, human labor for SDRs, AEs, RevOps, Marketing Ops, analysts, is approximately $400B.

Most GTM software reduces friction for existing workflows. It makes humans 10-20% more efficient. That's valuable, but it's fighting for a share of the software market.

Warmly replaces workflows entirely. That means we're accessing the services market, not just the software market.

The GTM Brain inverts traditional economics:

• SDRs: The research, prioritization, and initial outreach that SDRs do manually? Automated.
• RevOps: The workflow building, data cleaning, and reporting? Automated.
• Marketing Ops: The campaign logic, segmentation, and attribution? Automated.

This isn't 10% productivity improvement, it's 10x efficiency. Teams grow pipeline without growing headcount proportionally.

We're not selling seats. We're selling outcomes.

Part V: Why Now? The Confluence of Forces

The "Services as Software" Shift

AI will rewrite software economics by delivering outcomes rather than selling seats.

The old model: Pay $X per user per month for access to a tool. Hire people to use the tool. Hope they use it well.

The new model: Pay $X per outcome delivered. The software does the work. Humans supervise and handle exceptions.

The Infrastructure is Finally Ready

Building the GTM Brain required infrastructure that didn't exist three years ago:

• LLMs capable of reasoning: GPT-4, Claude 3, and Gemini 2 can understand context, make judgments, and generate quality output.
• Efficient inference: Test-time compute and model optimization have made it economically viable to run complex reasoning at scale.
• Identity resolution at scale: Graph databases, entity resolution algorithms, and data infrastructure can now handle the matching problem.

The Buyer Has Changed

B2B buyers don't want to talk to sales reps anymore. They want to self-serve. They want to research independently. They want to engage on their own timeline.

But they also want personalization. They want to feel understood. They want to interact with vendors who know their business, their challenges, their context.

These demands are contradictory, unless you have a system that can deliver personalization at scale without human intervention.

The Incumbents Can't Adapt

Traditional GTM systems were built for a world where humans did the work and software stored the records. Their architectures optimize for:

• Current state storage (not temporal reasoning)
• Human-driven workflows (not autonomous agents)
• Feature expansion (not outcome delivery)
• Per-seat pricing (not value capture)

Rebuilding these systems for an AI-native world would require gutting their core architecture. They can add AI features at the edges, but they can't become AI-native without breaking everything that makes them work.

This is the classic innovator's dilemma. The incumbents are too successful to change.

The Coexistence Reality

To be clear: CRMs survive. They remain the system of record for state, the canonical customer record, the opportunity pipeline, the contact database.

What we're building is different: the system of record for decisions.

We're not asking companies to rip out their CRM. We're adding the layer that makes the CRM, and every other tool in the stack, actually intelligent.

Part VI: The Organizational World Model

The Three Layers

The ultimate vision for the GTM Brain is to become what Palantir built for government intelligence: an organizational world model where data is represented the way humans actually reason about it.

The GTM Brain follows a three-layer architecture:

1. Content Layer (Evidence): Immutable source documents, the evidence trail. Emails, call transcripts, website sessions, CRM activities. Content is never edited, merged, or deleted. It's the canonical record of what was captured.

2. Entity Layer (Identity): What content mentions, such as people, organizations, places, products, events. This is where identity resolution happens. "Mike Torres" in an email, "M. Torres" in a meeting transcript, and "@miket" in Slack become the same person.

3. Fact Layer (Assertions): What content asserts, such as temporal claims about the world. Not just "the account is in-market" but "the account started showing intent on March 15" and "the intent signal weakened on August 3 when their budget got frozen." Each fact has a validity period, a status, and links to the entities and content it references.

The World Model Advantage

This three-layer architecture enables something traditional GTM tools can't do: simulation.

Want to know what would happen if you changed your ICP? Run a simulation over the ontology.

Want to understand why a certain segment isn't converting? Query the fact layer for patterns.

Want to predict which accounts will close this quarter? The model already has the features, it's been tracking them continuously.

The GTM Brain becomes a simulator for organizational physics: how decisions unfold, how buyer journeys progress, how signals predict outcomes.

This is what experienced sellers have that new hires don't, a mental model of how deals actually work. The GTM Brain makes that model explicit, queryable, and continuously improving.

The "Fixed Model, Expanding World" Insight

Many argue AI isn't transforming the economy because models can't learn on the job. Continual learning is hard, expensive, and brittle. That diagnosis is mostly right.

But it misses the point.

World models offer a different path: keep the model fixed, expand the world it reasons over.

If the world model keeps growing, capturing trajectories of state → action → outcome, a static model can behave as if it's learning. Not by updating weights constantly, but by performing better inference over richer evidence.

More trajectories mean better inference. Not because the model changed, but because the world model did.

This is why backtesting works. We can simulate how much qualified pipeline you would have captured had you followed our scoring model. You can see the historical counterfactual and the forward simulation.

Part VII: The Compounding Intelligence Moat

The Flywheel

Every customer that uses Warmly generates decision traces. Those traces improve the models. Better models deliver better outcomes. Better outcomes attract more customers.

This is a compounding advantage. The system gets smarter with use, not just for individual customers, but across the entire network.

The Integration Moat

The GTM Brain requires deep integration with customer systems (e.g. CRM, marketing automation, sequencing, enrichment, intent, product analytics, communication tools).

Each integration takes time to build and maintain. Each one creates switching costs. The more integrated the system, the harder it is to rip out.

But the real moat isn't the integrations themselves, it's what accumulates through them. The identity graph that resolves entities across systems. The signal history that enables temporal analysis. The decision traces that capture how the organization actually operates.

The Network Effect

Unlike most enterprise software, our system has cross-customer network effects:

• Identity resolution improves when we see the same person across multiple customers
• Signal patterns become clearer when we see how they play out across different deals
• Buying committee structures become predictable when we've seen thousands of similar companies
• Optimal messaging emerges from patterns across the entire customer base

Every customer makes the system better for every other customer. This compounds into something exponentially harder to compete with over time.

The Ground-Truth Data Moat

This is the unsexy moat that nobody in AI wants to talk about.

LLMs are inherently messy, probabilistic, and hard to debug. Data systems must be deterministic, auditable, and correct. But real-world data is never perfect. The art is managing the randomness and mitigating garbage over time.

Companies can't just immediately build a trustworthy, battle-tested system that produces robust company, contact, and signal data with correct waterfalls. It's taken us years to get right, trial by fire on where the breaking points are.

Take website de-anonymization. The time horizon for knowing if the data is correct can be months. But over time, we've built ways to manage the uncertainty. All data degrades over time. The moat is in managing that degradation.

Website visitors are our #1 signal: volume, accuracy, and richness of intent inside tracking who visits, when, and what they do.

The #1 predictor of becoming an opportunity: unique number of buying committee members visiting your website in the past 30 days.

For some companies, this is millions of visits per month. Triangulating state, ICP tier, and intent across that volume, then actioning appropriately, is a business in itself.

Get good data. Store it correctly. Manage it correctly. Then reap the rewards of agentic improvements.

Conclusion: The Decision Layer

The Story So Far

The problem: AI made GTM execution infinite, but pipeline is harder than ever to build. We solved the wrong problem, we built infrastructure for doing more, not for knowing what to do.

The diagnosis: Every system has two clocks. We've built trillion-dollar infrastructure for the state clock and almost nothing for the event clock. The reasoning that connects data to action was never treated as data.

The opportunity: The next trillion-dollar platforms will capture decision traces, the context graph that makes precedent searchable. But you need domain-specific world models.

The analogy: Tesla proved that dynamic, complex domains can't be solved with rules. You have to learn from accumulated experience. GTM has the same characteristics as driving.

The solution: The GTM Brain, a stateful decision system that ingests signals, resolves identities, builds a world model, computes expected values, decides what to do, executes through agents, and learns from outcomes.

The moat: Decision traces compound. Network effects accelerate. Switching costs lock in.

The vision: Every morning, it tells each rep what to do. Every week, it tells leadership what's working. Every quarter, it simulates strategic alternatives. The operating system for revenue.

The Bet We're Making

The debate right now is whether AI will transform enterprise software or just add features to existing categories.

Our answer: the next trillion-dollar platforms will be systems of record for decisions, not just data.

Traditional systems of record store current state. The GTM Brain stores decision intelligence: the reasoning that connects data to action, the traces that capture how choices were made, the world model that enables simulation and prediction.

CRMs don't go away. Warehouses don't go away. But neither of them can do what we do: capture the event clock, build the world model, and make AI agents actually intelligent about your business.

What We're Building

This is what Warmly is building. Not another tool in the GTM stack. Not a chatbot for your CRM. Not "AI features" bolted onto existing workflows.

The GTM Brain, a single, self-learning engine that:

• Sees every signal across your entire GTM surface area
• Resolves identities and builds the entity graph
• Captures decision traces and accumulates precedent
• Reasons over context that no other system can see
• Decides what to do (including when to do nothing)
• Executes through specialized agents
• Learns from every outcome
• Gets smarter every day

The companies that build this infrastructure will have something qualitatively different. Not agents that complete tasks, organizational intelligence that compounds. That simulates futures, not just retrieves pasts. That reasons from learned world models rather than starting from scratch every time.

The Path Forward

We're building the decision layer for GTM. And like Tesla learned with driving, like Palantir learned with intelligence analysis, the key is not to program the rules. It's to learn them from the accumulated experience of thousands of practitioners.

The event clock isn't just a metaphor. It's an architecture.

And we're making it operational.

It’s simple: plug in a profile, pull an email, export to your CRM or spreadsheet, repeat.

But once outbound scales and becomes more complex, a few questions usually pop up:

1. Is Skrapp’s data accurate enough for the volumes you’re sending?
2. Are you overpaying for just email finding when you also need enrichment, intent, or outreach?
3. How many extra tools are you stitching together just to get a clean list you can actually use?

That’s when teams start looking for Skrapp alternatives that don’t just find emails, but help you build better-targeted, higher-intent lead lists, and plug them straight into outreach sequences or your CRM.

However, in the jungle of tools all promising to get you more qualified leads and closed deals, picking the one that’s right for your business isn’t the easiest of tasks.

That’s why I created this guide, which shortlists the 10 best Skrapp.io alternatives in 2026, covering what they do best, where they fall short, and which type of GTM or sales team they actually make sense for.

Buckle up, and let’s begin.

TL;DR

• Skrapp.io is great for simple email finding, but it starts to break at scale, as teams hit limits with inconsistent accuracy in some niches, shallow enrichment, basic filters, and lightweight integrations.
• If you want to spend more time with in-market buyers (not just more contacts), Warmly is the real upgrade. It de-anonymizes website visitors, scores and prioritizes accounts with multi-source intent, uses AI SDRs to trigger the right outreach across email/LinkedIn/ads, and taps into Coldly’s 200M+ validated contacts so you’re building pipeline, not just spreadsheets.
• Other Skrapp alternatives fall into two camps: classic email finders (Hunter, Dropcontact, GetProspect) for “give me an email fast” and data + outreach platforms (Snov.io, Apollo, Saleshandy, Lusha, Kaspr, ContactOut) for “find + send” from one place.

Why do some sales teams switch from Skrapp.io?

Skrapp.io has earned its place as a go-to email finder for B2B teams.

It’s fast, accurate for most industries, easy to use, and loved for its Chrome extension that pulls verified emails straight from LinkedIn or company domains. 

Source

But once teams start scaling outbound or need deeper targeting, a few common limitations begin to show up. Here are the most cited reasons teams start exploring alternatives.

#1: Email accuracy can be inconsistent for certain industries

Even though Skrapp.io generally performs well, users mention occasional bounce issues, especially for niche markets, small-company domains, or less active LinkedIn profiles.

“Some of the emails retrieved by Skrapp.io are inaccurate. This can cause issues as it is critical for my work to have precise and reliable contact information, especially since I am based in another country. The inaccuracy of email data can disrupt communication efforts and lead to inefficiency in reaching out to potential contacts or clients.” - G2 Review

For high-volume senders, this inconsistency often means buying an additional verifier or pairing Skrapp with multiple tools.

#2: Limited enrichment beyond basic contact data

Skrapp.io is excellent at finding emails, but that also turns into its biggest constraint.

Many users say they wish the platform included deeper data like tech stack, company size, revenue bands, or additional personas inside the same account.

“Sometimes the email verification accuracy is inconsistent - a few verified emails still bounce. I also wish the platform offered deeper enrichment (like tech stack or company size) without needing additional tools.” - G2 Review

For GTM teams that want buyer intent, multi-source enrichment, or full ICP filtering, Skrapp typically becomes just one piece of the stack, not the core of it.

#3: Not enough advanced filters for precision targeting

Teams doing high-volume or account-based prospecting often want more granular filtering capabilities to avoid wasting credits.

“...It could be even better with a few enhancements - like more granular search filters, improved CRM integration options, and real-time validation for smaller company domains.” - G2 Review

More detailed filtering means cleaner lists and less time spent cleaning data after exporting.

#4: Integrations are limited compared to other data platforms

Skrapp.io supports basic CRM syncing, but many users want deeper, event-based, or more automated integration workflows.

“I dislike the limited integrations available in Skrapp.io. It's frustrating that there aren't more CRM options, which could significantly streamline my lead generation process and workflow.” - G2 Review

As outbound stacks get more interconnected, this becomes a bigger deciding factor.

What are the best Skrapp.io alternatives & competitors in 2026?

The top three Skrapp.io alternatives are Warmly, Snov.io, and Hunter.io.

Here’s an overview of all 10 competitors:

#1: Warmly

Warmly is the top Skrapp.io alternative in 2026 because it solves a bigger problem than just “finding an email.”

Instead of giving you a static contact that may or may not be ready to buy, Warmly uncovers the actual people engaging with your brand, scores them with multi-source intent, enriches them automatically, and triggers AI-led outbound and inbound engagement at the perfect moment.

Disclosure: Yes, Warmly is our own product, but I’ll keep this review straightforward and focused on the practical reasons teams upgrade from pure email finders to signal-based platforms.

So while Skrapp.io focuses on extracting emails from LinkedIn or domains, Warmly helps you understand:

1. Who’s in-market.
2. Who to prioritize.
3. Who else is involved in the buying committee.
4. What signal should trigger your next move.

And all that without requiring a stack of other tools.

In other words:

If Skrapp.io helps you build a list, Warmly helps you build pipeline.

Up next, we’ll dive into the features that make Warmly fundamentally different from classic email finders, and why more teams upgrade to it once pure scraping stops being enough.

1. AI-powered ICP scoring and real-time lead prioritization 

One of the biggest gaps with Skrapp.io is that it helps you find emails, but it doesn’t help you understand which prospects actually matter.

Warmly flips that completely.

Instead of relying on static lists or guesswork, Warmly uses an AI-driven Marketing Ops Agent to analyze your CRM, closed-won patterns, website behavior, and dozens of enrichment points to build a dynamic, always-improving model of your true ICP.

From there, every contact and account in your universe gets automatically scored and ranked based on:

• Fit (industry, size, role, tech stack, historical win patterns).
• Engagement with your resources (website activity, repeat sessions, pricing views).
• Social signals (LinkedIn posts, comments, competitor interactions).
• Third-party intent (Bombora surges across 5,000+ premium B2B sites).
• Buying committee activity across the entire account.

The result?

Your team no longer wastes time scraping random emails or uploading huge CSVs with mixed-quality prospects.

Warmly surfaces the people who look like your best customers and act like they’re in-market right now.

And because the scoring model updates in real-time, your highest-intent buyers automatically rise to the top the moment they show meaningful behavior.

This is the difference between building lead lists and building pipeline.

2. Person-level website de-anonymization + real-time intent signals

Skrapp.io helps you find emails for people you already know exist.

Warmly helps you identify the people you don’t know yet, but who are already researching you.

With enterprise-grade person-level de-anonymization, Warmly reveals exactly who is visiting your website in real time, not just the company. 

When a prospect hits your homepage, pricing page, or product pages, Warmly can surface:

• Their name.
• Job title and seniority.
• Role in the buying committee.
• Verified email and mobile number.
• Detailed company intelligence, including tech stack, revenue, and headcount.

Match rates regularly exceed industry norms, with 25%+ person match and 65%+ company match, which is far beyond what traditional IP-based reveal tools can provide.

But identification is only half the story.

Warmly pairs this with multi-source intent tracking, so you can instantly understand not just who the visitor is, but how ready they are to buy.

It automatically monitors:

• 1st-party intent → pricing views, repeat sessions, chat engagement, feature exploration.
• 2nd-party intent → LinkedIn posts, comments, competitor interactions.
• 3rd-party intent → Bombora research surges across thousands of B2B sites.

This gives your team a complete picture of buyer readiness the moment someone shows interest.

Instead of scraping lists and guessing who to reach out to, Warmly lets you activate outreach when intent is highest, and with full visibility into who the person is and why they’re worth engaging.

3. AI SDRs + orchestrated outbound workflows

Instead of relying on static, time-based sequences, Warmly uses AI SDRs and a full orchestration engine to trigger outbound the moment buyer intent appears. 

That means every outreach touchpoint is driven by real behavior, not guesswork.

Warmly’s AI SDRs can:

• Write personalized emails and LinkedIn messages tailored to the prospect’s role, signal level, and account history.

• Multithread outreach across the buying committee automatically.
• Route high-intent leads into different sequences based on score or signal type.
• Respond to behavior changes (pricing views, social engagement, email opens) in real time.
• Hand conversations off to a human rep the moment someone shows buying intent.

Instead of “upload list → run cadence,” Warmly builds always-on, intent-driven workflows, such as:

1. A decision-maker visiting the pricing page triggers a 3-step high-intent email + a LinkedIn DM.
2. Someone commenting on a competitor’s LinkedIn post gets added to a tailored outreach sequence track.
3. A Bombora surge at an account automatically kicks off outreach to all relevant personas.
4. Repeat website visitors get segmented into nurture vs. outbound vs. SDR-notification paths.

Every action is coordinated through Warmly’s orchestration rules, ensuring your outbound motion adapts instantly to what buyers are actually doing.

4. Build high-intent lists in minutes with Coldly 

If Skrapp.io gives you email discovery on top of LinkedIn profiles or domains, Coldly gives you an entire universe of verified, enriched B2B contacts ready to plug straight into your GTM workflows.

Coldly is Warmly’s built-in, continuously updated database of 200M+ verified B2B contacts, each enriched with the details SDRs and marketers actually need to build high-converting lists. 

Instead of relying solely on scraping or guesswork, Coldly provides:

• Verified work emails.
• Direct mobile numbers.
• LinkedIn URLs.
• Job titles & seniority mapping.
• Department + role relevance.
• Company insights (industry, headcount, revenue, tech stack, hiring signals).

Coldly also comes with powerful filtering capabilities, allowing you to really drill down into the data you need and create high-intent lists within minutes.

Moreover, Warmly’s CRM integrations enable you to automatically enrich records in real-time, ensuring your CRMs are always populated with the freshest, most accurate data.

For teams who don’t just want “an email,” but want the right person, at the right account, with the right data, Coldly becomes a far more powerful foundation for outbound.

Warmly’s integrations

A common limitation of Skrapp.io is its shallow integrations. 

Warmly, on the other hand, connects deeply with:

1. CRMs (HubSpot, Salesforce, Pipedrive, etc.) → Automatically enriches records, updates scores, logs signals, and routes high-intent leads instantly.
2. Outbound sequencers (Outreach, Salesloft, Apollo, Lemlist, etc.) → Pushes ICP-fit, in-market prospects directly into the right sequences based on intent.
3. Ad platforms (LinkedIn Ads, Meta, Google Ads, etc.) → Syncs warm audiences so you retarget buyers already showing interest.
4. Enrichment & identity (Demandbase, Clearbit, People Data Labs, etc.) → Multi-source matching creates a more accurate, complete contact profile.
5. Various other tools (marketing automation, alerts, conversational AI, etc.)

This way, every time a prospect visits your site, triggers intent, or interacts with a sequence, your entire stack knows instantly.

Pricing

Warmly keeps pricing simple and customizable. 

With a free plan that identifies 500 visitors monthly, you can start without committing to a full suite.

From there, you only add the agents you need - inbound, outbound, signals, or ops - and pricing scales based on outputs, not inflated feature bundles.

There are 4 paid plans that you can choose from:

1. Signals Agent: Custom pricing, which gives you access to 10,000 monthly credits, Person-Level Intent Signals (1st, 2nd, & 3rd Party), website de-anonymization capabilities, Warm lead alerts, and access to a contact database.
2. Inbound Agent - Engage: Starts at $20,000/year, and adds AI Chat, native outbound email and LinkedIn automation, intent-powered pop-ups, lead routing with custom CRM fields, and the ability to push leads to sales sequencers.
3. Inbound Agent - Scale: Starts at $30,000/year, and adds unlimited AI Chat agents, and the ability to push leads to Ad Audiences.
4. Marketing Ops Agent: Custom pricing, which adds AI-powered account scoring, AI enrichments and custom signals, buying committee identification, real-time buying intent signal tracking, and automatic updates across all enrichments, signals, account and lead lists.

Every action, such as email, LinkedIn message, or signal trigger, draws from your monthly credit pool, keeping costs aligned with activity levels.

How is Warmly different from Skrapp.io?

Skrapp.io is excellent at what it’s built for - finding and verifying emails quickly, especially from LinkedIn and company websites.

But Warmly isn’t an email finder. It’s a signal-based revenue platform.

The difference comes down to this:

1. Skrapp helps you find people to email.
2. Warmly helps you understand who’s ready to buy, and engages them automatically.

Here’s how they differ, side by side:

Pros & Cons

✅ Full funnel platform that combines discovery, intent tracking, enrichment, and outreach.

✅ AI-driven ICP scoring + multi-source intent tracking surfaces leads who are actually in-market.

✅ Real-time buyer identification.

✅ Automated outreach with AI SDRs + orchestration engine that enables personalized, multichannel outbound workflows triggered by behavior.

✅ Built-in contact database with 200M+ validated, constantly refreshed profiles and advanced filtering.

✅ Full-stack integrations.

✅ Inbound outreach features (AI Chat, live video chat, Warm Offers).

❌ Modular pricing.

#2: Snov.io

Best for: Startups, small sales teams, and agencies that want an affordable all-in-one email finder + outreach tool.

Similar to: Hunter.io, Saleshandy, Smartlead.

Snov.io is an all-in-one cold outreach platform that combines email finding, verification, and multistep sequencing in a single, easy-to-use workspace. 

It’s designed for teams that want to go from discovering leads to enriching them and launching campaigns without juggling multiple tools.

Features

• Email finder & domain search: Pull verified emails from LinkedIn, domains, websites, or bulk lists.
• 7-tier email verification: Reduce bounces with real-time validity checks and robust verification logic.
• Multichannel sequences: Automate personalized email + LinkedIn steps using conditions, triggers, A/B tests, and dynamic variables.

Pricing

Snov.io has three essential pricing plans to choose from:

1. Starter: $39/mo, includes 1,000 credits, 5,000 recipients, 3 mailbox warm-ups, multichannel campaigns, LinkedIn automation, Unibox, drill-down analytics, AI email builder, bulk prospecting, 7-tier email verification, warm-up tools, deliverability checks, CRM, tasks, etc.
2. Pro: Starting at $99/mo (unlimited team seats) and going up to $738 depending on the number of credits and recipients you want, includes everything in Starter plus more credits and recipients, unlimited warm-ups, reply sentiment analysis, A/B testing, spintax & dynamic content, campaign prioritization controls, unlimited warm-up volume, team permissions, shared do-not-email lists.
3. Custom Ultra: Custom pricing, includes 200,000+ credits, 400,000+ recipients, unlimited warm-ups/emails, unlimited seats/storage, credit rollover, flat-rate pricing, bulk email account management, top-priority support, and unlimited implementation services.

Pros & Cons

✅ Reliable LinkedIn extension.

✅ All-in-one email outreach platform, reducing the need for extra tools.

❌ Lower plans feel restrictive, as limits on automation and email verification can bottleneck teams that scale quickly.

#3: Hunter.io

Best for: Teams that want a simple, reliable, high-accuracy email finder for domain search, link-building, recruiting, or basic outbound.

Similar to: Snov.io, Dropcontact, GetProspect.

Hunter.io is one of the most widely used email finders thanks to its clean interface, strong deliverability, and fast domain-level search. 

It’s designed for teams that want verified emails at scale with basic email outreach features.

Features

• Outbound campaigns: A simple cold-email tool that lets you create, personalize, and schedule outreach directly from your Gmail, Outlook, or SMTP/IMAP account, all inside a lightweight interface built for quick outbound execution.
• Domain search: Find all publicly available emails associated with a company domain, complete with sources and confidence scores.
• Discover: Hunter’s built-in B2B lead database lets you find qualified companies and contacts using firmographic, technographic, and intent filters.

Pricing

Hunter offers a credit-based pricing model with plans that scale by monthly credits, enrichment perks, and the number of connected email accounts for outbound campaigns. 

All plans include unlimited team members, with higher tiers unlocking AI writing, advanced filters, and larger sending volumes:

1. Free Forever: Includes 50 credits/month, basic Discover database filters, 1 email account, 500 recipients per campaign
2. Starter: €49/month, includes 2,000 credits/month, auto-verification + lead enrichment, advanced Discover database filters, 3 email accounts, AI Writing Assistant, 2,500 recipients per campaign.
3. Growth: €149/month, includes 10,000 credits/month, everything in Starter, 10 email accounts, 5,000 recipients per campaign.
4. Scale: €299/month, includes 25,000 credits/month, everything in Starter, 20 email accounts, 15,000 recipients per campaign.
5. Enterprise: Custom pricing, provides flexible credit packages, access to all features, and custom campaign recipient volume.

Pros & Cons

✅ User-friendly interface and Google extension.

✅ Good email accuracy.

❌ Not ideal for high-volume prospecting or complex workflows.

#4: Apollo

Best for: Teams that want a full-stack sales platform with a huge B2B database, enrichment, lead scoring, and built-in outbound sequences.

Similar to: ZoomInfo, Lusha, Outreach.

Apollo is one of the most widely used Skrapp.io alternatives because it combines a massive contact database with enrichment, sequencing, a dialer, basic intent data, and task automation all in one platform. 

Instead of stitching together multiple tools, Apollo gives sales teams a single workspace to find, filter, engage, and track prospects across their entire funnel.

Features

• Massive, high-accuracy B2B database: Provides one of the largest and most rigorously verified B2B datasets with 210M+ contacts and 65+ data filters powered by real-time updates and a 2M-source contributor network.
• Multichannel outbound engine: You can launch elaborate campaigns in minutes using AI list building, AI-written messages, built-in dialers, and workflow automation, all from Apollo’s engagement workspace.
• Inbound lead conversion: Apollo turns inbound traffic into pipeline by identifying anonymous visitors, enriching form submissions, qualifying leads with 65+ data points, and automatically routing them to reps.

Pricing

Apollo has a free forever plan that includes 100 email and mobile phone finder credits, basic filters and prospecting, and two sequences.

If you need more, you can upgrade to one of three paid plans:

1. Basic: $59 per user per month.
2. Professional: $99 per user per month.
3. Organization: $149 per user per month.

Pros & Cons

✅ Reliable email/phone verification and accessible data, even on lower tiers.

✅ All-in-one workflow that replaces multiple tools by combining data, sequencing, enrichment, and outreach in one platform.

❌ Credit-based pricing becomes expensive at scale, especially for teams sending high volumes.

#5: Lusha

Best for: SDRs and sales teams that need reliable phone numbers and direct dials fast, especially when outreach depends on calling or multichannel contact with decision-makers.

Similar to: Hunter.io, Clearbit, ZoomInfo.

Lusha is a B2B contact-data platform best known for its fast, accurate direct dials and simple Chrome extension that helps SDRs pull contact info directly from LinkedIn. 

It’s designed for teams that want reliable phone numbers, straightforward data enrichment, and easy list exporting without dealing with an overly complex sales-engagement layer.

Features

• Highly accurate, globally compliant B2B database: Provides AI-verified, crowdsourced contact and company data with full GDPR/CCPA compliance and coverage across 45M+ North American contacts and 21M+ European contacts.
• AI-powered lead recommendations: Delivers daily, high-potential prospects based on your ICP and your in-platform behavior, automatically surfacing decision-makers and new companies you wouldn’t find through manual searching.
• Warm outbound intent signals: Shows you which companies are actively researching solutions like yours, pairing company-level intent scores with real-time behavioral signals so you can prioritize accounts already in-market.

Pricing

Lusha uses a credit-based pricing model where 1 credit reveals an email and 5 credits reveal a phone number. 

Plans differ mainly by credit volume, enrichment capabilities, and team features:

1. Free: Includes 40 credits/month, verified emails, limited intent signals, basic filters, Chrome extension, CRM integrations, API access, email sequences, AI recommendations, and 1 page of intent results.
2. Pro: Starts at $29.90/mo for 250 credits and goes up to $65.90/mo for 550 credits/mo, includes everything in Free and adds rollover credits (up to 2×), 3 seats, CSV enrichment up to 300 rows, bulk show for 50 contacts, basic analytics, tech + intent alerts, and shared credit pool.
3. Premium: Starts at $69.90/mo for 600 credits and goes up to $747.50 for 7,500 credits, includes everything in Pro, plus 5 seats, CSV enrichment up to 500 rows, bulk show for 150 contacts, and advanced analytics.
4. Scale: Custom annual plan, adds custom yearly credits, manager seat, CSV enrichment up to 10k rows, bulk show for 5k contacts, 25 intent topics, unlimited intent results, team controls, CSM, advanced support, SSO, and CRM enrichment.

Pros & Cons

✅ High-quality direct dials and verified emails.

✅ Seamless CRM integrations.

❌ Important filters or enrichment options are locked behind upper-tier plans.

#6: Kaspr

Best for: SDRs who live on LinkedIn and want fast, accurate prospecting without buying a complex, expensive data platform.

Similar to: Lusha, Snov.io.

Kaspr is a LinkedIn-first prospecting tool that reveals verified emails and phone numbers directly inside LinkedIn and Sales Navigator, helping SDRs build call-ready lead lists without switching tabs. 

It’s built for reps who want fast, on-the-go prospecting with automatic enrichment, list-building, and CRM syncing.

Features

• European-first B2B data coverage: Gives sales teams access to over 200M+ verified European B2B contacts powered by 120+ reliable data sources.
• LinkedIn extension: Lets you reveal phone numbers, emails, and company data directly while prospecting on LinkedIn, Sales Navigator, and Recruiter Lite. 
• Bulk lead enrichment: Teams can enrich lead data at scale either directly from LinkedIn or by uploading CSV files, so every record is complete with verified European phone numbers and emails.

Pricing

Kaspr uses a credit-based pricing model with four tiers, offering everything from a generous free plan to fully custom enterprise packages. 

Phone numbers and direct emails consume credits, while B2B email credits are unlimited on paid tiers:

1. Free: Provides 15 B2B email credits, 5 phone credits, 5 direct email credits and includes Kaspr Chrome Extension, lead management, and enrichment.
2. Starter: $65/user/month, includes unlimited B2B email credits, 100 phone credits, 5 direct email credits, everything in Free, plus Kaspr enabled on Sales Navigator, shared credits across the team, team usage reports.
3. Business: $99/user/month, includes unlimited B2B email credits, 200 phone credits, 200 direct email credits, everything in Starter, plus Kaspr on LinkedIn Recruiter Lite, up to 30,000 exports/year, and custom member permissions.
4. Enterprise: Custom pricing, includes unlimited B2B email credits and phone credits, intent data, advanced Salesforce enrichment, and advanced security.

Pros & Cons

✅ Accurate EU-focused data.

✅ Unlimited B2B emails on all paid plans.

❌ Phone and direct email credits are limited and are spent fast in high-volume prospecting.

#7: Dropcontact

Best for: EU companies or global teams selling into Europe that need GDPR-strict enrichment.

Similar to: Clearbit, Hunter.io.

Dropcontact is an email enrichment and verification tool built specifically for teams that want clean, compliant, fully automated contact data without relying on third-party databases. 

Instead of storing static records, Dropcontact generates and verifies emails in real time, making it one of the most privacy-safe options for B2B enrichment.

Features

• GDPR-compliant email finder & enrichment: Finds B2B emails in real time, automatically enriching, deduplicating, and updating your CRM with fully GDPR-compliant contact and company data.
• Real-time email verification: Validates, corrects, and updates email addresses using proprietary, database-free algorithms.
• Company change tracking: Automatically detects when a prospect changes jobs, enriches their record with new verified contact details, and keeps your database continuously up to date.

Pricing

Dropcontact keeps pricing for its email finder solution simple with a single credit-based model. 

Every 1 credit = 1 email found, and all searches include real-time enrichment, verification, and GDPR-compliant processing.

The pricing starts at €29 for 500 credits and can go up to 1,499€ for 100,000 credits.

If you want CRM enrichment, too, you’ll have to pay extra.

The prices for this solution are not published, so you’ll have to contact Dropcontact’s sales team for more details.

Pros & Cons

✅ Exceptionally accurate, GDPR-compliant email enrichment.

✅ Fast, automated enrichment at scale.

❌ Focused on EU emails only.

#8: Saleshandy

Best for: Teams who want one platform for both lead generation and email outreach, and agencies running high-volume outbound for multiple clients.

Similar to: Apollo, Lemlist, Snov.io.

Saleshandy is an all-in-one outbound platform that combines a large B2B lead database with cold email automation, deliverability tools, and analytics.

With it, you can tackle the entire outreach process, from prospecting to outreach, in a single interface.

Features

• Lead Finder: Rich database that gives you access to 700M+ contacts and 60M+ companies with filters like job title, industry, location, company size, and technologies.
• Cold email sequences: Create multi-step personalized email cadences with automated follow-ups, custom sending schedules, and merge tags, all designed for higher reply rates.
• Built-in email deliverability tools: Includes inbox warm-up, bounce protection, spam-checking, and smart sending logic to help your campaigns land in the primary inbox instead of spam.

Pricing

Saleshandy uses a modular pricing model with separate plans for Cold Emailing, B2B Lead Finder, and Inbox Placement Testing. 

This lets teams pay only for what they use and scale each component independently.

Cold Emailing Plans:

• Outreach Starter: $36/month, includes unlimited email accounts, AI-powered sequences, dynamic IP address, unlimited email warm-up, 2,000 active prospects, 6,000 emails/month, 50 Lead Finder credits, 1,000 email verification credits.
• Outreach Pro: $99/month, includes everything in Starter, unlimited team members, integrations/API, 30,000 active prospects, 150,000 emails/month, 5,000 verifications, follow-up sequences, advanced sender rotation.
• Outreach Scale: $199/month, includes everything in Pro, plus unlimited teams, whitelabeling, 60,000 active prospects, 240,000 emails/month, 10,000 verifications.
• Outreach Scale Plus: $299/month, includes everything in Scale, plus 100,000 active prospects, 300,000 emails/month, dedicated success manager.

There are also a few add-ons:

• AI Credits: You can purchase 5,000 for $10 and 1M for $2,000
• Email Verification: 30,000 emails for $79.

Lead Finder Plans:

• Lead Starter: $35/month, includes 500 monthly credits + rollover, real-time verified leads, personal & work emails included, advanced search filters.
• Lead Pro: $69/month, includes everything in Starter plus 1,000 monthly credits.
• Lead Scale: $119/month, everything in Starter plus 2,500 monthly credits.
• Lead Scale Plus: $239/month, everything in Starter plus 5,000 credits.

You can also buy one-time credits, with the price starting at $57 for 1,000 credits and going up to $5,655 for 100k credits.

Inbox Placement Testing Plans:

• Inbox Free: Includes 2 tests/month with deliverability reports, SpamAssassin score, and domain/IP reputation report.
• Inbox Starter: $49/month, includes everything in Free, plus 120 tests/month + up to 50 sending accounts per test, and placement improvement insights.
• Inbox Pro: $99/month, includes everything in Starter, plus 250 tests/month, automated recurring tests, exportable reports, and test scheduling.
• Inbox Scale: $199/month, includes everything in Pro, plus 600 tests/month + unlimited sending accounts per test, advanced deliverability automations.

Pros & Cons

✅ Strong deliverability features.

✅ Accurate real-time analytics for opens, replies, clicks, and bounce-rate optimization.

❌ Advanced email personalization and enrichment still require external tools.

#9: GetProspect

Best for: Teams that need a simple and affordable email finder.

Similar to: Lusha, Kaspr, Dropcontact, Snov.io, Hunter.

GetProspect is a B2B email finder and lead-generation tool that lets users extract contact data directly from LinkedIn, company websites, or via bulk list uploads. 

It focuses on simple prospecting workflows, list management, and fast enrichment for sales teams that don’t need an all-in-one outbound platform.

Features

• B2B contact database: A large, continuously updated B2B database with 230M+ corporate emails, 26M companies, and 130M mobile numbers, allowing users to source new prospects without relying solely on LinkedIn scraping.
• Chrome extension: Lets you extract verified emails directly from any LinkedIn profile, LinkedIn group, or website.
• Reverse email lookup: Uncovers full lead profiles from a single email address, instantly revealing name, company, job title, industry, location, website, and more.

Pricing

GetProspect has three plans:

1. Free: Includes 50 valid emails, 100 verifications, LinkedIn extension, advanced filters, CSV/XLSX export.
2. Starter: $49/month, includes everything in Free, plus 1,000 valid emails, 2,000 verifications, 5 phone numbers, CSV enrichment, dashboards & reports.
3. Pro: $99/month, includes everything in Starter, plus 5,000 valid emails, 10,000 verifications, 5 phone numbers, native integrations.

If you need more phone credits, you can purchase them at a price starting at $49/month for 150 monthly credits.

Extra email verification credits can also be bought. The price starts at $29 for 10,000 verifications and goes up to $2499 for 10M verifications.

Pros & Cons

✅ Simple, intuitive UI.

✅ Chrome extension makes it effortless to pull emails and profiles directly from LinkedIn and other web sources.

❌ Database coverage is smaller than major competitors, so some industries and regions require extra manual digging.

#10: ContactOut

Best for: Recruiters, talent sourcers, and B2B teams who need highly accurate personal emails and phone numbers pulled directly from LinkedIn profiles.

Similar to: Lusha, RocketReach, and HireEZ.

ContactOut is an email and phone number finder built primarily for recruiters and B2B teams who rely heavily on LinkedIn for sourcing talent and prospects. 

It focuses on providing highly accurate personal and professional contact details, often surfacing data that competitors miss.

Features

• Chrome extension: Reveals emails, phone numbers, and social profiles directly on LinkedIn and company websites.
• Large B2B database with strong personal email accuracy: Provides instant access to 350M professionals across 36M companies, enriched with 20+ filters including seniority, department, technologies used, and more.
• Automated email campaigns: Send outreach and follow-up sequences directly from the platform, which makes it useful as a lightweight outreach tool for both sales and recruiting teams.

Pricing

ContactOut has several tiers designed to accommodate teams of various sizes and needs:

1. Free: Includes 5 emails, 5 phone numbers, and 5 exports/day, browser extension, search portal, and trial of premium features
2. Email: $49/month, includes everything in Free, plus unlimited emails, 300 exports/month, email campaigns, list builder
3. Email + Phone: $99/month, includes everything in Email, plus unlimited phone numbers, 600 exports/month, data enrichment, and AI Email Writer
4. Team/API: Custom pricing, includes everything in Email + Phone, plus 20% more data coverage, 700M+ profiles with bulk access, works with Recruiter Pro, Salesforce + ATS integrations, team management + reporting.

Pros & Cons

✅ Highly accurate personal & work emails.

✅ Quality validation, with many users highlighting that ContactOut’s verified lists outperform alternative tools in accuracy.

❌ Provides too few credits for the price.

Final thoughts: Which Skrapp.io alternative actually moves the needle?

Most Skrapp.io alternatives fall into one of three buckets:

1. Email finders (Skrapp, Hunter, Dropcontact, GetProspect) - perfect for “give me an email fast,” but still leave you guessing who to prioritize.
2. Data + outreach platforms (Apollo, Snov.io, Saleshandy, Lusha, Kaspr, ContactOut) - better for “find + send,” but still mostly blind to intent and real-time buying signals.
3. Signal-based intent platforms (Warmly) - built for “who’s actually ready to talk right now, and how do we turn that into pipeline automatically?”

So the real question isn’t “Which tool finds the cheapest emails?”

It’s:

“Which tool helps my team spend more time with in-market buyers and less time sifting through cold lists?”

If you’re happy with classic list-building and manual cadences, any of the more traditional Skrapp.io competitors in this guide will do the job.

But if you want to:

• Know who’s on your site right now (and whether they match your ICP),
• See real buying intent across your website, LinkedIn, and 3rd-party research,
• Let AI SDRs trigger the right email, DM, or ad at the exact right moment,
• Build high-intent lists with Coldly’s 200M+ validated contacts instead of random scrapes,

…then it probably makes sense to look beyond email finders and into a signal-based revenue platform like Warmly.

If you’re curious how this looks in your own funnel, with your traffic, your ICP, and your existing tools, the easiest next step is to see it live.

Book a Warmly demo, and we’ll walk you through exactly how to create more qualified opportunities from the buyers already raising their hands.

Read More

• 10 Best VoilaNorbert Alternatives & Competitors [Nov 2025] - Find out which email finders and enrichment tools actually outperform VoilaNorbert on data accuracy, pricing, and real-world outbound results.
• How To Successfully Do ABM At Scale In 2025 - A practical playbook for turning ABM from a slide-deck idea into a scalable, signal-driven motion that consistently creates pipeline from your highest-value accounts.
• 10 Best Sales Engagement Tools & Software [November 2025] - Compare the top sales engagement platforms side by side so you can choose the one that helps your reps send fewer, smarter touches, and close more deals.
• 8 Sales Plays For GTM That Work In 2025 [Expert-Sourced] - Steal 8 proven, expert-sourced sales plays you can plug straight into your GTM motion to warm up accounts, multithread deals, and accelerate opportunities already in your pipeline.
• 10 Best Success AI Alternatives & Competitors [Nov 2025] - Explore 10 Success AI competitors that go beyond generic “AI outreach” and help you personalize at scale, protect deliverability, and book more meetings with real intent.
• How To Do Lead Scoring In Clay In 2025? - Learn exactly how to build, automate, and iterate a lead-scoring system inside Clay so your sales team sees your highest-intent, highest-fit accounts at the top of the queue every day.

I get the appeal. 

You plug in your ICP, spin up multichannel sequences, let the AI write your emails, and hope the meetings start rolling in. 

For a lot of teams, that’s a huge step up from manual list building, messy spreadsheets, and juggling five different tools just to run one outbound motion.

But here’s the thing I keep hearing from GTM and sales leaders:

Salesforge is strong on sequences and AI-written emails, but lighter when it comes to deep, multi-source enrichment, dynamic audience building, and true signal-based orchestration across your whole revenue stack.

So in this guide, I’ll walk you through the 10 best Salesforge alternatives in 2026, including everything from data-first tools that nail enrichment and list building, to full-funnel platforms that identify in-market accounts, score them, and then orchestrate AI-powered outreach across channels.

I’ll review their features, pricing, and overall pros and cons, so you can get the right idea of which of these platforms is the best fit for you.

Let’s dive in!

TL;DR

• Salesforge is great for AI-written sequences and safe sending, but its reporting, enrichment, and signal depth are limited, which becomes a problem once you want multi-source intent, richer analytics, and more advanced data workflows.
• Warmly is the best Salesforge alternative if you want to move from “just sending more outreach” to a true signal-based revenue engine, identifying real people on your site, scoring and prioritizing accounts with multi-source intent, and orchestrating AI-led engagement across email, LinkedIn, chat, ads, and your CRM.
• Tools like Apollo, ReachInbox, Smartlead, Instantly, Lemlist, Klenty, Snov.io, FlashIntel, and Outboundly each cover different gaps, from deeper data and enrichment to multichannel engagement to high-volume, deliverability-obsessed cold email at various price points and complexity levels.

Why have some sales teams been looking to make the switch from Salesforge?

Salesforge has earned a strong reputation for helping teams scale cold email outreach without running into domain bans, deliverability issues, or messy setups. 

Users consistently highlight its clean UI, strong personalization, and how reliably it manages warmup and sending infrastructure behind the scenes.

Source

But even with all of those strengths, some teams eventually hit limitations, especially as their GTM motions become more signal-driven, data-heavy, and integrated across multiple systems.

Here are the most common reasons users start exploring alternatives:

#1: Limited reporting and analytics depth

Across reviews, teams consistently mention that Salesforge’s reporting is clean but fairly basic.

They want deeper breakdowns, more granular visibility into sequence performance, and better ways to track contacts across campaigns.

“While the core functionality is excellent, the native analytics and reporting dashboard could be more robust. I would love to have more granular, in-depth metrics directly within the platform to make quicker, data-driven decisions without exporting data.” - G2 Review

For advanced teams running multi-channel experiments or wanting rich operational insights, this can feel restrictive.

#2: Some features require a learning curve

Even satisfied users point out that Salesforge isn’t instantly intuitive once you move beyond simple sequences.

More complex setups, such as multi-step automation, advanced personalization, integrations, or managing multiple mailboxes, often require extra time, support, or trial-and-error.

“What I dislike about Salesforge is that the learning curve can be a bit steep at first, especially when setting up advanced sequences or integrations. Some features could also use more in-depth tutorials.” - G2 Review

Not a dealbreaker, but a common friction point for fast-moving teams.

#3: Certain capabilities feel limited or locked behind higher tiers

A few areas show up repeatedly in reviews:

• API access is available only on higher plans.
• Limited customization in contact tracking.
• Not enough native email verification credits.
• Users wish that personality, deliverability, or personalization features were more advanced.

“Wouldn't say it was a downside, but we'd like to see more email verification credits so we didn't have to use an external provider.” - G2 Review

For some teams, this means they still need additional tools (verification, analytics, enrichment), reducing the appeal of an “all-in-one” stack.

#4: Enrichment and data depth aren’t as strong as dedicated intelligence tools

Salesforge is excellent at deliverability and outreach execution, but it’s not a deep data platform.

As such, it lacks:

• Multi-source enrichment.
• Real-time buying signals.
• Dynamic list building.
• Buying-committee identification.

Users who outgrow basic list uploads often move toward tools that provide richer, cleaner, more actionable contact and intent data before they press send.

What are the best Salesforge alternatives in 2026?

The best alternatives to Salesforge are Warmly, Apollo, and ReachInbox.

Here’s a comprehensive breakdown of all 10 tools I selected:

#1: Warmly

Warmly is the best Salesforge alternative in 2026 for teams that want to move beyond traditional outreach and build a true signal-driven revenue engine. 

Instead of relying on static lists or basic sequence automation, Warmly uncovers the real people visiting your site, monitors their buying intent across 1st, 2nd, and 3rd-party signals, and then activates AI agents to engage them instantly across chat, email, and LinkedIn.

Disclosure: Even though Warmly is our own platform, I’ll keep this review unbiased and focused on why many teams choose it as their next step once they outgrow tools centred purely on email sequences and deliverability.

The main reason why many teams choose Warmly isn’t that they want “another outbound tool”.

It’s because they want cleaner data, stronger buyer insights, and automated, real-time activation that helps them engage prospects when they’re actually ready.

Let’s look at some of the features that make Warmly such a strong Salesforge alternative:

1. Find your best-fit prospects with AI-powered ICP scoring and real-time prioritization

One of the biggest challenges outbound teams face is figuring out who is actually worth engaging, not just who fits a firmographic filter. 

That’s where Warmly’s AI Marketing Ops Agent stands out. 

Instead of relying on static lists or surface-level attributes, Warmly builds a living, evolving model of your true ICP and continuously ranks every contact and account by real buying intent.

Here’s how it works:

Warmly helps you understand who your true ICP is, not by relying on just firmographics, but by analyzing your:

1. CRM.
2. Closed-won patterns.
3. Website behavior.
4. Dozens of enrichment signals. 

It then uses this data to build a self-improving scoring model that continuously surfaces prospects who look and act like your highest-converting customers.

And it goes a step further by automatically assembling the full buying committee for every target account, including vital decision-makers, influencers, and end users, enriched with validated emails, mobile numbers, and LinkedIn profiles so you never need to dig through org charts again.

From there, Warmly keeps your TAM prioritized in real time by monitoring 1st, 2nd, and 3rd-party buying signals.

This includes:

• 1st-party: pricing page visits, repeat sessions, product usage, chat activity, and CRM engagement.
• 2nd-party: LinkedIn posts, comments, competitor discussions, and broader social conversations tracked through Warmly Social Signals
• 3rd-party: Bombora research intent across 5,000+ premium B2B sites, showing which accounts are actively evaluating solutions like yours

Warmly brings all of these signals into a single ranking system so your team always knows exactly who to prioritize, and why, right when intent is highest.

Get a closer look at Warmly’s Mar Ops Agent here:

‎

2. Identify real people on your website with person-level de-anonymization

Most outbound tools can tell you which companies visit your website, but Warmly goes further. 

With enterprise-grade person-level de-anonymization, Warmly reveals both the companies and the actual individuals browsing your site in real time, with 25%+ contact match rates and 65%+ company match rates, which are among the highest in the industry.

When a potential prospect hits your homepage, pricing page, or product pages, Warmly can identify:

• The person’s name.
• Job title & seniority.
• Role in the buying committee.
• Validated email & mobile number.
• Company details, revenue, headcount, tech stack, and more.

Once identified, Warmly automatically syncs these visitors back into your CRM, lead routing rules, ad audiences, or outbound sequencers, eliminating manual uploads and helping your team reach high-intent buyers the moment they show interest.

3. Turn static lists into automated outreach with AI SDRs & orchestration workflows

Warmly doesn’t just identify high-intent prospects - it acts on those signals automatically. 

With the AI Nurture Agent and Orchestrator working together, Warmly runs always-on outbound sequences across email and LinkedIn based on real-time engagement, letting your team scale prospecting without increasing headcount.

Instead of static cadences, Warmly uses intent signals to trigger the right message at the right moment. 

New job change? Visiting your pricing page? Commenting on a competitor’s LinkedIn post? 

Warmly instantly places that lead into a tailored sequence that matches their level of intent.

You also get full control over every step of the journey. 

Warmly’s orchestrated workflows use your lead scores, signals, and CRM data to route each prospect into the right next action, whether that’s an email sequence, a LinkedIn DM, an SDR notification, or a nurtured segment.

For high-intent accounts, Warmly automatically finds all key decision makers using your CRM, Apollo, Demandbase, ZoomInfo, or Warmly’s own database, then multithreads outreach across the buying committee with personalized messages that consider whether a contact is already being worked.

And because every segment is built on real-time 1st, 2nd, and 3rd-party intent, Warmly can also sync these audiences directly into LinkedIn, Meta, and Google Ads, letting you run hyper-targeted campaigns against warm leads instead of cold audiences.

4. Convert high-intent website visitors with AI-powered inbound engagement

In addition to taking care of outbound outreach, Warmly also tackles your inbound to make sure all your essential marketing channels are covered.

Namely, the platform’s AI Inbound Agent helps you turn more website traffic into pipeline by engaging visitors the moment their intent is highest. 

Instead of waiting for a form fill or hoping someone books a demo, Warmly automatically greets every visitor with personalized, human-like AI chat, which is tailored to their behavior, source, and buying intent.

Moreover, if a warm lead is ready to talk, the AI pulls your team directly into the conversation so you can jump in live. 

And when the moment calls for a deeper connection, the chat can instantly transition into a video call, helping your team build trust faster and capture interest before it cools.

Because Warmly plugs into your CRM, routing rules, and scoring model, every inbound interaction is captured, enriched, and prioritized automatically. 

The result is simple: more real conversations, fewer missed opportunities, and higher conversion rates from the traffic you’re already generating.

5. Build high-quality lead lists instantly with the Coldly contact database

For teams that want cleaner data and faster list building, Warmly includes Coldly - a constantly refreshed contact database with over 200 million verified B2B profiles. 

Every record comes pre-enriched with validated emails, mobile numbers, LinkedIn URLs, job titles, seniority, and company intelligence, so your outbound sequences can start immediately without manual cleanup.

Coldly goes beyond basic firmographic filtering by supporting deeper criteria like tech stack, hiring signals, revenue bands, and role-specific attributes. 

And because it’s connected directly to Warmly’s scoring engine, every contact you pull can be ranked by fit and intent automatically.

As a result, you can build targeted lists from scratch, enrich existing CRM records, or surface new stakeholders inside high-intent accounts that Warmly identifies through signals. 

And with the Chrome extension, your reps can pull enriched contact data directly from LinkedIn or any website in one click, making manual prospecting dramatically faster.

Warmly’s integrations

Warmly connects directly to the tools your sales and marketing teams already rely on, making it easy to activate intent signals and keep your entire revenue stack aligned. 

It syncs seamlessly with platforms like:

• HubSpot, Salesforce (CRM & routing).
• Outreach, Apollo, Salesloft (sequencing & outbound).
• LinkedIn Ads, Meta, Google Ads (signal-based retargeting & audience building).
• Demandbase, Clearbit, 6Sense (enrichment & de-anonymization).
• People Data Labs and other data vendors (multi-source validation).

Because signals, scores, and enriched records flow automatically across your stack, teams no longer have to export CSVs, manage spreadsheets, or manually update lead statuses. 

Warmly ensures every tool sees the same dynamic, real-time view of each account and contact.

The result is a GTM motion that stays coordinated across channels, whether a prospect visits your site, engages with a competitor post, triggers a Bombora surge, or responds to a sequence.

Pricing

Warmly’s pricing is modular and component-based and comes with a free plan that lets you identify up to 500 website visitors per month. 

Instead of locking you into fixed bundles, Warmly lets you pick only the components you need. Pricing is based on the outputs you use, not a generic monthly plan.

There are 4 paid plans that you can choose from:

1. Signals Agent: Custom pricing, which gives you access to 10,000 monthly credits, Person-Level Intent Signals (1st, 2nd, & 3rd Party), website de-anonymization capabilities, Warm lead alerts, and access to a contact database.
2. Inbound Agent - Engage: Starts at $20,000/year, and adds AI Chat, native outbound email and LinkedIn automation, intent-powered pop-ups, lead routing with custom CRM fields, and the ability to push leads to sales sequencers.
3. Inbound Agent - ScaleI: Starts at $30,000/year, and adds unlimited AI Chat agents, and the ability to push leads to Ad Audiences.
4. Marketing Ops Agent: Custom pricing, which adds AI-powered account scoring, AI enrichments and custom signals, buying committee identification, real-time buying intent signal tracking, and automatic updates across all enrichments, signals, account and lead lists.

Warmly’s monthly credits are used to track and engage potential leads. Each touchpoint, such as an email or LinkedIn message, counts as a credit.

How is Warmly different from Salesforge?

Salesforge is excellent for what it’s built to be: a strong email/LinkedIn sequencing tool with reliable deliverability, a clean UI, and AI-written messages that help teams scale outbound faster.

But Warmly takes a fundamentally different approach.

Instead of focusing only on sending more sequences, Warmly helps you find the right buyers, understand their real-time intent, and then orchestrate AI-led engagement across your entire funnel, including inbound, outbound, chat, ads, and CRM.

Here’s how the two platforms differ at a glance:

Pros & Cons

✅ High-quality list building driven by AI scoring, continuous enrichment, and a 200M+ contact database.

✅ Powerful signal-based intelligence with 1st, 2nd, and 3rd-party intent.

✅ Person-level de-anonymization with industry-leading match rates.

✅ AI agents across the full funnel.

✅ Dynamic, real-time orchestration across email, LinkedIn, chat, ads, and CRM.

✅ Deep multi-source enrichment.

❌ Modular pricing.

#2: Apollo

Best for: Integrated B2B sales teams that want a massive contact database + outreach automation + deal execution, all in one platform.

Similar to: Outreach, ZoomInfo.

Apollo is an all-in-one sales intelligence and engagement platform that pairs a massive B2B contact database with built-in sequencing, automation, and enrichment. 

It helps teams replace hours of manual prospecting with fast, targeted workflows that scale.

Features

• Huge contact & company database with rich filtering: Apollo gives access to 210M+ contacts and tens of millions of companies, letting you filter by industry, job title, company size, revenue, technographics, and more.
• AI lead scoring: Apollo’s AI lead scoring surfaces your highest-value prospects by analyzing your historical wins and real-time demographic, firmographic, and behavioral data.
• AI-powered outbound engine: Lets you instantly build targeted multichannel campaigns, prioritize high-impact tasks, and automate repeatable plays.

Pricing

Apollo has a free forever plan that includes 100 email and mobile phone finder credits, basic filters and prospecting, and two sequences.

If you need more, you can upgrade to one of three paid plans:

1. Basic: $59 per user per month.
2. Professional: $99 per user per month.
3. Organization: $149 per user per month.

Pros & Cons

✅ Large, reliable B2B database with strong email accuracy and plenty of verified contacts.

✅ AI-assisted prospecting & outreach helps personalize messages and speed up making campaigns.

❌ Daily sending limits on lower-tier plans can feel restrictive for high-volume outbound teams.

#3: ReachInbox

Best for: Teams and agencies focused on high-volume cold emailing with strong deliverability and minimal setup friction.

Similar to: Instantly, Smartlead.

ReachInbox is an AI-powered cold email outreach platform built to automate, scale, and safeguard high-volume outbound. 

It handles warm-up, rotation, deliverability, personalization, and follow-ups so your emails consistently hit inboxes instead of spam.

Features

• AI warm-up: ReachInbox automatically sends and replies to warm-up messages to strengthen your sender reputation.
• Personalized campaign builder: Build fully personalized cold email campaigns in minutes with AI that analyzes each prospect and writes tailored outreach sequences automatically.
• Inbox placement insights: See exactly where your emails land (Primary, Promotions, Spam) so you can diagnose deliverability issues and optimize outreach.

Pricing

ReachInbox uses a modular pricing model, where Outreach, Lead Finder, Website Visitor Identification, and Inbox Placement Testing are all billed separately.

This allows teams to pay only for the exact components they need:

Outreach pricing:

• Free: $0/mo, includes 3 email accounts, 14-day warm-up, 50 active leads/mo, 250 emails/mo, 500 AI word credits.
• Starter: $39/mo, includes unlimited email accounts, unlimited AI warm-up, 2,000 active leads/mo, 10,000 emails/mo, 5,000 AI word credits.
• Growth: $99/mo, includes 50,000 active leads/mo, 250,000 emails/mo, 25,000 AI word credits, 20 workspaces, API & webhooks, priority support.
• Pro: $299/mo, includes 200,000 active leads/mo, 1M emails/mo, 150,000 AI word credits, 50 workspaces.
• Enterprise: Starts at $999/mo, includes 1M+ emails monthly, 500k active leads, unlimited mailboxes, unlimited warm-up, white labeling, dedicated manager.

Lead Finder pricing:

• Starter: $29/mo, includes 1,000 leads/mo, 500M+ lead database, verified exports, unlimited lead searches.
• Growth: $69/mo, includes 5,000 leads/mo, and everything in Starter.
• Pro: $99/mo, includes 10,000 leads/mo, and everything in Starter.
• Pro Max: $199/mo, includes 25,000 leads/mo, and everything in Starter.

Website Visitor Identification pricing:

• Free: Includes 300 LinkedIn profile resolutions, 100 email resolutions
• Starter: $49/mo, includes 500 LinkedIn resolutions, 250 email resolutions, unlimited domains, CSV export, pageview history, filtering.
• Growth: $99/mo, includes unlimited LinkedIn resolutions, 750 email resolutions, add-to-campaign, repeat visitor tracking.
• Pro: $199/mo, includes unlimited LinkedIn resolutions, 2,000 email resolutions, add-to-lead-list + all Growth features.

Inbox Placement Tests pricing: 

• Free: Includes 1 test/mo, 10 sender accounts/test, ESP insights + blacklist checks.
• Starter: $19/mo, includes 25 tests/mo, 100 sender accounts/test.
• Growth: $29/mo, includes unlimited one-time tests.
• Pro: $69/mo, includes unlimited tests, unlimited recurring tests, unlimited sender accounts, API access.

Pros & Cons

✅ Intuitive, easy-to-use interface.

✅ Excellent deliverability tools, such as a strong warm-up engine, automated domain health checks, and inbox rotation.

❌ Doesn’t have advanced reply management features.

#4: Smartlead

Best for: Agencies and in-house teams needing high-volume cold outreach with minimal manual setup and maximum deliverability safeguards.

Similar to: Instantly, ReachInbox, and SmartReach.

Smartlead.ai is an AI-powered cold email outreach platform that enables businesses to run high-volume campaigns with unlimited mailboxes, automatic warm-up, and built-in deliverability infrastructure. 

It automates personalization, email rotation, and follow-ups so teams can scale outreach without sacrificing inbox placement.

Features

• Unlimited mailboxes & automated warm-up: Connect as many sender accounts as you need and let Smartlead progressively warm them up to build sender reputation and avoid deliverability issues.
• AI-powered personalization & sequence generation: Use AI and dynamic variables to craft personalized cold emails and follow-ups tailored to each prospect.
• Advanced deliverability intelligence: Shows you exactly where your emails land (inbox, promotions, spam) while tracking domain/IP reputation, blacklist status, and spam triggers so you can fix issues before campaigns go live.

Pricing

Smartlead offers three main plans, all with unlimited email warm-up, unlimited mailboxes, dynamic IP rotation, and access to its centralized master inbox:

1. Basic: $39/month, includes 2,000 active leads, 6,000 emails/month, dynamic sequences, detailed analytics, and 24-hour support.
2. Pro: $94/month, includes 30,000 active leads, 150,000 emails/month, ChatGPT-4 assistance, global block list monitoring, webhooks, integrations, unlimited seats, and priority support.
3. Custom: Starting from $174/month, offers up to 12M active lead credits, up to 60M email credits/month, dynamic sequences, unlimited warm-up and mailboxes, advanced assistance tools, and all platform features.

In addition to these tiers, there are several add-ons that come at an extra price:

SmartDelivery - Helps you analyze inbox placement, spam triggers, and copy quality before launching sequences:

• Growth: $49/month, includes 120 sequence tests/month, up to 50 sender accounts/test.
• Pro: $174/month, includes unlimited tests, up to 200 senders/test, placement-optimized copy, campaign warmup, full API + full white-label.
• Expert: $599/month, includes unlimited tests, up to 500 senders/test, advanced optimization tools, full API + white-label.

Email Verification - Pay-as-you-go verification with discounts for monthly billing. The pricing starts at $16.50 for 6k credits, and can go up to $2030.60 for 960k credits.

SmartServers - Dedicated sending infrastructure: $39/server/month, gives teams dedicated IPs, configurable settings, and enterprise-grade deliverability control.

Pros & Cons

✅ Extremely reliable and scalable for high-volume cold email.

✅ Unlimited warm-up, inbox rotation, and mailbox support make it ideal for multi-account outbound.

❌ Reporting dashboards lack deeper customization and analytics that some teams want.

#5: Instantly

Best for: Agencies, startups, and sales/marketing teams running high-volume cold email outreach who want a scalable, all-in-one outbound engine.

Similar to: Smartlead, Mailshake.

Instantly is a cold email outreach and sales engagement platform that combines a huge built-in B2B lead database, unlimited sending accounts with warm-up and rotation, and AI-driven campaign automation, letting you send high-volume outreach while maximizing inbox placement. 

It’s designed so you can go from “new campaign idea” to “live outbound flow” in minutes, without worrying about deliverability or scaling bottlenecks.

Features

• Built-in B2B lead finder & database: Access 450M+ verified leads, filter by firmographics (industry, company size, role, etc.), and enrich contacts before outreach.
• AI assistants (Copilot & Reply Agent): Use AI to help generate campaigns, write email copy, and even handle replies automatically based on lead responses.
• Analytics & A/B testing: Track open rates, reply rates, clicks, and test different versions of your emails to optimize performance over time.

Pricing

Instantly offers separate pricing for Outbound, Lead Data (SuperSearch), and its built-in CRM, allowing teams to mix and match components based on their outbound volume and data needs:

Outreach:

• Growth: $37/mo, includes unlimited inboxes & warm-up, 1,000 uploaded contacts, 5,000 emails/month, and chat support.
• Hypergrowth: $97/mo, includes unlimited inboxes, unlimited warm-up, 25,000 uploaded contacts, 100,000 emails/month, and premium live support.
• Light Speed: $358/mo, includes everything in Hypergrowth + 500,000 emails/month, 100,000 uploaded contacts, and access to Instantly’s SISR deliverability system for improved placement.

SuperSearch:

• Growth: $47/mo, includes 1,500–2,000 Instantly Credits/mo with access to the 450M+ lead database, 13 advanced filters, multi-provider enrichment, AI researcher, AI writer, full company/person enrichment, and exports to CRMs/outreach tools.
• Supersonic: $97/mo, includes 5,000–7,500 Instantly Credits/mo + everything in Growth.
• Hyper Credits: $197/mo, includes 10,000–200,000 Instantly Credits/mo + everything in Growth.

CRM Plans: 

• Growth CRM: $47/mo, includes unlimited seats, Master Inbox, lead/opportunity tracking, tasks, campaigns, reporting, and integrations.
• Hyper CRM: $97/mo, includes everything in Growth CRM + Instantly AI features, calling & SMS, Salesflows, website visitor tracking inside the CRM, advanced/team reporting, and upcoming AI enhancements (Priority AI, Follow-up AI, Stripe integration).

Pros & Cons

✅ Extremely easy to set up and intuitive to use, even for beginners.

✅ Integrates well with key tools like Clay, Make, HubSpot, Slack, CRMs, and Google Workspace.

❌ Limited built-in enrichment compared to dedicated data platforms.

#6: Lemlist

Best for: Teams that want multichannel outbound (email + LinkedIn + calls), personalization-heavy outreach, and a polished UI with strong deliverability controls.

Similar to: Reply.io, Outreach, Salesloft, Instantly, Smartlead.

Lemlist is a multichannel outbound platform that helps teams send personalized cold emails, automate outreach, and engage prospects across email, LinkedIn, and calls. 

It’s known for its deliverability tools, visual sequence builder, and hyper-personalization features like custom images and dynamic videos.

Features 

• LinkedIn automation: Engage, qualify, and convert leads on LinkedIn at scale with automated profile visits, connection requests, voice or text messages, AI-generated icebreakers, and smart safety limits.
• AI-powered prospecting & personalization: Turns raw data into hyper-relevant sequences, voice notes, and human-quality outreach at scale in seconds.
• 600M+ B2B lead database: A massive verified contacts database, complete with filters, enrichment, and instant push-to-campaign workflows that let you go from targeting to multichannel outreach in one click.

Pricing

Lemlist has three paid tiers:

1. Email Pro: Starting from $69/user/month, includes unlimited email follow-ups, AI-powered personalization, 3 sending emails/user, warm-up tools, inbox rotation, in-app domain purchase, access to 600M+ contacts, intent signals, 1,000 enrichment credits/month, lead scoring, etc.
2. Multichannel Expert: Starting from $99/user/month, includes unlimited sequences with LinkedIn visits, invites, messages, WhatsApp outreach (add-on), in-app calling, centralized multichannel inbox, 5 sending emails/user, warm-up, inbox rotation, in-app domain purchase, 1,500 enrichment credits/month, intent signals, etc.
3. Enterprise: Custom pricing (5 seats minimum, includes everything in Multichannel Expert, plus 2,500 enrichment credits/month, and advanced security and support.

The first two plans come with a 14-day free trial.

Pros & Cons

✅ Powerful multichannel workflows - lets teams combine email, LinkedIn, calls, WhatsApp, and manual tasks in one clean sequence.

✅ Integrated B2B database & enrichment speed up list building.

❌ WhatsApp & advanced capabilities require higher-tier plans or add-ons.

#7: Klenty

Best for: Sales teams that need scalable multichannel outreach with strong task automation and CRM-native workflows.

Similar to: Outreach, Salesloft.

Klenty is a sales engagement platform that helps reps automate emails, calls, LinkedIn steps, and tasks in a single workflow, while staying tightly synced with CRMs like HubSpot, Salesforce, and Pipedrive. 

It's built to help SDR teams scale outreach, stay consistent, and execute daily sales motions without manual juggling across tools.

Features

• AI list builder: Lets you generate perfectly targeted ICP account lists from simple natural-language prompts, automatically enriching, scoring, and validating data through a 16-provider waterfall model.
• AI account research: Automatically analyzes 150+ data sources plus your CRM history to generate tailored value propositions, identify the right personas, and craft highly personalized outreach for every target account.
• Parallel Dialer: Calls up to five prospects at once, skipping voicemails and boosting connect rates.

Pricing

Klenty offers two sets of plans for sales engagement and dialer, all available with quarterly or annual billing only.

Sales Engagement:

• Starter: $60/month, includes 15,000 contacts, 75,000 monthly emails, unlimited users, deliverability controls, email personalization, sequence automation, API access, Zapier integration, CSV uploads, A/B testing, and 24/5 support.
• Growth: $85/user/month, includes everything in Starter and adds CRM automations, sales stage workflows, triggers, intent scoring, multichannel outreach (calls, SMS), call recordings, sequence frameworks, and advanced reporting.
• Plus: $119/user/month, includes everything in Growth plus 4,000 monthly AI credits, AI list-building, AI data enrichment, AI research, AI sequence creation, 1,000 calling minutes (US & Canada), coaching dashboards, team leaderboards, and milestone tracking.

Sales Dialer:

• Basic: $45/user/month, includes one-click dialer, call recordings, voicemail drop, CSV uploads, CRM syncing, call reports, and basic inbound routing.
• Advanced: $119/user/month, includes everything in Basic plus 2,000 calling minutes (US & Canada), Parallel Dialer, Power Dialer, AI voicemail detection, advanced routing, task imports, and coaching tools.
• AI- Based Coaching: $40/user/month, adds AI call intelligence, such as automatic outcome detection, topic detection, call field capture, next-step extraction, live transcription, and coaching filters.

Pros & Cons

✅ Solid deliverability and personalization tools.

✅ Very intuitive and easy to use, even for teams new to sales automation.

❌ LinkedIn automation is still limited.

#8: Snov.io

Best for: Startups, small sales teams, consultants, and agencies that need a budget-friendly all-in-one email outreach + lead gen tool.

Similar to: Instantly, Apollo (email automation only), Reply.io, Smartlead, Saleshandy.

Snov.io is a cold outreach and lead-generation platform that helps sales teams find verified emails, build targeted lists, and automate multi-step email sequences from one streamlined workspace. 

It’s built for teams that want affordable, fast, and reliable prospecting with strong deliverability and simple workflows.

Features

• Actionable outreach analytics: Track deliverability trends, sender reputation, team performance, engagement patterns, and campaign-level KPIs from one dashboard.
• Multichannel outreach: Lets you run personalized email and LinkedIn sequences that adapt to each lead with condition-based follow-ups, real-time notifications, smart personalization, A/B testing, and AI sentiment analysis.
• Real-time email tracking inside Gmail: Email Tracker gives you instant desktop notifications the moment an email is opened or a link is clicked, complete with a full activity history so you always know who’s engaging and when to follow up.

Pricing

Snov.io has three essential pricing plans to choose from:

1. Starter: $39/mo, includes 1,000 credits, 5,000 recipients, 3 mailbox warm-ups, unlimited emails, multichannel campaigns, LinkedIn automation, Unibox, Calendly booking detection, drill-down analytics, AI email builder, bulk prospecting, 7-tier email verification, warm-up tools, deliverability checks, CRM, tasks, etc.
2. Pro: Starting at $99/mo (unlimited team seats) and going up to $738 depending on the number of credits and recipients you want, includes everything in Starter plus more credits and recipients, unlimited warm-ups, reply sentiment analysis, A/B testing, spintax & dynamic content, campaign prioritization controls, team list sharing, unlimited warm-up volume, premium warm-up pools, team permissions, shared do-not-email lists.
3. Custom Ultra: Custom pricing, includes 200,000+ credits, 400,000+ recipients, unlimited warm-ups/emails, unlimited seats/storage, credit rollover, flat-rate pricing, bulk email account management, top-priority support, and unlimited implementation services.

Pros & Cons

✅ Simple, intuitive platform.

✅ LinkedIn extension makes prospecting fast and convenient.

❌ Reporting and analytics are fairly basic and may feel limited for larger or more data-driven teams.

#9: FlashIntel

Best for: Sales teams that need stronger intent data, enriched account insights, and a unified platform for research + outreach + pipeline activation.

Similar to: ZoomInfo, 6sense.

FlashIntel, recently rebranded as FlashLabs, is a modern GTM intelligence and sales engagement platform that combines buyer intent, account research, multi-channel outreach, and pipeline acceleration into one AI-powered workspace. 

It focuses heavily on AI-driven features, aiming to allow sales teams to target, personalize, and convert faster.

Features

• SuperAgent: FlashIntel’s flagship agentic engine that automates the entire revenue workflow, acting as a full digital GTM workforce.
• AI Call Agent: An autonomous voice agent capable of handling calls, qualifying prospects, booking meetings, and responding to queries without human intervention.
• Pipeline Manager: AI that evaluates opportunities, flags risks, surfaces next-best actions, and improves forecast accuracy with automated deal analysis.

Pricing

FlashIntel offers three main plans built around monthly SuperAgent token limits that determine how much AI-driven automation your team can run. 

Higher tiers unlock more sophisticated agentic workflows, advanced dialers, deeper enrichment, and higher-priority model access:

1. Explorer: Free, includes 1,500 SuperAgent Tokens per month per seat (up to 100 tokens per day), SuperAgent command center and AI Meeting summaries and insights.
2. Operator: $249/month per seat, includes 15,000 SuperAgent Tokens per month per seat, everything in Explorer, plus AI SuperAgent with access to top LLMs (GPT-5, Claude Sonnet 4.5, Gemini 2.5 Pro, Grok, DeepSeek, and more), AI meeting transcription, summaries, and action insights, AI sequence for omnichannel outreach, AI data enrichment with automated verification, etc.
3. Commander: $499/month per seat, includes 40,000 SuperAgent Tokens per month per seat, everything in Operator, plus AI Team Dialer with coordinated multi-rep workflows and real-time analytics, detailed contact data with verified business records at scale, advanced team collaboration features and performance insights.

Pros & Cons

✅ Robust AI automation.

✅ Efficient for account-based selling.

❌ Overly complex UI.

#10: Outboundly 

Best for: Small teams, founders, and agencies that want an affordable platform for automated cold outreach without the complexity of enterprise tools.

Similar to: Outreach, Smartlead.

Outboundly is an AI-powered cold-outreach platform that automates B2B prospecting, data enrichment, and email campaign workflows, combining a large B2B contact database with AI-driven personalization and outreach automation.

It’s designed to let individuals, small teams, or agencies scale cold email outreach with minimal friction.

Features

• Smart sender rotation: Automatically rotates multiple sender addresses to boost deliverability, reduce spam risk, and expand your campaign’s reach by engaging prospects through diverse, high-trust sender profiles.
• Automated email sequences: Lets you create elaborate email sequences with smart scheduling, dynamic personalization, and real-time performance tracking.
• AI email copy generator: Creates ready-to-send, brand-aligned email copy, adapting to your brand’s tone in real time.

Pricing

Outboundly has three pricing tiers:

1. Outreach Basic: $29/month, includes 2,000 prospects, 2,500 email verification credits per month, 5,000 monthly emails, 50 scraping credits, 50 AI template generations, unlimited campaigns, unlimited email accounts, unlimited team members, blacklist domain control, contact importing, and access to Email Warmup (Beta). 
2. All-in-One Pro: $79/month, includes 30,000 prospects, 10,000 email verification credits per month, 125,000 monthly emails, 100 scraping credits, 100 AI template generations, all Outreach Basic features, plus native CRM integrations and more robust analytics. 
3. Enterprise: Custom pricing, includes everything in All-in-One Pro, plus white-labeling, dedicated servers, unlimited contacts, and unlimited campaigns. 

Pros & Cons

✅ Highly affordable.

✅ Easy onboarding and intuitive UI.

❌ Prone to glitches, especially around email verification accuracy, prospect management, and email provider connection.

Final thoughts: Choosing the right AI outreach tool in 2026

The AI outreach landscape has never been more crowded, but also never more powerful. 

Tools like Instantly, Smartlead, FlashIntel, Outboundly, and others all bring something valuable to the table, whether it’s advanced deliverability, AI-powered sequencing, deep research, or multichannel engagement. 

But as you’ve seen throughout this guide, the real differentiator in 2026 isn’t just automation. 

It’s intelligence.

The teams winning today are the ones building signal-driven, personalized, adaptive outbound motions that meet buyers where they are, not where your sequence hopes they’ll be. 

And that’s exactly where Warmly stands out. 

Instead of simply sending more emails, Warmly helps you identify who’s actually in-market, personalize at scale, and time your outreach perfectly using real buyer signals across your entire GTM funnel.

If your goal is to move beyond volume-based outbound and build a high-intent, high-conversion, revenue-focused motion, Warmly is the AI sales platform designed for that future.

Ready to see it in action?

Book a demo and find out how Warmly can help you build outbound that actually converts.

Read more

• 10 Best Saleshandy Alternatives & Competitors [Nov 2025] - Find out which Saleshandy alternatives actually boost replies, protect deliverability, and give your outbound team more firepower for the same (or less) money.
• How To Build A Lead List In Clay For Cold Outreach In 2025 - Learn step-by-step how to turn Clay into your unfair advantage for building smart, hyper-targeted lead lists that your SDRs actually want to work.
• 10 Best MadKudu Alternatives & Competitors [Nov 2025] - Explore the top MadKudu competitors that offer smarter scoring, clearer pricing, and more flexible GTM workflows for modern revenue teams.
• Lead Prospecting: What Is It & How To Do It? [2025] - A practical, no-fluff guide to modern lead prospecting that shows you exactly how to find, qualify, and prioritize buyers who are actually ready to talk.
• 10 Best Success AI Alternatives & Competitors [Nov 2025] - Compare the leading Success AI alternatives to see which tools really help you scale personalized outreach without drowning in manual work or AI spam.
• AI Lead Scoring: What Is It & How To Do It Right [November 2025] - Understand how AI lead scoring really works in 2025, and how to build a scoring model that your sales team trusts and actually uses.

Saleshandy is a sales engagement platform that helps send outbound campaigns through unlimited email sending accounts and unlimited email warm-up.

The tool includes email personalization, sender rotation, unified inbox, lead finder, automated cold email sequences, webhooks, & sequence score, all on one platform.

However, some SDRs have been unhappy with the tool for a few reasons, which is why some customers have been looking for alternatives on the market.

In this buyer guide, I’ll go over the 10 best alternatives to Saleshandy in 2025 that can help you build and refine your best lead list and then scale personalized outreach.

When I was evaluating the different vendors, I wasn’t focusing only on feature strength. I also wanted to see the overall customer satisfaction, pros and cons, the use cases of the tools, and their pricing models.

TL;DR

• Warmly offers the best alternative to Saleshandy with its verified multisource enrichment, automated audience building and continuous sync across CRMs and ad platforms, and AI SDR orchestration for intent-driven multichannel activation.
• Data-centric tools like Seamless AI and UpLead are ideal for fast, verified contact discovery and enrichment when you primarily need reliable emails, phones, and firmographic and technographic signals.
• On the other hand, multichannel engagement platforms like Reply and Outplay can help you automate personalized outreach across email, LinkedIn, calls, and SMS to improve personalization and scale while avoiding some of Saleshandy's deliverability and sequencing constraints.

Why have some sales teams been looking to make the switch from Saleshandy?

The common reasons why some sales teams have been looking to switch from Saleshandy are its lack of native deep multi-source enrichment, deliverability and scalability issues, and basic personalization capabilities.

But don’t get us wrong here, I’m not trying to claim that Saleshandy is a bad tool that you should run from.

Truth be told, many customers are satisfied with its affordable pricing model and cold email outreach features.

However, there are a few cons that I found when I tested and researched the sales intelligence solution: ⤵️

#1: Lack of native multi-source enrichment

Saleshandy’s main drawback is that, for advanced workflows, like multi-source data enrichment, they often require external tools because these features aren’t built natively into the platform. 

➡️ This leads to extra steps, more manual setup, and more legwork for outbound teams.

‘’The main limitation is that some of the more advanced workflows require creative workarounds. For example, deeper personalisation or multi-source enrichment often relies on external tools rather than being native inside Saleshandy.’’ – G2 Review.

#2: Deliverability and scalability issues

Next up, users mention that Saleshandy struggles with high-scale B2B outreach because its deliverability controls can cause Outlook inboxes to get flagged or temporarily shut down. 

‘’The common drawbacks with Saleshandy are B2B outreach at scale and its deliverability limitations. The platform kept flagging and shutting down our internal Outlook inboxes. This keeps hampering my outreach on time.’’ – G2 Review.

#3: Basic personalization capabilities

When I tested Saleshandy, I saw that there are no advanced AI-driven or dynamic personalization capabilities.

While the platform supports merge tags, it lacks more advanced personalization or very deep conditional content.

This is why I think that, for very granular use cases (e.g., signal-based outreach or any other outreach that adapts deeply based on prior behavior), Saleshandy can feel restrictive.

What are the best Saleshandy alternatives on the market in 2025?

The best alternatives to Saleshandy are Warmly, Seamless AI and Reply.io.

Here’s a use case and pricing breakdown of the best AI prospecting tools that I’ve shortlisted:

#1: Warmly

Warmly is the best Saleshandy alternative in 2025 with our AI Marketing Ops Agent that automatically builds, scores, and continuously syncs high-value, intent-driven audiences across your CRMs, ad platforms, and outbound tools.

The tool removes manual list-building and fragile spreadsheet workflows by continuously discovering, enriching, scoring, and syncing the exact audiences you should be targeting right now.

Disclosure: Even though Warmly is our AI sales software, I’ll provide an unbiased perspective on why Warmly is the best alternative to Saleshandy in 2025.

Let’s look at some of the capabilities that make Warmly the go-to option for sales teams looking to switch from Saleshandy:

Automate list building and prospect enrichment with our Marketing Ops Agent

Warmly’s AI Marketing Ops Agent lets you automatically build, enrich, score, and sync dynamic target audiences across CRM, ad platforms, and outbound tools.

Instead of manually exporting lists, cleaning data, or waiting for new leads like you have to do with tools like Saleshandy, your team will get an always-fresh, AI-curated list of best-fit accounts and contacts synced across every system.

This is a result of us seeing how sales teams spend a lot of time building, cleaning, and syncing target lists across CRMs, ad platforms, and outbound tools.

In fact, data shows that sales reps spend only ~28–33% of their time on actual selling, and administrative and non-selling work consumes most of their time.

The Marketing Ops Agent automates that, acting as your real-time sales intelligence layer between your data sources and your marketing & sales systems.

Here's how it works:

‎

The Marketing Ops Agent connects directly to your CRM, ad platforms, outbound tools, and intent sources to automate key targeting workflows:

• AI-powered lead scoring and enrichment to create dynamic lists ranked by fit and buying intent.
• Buying committee identification using insights from past closed-won deals.

• Instant audience syncing with HubSpot, Marketo, LinkedIn, Meta, Outreach, and more. No more manual CSV uploads.
• Automatic list updates as new intent signals or engagement changes occur.

➡️ This helps our users catch up on in-market prospects doing research, as 96% of prospects research companies before engaging sales, according to research from HubSpot.

• Unified buying intent scores that stay synced across every sales and marketing channel.

Find prospects that look just like your best customers

Most sales intelligence tools on the market, like Saleshandy, give you firmographic filters, such as industry, headcount, location, and job title, and call it a day.

However, our software goes much deeper.

With our AI-powered ICP identification, Warmly analyzes your actual customer data to uncover what really makes a good fit.

And it’s not just surface-level attributes: it’s patterns across the company tech stack, growth signals, org structure, seniority distribution, and even past engagement behavior.

Once Warmly understands who your best users are, it’ll automatically scan its database of 200M+ contacts to find lookalike prospects, that is, the people and companies that closely resemble your top performers.

The result is a list of not just any prospects, but the right prospects, so your team spends less time guessing and more time engaging the people most likely to convert.

Identify your site visitors at the company and person level

Warmly helps you maximize your site’s lead generation potential by identifying both the companies and individuals visiting it.

All you have to do is add a snippet of Warmly’s code to your site, and the sales intelligence software will start revealing your visitors in minutes.

In addition to company and person-level identification, Warmly will also enrich your visitors’:

1. Contact data (e.g., email address, phone number, social media profiles, etc.).
2. Firmographics (e.g., company location, size, funding, etc.).
3. Demographics (e.g., individual names, job positions, etc.).
4. Technographics (e.g., tools a prospect uses).

But our visitor identification solution doesn’t stop there.

Warmly also tracks real-time 1st, 2nd, and 3rd-party intent signals to surface the visitors that matter most, so you can instantly prioritize outreach based on actual buying behavior.

That includes:

1. 1st-party signals, such as pricing page views, repeated visits, product usage, or form fills.
2. 2nd-party signals like relevant LinkedIn activity (e.g., industry-relevant discussions, posts, comments, likes, etc.).
3. 3rd-party signals like competitor research or intent keywords being searched.

💡 Data shows that sales intelligence (enriched contact and intent data) can help shorten prospect-research cycles from 3–5 hours to 10–15 minutes, according to a recent industry research, as AI enrichment condenses discovery.

Warmly optimizes its data through a waterfall approach.

Our tool uses multiple data providers (20+), including 2 other leading website de-anonymization providers, to validate the accuracy, quality & overall match rate of our signal & contact data.

We’ve seen that this leads to:

• Higher data quantity: Multiple sources expand match rates.
• Higher data quality: Proprietary cleansing and confidence scoring validate accuracy.

💡 To maintain data quality and quantity, we continuously monitor vendor performance and validate our proprietary matching algorithms. 

➡️ These systems allow us to track quality and quantity metrics in real-time to make sure that both contact-level and company-level data meet the high standards our customers expect.

Warmly’s transparent data commitment means you can test our data quality with our free tier before committing to us as a data provider.

Since our platform aggregates data from 25+ providers and cross-checks it using our proprietary waterfall technique, the software can validate and verify data on your behalf, ensuring it’s of the highest quality.

Turn static prospect lists into automated outreach with AI SDRs

Once you have built the list of leads, Warmly doesn’t just let it sit there. It gets to work for you.

With AI Orchestrator and built-in AI SDR agents, our platform turns every ICP-fit prospect into a warm opportunity by triggering automated, personalized outbound across email and LinkedIn, based on real-time behavior and intent signals.

Here’s how it works:

1. Prospects who match your ICP and show strong signals (like visiting the pricing page or researching competitors) are instantly added to outbound sequences.
2. Messages are tailored automatically using contact data, context, and intent.

3. Warmly checks to avoid duplicate outreach and ensures contacts aren’t already being worked.

4. It’s also possible to set rules for account multithreading, so your AI SDR reaches all the key decision-makers, not just one person.

And this isn’t just task automation. It’s real prospecting, at scale, without increasing SDR headcount.

Build targeted lead lists from a 200M+ contact database (Coldly)

Similar to Saleshandy, Warmly comes with a built-in prospecting platform, Coldly, which gives your team access to a constantly refreshed database of over 200 million contacts and accounts, so you can build high-quality prospect lists in seconds.

Our prospect database combines powerful filters with real-time enrichment to help you find exactly who you’re looking for across every channel.

Your team will be able to filter by:

• Job title, function, or department.
• Seniority level and decision-making role.
• Company size, revenue, industry, or location.
• Tech stack and hiring signals.
• And dozens more customizable filters.

➡️ Each lead comes pre-enriched with verified email addresses, phone numbers, and LinkedIn profiles, so your lists are not only accurate but immediately actionable.

Bonus: There’s also a Chrome extension that lets your reps pull contact data directly from LinkedIn or any website, making manual prospecting a whole lot faster.

Warmly’s Integrations

Warmly integrates with a wide range of CRMs and sales platforms, including:

• HubSpot CRM.
• OpenAI.
• Slack.
• Apollo.
• Outreach.
• Demandbase.
• RB2B.
• Clearbit.
• People Data Labs.
• And more.

💡 For example, you can combine Warmly’s visitor identification software with HubSpot to alert your sales team the moment a known prospect arrives on the site. 

With the HubSpot browser cookie, you can prioritize conversations with the leads who have shown the most engagement with your HubSpot campaigns.

In addition to deep integrations with several lead intelligence platforms, Warmly provides a Warm Bundle: partner discounts for over 25 sales, marketing, and GTM tools.

This way, your team can access many relevant tools and combine them with Warmly at a fraction of their usual price.

Pricing

Warmly’s pricing is modular and component-based and comes with a free plan that lets you identify up to 500 website visitors per month. 

You can choose the components that best match the needs of your business, as components are priced by output and not just by a monthly fee.

There are 4 paid product plans that you can choose from:

• Signals Agent: Custom pricing, which gives you access to 10,000 monthly credits, Person-Level Intent Signals (1st, 2nd, & 3rd Party), website de-anonymization capabilities, Warm lead alerts, and access to a contact database.
• Inbound Agent - Engage: Starts at $20,000/year, and adds AI Chat, native outbound email and LinkedIn automation, intent-powered pop-ups, lead routing with custom CRM fields, and the ability to push leads to sales sequencers.
• Inbound Agent - Scale: Starts at $30,000/year, and adds unlimited AI Chat agents, and the ability to push leads to Ad Audiences.
• Marketing Ops Agent: Custom pricing, which adds AI-powered account scoring, AI enrichments and custom signals, buying committee identification, real-time buying intent signal tracking, and automatic updates across all enrichments, signals, account and lead lists.

Monthly credits on Warmly are used to track and engage with potential leads. 

For example, each interaction or engagement with a lead will use up one credit, such as when you engage with a lead through email or LinkedIn.

➡️ Warmly’s pricing is ideal for larger SMB and MM companies with a growing or mature GTM motion with SDR, sales, and marketing functions.

How is Warmly different from Saleshandy?

Saleshandy is known for cold email outreach, deliverability tools, and verified email discovery. 

The tool helps teams create multistep outreach sequences, verify contacts before sending, and optimize sending patterns to improve inbox placement and reply rates.

Warmly, on the other hand, goes far beyond traditional email finders and sequence builders by combining visitor identification, intent scoring, automated audience building, and AI-driven activation into one signal-powered revenue orchestration engine.

Our Marketing Ops Agent lets you automatically build, enrich, score and sync dynamic target audiences across your CRM, ad platforms, and outbound tools. Lists are then continuously refreshed as intent signals and engagement change.

Here is a breakdown of the two solutions' functionality:

Pros & Cons

✅ Identifies companies and individuals visiting your website.

✅ Enriches each identified lead with detailed B2B intelligence and reveals intent data.

✅ Identify buying committees.

✅ Live sales engagement capabilities.

✅ You can build a real-time, auto-updating list of your best prospects.

✅ Generous free plan to get started with 500 website visitors to de-anonymize.

❌ Pricing is modular.

#2: Seamless AI

Best for: Real-time B2B lead generation with AI-powered contact search and lead enrichment.

Similar to: Koala.

Seamless AI is a sales prospecting platform that uses AI to provide real-time access to verified B2B contact information.

The platform ensures that users have the most current data by continuously uploading its database, helping you connect with decision-makers more effectively.

Features

• Real-time search engine: You can reach the most recent and relevant contact information, enhancing the efficiency of their outreach efforts.
• AI Assistant for sales content creation that helps you craft personalized sales scripts, emails, and social media messages quickly by analyzing customer data and preferences.
• Total AI confidence scoring: The tool assigns a confidence score to each contact's data, indicating the reliability of information like email addresses, helping you improve outreach success rates.

Pricing

Seamless AI has a free forever plan that provides you with 50 credits for finding prospect data.

For more credits and extra features, subscribe to one of two plans:

• Pro: Includes everything in Free, daily credit refresh, access to AI features, etc.
• Enterprise: Includes everything in Pro, plus API and extra support.

However, Seamless AI doesn’t disclose prices for its packages, so you’ll have to contact its team.

Note: Some of its best features, including all the AI-powered ones, are listed as add-ons. You may need to pay extra for them, regardless of your subscription to any of the platform’s paid plans.

Pros & Cons

✅ Provides real-time, verified contact information.

✅ User-friendly interface with a helpful Chrome extension.

✅ Integrations with platforms like LinkedIn and CRMs.

❌ Limited international data coverage compared to competitors.

❌ Customer support can be inconsistent when compared to Seamless AI alternatives.

#3: Reply

Best for: Automating multichannel sales outreach with the help of AI.

Similar to: UpLead.

Reply offers a sales engagement solution that can help you automate and personalize outreach across various channels, including email, calls, LinkedIn, SMS, and WhatsApp. 

What stands out is its Jason AI assistant that levels up your sales game by generating personalized messages, handling responses, and scheduling meetings to increase efficiency and engagement rates. ​

Features

• You’ll be able to automate outreach across email, calls, LinkedIn, SMS, and WhatsApp to engage prospects on their preferred platforms. ​
• The AI outbound tool can generate personalized messages and responses, enhancing engagement and conversion rates. ​
• Gain access to a database of over 140 million verified contacts that fuels prospecting efforts. ​

Pricing

Reply offers three pricing packages when it comes to its AI SDRs:

• AI SDR Starter: Starts from $500/mo for 500 active contacts and can go up to $1500 for 3000 active contacts, includes AI personalization, multichannel automation, etc.
• AI SDR Growth: Starts from $2500/mo for 5000 contacts and goes up to $5000 for 10000 contacts, includes everything in Starter, plus custom playbooks and a dedicated Slack channel.
• AI SDR Enterprise: Starts from $15000 for 25000 contacts and can go up to $25000 for 50000 contacts, includes everything in Growth, plus custom prompt engineering.

Pros & Cons

✅ Streamlines the sales process by automating tasks across multiple communication channels.​

✅ Improves personalization by leveraging AI, ensuring communications are tailored to individual prospects, boosting engagement.​

✅ User-friendly interface that is easy to navigate.

❌ Comes with an initial learning curve.

❌ The tool offers poor customer support, according to users, with limited assistance for troubleshooting problems.

#4: UpLead

Best for: Lower-budget sales teams looking for verified B2B emails, mobile numbers, and intent data.

Similar to: Lusha.

UpLead offers a cost-effective B2B lead generation platform trusted by more than 4,000 businesses, including Google, Salesforce, Microsoft, Amazon, and more.

What makes it a viable alternative to Saleshandy is its large contact database that comes with good accuracy and intent data.

Features

• Get access to more than 160 million business contacts worldwide in over 200 countries.
• Enrich your existing contact list with 50+ data fields, including verified emails, contact numbers, social links, and more data.
• Prospect 16,000+ technology data points to find companies using competitive or complementary technologies and turn them into sales.
• Use UpLead's Intent Data feature to find consumption patterns, identify hot leads, and optimize reachouts.

Pricing

UpLead offers a 7-day free trial plan. Other than that, it has three premium plans:

• Essentials: $99 per month for verified emails, mobile phones, and CRM integration.
• Plus: $199 per month, which adds data enrichment, email pattern intel, technographics, advanced filters, and suppression list uploads.
• Professional: Custom pricing, which adds buyer intent data, all search filters, full API access, and advanced CRM integrations.

Pros and Cons

✅ Real-time email finder and verification tool. 

✅ Integrates with Salesforce, HubSpot, Zoho, Pipedrive, and many more.

✅ The tool provides over 50 advanced search filters.

❌ New users may still experience a learning curve when navigating all features.

❌ Compared to some competitors, UpLead has a smaller database of contacts.

#5: Apollo

Best for: Using AI to automate and personalize outbound sales at scale.

Similar to: Humantic AI.

Apollo offers an AI-powered sales solution that combines a vast B2B database with advanced outreach automation tools. 

The platform helps you identify ideal prospects, personalize outreach, and manage your sales pipeline all from one platform.

Features

• Apollo's AI surfaces the right personas, companies, and buying signals instantly, allowing teams to focus on strategy rather than manual research.
• The platform's AI assists in crafting personalized emails, incorporating company news and insights to match your brand voice, enhancing engagement rates.
• Lead scoring and prioritization: Apollo helps you prioritize high-value leads, enabling teams to focus on prospects most likely to convert.

Pricing

Apollo’s pricing offers a free forever plan that includes 100 email and mobile phone finder credits, basic filters and prospecting, and two sequences.

If you need more, you can upgrade to one of three paid plans:

• Basic: $59 per user per month.
• Professional: $99 per user per month.
• Organization: $149 per user per month.

Pros & Cons

✅ Comprehensive B2B database with over 210 million contacts.

✅ Seamless integration with existing sales tools.

✅ Detailed analytics for optimizing campaigns.

❌ Occasional interface lags, particularly when managing large-scale data, which is why some people are looking for Apollo alternatives.

❌ Apollo can be complex, potentially requiring a significant learning curve.

#6: Outreach

Best for: Enterprise-grade sales engagement and execution powered by AI across the entire revenue cycle.

Similar to: Humantic AI.

Outreach offers a leading sales execution platform that integrates AI to enhance every stage of the sales process. 

From automating prospecting tasks to providing real-time deal insights and forecasting, Outreach can help you engage prospects more effectively and close deals faster.

Features

• An AI prospecting agent that identifies potential leads, qualifies them based on predefined criteria, and reaches out to best-fit prospects through personalized messages.
• Smart email assistant that leverages AI to draft initial sales engagement emails, email replies, or meeting follow-ups based on the provided context.
• Outreach predicts whether a deal will close and recommends actions to keep it on track using unique engagement signals across emails, calls, and meetings.

Pricing

Outreach has five different product packages:

• Engage: Includes email assistant, automations, CRM sync, templates, etc.
• Call: Includes sales dialer, live sales monitoring, AI-powered call summary, etc.
• Meet: Includes real-time call recording and transcription, AI-powered meeting assistant, automated summary and action items, etc.
• Deal: Includes AI-powered deal assistant, deal health score, deal overview with activity history, etc.
• Forecast: Includes AI projection, scenario planning, detailed dashboards, etc.

However, the platform doesn’t publish prices for any of its packages, so you’ll have to contact its sales team.

Moreover, each package has distinct pricing, meaning the costs can easily add up if you want to use several of Outreach’s products.

Pros & Cons

✅ Best-in-class automation capabilities for emails, follow-ups, and meeting scheduling.

✅ Deep insights into deal health and buyer sentiment.

✅ Helps you streamlines workflows and automate tasks.

❌ Opaque pricing that allegedly becomes really expensive.

❌ Outreach can be complex to learn and use, particularly for those unfamiliar with sales engagement solutions.

#7: Outplay

Best for: Multichannel outreach with AI personalization across email, LinkedIn, calls, and SMS.

Similar to: Warmly.

Outplay offers an advanced sales engagement solution that equips your sales team with AI-powered sales automation tools to automate prospecting and outreach.

With support for multichannel outreach, smart workflows, and real-time performance insights, the tool can help you engage more leads while staying focused on pipeline outcomes.

Features

• AI-powered personalized email content writing that lets you craft tailored emails.
• Multichannel outreach across email, phone, LinkedIn, and SMS that helps your team handle all your outreach strategies from one place.
• Smart lead scoring and prioritization that leverages advanced algorithms to recognize high-intent leads.

Pricing

Outplay has four pricing tiers for individuals and teams:

• Starter: Starting at $49/seat/month for 5000 active prospects, and can go up to $159/seat/month for 50,000 prospects.
• Growth: $99/seat/month, which adds unlimited prospects and access to more features
• Growth Plus: $159/seat/month, which adds more advanced security and team management features.
• Sales Agency: $224/seat/month, which adds agency-designated functionality.

Pros & Cons

✅ Powerful multichannel sequencing with good AI support, covering one of Saleshandy’s weaknesses.

✅ Easy to use, according to G2 reviews on the market.

✅ Smart lead scoring and prioritization.

❌ Reporting dashboards are less advanced compared to some other tools on the list.

❌ Fewer integrations than alternatives on the market.

#8: Humantic AI

Best for: Personalizing outreach through getting a deep understanding of buyer personalities.​

Similar to: Alta.

Humantic AI is a buyer intelligence platform that uses AI to provide deep insights into potential customers' personalities. 

The platform helps SDRs tailor their communication strategies to individual buyer preferences by analyzing publicly available data.​

Features

• Personality insights: The platform uses AI to predict prospect personalities based on DISC and Big Five models.​
• Connects with tools like Salesforce, Outreach, and LinkedIn for streamlined workflows.​
• Offers quick personalization of emails and messages tailored to the recipient's personality.​

Pricing

Humantic AI has two different sets of pricing plans for individuals and organizations.

If you’re a solo user, you can pick from three plans:

• Pro: $40/month, includes 500 prospect profiles/month, Chrome Extension, personality overview, qualifying and prospecting tips, etc. (this plan is annual only).
• Expert: $50/month, includes unlimited prospects, everything in Pro, plus 1-click personalization, sales dashboard, etc.
• Owner: $75/month, everything in Expert, plus 200 profile enrichments/month, account-level information, etc.

When it comes to plans for organizations, there are also three plans:

• Startup: $275/month, includes 5-20 users, DISC & Big Five profiles, 1-click personalization, etc.
• Growth: $1050/month, minimum 10 users, everything in Startup, plus personalized cadences and advanced CRM enrichments.
• Enterprise: Custom price, minimum 20 users, everything in Growth, plus API access, enhanced lead scoring, etc.

Pros & Cons

✅ Personalize your outreach strategies based on personality analysis, which I think is far better than Saleshandy’s merge tags.​

✅ AI writing assistance helps rephrase emails or LinkedIn messages in a way that resonates with leads based on their personality tendencies.

✅ Integrates with LinkedIn, allowing users to analyze the profiles of potential connections.

❌ The accuracy of personality predictions depends on the availability and quality of public data.

❌ Some customers find the user interface to be clunky or not as intuitive as it could be.

#9: Bluebirds

Best for: Outbound sales teams looking to scale prospecting efforts.

Similar to: UnifyGTM, Clay.

Bluebirds offers an AI-powered sales automation tool that helps sales teams scale their email outbound efforts.

The tool is capable of researching, prioritizing, and engaging the best prospects, allowing your SDRs to focus on meaningful conversations with prospects and not manual outreach.

Features

• The AI outbound sales software can rank the prospects using custom buying signals based on certain pre-determined events. 
• You’ll be able to prioritize accounts that are more likely to convert by combining signals from trusted public data sources (i.e., 2nd party signals, such as G2 or Capterra), your CRM, and third-party intent.
• Automated buyer circle enrichment with contact data from 15+ data vendors that the platform has partnered with.

Pricing

Bluebirds does not publicly disclose its pricing, so you’d have to contact their sales team to get a product demo and pricing information.

Despite this, the platform does offer a free plan so you can get to know it, with “unlimited” leads and basic intent signals. You’d also get access to its AI-powered ICP functionality.

Pros & Cons

✅ Automate the research and prioritization of leads.

✅ Improve targeting accuracy with the platform’s multi-source data enrichment.

✅ Set up custom buying signals based on ‘’compelling’’ events that are pre-determined. 

❌ Pricing is not disclosed, similar to other platforms on the market.

❌ The software is relatively new, so it has not been as battle-tested as other competitors on the market.

#10: Alta

Best for: Automating sales calls and prospecting to enhance pipeline generation and sales efficiency.

Similar to: Outreach.

Alta is an AI-powered revenue workforce platform that automates sales calls, prospecting, and revenue operations through specialized agents.

Its AI agents, Katie (SDR), Alex (Calling), and Luna (RevOps), work 24/7 to streamline sales processes, allowing teams to focus on closing deals.

Features

• AI calling agent (Alex): Fully customizable agent that automates outbound and inbound sales calls, scoring leads, booking meetings, and updating CRM systems in real-time. 
• AI SDR agent (Katie): Identifies buying signals, researches prospects, and executes personalized multichannel outreach across email, LinkedIn, and calls, preparing prospects for further nurturing.
• Real-time analytics: Offers comprehensive dashboards to monitor performance metrics, analyze patterns, and optimize strategies.

Pricing

Alta doesn’t have fixed fees. Instead, its pricing is tailored to each user based on their needs.

Pros & Cons

✅ High-quality AI-generated voices mimic human voices almost perfectly.

✅ Its AI agents work around the clock, increasing productivity and ensuring no opportunity is missed.

✅ User-friendly interface.

❌ Some customers mention it can be difficult to fully customize Alta’s agents.

❌ Customizable integrations.

Activate and engage in-market accounts automatically with Warmly’s AI Marketing Ops Agent

That’s it from this buyer guide of the 10 best Saleshandy alternatives for GTM teams looking to build lead lists, score them, and engage them.

Warmly goes beyond basic enrichment and automation: the software acts as a signal orchestration hub that unifies intent signals, CRM data, and automated workflows under one logic layer.

Our software warms up your Total Addressable Market (TAM) & segments your prospects into cold, warm & hot using an Intent Signal Data Agent.

The Marketing Ops Agent then ranks and enriches contacts, identifying buying committees based on past closed won deals.

Finally, Warmly uses Outbound & Inbound Agents to engage your hottest prospects in different channels (e.g., on chat, email, or on LinkedIn) so you can book meetings while you sleep.

If your company is serious about capturing demand the moment it surfaces, Warmly is one of the most intent-driven platforms available today.

Here’s what else you’ll get by signing up for Warmly:

• The ability to identify potential buyers by tracking their interactions with your website and getting insights into their interest level.
• A wide range of accurate prospect contact details, directly from the Coldly database, helping you reach the right people.
• Simplify your meeting process with automatic meeting scheduling that removes the back-and-forth, ensuring a frictionless booking experience.
• Automatically send leads to the right salesperson and notify them via Slack if a high-intent lead is active on your website.
• A Bombora integration that helps you proactively reach out to your warm leads and track who’s researching terms relevant to your product and brand, and get in front of them before your competitors do.
• Automate the search for high-potential prospects using AI technology, ensuring your sales team focuses on the right opportunities.

Book a live demo to see it in action.

Read More

• 10 Best Persana AI Alternatives & Competitors: Looking for the best Persana AI alternatives to automate outbound sales and prioritize the right leads?
• 10 Best LeadMagic Alternatives for List Building: The best ones now combine real-time intent, deep enrichment, and automation to help you not only find the right leads, but act on them instantly.
• 10 Best Wiza Alternatives for List Building: Maybe you need more automation. Smarter filtering. Real-time intent. Or just cleaner data with fewer bounces and more context behind every lead.
• How To Do Lead Scoring In Clay In 2025?: I’m going to show you how you can segment your lead list into different categories of prioritization by assigning them a score in Clay.
• How To Build A Lead List In Clay For Cold Outreach In 2025: I’ll walk you through how to build a lead list in Clay, step-by-step, to help you get started with the platform.

Lemlist is a sales engagement platform that helps sales teams reach prospects on email, LinkedIn, calls, and WhatsApp from one place.

The tool promises to help you get prospects’ email addresses and phone numbers, build automated multichannel sequences across email, LinkedIn, calls, and WhatsApp, and then land in their inbox with its built-in deliverability booster.

However, some sales teams have been unhappy with the platform for a few reasons, which is why some users have been looking for alternatives on the market.

In this buyer guide, I’ll go over the 10 best alternatives to Lemlist in 2026 that can help you build and refine your best lead list and then orchestrate outreach.

When I was working on the final shortlist, I wasn’t focusing only on feature strength. I also wanted to see the overall customer satisfaction, the use cases of the tools, and their pricing models.

TL;DR

• Warmly offers the best alternative to Lemlist with its verified multi-source enriched data (solving Lemlist’s outdated database issues), flexible component-based pricing that eliminates credit burn, and automated audience-building workflows that remove manual list building.
• Prospecting tools like Apollo and Cognism are ideal for teams that want large global databases, built-in enrichment, and unified outbound sequencing.
• On the other hand, there are tools like MadKudu and 6sense that can help you score, prioritize, and orchestrate your outreach around high-intent accounts rather than building lists manually.

Why have some sales teams been looking to make the switch from Lemlist?

The common reasons why some teams have been looking to switch from Lemlist are its initial learning curve, issues with outdated data, and how easy it is to use up your credits.

But don’t get me wrong here, I’m not trying to claim that Lemlist is a bad tool that you should run from.

In fact, there are many customers who are more than satisfied with its CRM integrations, one centralized inbox, and Lemwarm functionality.

However, there are a few caveats that I found when I tested and researched the sales intelligence solution: ⤵️

#1: Steep learning curve with complex setup

The #1 complaint about Lemlist has been about how difficult it has been for some users to get to know how to use it to its full potential.

Apart from that, other users mentioned that the tool has a complex initial set-up, which further added to their complexity and confusion.

‘’I find Lemlist complicated and difficult to get the hang of initially. It isn't as simple as I would like, which makes it challenging for me to train my intern to use it effectively. The initial setup was also difficult, which adds to the complexity for new users.’’ – G2 Review.

#2: Issues with outdated data

➡️ Next up, some users are not happy with Lemlist’s contact database and mention that there are many entries for businesses that are no longer active.

The lack of accuracy would also mean spending more credits on the wrong prospects and then having your emails bounce.

‘’One aspect that certainly requires more attention is the contact database. Currently, there are too many entries for businesses that are no longer active. I would recommend removing these inactive contacts and verifying the ones that are still in operation. Otherwise, it can be difficult to confirm all the information on your own.’’ – G2 Review.

#3: Running out of credits is too easy

Last but not least, users of the platform mention how easy it is to run out of credits while using Lemlist.

A verified user of the tool mentions that they used about 1,000 credits just to reach just over 100 people across 2 sequences inside the tool.

‘’Overall, I find that credits tend to run out rather quickly. For example, I used about 1000 credits to reach just over 100 people across two sequences. On the Multichannel expert plan, I would appreciate having a higher allocation of call credits.’’ – G2 Review.

What are the best Lemlist alternatives on the market in 2026?

The best alternatives to Lemlist are Warmly, Apollo, and Cognism.

Here’s a use case and pricing breakdown of the best AI prospecting tools that I’ve shortlisted:

#1: Warmly

Warmly offers the best Lemlist alternative in 2026 with our AI Marketing Ops Agent that automatically builds, scores, and continuously syncs high-value, intent-driven audiences across your CRMs, advertising platforms, and outbound tools.

The software removes manual list-building and fragile spreadsheet workflows by continuously discovering, enriching, scoring, and syncing the exact audiences you should be targeting right now.

Disclosure: Even though Warmly is our AI sales software, I’ll provide an unbiased perspective on why Warmly is the best alternative to Lemlist in 2026.

Let’s look at some of the features that make Warmly the go-to option for GTM teams looking to switch from Lemlist:

Automate list building and prospect enrichment with our Marketing Ops Agent

Warmly’s AI Marketing Ops Agent lets you automatically build, enrich, score, and sync dynamic target audiences across CRM, ad platforms, and outbound tools.

Instead of manually exporting lists, cleaning data, or waiting for new leads like you have to do with tools like Lemlist, your team will get an always-fresh, AI-curated list of best-fit accounts and contacts synced across every system.

This is a result of us seeing how sales teams spend a lot of time building, cleaning, and syncing target lists across CRMs, ad platforms, and outbound tools.

In fact, data shows that sales reps spend only ~28–33% of their time on actual selling, and administrative and non-selling work consumes most of their time.

The Marketing Ops Agent automates that, acting as your real-time sales intelligence layer between your data sources and your marketing & sales systems.

Here's how it works:

‎

The Marketing Ops Agent connects directly to your CRM, ad platforms, outbound tools, and intent sources to automate key targeting workflows:

• AI-powered lead scoring and enrichment to create dynamic lists ranked by fit and buying intent.
• Buying committee identification using insights from past closed-won deals.

• Instant audience syncing with HubSpot, Marketo, LinkedIn, Meta, Outreach, and more. No more manual CSV uploads.
• Automatic list updates as new intent signals or engagement changes occur.

➡️ This helps our users catch up on in-market prospects doing research, as 96% of prospects research companies before engaging sales, according to research from HubSpot.

• Unified buying intent scores that stay synced across every sales and marketing channel.

Find prospects that look just like your best customers

Most sales intelligence tools on the market, like Lemlist, give you firmographic filters, such as industry, headcount, location, and job title, and call it a day.

However, our software goes much deeper.

With our AI-powered ICP identification, Warmly analyzes your actual customer data to uncover what really makes a good fit.

And it’s not just surface-level attributes: it’s patterns across the company tech stack, growth signals, org structure, seniority distribution, and even past engagement behavior.

Once Warmly understands who your best users are, it’ll automatically scan its database of 200M+ contacts to find lookalike prospects, that is, the people and companies that closely resemble your top performers.

The result is a list of not just any prospects, but the right prospects, so your team spends less time guessing and more time engaging the people most likely to convert.

Identify your site visitors at the company and person level

Warmly helps you maximize your site’s lead generation potential by identifying both the companies and individuals visiting it.

All you have to do is add a snippet of Warmly’s code to your site, and the sales intelligence software will start revealing your visitors in minutes.

In addition to company and person-level identification, Warmly will also enrich your visitors’:

1. Contact data (e.g., email address, phone number, social media profiles, etc.).
2. Firmographics (e.g., company location, size, funding, etc.).
3. Demographics (e.g., individual names, job positions, etc.).
4. Technographics (e.g., tools a prospect uses).

But our visitor identification solution doesn’t stop there.

Warmly also tracks real-time 1st, 2nd, and 3rd-party intent signals to surface the visitors that matter most, so you can instantly prioritize outreach based on actual buying behavior.

That includes:

1. 1st-party signals, such as pricing page views, repeated visits, product usage, or form fills.
2. 2nd-party signals like relevant LinkedIn activity (e.g., industry-relevant discussions, posts, comments, likes, etc.).
3. 3rd-party signals like competitor research or intent keywords being searched.

💡 Data shows that sales intelligence (enriched contact and intent data) can help shorten prospect-research cycles from 3–5 hours to 10–15 minutes, according to a recent industry research, as AI enrichment condenses discovery.

Warmly optimizes its data through a waterfall approach.

Our tool uses multiple data providers (20+), including 2 other leading website de-anonymization providers, to validate the accuracy, quality & overall match rate of our signal & contact data.

We’ve seen that this leads to:

• Higher data quantity: Multiple sources expand match rates.
• Higher data quality: Proprietary cleansing and confidence scoring validate accuracy.

💡 To maintain data quality and quantity, we continuously monitor vendor performance and validate our proprietary matching algorithms. 

➡️ These systems allow us to track quality and quantity metrics in real-time to make sure that both contact-level and company-level data meet the high standards our customers expect.

Warmly’s transparent data commitment means you can test our data quality with our free tier before committing to us as a data provider.

Since our platform aggregates data from 25+ providers and cross-checks it using our proprietary waterfall technique, the software can validate and verify data on your behalf, ensuring it’s of the highest quality.

Turn static prospect lists into automated outreach with AI SDRs

Once you have built the list of leads, Warmly doesn’t just let it sit there. It gets to work for you.

With AI Orchestrator and built-in AI SDR agents, our platform turns every ICP-fit prospect into a warm opportunity by triggering automated, personalized outbound across email and LinkedIn, based on real-time behavior and intent signals.

Here’s how it works:

1. Prospects who match your ICP and show strong signals (like visiting the pricing page or researching competitors) are instantly added to outbound sequences.
2. Messages are tailored automatically using contact data, context, and intent.

3. Warmly checks to avoid duplicate outreach and ensures contacts aren’t already being worked.

4. It’s also possible to set rules for account multithreading, so your AI SDR reaches all the key decision-makers, not just one person.

And this isn’t just task automation. It’s real prospecting, at scale, without increasing SDR headcount.

Build targeted lead lists from a 200M+ contact database (Coldly)

Similar to Lemlist, Warmly comes with a built-in prospecting platform, Coldly, which gives your team access to a constantly refreshed database of over 200 million contacts and accounts, so you can build high-quality prospect lists in seconds.

Our prospect database combines powerful filters with real-time enrichment to help you find exactly who you’re looking for across every channel.

Your team will be able to filter by:

• Job title, function, or department.
• Seniority level and decision-making role.
• Company size, revenue, industry, or location.
• Tech stack and hiring signals.
• And dozens more customizable filters.

➡️ Each lead comes pre-enriched with verified email addresses, phone numbers, and LinkedIn profiles, so your lists are not only accurate but immediately actionable.

Bonus: There’s also a Chrome extension that lets your reps pull contact data directly from LinkedIn or any website, making manual prospecting a whole lot faster.

Warmly’s Integrations

Warmly integrates with a wide range of CRMs and sales platforms, including:

• HubSpot CRM.
• OpenAI.
• Slack.
• Apollo.
• Outreach.
• Demandbase.
• RB2B.
• Clearbit.
• People Data Labs.
• And more.

💡 For example, you can combine Warmly’s visitor identification software with HubSpot to alert your sales team the moment a known prospect arrives on the site. 

With the HubSpot browser cookie, you can prioritize conversations with the leads who have shown the most engagement with your HubSpot campaigns.

In addition to deep integrations with several lead intelligence platforms, Warmly provides a Warm Bundle: partner discounts for over 25 sales, marketing, and GTM tools.

This way, your team can access many relevant tools and combine them with Warmly at a fraction of their usual price.

Pricing

Warmly’s pricing is modular and component-based and comes with a free plan that lets you identify up to 500 website visitors per month. 

You can choose the components that best match the needs of your business, as components are priced by output and not just by a monthly fee.

There are 4 paid product plans that you can choose from:

• Signals Agent: Custom pricing, which gives you access to 10,000 monthly credits, Person-Level Intent Signals (1st, 2nd, & 3rd Party), website de-anonymization capabilities, Warm lead alerts, and access to a contact database.
• Inbound Agent - Engage: Starts at $20,000/year, and adds AI Chat, native outbound email and LinkedIn automation, intent-powered pop-ups, lead routing with custom CRM fields, and the ability to push leads to sales sequencers.
• Inbound Agent - Scale: Starts at $30,000/year, and adds unlimited AI Chat agents, and the ability to push leads to Ad Audiences.
• Marketing Ops Agent: Custom pricing, which adds AI-powered account scoring, AI enrichments and custom signals, buying committee identification, real-time buying intent signal tracking, and automatic updates across all enrichments, signals, account and lead lists.

Monthly credits on Warmly are used to track and engage with potential leads. 

For example, each interaction or engagement with a lead will use up one credit, such as when you engage with a lead through email or LinkedIn.

➡️ Warmly’s pricing is ideal for larger SMB and MM companies with a growing or mature GTM motion with SDR, sales, and marketing functions.

How is Warmly different from Lemlist?

Lemlist is known for cold email outreach, personalization, and deliverability. The platform helps teams create multistep email sequences, warm up domains, and personalize messages to improve reply rates.

Warmly, on the other hand, goes far beyond traditional email finders and sequence builders by combining visitor identification, intent scoring, automated audience building, and AI-driven activation into one signal-powered revenue orchestration engine.

Our Marketing Ops Agent automatically builds, enriches, scores and syncs dynamic target audiences across your CRM, ad platforms, and outbound tools. Lists are then continuously refreshed as intent signals and engagement change.

Here is a breakdown of the two solutions' functionality:

Pros & Cons

✅ Identifies companies and individuals visiting your website.

✅ Enriches each identified lead with detailed B2B intelligence and reveals intent data.

✅ Identify buying committees.

✅ Live sales engagement capabilities.

✅ You can build a real-time, auto-updating list of your best prospects.

✅ Generous free plan to get started with 500 website visitors to de-anonymize.

❌ Pricing is modular.

#2: Apollo

Best for: Sales teams looking for a unified prospecting and outbound automation solution.

Similar to: Cognism, UserMotion.

Apollo offers a prospect database with built-in sales engagement (sequences, dialling, and email), making it an alternative to Lemlist for teams that want an all-in-one prospecting and outreach stack.

I consider the platform to be especially useful where list generation and multi-touch cadences should live and be measured in the same tool.

Features

• Get access to lead intelligence, integrated sequences and activity tracking capabilities, so sourcing and outreach live in one solution.
• A large contact database with access to 270 million contacts that you can drill down with 200+ filters and CRM integration.
• Lead scoring and prioritization: Apollo helps prioritize high-value leads, enabling teams to focus on prospects most likely to convert. 

Pricing

Apollo’s pricing structure offers a free plan that includes 100 email and mobile phone finder credits, basic filters and prospecting, and two sequences.

If you need more, you can upgrade to one of three paid plans:

• Basic: $59 per user per month.
• Professional: $99 per user per month.
• Organization: $149 per user per month.

Pros & Cons

✅ A B2B database with over 210 million contacts.

✅ Seamless integration with existing sales tools.

✅ Strong all-in-one workflow (search the database > enrich the leads > outbound sequence) that reduces platform friction.

❌ Occasional UI lags, particularly when managing large-scale data, which is why some customers have been looking for Apollo alternatives.

❌ Apollo can be complex to use if you’re a beginner in sales intelligence platforms.

#3: Cognism

Best for: Global teams doing international outbound looking for best-in-class lead enrichment.

Similar to: Apollo, Snov.io.

Cognism stood out to me with its combination of GDPR-compliant B2B data with strong privacy, compliance controls and intent signals.

It’s a good enough Lemlist alternative for international companies that need global data coverage plus enterprise-grade consent and compliance capabilities.

Features

• A global prospect database with compliance-aware enrichment and intent data designed for international outreach.
• Create custom workflows to enrich existing CRM data or new prospects with updated information.
• Get access to intent data with verified direct dials, so you can prioritize reachable prospects.

Pricing

Cognism’s pricing offers two premium plans, Platinum and Diamond, with custom pricing. Connect with their sales team to get a quote.

Pros & Cons

✅ Above-average international coverage with compliance focus.

✅ Cognism’s browser extension allows prospecting over any website or app.

✅ Users are happy with Cognism's customer support.

❌ Limited range of native integrations, which is why some teams have been looking for Cognism alternatives.

❌ Pricing can be heavy for SMEs.

#4: Kaspr

Best for: SDRs that rely on LinkedIn prospecting and want rapid extension-based contact extraction.

Similar to: Lusha.

Kaspr offers a B2B prospecting solution that helps you get contact info like phone numbers, email addresses, and company data while prospecting on LinkedIn.

The platform is a viable alternative to Lemlist for teams looking to send data of EU prospects from the LinkedIn Chrome Extension straight to their sales tech stack.

Features

• One-click LinkedIn contact capture (emails and phones) via a Chrome extension plus simple workflow integrations.
• You’ll be able to enrich European buyers' data using 120+ million European B2B contacts across 150 sources to get real-time verified information. 
• Send data from the LinkedIn Chrome Extension straight to your sales or marketing tech stack, including HubSpot, Pipedrive, Zoho, and Salesforce.

Pricing

Kaspr offers a free pan. Plus, it offers tier-based subscription plans: 

• Starter plan: $65 per month.
• Business plan: $99 per month.
• Organization plan: $99 per month.

Pros and Cons

✅ Intuitive and easy-to-navigate interface. 

✅ Ability to obtain contact information with a single click. 

✅ Quick LinkedIn lookups and easy exports.

❌ A reported steep learning curve, similar to Lemlist.

❌ Some G2 reviews are reporting data accuracy issues.

#5: MadKudu

Best for: RevOps teams that need more data-driven lead qualification and smarter routing of inbound leads.

Similar to: 6sense.

MadKudu offers a solid alternative to Lemlist when your priority is predictive lead scoring and routing rather than raw list-building.

The platform turns behavioral and firmographic signals into actionable lead scores so that your team can prioritize inbound leads.

Features

• Analyzes your historical customer data (e.g., closed deals, trial conversions, and retention metrics) to build predictive scoring models that surface high-potential leads early in the lead generation funnel.
• Prospects are categorized by both fit (firmographics, role, industry) and intent (behavioral signals like email engagement or product usage).
• Integrates with tools like Salesforce, HubSpot, Marketo, and Segment, pushing lead scores directly into workflows your team already uses. 

Pricing

MadKudu doesn’t publish prices for its product.

You can book a demo and request a custom quote based on your specific requirements.

Pros & Cons

✅ Analyzes your historical customer data.

✅ Predictive scoring models that use behavioral and firmographic signals.

✅ Integrates with tools like Salesforce, HubSpot, Marketo, and Segment.

❌ There’s a reported learning curve, similar to Lemlist.

❌ A higher price tag than other MadKudu alternatives on the market.

#6: Seamless AI

Best for: Sales reps that prioritize speed and ease-of-use for prospect discovery.

Similar to: Koala.

Seamless AI is a viable alternative to Lemlist when your sales team is looking for fast, real-time contact discovery and enrichment with AI-assisted search.

What I like about the software is that it’s been built to find contacts quickly and surface validated emails to fuel high-velocity outreach.

Features

• Real-time contact discovery and verification that reduces manual list-building time for SDRs.
• Craft better sales scripts, emails, and social media messages by analyzing contact data and preferences.
• Total AI confidence scoring that assigns a confidence score to each contact's data, indicating the reliability of information like email addresses, helping you improve outreach success rates.

Pricing

Seamless AI offers a free forever plan that provides you with 50 credits for finding prospect data.

For more credits and extra features, subscribe to one of two plans:

• Pro: Includes everything in Free, daily credit refresh, access to AI features, etc.
• Enterprise: Includes everything in Pro, plus API and extra support.

However, Seamless AI doesn’t disclose prices for its packages, so you’ll have to contact its team.

Note: Some of its best features, including all the AI-powered ones, are listed as add-ons. 

This means that you may need to pay extra for them, regardless of your subscription to any of the tool’s paid plans.

Pros & Cons

✅ Provides real-time, verified contact information.

✅ User-friendly interface with a helpful Chrome extension.

✅ Integrations with platforms like LinkedIn and CRMs.

❌ Limited international data coverage compared to other platforms on the market, unlike some Seamless AI alternatives.

❌ Its customer support can be inconsistent, according to G2 reviews.

#7: 6sense

Best for: Companies looking for predictive account scoring and intent orchestration.

Similar to: ZoomInfo, Warmly.

6sense uses intent data, predictive analytics, and orchestration to surface in-market accounts before they engage with sales.

Its sales tool is a nice alternative to Lemlist, as it enables you to prioritize accounts and tailor outreach with precision to accelerate deal velocity.

Features

• The platform detects buyer intent and connects it with the rest of the lead’s customer journey online, so you can recognize leads most likely to convert based on their level of intent.
• Predictive account scoring and intent orchestration that surfaces high-propensity accounts and recommended actions for sellers.
• 80+ segmentation filters that let you define your ICP and identify the accounts that best fit it.

Pricing

6sense offers a free plan that provides access to 50 credits/month, Buyer Discovery features, access to contact and company data, alerts, and list management functionality with a Chrome extension.

To get more out of the solution, you’d need to be on one of their three paid tiers:

• Team: Custom pricing, which gives you access to technographics, psychographics, access to Web, CRM, and SEP Apps, and the ability to add to CRM/SEP and dashboards.
• Growth: Custom pricing, which adds 6sense intent (keywords), 3rd party intent, corporate hierarchy, and the tool’s prioritization dashboards.
• Enterprise: Custom pricing, which adds the platform’s predictive AI model, AI-recommended actions, and CRM & MAP activity.

Even though 6sense does not disclose its pricing on the website, we were able to find 3rd-party data from Vendr that claims that the average 6sense contract value is $123,711 per year.

💡Feel free to check out our 6sense pricing guide, which covers the tool’s pricing structure in more detail and aims to answer whether the tool is worth the cost.

Pros & Cons

✅ Advertising capabilities that help you build targeting and retargeting campaigns based on buyer intent data.

✅ The tool has a vast data base consisting of 65M+ companies, 600M+ buyer profiles, and 35K+ industries.

✅ Dynamic audience building with 80+ segmentation filters.

❌ The solution does not currently identify individuals on your website, but rather accounts.

❌ The tool can get expensive, which is why some teams have been looking for 6sense alternatives.

#8: Clay

Best for: SDRs looking to build fully custom, ICP-powered scoring workflows using clean, enriched data from multiple sources.

Similar to: Keyplay, Wiza.

Clay offers a lead enrichment tool that collects data from 75+ enrichment sources and lets you create detailed lead lists by pulling from its 10+ built-in sources.

What stood out to me about Clay in comparison to Lemlist is that you can build tables from prompts like: “find me prospects that look like my ICP”. 

Features

• Waterfall data enrichment, similar to Warmly, which lets you cross-reference dozens of databases and data providers to increase the chances of getting accurate data.
• AI web scraper Claygent, which runs prospect research for you anywhere on the web.
• Intuitive lead list builder that lets you create comprehensive lists easily.

Pricing

Clay’s pricing offers a free forever plan that provides 100 monthly search credits and limited access to its features.

For more advanced users, Clay has 4 pricing tiers:

• Starter: $149/mo.
• Explorer: $349/mo.
• Pro: $800/mo.
• Enterprise: Custom pricing.

Clay has a 14-day free trial for its Pro package.

Pros and Cons

✅ Waterfall enrichment speeds up prospecting and improves the quality of your prospect and leads lists.

✅ A wide range of features and integrations.

✅ Intuitive lead list builder.

❌ There’s a reported learning curve.

❌ The costs can easily sneak up on you, which is why some people have been looking for Clay alternatives.

#9: Salespanel

Best for: GTM teams looking for a data-driven way to qualify leads and personalize engagement without technical complexity.

Similar to: Warmly.

Salespanel is a buyer intent software that tracks website visitors in real-time, identifies companies and leads, and scores them based on behavioral data to surface accounts most likely to buy. 

The platform integrates this intent data with CRM and marketing automation tools to help you align outreach with actual buyer activity.

Features

• Real-time lead scoring and qualification that leverage first-party intent data and your ICP attributes to score every lead identified on your website.
• Comprehensive buyer intent data, which helps you collect and use first-party buyer intent data with minimal configuration.
• Detailed analytics dashboards to help you visualize lead generation metrics and be able to detect bottlenecks, improve attribution, and understand what yields the best results.

Pricing

Salespanel offers three plans, two of which have the same starting price:

• Salespanel Customer Data Platform: Starting at $99/mo, includes up to 10,000 monthly visitors with up to 10% deanonymized traffic. You’ll be charged $10/mo for every additional 1,000 visitors.
• Salespanel Account Reveal: Starting at $99/mo, includes up to 2,000 monthly visitors with up to 60% deanonymized traffic. You’ll be charged $40/mo for every additional 1,000 visitors.
• Custom Pricing: Custom traffic volume with up to 60% deanonymized traffic. Includes everything in Account Reveal plus advanced customization options.

Pros & Cons

✅ Comprehensive analytics tools.

✅ Easy setup and user-friendly interface, covering the weaknesses of Lemlist.

✅ Deep tracking functionality that prepares you for a cookie-less world.

❌ The costs can easily add up, given the caps and limitations in the essential packages, similar to Lemlist.

❌ Annual billing only with no free plan.

#10: Clearbit

Best for: ABM teams looking for real-time enrichment of inbound leads and best-in-class lead scoring workflows.

Similar to: Cognism.

Clearbit provides real-time enrichment that SLG teams use to enrich forms, score leads, and segment accounts as they interact with your website.

The tool is a viable alternative to Lemlist with its developer-friendly stack, which makes it easy to embed data into workflows for faster personalization.

Features

• Real-time enrichment API and lead scoring fields that power dynamic personalization across your CRM and marketing touchpoints (e.g., LinkedIn).
• Form shortening for capturing more leads without losing relevant data.
• Instant lead scoring and routing with the platform’s industry categorization, corporate hierarchies, job roles and seniority tags, etc.

Pricing

Clearbit’s pricing is not currently disclosed, so you’ll have to contact its team for accurate pricing details.

The only thing stated on the website is that the plan is volume-based and can be configured to include add-on packages like Forms, Advertising, and Capture.

This means that you’ll probably be charged extra if you opt for add-ons.

Note: Warmly's pricing plans include access to Clearbit’s rich database.

Pros & Cons

✅ There’s a variety of buyer intent signals to help you identify qualified leads.

✅ Integrates with various platforms and CRMs.

✅ User-friendly, unlike some AI B2B sales tools on the market.

❌ Opaque pricing, which is why some sales teams have been looking for Clearbit alternatives.

❌ Some of its features are available only as add-ons that are charged extra.

Activate and engage in-market accounts automatically with Warmly’s AI Marketing Ops Agent

That’s it from this comprehensive guide of the 10 best Lemlist alternatives for sales teams looking to build lead lists, score them, and engage them.

Warmly goes beyond basic enrichment and automation: the software acts as a signal orchestration hub that unifies intent signals, CRM data, and automated workflows under one logic layer.

Our software warms up your Total Addressable Market (TAM) & segments your prospects into cold, warm & hot using an Intent Signal Data Agent.

The Marketing Ops Agent then ranks and enriches contacts, identifying buying committees based on past closed won deals.

Finally, Warmly uses Outbound & Inbound Agents to engage your hottest prospects in different channels (e.g., on chat, email, or on LinkedIn) so you can book meetings while you sleep.

If your company is serious about capturing demand the moment it surfaces, Warmly is one of the most intent-driven platforms available today.

Here’s what else you’ll get by signing up for Warmly:

• The ability to identify potential buyers by tracking their interactions with your website and getting insights into their interest level.
• A wide range of accurate prospect contact details, directly from the Coldly database, helping you reach the right people.
• Simplify your meeting process with automatic meeting scheduling that removes the back-and-forth, ensuring a frictionless booking experience.
• Automatically send leads to the right salesperson and notify them via Slack if a high-intent lead is active on your website.
• A Bombora integration that helps you proactively reach out to your warm leads and track who’s researching terms relevant to your product and brand, and get in front of them before your competitors do.
• Automate the search for high-potential prospects using AI technology, ensuring your sales team focuses on the right opportunities.

Book a live demo to see it in action.

Read More

• 10 Best Persana AI Alternatives & Competitors: Looking for the best Persana AI alternatives to automate outbound sales and prioritize the right leads?
• 10 Best LeadMagic Alternatives for List Building: The best ones now combine real-time intent, deep enrichment, and automation to help you not only find the right leads, but act on them instantly.
• 10 Best Wiza Alternatives for List Building: Maybe you need more automation. Smarter filtering. Real-time intent. Or just cleaner data with fewer bounces and more context behind every lead.
• How To Do Lead Scoring In Clay In 2026?: I’m going to show you how you can segment your lead list into different categories of prioritization by assigning them a score in Clay.
• How To Build A Lead List In Clay For Cold Outreach In 2026: I’ll walk you through how to build a lead list in Clay, step-by-step, to help you get started with the platform.

VoilaNorbert is a lead generation tool that promises it can find anyone's corporate email address and enrich it with data that drives conversion.

However, some SDRs have been dissatisfied with the solution for a few reasons, which is why some of them have been looking for alternatives on the market.

In this comprehensive guide, I’ll go over the 10 best alternatives to VoilaNorbert in 2026 that can help you build and refine your best lead list and then orchestrate personalized outreach.

When I was making the shortlist, I wasn’t focusing only on feature strength. I also took into consideration the overall customer satisfaction, the use cases of the tools, and their pricing models.

TL;DR

• Warmly offers the best alternative to VoilaNorbert by delivering verified, multi-source enriched data (so no data is outdated or incomplete), eliminating credit burn with flexible component-based pricing, and providing far more accurate intent signals through its 20+ provider waterfall engine.
• Database and outreach tools like Apollo and RocketReach are ideal for unified prospecting, built-in sequences, and batch contact lookups.
• On the other hand, there are tools like Datanyze and MadKudu that can help you target accounts by technographics and implement predictive lead scoring & routing.

Why have some sales teams been looking to make the switch from VoilaNorbert?

The main reasons why some teams have been looking to switch from VoilaNorbert are its requirements to have a prospect’s full name and domain for the tool to function, the time-consuming process of uploading CSVs, and customer support that does not respond promptly.

But don’t get us wrong here, I’m not trying to claim that VoilaNorbert is a bad platform that you should run from.

In fact, many customers are happy with its overall return on investment, how quickly it was to get started, and its email digging capabilities.

However, there are a few caveats that I found when I tested and researched the sales intelligence solution: ⤵️

#1: The tool requires both a prospect’s full name and domain

Some users of the tool are not happy with the tool’s requirement for you to insert a prospect’s full name and domain before it can give you their email address.

There are other tools on the market that let you find and enrich contacts using just a name, company name, or LinkedIn profile, without needing the company domain.

‘’The biggest pain point is the need for both a prospect’s full name and domain. In many real-world situations, I might only have a name and company, or maybe just a LinkedIn profile, no company website handy. It would be amazing if the platform’s database could fill those gaps or allow more flexible searches.’’ – G2 Review.

#2: Uploading can be time-consuming

Next up, some customers are not happy with how time-consuming the whole process is when you have a list of leads to upload:

• First of all, you have to upload them as a CSV file, which some customers feel is an extra step.
• After that, an email verification process runs, which can be slow when handling large lists.

➡️ Imagine doing all of that every week or every month to make sure that the data is not stale; it becomes a job in itself.

‘’The only downside I've noticed is that the email verification process can be a bit slow when handling large lists. It still gets the job done, but when you're working with hundreds of leads at once, it would be great to have faster performance.’’ – G2 Review.

#3: Customer support does not respond as fast as you’d expect

Last but not least, some users of the platform have not been happy with its customer support, noting that its response rate was rather slow.

‘’Support team response rate is very slow.’’ – G2 Review.

What are the best VoilaNorbert alternatives on the market in 2026?

The best alternatives to VoilaNorbert are Warmly, FullContact, and Apollo.

Here’s a use case and pricing breakdown of the best AI prospecting tools that I’ve shortlisted:

#1: Warmly

Warmly offers the best VoilaNorbert alternative on the market with our AI Marketing Ops Agent that lets you automatically build, score, and continuously sync high-value, intent-driven audiences across CRMs, ad platforms, and outbound tools.

The tool removes manual list-building and fragile spreadsheet workflows by continuously discovering, enriching, scoring, and syncing the exact audiences you should be targeting right now.

Disclosure: Even though Warmly is our AI sales software, I’ll provide an unbiased perspective on why Warmly is the best alternative to VoilaNorbert in 2026.

Let’s look at some of the features that make Warmly the go-to option for GTM teams looking to switch from VoilaNorbert:

Feature #1: Automate list building and lead enrichment with the Marketing Ops Agent

Warmly’s AI Marketing Ops Agent lets you automatically build, enrich, score, and sync dynamic target audiences across CRM, ad platforms, and outbound tools.

Instead of manually exporting lists, cleaning data, or waiting for new leads like you have to do with VoilaNorbert, your team will get an always-fresh, AI-curated list of best-fit accounts and contacts synced across every system.

We noticed how sales teams spend a lot of time building, cleaning, and syncing target lists across CRMs, ad platforms, and outbound tools.

In fact, data shows that sales reps spend only ~28–33% of their time on actual selling, and administrative and non-selling work consumes most of their time.

The Marketing Ops Agent automates that, acting as your real-time sales intelligence layer between your data sources and your marketing & sales systems.

Here's how it works:

‎

The Marketing Ops Agent connects directly to your CRM, ad platforms, outbound tools, and intent sources to automate key targeting workflows:

• AI-powered lead scoring and enrichment to create dynamic lists ranked by fit and buying intent.
• Buying committee identification using insights from past closed-won deals.

• Instant audience syncing with HubSpot, Marketo, LinkedIn, Meta, Outreach, and more. No more manual CSV uploads.
• Automatic list updates as new intent signals or engagement changes occur.

➡️ This helps our users catch up on in-market prospects doing research, as 96% of prospects research companies before engaging sales, according to research from HubSpot.

• Unified buying intent scores that stay synced across every sales and marketing channel.

Feature #2: Find prospects that look just like your best customers

Most sales intelligence tools on the market, like VoilaNorbert, give you firmographic filters, such as industry, headcount, location, and job title, and call it a day.

However, our software goes much deeper.

With our AI-powered ICP identification, Warmly analyzes your actual customer data to uncover what really makes a good fit.

And it’s not just surface-level attributes: it’s patterns across the company tech stack, growth signals, org structure, seniority distribution, and even past engagement behavior.

Once Warmly understands who your best users are, it’ll automatically scan its database of 200M+ contacts to find lookalike prospects, that is, the people and companies that closely resemble your top performers.

The result is a list of not just any prospects, but the right prospects, so your team spends less time guessing and more time engaging the people most likely to convert.

Feature #3: Identify your site visitors at the company and person level

Warmly helps you maximize your site’s lead generation potential by identifying both the companies and individuals visiting it.

All you have to do is add a snippet of Warmly’s code to your site, and the sales intelligence software will start revealing your visitors in minutes.

In addition to company and person-level identification, Warmly will also enrich your visitors’:

1. Contact data (e.g., email address, phone number, social media profiles, etc.).
2. Firmographics (e.g., company location, size, funding, etc.).
3. Demographics (e.g., individual names, job positions, etc.).
4. Technographics (e.g., tools a prospect uses).

But our visitor identification solution doesn’t stop there.

Warmly also tracks real-time 1st, 2nd, and 3rd-party intent signals to surface the visitors that matter most, so you can instantly prioritize outreach based on actual buying behavior.

That includes:

1. 1st-party signals, such as pricing page views, repeated visits, product usage, or form fills.
2. 2nd-party signals like relevant LinkedIn activity (e.g., industry-relevant discussions, posts, comments, likes, etc.).
3. 3rd-party signals like competitor research or intent keywords being searched.

💡 Data shows that sales intelligence (enriched contact and intent data) can help shorten prospect-research cycles from 3–5 hours to 10–15 minutes, according to a recent industry research, as AI enrichment condenses discovery.

Warmly optimizes its data through a waterfall approach.

Our tool uses multiple data providers (20+), including 2 other leading website de-anonymization providers, to validate the accuracy, quality & overall match rate of our signal & contact data.

We’ve seen that this leads to:

• Higher data quantity: Multiple sources expand match rates.
• Higher data quality: Proprietary cleansing and confidence scoring validate accuracy.

💡 To maintain data quality and quantity, we continuously monitor vendor performance and validate our proprietary matching algorithms. 

➡️ These systems allow us to track quality and quantity metrics in real-time to make sure that both contact-level and company-level data meet the high standards our customers expect.

Warmly’s transparent data commitment means you can test our data quality with our free tier before committing to us as a data provider.

Since our platform aggregates data from 25+ providers and cross-checks it using our proprietary waterfall technique, the software can validate and verify data on your behalf, ensuring it’s of the highest quality.

Feature #4: Turn static lead lists into automated outreach with AI SDRs

Once you have built the list of leads, Warmly doesn’t just let it sit there. It gets to work for you.

With AI Orchestrator and built-in AI SDR agents, our platform turns every ICP-fit prospect into a warm opportunity by triggering automated, personalized outbound across email and LinkedIn, based on real-time behavior and intent signals.

Here’s how it works:

1. Prospects who match your ICP and show strong signals (like visiting the pricing page or researching competitors) are instantly added to outbound sequences.
2. Messages are tailored automatically using contact data, context, and intent.

3. Warmly checks to avoid duplicate outreach and ensures contacts aren’t already being worked.

4. It’s also possible to set rules for account multithreading, so your AI SDR reaches all the key decision-makers, not just one person.

And this isn’t just task automation. It’s real prospecting, at scale, without increasing SDR headcount.

Feature #5: Build targeted lead lists from a 200M+ contact database (Coldly)

Similar to VoilaNorbert, Warmly comes with a built-in prospecting platform, Coldly, which gives your team access to a constantly refreshed database of over 200 million contacts and accounts, so you can build high-quality prospect lists in seconds.

Our prospect database combines powerful filters with real-time enrichment to help you find exactly who you’re looking for across every channel.

Your team will be able to filter by:

• Job title, function, or department.
• Seniority level and decision-making role.
• Company size, revenue, industry, or location.
• Tech stack and hiring signals.
• And dozens more customizable filters.

➡️ Each lead comes pre-enriched with verified email addresses, phone numbers, and LinkedIn profiles, so your lists are not only accurate but immediately actionable.

Bonus: There’s also a Chrome extension that lets your reps pull contact data directly from LinkedIn or any website, making manual prospecting a whole lot faster.

Warmly’s Integrations

Warmly integrates with a wide range of CRMs and sales platforms, including:

• HubSpot CRM.
• OpenAI.
• Slack.
• Apollo.
• Outreach.
• Demandbase.
• RB2B.
• Clearbit.
• People Data Labs.
• And more.

💡 For example, you can combine Warmly’s visitor identification software with HubSpot to alert your sales team the moment a known prospect arrives on the site. 

With the HubSpot browser cookie, you can prioritize conversations with the leads who have shown the most engagement with your HubSpot campaigns.

In addition to deep integrations with several lead intelligence platforms, Warmly provides a Warm Bundle: partner discounts for over 25 sales, marketing, and GTM tools.

This way, your team can access many relevant tools and combine them with Warmly at a fraction of their usual price.

Pricing

Warmly’s pricing is modular and component-based and comes with a free plan that lets you identify up to 500 website visitors per month. 

You can choose the components that best match the needs of your business, as components are priced by output and not just by a monthly fee.

There are 4 paid product plans that you can choose from:

• Signals Agent: Custom pricing, which gives you access to 10,000 monthly credits, Person-Level Intent Signals (1st, 2nd, & 3rd Party), website de-anonymization capabilities, Warm lead alerts, and access to a contact database.
• Inbound Agent - Engage: Starts at $20,000/year, and adds AI Chat, native outbound email and LinkedIn automation, intent-powered pop-ups, lead routing with custom CRM fields, and the ability to push leads to sales sequencers.
• Inbound Agent - Scale: Starts at $30,000/year, and adds unlimited AI Chat agents, and the ability to push leads to Ad Audiences.
• Marketing Ops Agent: Custom pricing, which adds AI-powered account scoring, AI enrichments and custom signals, buying committee identification, real-time buying intent signal tracking, and automatic updates across all enrichments, signals, account and lead lists.

Monthly credits on Warmly are used to track and engage with potential leads. 

For example, each interaction or engagement with a lead will use up one credit, such as when you engage with a lead through email or LinkedIn.

➡️ Warmly’s pricing is ideal for larger SMB and MM companies with a growing or mature GTM motion with SDR, sales, and marketing functions.

How do Warmly’s credits work?

💡 Warmly provides you with a certain amount of credits every month, depending on your monthly web visits and the amount you want to de-anonymize. 

Once a prospect visits your website, the tool captures their first and last name, job title and company they work at, LinkedIn profile and business or personal email. This information takes 1 credit.

For example, each interaction or engagement with a lead will use up one credit, such as when you engage with a lead through email or LinkedIn.

How is Warmly different from VoilaNorbert?

VoilaNorbert is known for email discovery, verification, and basic list enrichment. The platform helps find accurate business emails and validate contact lists for outbound outreach.

Warmly goes far beyond traditional email finders by combining visitor identification, intent scoring, automated audience building, and AI-driven activation into one signal-powered revenue orchestration engine.

Warmly helps GTM teams replace manual list building and repetitive prospecting tasks with agents that automatically surface in market buyers and trigger tailored outreach at the exact moment prospects show intent.

Here is a breakdown of the two solutions' functionality:

Pros & Cons

✅ Identifies companies and individuals visiting your website.

✅ Enriches each identified lead with detailed B2B intelligence and reveals intent data.

✅ Identify buying committees.

✅ Live sales engagement capabilities.

✅ You can build a real-time, auto-updating list of your best prospects.

✅ Generous free plan to get started with 500 website visitors to de-anonymize.

❌ Pricing is modular.

#2: FullContact

Best for: Teams looking to build rich individual profiles by aggregating data across social channels, emails, company info, and demographics.

Similar to: MadKudu, ListKit.

FullContact is a sales intelligence tool that offers prospect insights with a specific focus on data and privacy. 

The tool helps you identify leads on your website while adhering to customer privacy regulations, making it a viable alternative to VoilaNorbert for teams in highly-regulated industries.

Features

• Identify website visitors with their professional contact information by using the Acumen Lead Identification feature.
• Unify and enrich incomplete lead data by mapping identities across your systems of record. 
• Make sure that there is no fraud in ID verification by using the Verify feature.

Pricing

FullContact does not disclose its pricing on its website. 

To access their pricing structure, you’ll have to get in contact with FullContact’s sales team.

Pros & Cons

✅ Friendly, supportive, and helpful support, covering one of the weaknesses of VoilaNorbert.

✅ Easy to use and understand.

✅ Low levels of maintenance required.

❌ Pricing is not transparent. 

❌ Its many verification steps can mean outdated data.

#3: Apollo

Best for: SMBs and mid-market sales teams wanting an affordable unified prospecting and outbound automation tool.

Similar to: Cognism, UserMotion.

Apollo pairs a sizable prospect database with built-in sales engagement (sequences, dialling, and email), making it an alternative to VoilaNorbert for teams that want an all-in-one prospecting and outreach stack without having to know a prospect’s first and last times, as well as their domain, to find their email. 

I think of the tool as especially useful where list generation and multi-touch cadences should live and be measured in the same tool.

Features

• Combined lead intelligence, integrated sequences and activity tracking, so sourcing and outreach live in one solution.
• A large contact database with access to 270 million contacts that you can drill down with 200+ filters and CRM integration.
• Lead scoring and prioritization: Apollo helps prioritize high-value leads, enabling teams to focus on prospects most likely to convert. 

Pricing

Apollo’s pricing structure offers a free forever plan that includes 100 email and mobile phone finder credits, basic filters and prospecting, and two sequences.

If you need more, you can upgrade to one of three paid plans:

• Basic: $59 per user per month.
• Professional: $99 per user per month.
• Organization: $149 per user per month.

Pros & Cons

✅ A B2B database with over 210 million contacts.

✅ Seamless integration with existing sales tools.

✅ Strong all-in-one workflow (search the database > enrich the leads > outbound sequence) that reduces platform friction.

❌ Occasional UI lags, particularly when managing large-scale data, which is why some customers have been looking for Apollo alternatives.

❌ Apollo can be complex to use if you’re a beginner in sales intelligence platforms.

#4: MadKudu

Best for: Revenue teams that need data-driven lead qualification and smarter routing of inbound leads.

Similar to: 6sense.

MadKudu is an alternative to VoilaNorbert when your priority is predictive lead scoring and routing rather than raw list-building.

The tool turns behavioral and firmographic signals into actionable lead scores so you can prioritize inbound leads.

Features

• Analyzes your historical customer data (e.g., closed deals, trial conversions, and retention metrics) to build predictive scoring models that surface high-potential leads early in the lead generation funnel.
• Prospects are categorized by both fit (firmographics, role, industry) and intent (behavioral signals like email engagement or product usage).
• Integrates with tools like Salesforce, HubSpot, Marketo, and Segment, pushing lead scores directly into workflows your team already uses. 

Pricing

MadKudu doesn’t publish prices for its product.

You can book a demo and request a custom quote based on your specific requirements.

Pros & Cons

✅ Analyzes your historical customer data.

✅ Predictive scoring models that use behavioral and firmographic signals.

✅ Integrates with tools like Salesforce, HubSpot, Marketo, and Segment.

❌ There’s a reported learning curve.

❌ A higher price tag than other MadKudu alternatives on the market.

#5: Datanyze

Best for: Sales teams that want to target accounts by existing tech stack.

Similar to: FullContact, Leadspace.

Datanyze is a viable VoilaNorbert alternative when technographic intelligence (i.e., what tools a lead uses) is the core signal you want to target by product fit. 

What stands out about the tool is that it helps SDRs surface companies using competitor tech or complementary stacks for highly relevant outreach.

Features

• With its Chrome extension, Datanyze lets you capture data from prospects' LinkedIn profiles.
• Datanyze provides curated icebreakers for sales reps to use when reaching out. 
• Technographic discovery that identifies prospects by the tool and technologies they run, improving product-fit targeting.

Pricing

Currently, Datanyze offers three plans for users:

• Free: 90-day free trial. Comes with 10 credits per month.
• Nyze Pro 1: Costs $21 per month, per year. Comes with 960 credits per month.
• Nyze Pro 2: $39 per month, per year. Comes with 1920 credits per month.

Each credit is worth 1 contact information reveal, making Datanyze one of the most affordable lead enrichment tools available.

Pros & Cons

✅ Simple Chrome extension that allows for real-time data collection.

✅ Affordable entry pricing for SMBs.

✅ Excellent for product-fit targeting via technographics

❌ Coverage can be inconsistent outside mainstream tech categories.

❌ Lacks a built-in lead scoring engine.

#6: Keyplay

Best for: Sales teams that need ICP modelling, ABM account scoring, and CRM-native workflows.

Similar to: Clearbit.

Keyplay is a viable VoilaNorbert alternative when your focus is on account selection and ICP-first ABM rather than pure contact list generation.

What I like about the tool is that it models ICPs, scores accounts, and syncs prioritized lists back into Salesforce and HubSpot.

Features