SALES INTELLIGENCE

Sales Intelligence at the Moment It Matters

Traditional sales intelligence is a database you search through. Warmly delivers intelligence in real-time — when a buyer visits your website, when intent signals fire, when an account becomes active. Company data, contact details, tech stack, funding history, and engagement signals all delivered to your rep at the exact moment they need it.
Sales intelligence software provides B2B sales teams with data and insights about prospects and accounts to improve outreach and close rates. Warmly delivers real-time sales intelligence by combining person-level website visitor identification, multi-source intent signals, and comprehensive enrichment data — including firmographics, technographics, funding events, job postings, and buying committee mapping. Warmly's Context Graph connects every entity — companies, people, deals, signals, and outcomes — into a single view that AI agents can reason over and reps can access instantly. Instead of reps searching a database before outreach, Warmly pushes intelligence to reps when buyer signals activate, so every conversation starts with full context.
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Companies using Warmly
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What intelligence does Warmly deliver to your sales team?
Warmly delivers real-time intelligence across every dimension your reps need:
Person-level visitor data Name, email, job title, LinkedIn profile for every identified website visitor
Company enrichment Firmographics, industry, employee count, revenue, tech stack, funding history
Buying committee mapping Decision makers, champions, influencers identified at target accounts
Intent signals Website behavior, Bombora research topics, LinkedIn engagement, job postings
Engagement history Full timeline of every interaction: site visits, chat conversations, email opens, ad clicks
Competitive intelligence Technographic data reveals which competitors' tools they're using
CRM auto-sync All intelligence flows into HubSpot/Salesforce automatically, enriching existing records
Intelligence that arrives at the moment of intent. Not data you go looking for.
Best For:
Account executives
Need full context before every call and email
SDR teams
Want enriched, scored accounts instead of raw lists
RevOps teams
Need clean, enriched data flowing into CRM automatically

Stale Data Doesn't Close Deals

Your database is outdated by the time you use it
People change jobs, companies get funding, tech stacks evolve. Static databases decay 30% per year. Your reps are outreaching with yesterday's intelligence.
Reps spend 30% of their day researching
LinkedIn stalking, Googling companies, checking CRM history, reading news. That's your most expensive resource doing work an AI should handle.
Intelligence lives in 5 different tools
Contact data in ZoomInfo. Company info in LinkedIn. Intent in Bombora. Engagement in CRM. Tech stack in BuiltWith. No single view of the account.
Data without context is just noise
Knowing someone's email doesn't help if you don't know they visited your pricing page yesterday, their company just raised funding, and they're evaluating your competitor.
Comparison

From Static Database to Living Intelligence

Before (Static Database)
After (Warmly Real-Time Intelligence)
Search a database before outreach
Intelligence pushed to you when buyers show intent
Data decays 30% annually
Real-time enrichment refreshed on every signal
5 tools for a complete picture
One platform: contacts + companies + intent + engagement
Reps research manually
AI compiles account context automatically
No idea what competitors they use
Technographic data on every target account
Contact data only
Full buying committee with roles and influence mapped
Data disconnected from action
Intelligence triggers AI agents to engage automatically

Intelligence That Works For Your Reps

Splash screen

Every Account, Complete Context, Always Current

When a rep opens an account, they see the full picture: who's visited, what they looked at, which signals are active, and what outreach has already happened.
When a target account visits your website (signal), and their Bombora research topics surge in your category (signal), and a VP from that account engages with your LinkedIn ad (signal) – THAT’S when Warmly’s AI generates a personalized email sequence.
Context that would take 30 minutes to manually compile, delivered instantly.
Buying Committee Identification

Know the Entire Buying Committee, Not Just One Contact

Deals aren't won with one contact. Warmly maps the full buying committee at target accounts — identifying decision makers, champions, influencers, and approvers based on role, seniority, and department.
Each person gets enriched with contact details, LinkedIn profile, and any engagement signals.
Your rep doesn't just know the company is interested. They know exactly who to reach, in what order, with what message for each persona.
Buying committees are mapped automatically using TAM Agent intelligence.
AI ICP Tiering

Know Their Tech Stack Before You Call

What CRM do they use? Which marketing automation? Are they running a competitor's product?
Warmly's technographic intelligence reveals the tools and technologies your target accounts use — giving your reps a competitive edge in every conversation.
If they're running your competitor, you know exactly which pain points to highlight. If they're using complementary tools, you know the integration story to tell.
Competitive intelligence delivered at the moment of outreach. Powered by the data enrichment layer with quality guarantees.
Example tech stack view:
Technographic profile — Dropbox
CRM: Salesforce (Enterprise)
Marketing Automation: Marketo
Intent Data: Bombora
Chat/Bot: Drift ⚠️ Competitor
Analytics: Google Analytics, Amplitude
ABM: Demandbase
Competitive insight
Running Drift — likely pain points:
No person-level visitor ID
No intent signal integration
Limited AI agent capabilities

The Context Graph: How Every Data Point Connects

Traditional sales intelligence is a database you query: search a name, get a record. Warmly's Context Graph is fundamentally different. It's a unified entity model where every company, person, deal, activity, and signal is connected by relationships — and AI agents can traverse those relationships to assemble intelligence automatically.
What is Warmly's Inbound Agent
What Makes This Different from a Database
A database stores facts. ZoomInfo tells you Sarah Chen is VP Marketing at Dropbox. That's a row in a table.
The Context Graph stores meaning. It knows:
Sarah works at Dropbox (employment entity)
Sarah is champion on the open opportunity (deal relationship)
Sarah previously worked at Pendo (which is your customer — warm intro possible)
Dropbox uses HubSpot + Drift (technographic entity — Drift is sunsetting, competitive angle)
Dropbox's CRO reports to the CEO (org hierarchy — for executive sponsorship play)
Last week's email to the CRO resulted in a reply asking about enterprise pricing (decision trace)
An AI agent can traverse these relationships to generate: "Reach out to Sarah. Lead with the Drift sunset angle. Mention that her former company Pendo saw 3x pipeline with Warmly. The CRO is already engaged — Sarah can champion internally."
That's not data. That's intelligence.
How Intelligence Gets Delivered
Before a call:
Rep opens Dropbox in Warmly. In under 1 second, the Context Graph returns: firmographics, tech stack, funding history, hiring signals, full buying committee with roles, every website visit with pages and duration, every email sent and its outcome, every ad impression, Bombora topics, and a complete engagement timeline. What used to take 30 minutes of manual research is delivered instantly.
During a live visit:
When Sarah lands on your site, the rep gets a Slack alert with the full context — who she is, what she's viewing, her intent score, the buying committee, and any open deals. The rep can jump into live chat with all of this context visible.
Before outreach:
The AI pre-generates outreach prep:
Competitive angle
"They're on Drift, which sunsets Q2. Migration urgency is real."
Value prop
"3 of their buying committee have engaged this month. Lead with multi-stakeholder momentum."
Risk flag
"CEO hasn't engaged yet. Ask Sarah about procurement process and executive buy-in."
Warm intro
"Sarah previously worked at Pendo. Ask your Pendo champion for an introduction."
The 5-Layer Architecture
Layer
What It Does
Example
Ingest
Captures data from all sources
Website pixel, Bombora API, CRM webhook, LinkedIn data
Process
Identity resolution + enrichment
Matching IP → company → person across 220M+ records
Entity
Stores companies, people, deals as connected nodes
Sarah → works at → Dropbox → has deal → Opportunity #4521
Decision
Logs every action and outcome
"Sent competitive-angle email → CRO replied in 4 hours"
Activate
AI agents query the graph and take action
TAM Agent builds lists, Inbound Agent engages visitors
The Learn Loop
Every rep interaction, every deal outcome, every email reply feeds back into the decision layer. The Context Graph learns: "When companies with HubSpot + sunsetting competitor show Bombora surge, the competitive displacement angle generates 2.4x reply rates." This isn't a static database. It's a living system that gets smarter with every data point.
Foundation Capital called context graphs "AI's trillion-dollar opportunity" — arguing that enterprise value is shifting from "systems of record" to "systems of agents." The Context Graph is the infrastructure that makes AI agents intelligent instead of just automated.
Comparison

How Warmly Compares

Capability
Warmly
ZoomInfo
Apollo
LinkedIn SN
Clearbit
Real-time visitor intelligence
Yes
No
No
No
No
Person-level website ID
Yes
Company only
No
No
Yes (enrichment)
Intent signal integration
Yes
Yes
Basic
No
No
Buying committee mapping
Yes
Yes
Basic
No
No
Technographic data
Yes
Yes
Yes
No
Yes
AI-triggered engagement
Yes
Workflow
Yes
No
No
CRM auto-enrichment
Yes
Yes
Yes
Yes
Yes
Growth-stage pricing
Yes
No
Yes
No
Freemium
0
of database records decay annually. Real-time intelligence doesn't.
Full buying committee mapped at every target account
Zero manual research AI compiles context automatically

What Sales Teams Say

David Chase

More Deals, Same Team Size

"Warmly has allowed us to increase our pipeline targets by twenty percent without increasing headcount."
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David Chase
Sales Leaders / CROs
Charles Fox

Marketing That Converts

"We’ve doubled our average contract value, and our sales team freaking loves using it."
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Charles Fox
Marketing / Demand Gen
Stephanie Armand

Revenue Outcomes

"Warmly sourced MQLs closed fifty percent higher and thirty percent faster than our other sources."
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Stephanie Armand
RevOps

Intelligence for Every Revenue Role

Full account context
Walk into every call with complete account context. Know their tech stack, buying committee, engagement history, and active intent signals
Competitive preparation
Technographic data reveals which competitors' tools they use. Prep the right objection handling before every meeting
Engagement timeline
See every touchpoint — site visits, email opens, ad clicks, chat conversations — in a single Context Graph view
Deal acceleration
Know when multiple stakeholders from the same account visit your site. Multi-threading opportunities surface automatically
Enriched account lists
Stop spending 70% of your day researching. Get enriched, scored account lists with full intelligence from TAM Agent. Focus on outreach, not data entry
Prioritized outreach
Intent scoring tells you which accounts to work right now. Not gut feel — data-driven prioritization
Personalization at scale
Full account context makes every email specific. Reference their recent site visit, their tech stack, their funding round
Intelligence triggers AI agents to engage with personalized outreach the moment signals activate
CRM enrichment
Clean, enriched CRM data without manual imports. HubSpot and Salesforce records enriched automatically
Buying committee automation
Buying committees mapped automatically by role, seniority, and department. No manual research required
Tool consolidation
One platform replacing ZoomInfo + Clearbit + Bombora. See the data layer and database architecture
Real-time enrichment means records stay current. No more annual data cleansing projects

Start Getting Real-Time Intelligence

Install the Warmly pixel
Start identifying website visitors with full enrichment in minutes
Connect your CRM
Existing HubSpot or Salesforce records get enriched automatically
Configure buying committee rules
Define personas by role and seniority. TAM Agent maps committees automatically
Intent signals activate
Website behavior, Bombora topics, LinkedIn engagement, and job postings start flowing
Reps receive contextual intelligence
Live intelligence delivered at the moment of intent. Full context on every account, every time

Common Questions

FAQ

What is sales intelligence software?
How is Warmly different from ZoomInfo?
What data does Warmly provide on accounts and contacts?
How does buying committee mapping work?
What technographic data does Warmly provide?
Does Warmly replace my existing data provider?
How does real-time intelligence differ from a traditional database?
How does Warmly keep data fresh?
Does Warmly integrate with my CRM?
What is the Context Graph?
What ROI can I expect from real-time sales intelligence?

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