WARMLY DATA ENGINE

Real-Time Intelligence, Not Static Data

Legacy systems serve stale snapshots. Warmly detects, generates, scores, and verifies intelligence on the fly. Every request triggers real-time checks and intelligent selection — ensuring you always get the most current, relevant, and verified data available.
137M+ sessions processed annually
220M+ people profiles
95%+ email deliverability
Real-time verification
4.8/5 based on 200+ reviews | GDPR Compliant
Crush your quota

How Does Warmly’s Data Engine Work?

Warmly built its entire data system around a fundamentally different architecture: one that uses time as a strategic advantage. Instead of serving static snapshots, Warmly detects, generates, scores, and verifies intelligence on the fly.
Core capabilities
Proprietary waterfalls
IP→Company (4 vendors), Domain→Company (2 vendors), Email→Person (3 vendors)
6-factor scoring
Consensus logic, enrichment depth, persona proximity, colleague clustering, IP alignment, email quality
Proprietary email guesser
Trained on millions of CRM records to predict email formats
Signal-driven refresh
Not brute-force scheduling, but intelligent detection of when entities need updates
The difference from legacy systems
Legacy: Data sits passively, refreshed every few months
Warmly: Data generated on-the-fly, verified at moment of need
Best for
Teams frustrated with stale data
High bounce rates
Paying for databases that don’t keep up with reality
Data Assets

Why Traditional Data Breaks

Asset
Volume
People Profiles
220 Million
Company Profiles
30 Million
CRM Contacts (Warmly Network)
50 Million
CRM Companies (Warmly Network)
10 Million
Annual Research Intent Signals
33 Million
Monthly Refresh Rate
4 Million entities

Built for Enterprise Scale

The core flaw
Legacy systems treat data as static — passively stored and refreshed every few months. This architecture cannot keep up with reality:
Reality
Legacy Response
People change jobs
Database shows old employer
Companies rebrand
Old domain, wrong company
Email formats evolve
Guessed emails bounce
Contact data decays 30%/year
No ability to refresh on demand
When a user filters legacy data
System returns what it has
No ability to refresh records
No intelligent contact selection
No verification at moment of need
This is the root cause of customer frustration with traditional databases.

Multi-Vendor Verification at Every Step

Our data waterfalls serve as the backbone of the ID engine and prospector:
Crush your quota
Email Quality Verification
Proprietary Email Guesser
Analyzes millions of CRM records to predict most probable email formats
Multi-layered verification
Combines external verification with proprietary data
Catch-all bypass
Effectively handles catch-all domains for high deliverability confidence

Accuracy Over Speed

We leverage 15+ external vendors and proprietary waterfalls with deliberate processing time for deep, multi-factor analysis:
Score Increase Factors:
Factor
What It Measures
Impact
Consensus Logic
How many sources agree on normalized names, emails, LinkedIn URLs
▮▮▮
High
Enrichment Level
Depth achieved: confirmed LinkedIn + job title scores higher than generic email
▮▮▮
High
Persona Proximity
Does visitor match defined buyer persona (e.g., VP Marketing)?
▮▯
Medium
Colleague Clustering
Multiple people from same company visiting = collective intent
▮▯
Medium
IP Location Alignment
IP geolocation matches LinkedIn profile location
▮▯
Medium
Email Quality
Valid business email verified by pipeline
▮▯
Medium
Score Decrease Factors:
Signal
What It Means
Impact
Invalid/phishy emails
e.g., daa2bx@gmail.com
▮▮▮
High
Seen across many customers
Likely bot activity
▮▮▮
High
VPN/proxy/data center IP
Cannot verify location
▮▮▮
High
No enrichment data
Cannot validate identity
▮▯
Medium

Intent to Contact in Seconds

The Outbound Agent solves the core problem: data generated on-the-fly, not filtered from stale snapshots.
The quality advantage:
Legacy Approach
Warmly Approach
Data sits in database
Data generated on demand
User filters it
System refreshes records
Returns data as-is
AI selects best contact
No verification
Verifies before delivery
The quality advantage:
Crush your quota
Result: Best possible contact with verified email, not stale database record.

Intelligent Refreshment, Not Brute Force

Refreshing every entity on a fixed schedule is tedious, expensive, and wasteful. Warmly uses signal-driven efficiency:
Proprietary signal detection
Web activity changes
Contact-level intent signals
CRM interactions
LinkedIn profile updates
Email bounce patterns
How it works:
Crush your quota
Result
4 million entities refreshed monthly
Resources focused on entities that need it
Superior data currency at lower cost

Five Critical B2B Signal Types

Signal Type
What We Track
Website Visitor ID
Company (domain) and individual (person) visiting customer sites
Company Research Intent
B2B research activities across the web
Social Intent
Public activity and engagement relevant to purchasing
Job Changes
New hires, champion tracking, role switches
Job Postings
Hiring activity indicating growth and expansion intent

Proprietary Intelligence, Not Resold Data

Warmly does not operate as a static data reseller. We run a real-time data generation and decision engine that produces high-confidence, actionable intelligence.
Ownership is determined by who generates the final intelligence, not by the origin of the raw signal.
Signal Type
Vendor Role
Warmly Contribution
Ownership
IP → Company
Raw IP intelligence
Multi-vendor consensus, conflict resolution, confidence scoring
Final ID is Warmly proprietary
Domain → Company
Domain lookup
Canonical company graph resolution
Final entity is Warmly proprietary
Email → Person
Direct matches
Cross-vendor agreement, identity scoring, risk suppression
Identity selection is Warmly proprietary
Email Guessing
None
Proprietary models trained on CRM patterns
Warmly proprietary
Email Verification
Verification checks
Routing logic, catch-all bypassing, final decision
Final decision is Warmly proprietary
Website Signals
IP and enrichment inputs
Multi-factor scoring, persona alignment, intent amplification
Final signal intelligence is Warmly proprietary
Social Intent
Optional execution layer
Public data scraping, normalization, relevance scoring
Warmly proprietary
Job Changes
Event feeds
Entity linking, change detection, prioritization
Interpreted signal is Warmly proprietary
CRM Network Data
Customer-provided
Validation, cross-referencing, model improvement
Customer-owned (never Warmly-owned)
Long-term perspective: Vendors supply raw, commoditized inputs. Warmly owns the orchestration layer, scoring logic, inference models, and learning loops. As volume increases, the proprietary layer becomes more accurate and less sensitive to any single vendor.
0
Email deliverability
0
Entities refreshed monthly
Real-time verification at moment of need
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."
tovuti logo
Charles Fox
Marketing / Demand Gen
Stephanie Armand

Revenue Outcomes

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

Common Questions

How is Warmly different from traditional data providers?
What is the 6-factor scoring model?
How does the proprietary email guesser work?
What are proprietary waterfalls?
How often is data refreshed?
Who owns the data?
What's the email deliverability rate?

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