CONTEXT GRAPH

The Complete Picture of Every Account

The Context Graph is Warmly's unified data layer that connects four types of information for every account: what happened to them (signals), what you did (actions), the notes around it (context), and what resulted (outcomes).
Most tools show you what happened. The Context Graph shows you why it happened, what you did about it, and what resulted. Every interaction connected, so you always know the full story.
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What is Warmly's Context Graph?
The Context Graph is a unified timeline that connects four types of information for every account:
What happened to them Website visits, intent signals, funding news, job changes, competitive research
What you did Emails sent, ads served, calls made, sequences triggered
The notes around it Rep observations, meeting summaries, deal context, why decisions were made
What resulted Meetings booked, deals won, conversations had, outcomes tracked
Why this matters:When your AI chatbot engages a visitor, it knows they saw your LinkedIn ad last week, your SDR sent a follow-up email, and they downloaded a case study. When your rep makes a call, they see the complete timeline — not fragments scattered across five tools.
The result:Every decision, human or AI, happens with full context.

Your Data Is Everywhere. Your Context Is Nowhere.

CRM knows the stage
"Deal stage: Discovery" — but no context on why you reached out, what signals led to this, or what happened before.
Email tool counts opens
3 emails sent, 2 opened — but no connection to website visits, no link to intent signals, no deal context.
Intent tools show account-level
"Bombora surge detected" — but which person? What did they research? Did you act on it? What resulted?
Chat sits in isolation
"Conversation with Mike" — but was it the first touch? Had someone else already reached out? Did it influence the deal?
The questions you can't answer today
"Why did we reach out to this account?"
"Did our LinkedIn ads actually influence this deal?"
"What led to this meeting getting booked?"
"Should we re-engage this Closed Lost account?"
"What messaging resonated with this buyer?"
Rep has to manually stitch this together. Every time. AI agents have no way to access this context at all.

What Happened. What You Did. Why. What Resulted.

What Happened to Them (Buyer Signals)
Website Activity
Pricing page visits, demo page views, return visits, time on site
Intent Signals
Bombora topic surges, G2 category research, competitor comparisons
Social Signals
LinkedIn engagement, industry conversations, content sharing
Company Changes
Funding announcements, leadership changes, job postings, tech stack updates
Email Engagement
Opens, clicks, replies, forwards
What You Did (Your Actions)
Outreach
Emails sent, LinkedIn messages, sequences triggered
Advertising
LinkedIn ad impressions, ad clicks, retargeting
Sales Activity
Calls made, meetings held, demos given, proposals sent
Automation
AI chat responses, orchestration triggers, routing decisions
Team Discussions
Slack threads about the account, internal decisions
The Notes Around It (Context & Reasoning)
Decision Context
"Reached out because CFO visited pricing 3x this week"
Meeting Summaries
Call recordings, AI summaries, key takeaways
Rep Observations
"Budget approved for Q2", "Security concerns — need SOC 2"
Why We Did What We Did
"Added to sequence because they match our top ICP signals"
What Resulted (Outcomes)
Conversions
Meeting booked, demo scheduled, trial started
Responses
Email reply, chat response, call connected
Deal Progression
Stage change, proposal sent, contract signed
Results
Closed Won, Closed Lost, churned, expanded

See How Everything Connects

Here's what the Context Graph shows for a real deal:
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Full Context in Every Interaction

Inbound Agent (when someone visits your site):
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Every Signal Source, Unified

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What Changes When Everything Is Connected

Before Context Graph
After Context Graph
Rep opens 6 tabs to understand an account
Complete timeline in one view
AI chat gives generic responses
AI engages with full context of prior touches
Can't tell if LinkedIn ads influenced deals
Clear attribution: ad → visit → meeting → close
Closed Lost accounts stay forgotten
Automatically resurface when conditions change
No one knows why decisions were made
Decision context preserved and searchable
Signals scattered across tools
All signals unified, feeding one score

Decisions, Not Just Data

The Context Graph is the foundation for Warmly's GTM Brain — an AI system that doesn't just store information, but learns from it.
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How the OODA+L loop works

Observe Every signal flows into the Context Graph in real-time
Orient Links form between what happened, what you did, and what resulted
Decide AI agents use the full context to prioritize and act
Act Orchestration triggers across all channelsEvery signal flows into the Context Graph in real-time
Learn Outcomes feed back, making every decision smarter
"The next trillion-dollar platforms will own decisions, not data."
Full timeline for every account
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Context coverage
Every decision traced back to why
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Decision traceability
Attribution finally works
Ad → Site → Meeting → Close tracked

What 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

How Different Teams Use the Context Graph

Attribution reporting
Trace deals back through every touch — ads, emails, site visits, calls
Process optimization
See which sequences and plays actually drive outcomes
Data quality
One source of truth across all GTM tools
AI governance
Audit why any AI decision was made
Rep preparation
Complete account timeline before every call
Pipeline review
Understand what led to each opportunity
Closed Lost analysis
Know exactly why deals were lost, when to re-engage
Coaching
See what top performers do differently
Campaign attribution
Track ads → site visit → meeting → deal
Content insights
Which pages and assets appear in winning deals
ICP refinement
Analyze patterns in won vs lost accounts
Channel investment
Data-backed decisions on where to spend

Connect Your Sources. Context Builds Automatically.

Install the pixel
Website signals start flowing immediately — page visits, time on site, identified visitors
Connect your CRM
HubSpot or Salesforce, bidirectional sync — deals, contacts, activities, notes
Connect your SEP
Outreach or Salesloft — emails sent, sequences, opens, clicks, replies
Enable signals
Bombora intent, social signals, job data — all mapped to accounts
Go Live
Context Graph powers both AI agents from day one
No data migration. No schema mapping. Connections form as data flows.

Common questions

FAQ

What is the Context Graph?
How is the Context Graph different from my CRM?
What data sources connect to the Context Graph?
How do AI agents use the Context Graph?
Can I see the reasoning behind AI decisions?
Does this replace my data warehouse?
How quickly does data flow into the Context Graph?

Connect with Our Experts

Book a 15-minute conversation with a customer of ours and discover how Metric transforms their GTM strategy.