Back to Product Lead Intelligence

Know who's ready to buy—and why

Real buying intent emerges over time as a pattern. We connect signals from across your stack into a complete, evolving view of who's moving toward readiness.

The Problem

GTM teams miss high-value opportunities

Most targeting relies on outdated, static approaches. You have a list of companies that "fit" your ICP—but which ones are actually moving toward readiness right now?

  • Static ICP metrics — industry, revenue, headcount don't tell you who's ready now
  • Single signal triggers — one data point isn't enough to act on
  • Generic intent scoring — not tailored to your specific solution
  • Point-in-time data — no historical context of how accounts develop
The typical outbound approach
Static Lead List
1,000 contacts that "fit" ICP criteria
Same Message
Blast to everyone—no context
2% Response Rate
Miss the 50 who were actually ready to buy
The Approach

Compounding market intelligence

We connect signals into a complete, evolving view of your market—updated continuously as new data emerges.

1

Ingest

Continuously scan signals from your CRM, website, email engagement, job boards, news feeds, and social activity.

2

Score

Apply your custom GTM logic to evaluate which signals matter most—tailored to your specific solution and ICP.

3

Surface

Rank and explain which accounts are showing the strongest signs of need—with full context of how they got there.

Most intent tools give you a point-in-time snapshot.
LeanGTM builds a compounding dataset—signals accumulate, historical comparisons become possible, and you see accounts moving toward readiness, not just who fits today.

See who's moving toward readiness—and why

It's not generic intent. It's your logic, applied continuously, with the full context of how each account develops over time.

Dynamic Prioritization

Accounts ranked by evolving signal patterns, not static criteria. See what changed, when it happened, and why it matters.

Evidence-Based Outreach

Every recommendation comes with the signals that triggered it. Reference their funding, hiring, or engagement with confidence.

Compounding Knowledge

Signals accumulate over time. Historical comparisons show which accounts are accelerating—not just who fits today.

What You See

Prioritized leads with full context

Every lead comes with its signal stack—you know exactly why they're hot and what to say.

🔥🔥🔥 MAXIMUM PRIORITY
Sarah Chen, VP Sales @ Acme Corp
97
Score
Signal Stack:
ICP Fit: 94%
HubSpot: Lead score jumped 40 points this week
News: Company raised Series B last week
Jobs: Hiring 3 SDRs
Website: Visited pricing page (2 days ago)
Social: Liked your post about cold email
Recommended action: Call TODAY
Signal Sources

Where we find buying signals

We aggregate data from across your stack and the web to give you a complete picture.

📊

CRM & Marketing

Engagement data, lead scores, and deal signals from your existing stack

HubSpotSalesforceYour CRM
🌐

Website Visitors

Companies visiting your website—de-anonymised and enriched

Clearbit RevealRB2BHubSpot tracking
📰

News & Events

Company events that indicate buying readiness

Funding alertsLeadership changesExpansions
💼

Job Signals

Hiring for roles you help with = budget allocated

LinkedIn JobsJob boardsHiring patterns
💬

Email & Social

Opens, clicks, replies, and social engagement

HubSpot sequencesLinkedIn activityEmail engagement
🔧

Technographics

Tech stack changes and tool usage

BuiltWithWappalyzerJob postings
Deep Dive

The Lead Intelligence Hierarchy

Not all leads are equal. Our tiered system automatically prioritizes based on signal strength, data richness, and relationship warmth.

T0
Warm Network 1.5x
Referrals, shared connections, community members
Intro from customerStrong 2nd-degree connection
T1
Intent + Mapped Contacts 1.4x
Companies showing buying signals where you have ICP-matched contacts
High engagement in HubSpotExisting contact matches ICP
T1.5
First-Party Intent 1.35x
Companies visiting YOUR website—they found you specifically
Pricing page visitDemo page visit
T2
Intent + No Contacts 1.2x
Strong intent signals but need to source contacts
Topic intent detectedNo contacts in database
T3
Suggested Companies 1.0x
Perfect ICP fit but no active intent signals yet
Matches ICP filtersLookalike to best customers
T3.5
Re-engagement 1.1x
Past prospects who went cold but have new triggers
Job changeCompany funding
T4
Agent Discovery 1.0x
AI-sourced prospects via LinkedIn analysis
Profile matches ICPRecent relevant activity
T4.5
Competitive Displacement 1.05x
Using competitor products—potential switchers
Uses competitor toolNegative reviews
T5
From Scratch 0.8x
User-imported lists, cold outreach
CSV importEvent attendees
Deep Dive

Every signal has a score

We weight signals based on how predictive they are of buying intent. Scores decay over time—a pricing page visit from 2 days ago matters more than one from 2 months ago.

Composite Score Formula:
Score = Base ICP Fit
+ (Topic Intent × 0.25)
+ (News Signals × 0.20)
+ (Job Signals × 0.15)
+ (First-Party × 0.20)
+ (Social × 0.10)
+ (Relationship × 0.10)
× Tier Priority Multiplier
Signal Score Examples:
Pricing page visit
Website
+40
HubSpot lead score spike
CRM
+35
Funding announced
News
+35
Hiring your buyer persona
Jobs
+35
Demo page visit
Website
+30
Email sequence engaged
Email
+30
New C-level hire
News
+30
Uses competitor tool
Technographics
+25
Multiple return visits
Website
+15

Stop guessing. Start knowing.

See how Lead Intelligence identifies your hottest prospects—and exactly what to say to them.

Book a demo