Revenueable.ai
Built a real-time visitor identification and intent scoring engine.
Context
B2B marketing teams were flying blind. 98% of traffic remained anonymous, and CRM data was disconnected from web behavior.
- Zero-latency requirement (<50ms response)
- GDPR/CCPA compliance strictness
- Integration with HubSpot/Salesforce APIs
The Core Problem
The core problem wasn't 'analytics'—it was action. Marketing tools showed charts but didn't trigger revenue actions in real-time.
System Architecture
Identity Resolution Graph
Serverless edge functions matching IP/Device fingerprints to corporate domains.
Intent Scoring Model
Real-time vector scoring of user behavior against ideal customer profiles.
Signal Distribution Bus
Event-driven architecture routing signals to Slack, CRM, and ad platforms instantly.
System Logic Flow
Visitor lands → Edge function executes fingerprinting.
Identity resolved against enrichment database (Clearbit/Apollo).
Behavioral score calculated in real-time.
High-intent signal triggers webhook to Sales Ops.
Before
- × Anonymous traffic ignored
- × Retargeting everyone equally
- × Sales waiting 24hrs for reports
- × Generic landing pages
After
- ✓ Companies identified in real-time
- ✓ High-intent accounts prioritized
- ✓ Sales alerted instantly
- ✓ Dynamic content personalization
Learnings
"Speed is a feature in data products."
"Enrichment data decays fast; requires constant cleaning."
"Sales teams need 'less' data, but 'better' timing."