AI Outbound Engine
A go-to-market system that makes outbound feel like inbound, targeting 2x efficiency
The sales development team was spending too much time on manual research and generic outreach. I designed a scalable go-to-market engine that combines three capabilities: first-party intent signals (so reps can see and warm accounts without manual research), fully automated cadence management (every outreach personalized by person, not templated), and signal-based outreach where outreach is triggered by prospect behavior instead of a set cadence. The result: reps spend 70%+ of their time actually interacting with prospects instead of researching them, targeting a 2x increase in efficiency.
Architecture
Features
First-Party Intent
Reps can see and warm accounts on their time using first-party intent signals, eliminating manual prospect research
Cadence Automation
All cadences are 100% automated with every outreach highly personalized by person, role, and industry
Signal-Based Outreach
Outreach depends on the signals given by the prospect instead of a set cadence, keeping engagement relevant and timely
Self-Improving Engine
Feeds conversion data back into the engine to continuously refine target audiences and optimize who gets outreach