Building a Signal-Driven Outbound System to Identify High-Intent Prospects in Real Time
Most outbound still starts with static lead lists. But companies don’t actually buy randomly — they enter buying windows. For example: funding → hiring SDRs → GTM experimentation → tech stack installs. That sequence usually signals a company preparing to scale revenue. I’ve been experimenting with a system that detects those signals in real time and builds a high-intent prospect list automatically. The pipeline roughly looks like: signal ingestion → signal intelligence → intent scoring → AI research → personalized outreach. Instead of scraping random leads, the system prioritizes companies that are statistically more likely to buy. Curious how others here are approaching signal-driven outbound. If anyone is exploring similar GTM infrastructure, I’d love to compare architectures.