At OpenFunnel we've captured signals over the last year across dozens of domains.
We now have true ground truth to test against.
Mapping Salesforce historical opportunity stages (prospect to closed won) for customer CRMs and layering OpenFunnel signals on top to create a comprehensive timeline view.
Detecting patterns and clusters to create "OpenFunnel Primitives" that capture "true actionable insight"
An example abstraction: "Account looking to reduce LLM costs + ICP at that company heavily consuming competitor content" = high likelihood to accelerate deal
Building many such patterns that predict the time to act:
- Deal Acceleration Opportunity
- Buying windows
- Competitor active deals
- Renewals spotting
Intent signals are all the rage.
Surprising no one's taken an open statistical / evals based approach to modelling which signals actually lead to closed deals.