Evidence Density Threshold

Evidence Density Threshold is the minimum quantity of independent, timestamped deal signals (meeting transcripts, email threads, CRM field changes, ecosystem overlaps) required before a forecast or risk call deserves to be trusted. Below the threshold, AI deal platforms are guessing with confident language; above it, they can name the specific stakeholder, objection, or silence that moved the deal. For agencies, this reframes the retainer: you are not selling dashboards, you are selling the instrumentation that gets a client's pipeline past the threshold. A concrete example sits in Backstory, which answers each deal's risk in plain language backed by captured email, call, and chat activity rather than a bare score, while Ebsta scores relationship strength from conversation capture and writes it back to Salesforce or HubSpot. When a client's CRM holds 40 open opportunities but only 9 have three or more logged touchpoints, the honest deliverable is a coverage audit, not a forecast.