Predict deal momentum from document interactions, not just opens

Predict deal momentum from document interactions, not just opens targets a $6.0B = 1,000,000 sales & legal teams x $6K ACV (document analytics + engagement scoring across SMBs & mid-market) total addressable market with medium saturation and a year-over-year growth rate of 12% annual growth in sales-engagement and document analytics adoption.

Key trends driving demand: AI-powered signal extraction -- models can infer intent from subtle, temporal document behaviors (revisits, dwell patterns) enabling richer engagement signals than simple opens.; Privacy-first tracking -- pixel-blocking and stricter email privacy push vendors toward document-embedded, consent-based telemetry that still yields usable features.; Workflow automation -- CRMs and CLMs increasingly accept third-party integrations, allowing automated follow-ups and playbook triggers from new momentum signals.; Shift to outcome metrics -- Sales teams demand forward-looking indicators (momentum/likelihood) to prioritize outreach instead of relying on lagging pipe signals..