Software switching intent and buying-committee acceleration.
Enterprise SaaS operators use predictive intelligence to identify software-switching intent within target accounts, accelerate the buying committee, and concentrate ABM spend on accounts most likely to convert in-quarter.
What makes B2B different.
Account-level switching intent
Behavioral signals from across the buying committee, resolved to the account level.
Committee resolution
Identification of all decision-makers and influencers within the account — median 11 individuals.
Funnel velocity scoring
Probability of conversion within the current quarter, calibrated by account behavior.
Decay, velocity, and cost — measured.
Per-vertical curves derived from the platform's calibrated model output. Industry averages overlaid for reference.
Hours since first intent signal
Days from first contact
Traditional vs. predictive within the vertical
Inside a deployment
Mid-market lender lifts ROAS 3.1x with behavioral risk + intent overlay
Behavioral risk scoring integrated with intent signals produced cleaner top-of-funnel for a consumer lender. The combined model reduced underwriting waste 38% and lifted return on ad spend 3.1x within two quarters.
Supporting research & guides
abm intent data
saas switching signals
enterprise buying committee identification
in quarter conversion modeling
Common questions
How does this integrate with our ABM and CRM stack?+
Native integrations with Salesforce, HubSpot, Marketo, and 6sense; webhook delivery for real-time signal flows.
Predictive intelligence · enterprise onboarding
Move from list-buying to probability-buying.
Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.