Behavioral risk and intent, fused into a single score.
Consumer finance, wealth management, and lending operators use predictive intelligence to fuse behavioral risk indicators with intent signals. The combined score concentrates top-of-funnel spend on the cohort most likely to convert and least likely to charge off.
What makes Finance different.
Behavioral risk + intent
Risk signals layered with intent identify high-probability prospects who also pass underwriting — the combination matters more than either alone.
Liquidity-event detection
Wealth-event signals (inheritance, exits, RSU vesting) surface in-market wealth-management prospects.
Tier-aware credit modeling
Prime, near-prime, and subprime each have distinct behavioral profiles. Models are tier-segmented.
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
wealth management lead generation
consumer lending intent data
fintech buyer signals
investor prospecting data
behavioral risk scoring
Common questions
Is this compliant with FCRA and ECOA?+
Yes. We operate as a marketing intelligence layer; decisioning use cases are handled with the appropriate consumer reporting frameworks via approved partners.
Can you integrate with our underwriting?+
Yes. Real-time scoring API, batch enrichment, and direct CRM/LOS integrations are supported.
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.