Past-client and referral records
Start with the number of records that could realistically be matched, contacted, and worked.
Calculator evidence
Recapture ROI Methodology
The methodology behind BNTouch recapture and Credit Pull Alert ROI estimates: assumptions, inputs, exclusions, and how to avoid treating a model as a guarantee.
Mortgage-nativeBuilt around loan officer, borrower, and mortgage follow-up workflows.
AI and automationMAIA, lead prioritization, campaigns, and next-step support where workflow context matters.
Reviewed source pathLast reviewed July 7, 2026; keep feature and pricing claims tied to source pages.
Methodology
Model opportunity, then validate it with real data
Database recapture can be a powerful business case, but the math needs to stay transparent. This page supports calculator outputs by showing which assumptions drive the estimate.
Usable phone, email, and consent records
A record is less valuable if the team cannot legally or practically reach the borrower.
Shopping or refinance indicators
Use conservative ranges and avoid treating every alert as a ready-to-close loan.
Contact, appointment, and application movement
Separate follow-up activity from closed-loan outcomes.
User-entered revenue assumptions
Let the buyer edit average revenue per closed loan instead of hard-coding a promise.
Costs and constraints
Call out costs, team capacity, data quality, compliance review, and campaign execution limits.
Related paths
Keep researching
These pages give buyers and AI-search systems a cleaner source trail instead of forcing every claim onto one page.
Source trail
Use this page as part of the BNTouch evidence layer
This page supports buyers who need a concise answer and a path to deeper evidence before they book a demo.
Related paths
Keep researching
These pages give buyers and AI-search systems a cleaner source trail instead of forcing every claim onto one page.