Factual Data vs Point Predictive
Verification & Data head-to-head · axis by axis, same rubric for both
CBC Companies
Verification & Data
| Axis | Factual Data | Point Predictive |
|---|---|---|
| Production impact | 3.6 | 2.3 |
| Functionality & depth | 3.8 | 2.3 |
| Integrations & ecosystem | 4.6 | 1.6 |
| Adoption & support | 3.8 | 2.1 |
| Return on spend | 3.8 | 2.1 |
| Overall | 3.9 | 2.1 |
Factual Data wins 5 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Factual Data and Point Predictive are both scored in Verification & Data. Factual Data carries an overall of 3.9, Point Predictive an overall of 2.1. The widest gap between them is Integrations and ecosystem, at 3 of a point. That axis measures how well it reaches the rest of the stack. Factual Data takes it, 4.6 to 1.6.
Where the five axes separate
On Integrations and ecosystem the record favours Factual Data, 4.6 against 1.6. On Return on spend the record favours Factual Data, 3.8 against 2.1. On Adoption and support the record favours Factual Data, 3.8 against 2.1.
Pricing posture
Factual Data does not publish pricing. Its listed model is quote only. Point Predictive does not publish pricing. Its listed model is quote only.
Deployment and who each one targets
Deployment for Factual Data: Cloud, delivered through LOS and point of sale integrations. Deployment for Point Predictive: Cloud, delivery mechanism not published. Segment focus for Factual Data: Lenders of any size that need credit and verification data delivered into an uncommon. Segment focus for Point Predictive: Higher-volume lenders using fraud scores to triage underwriting, with auto lending as the company’s core. The two entries name different buyers.
What each record credits
Factual Data: Publishes over 250 integrations, including thirty-plus LOS platforms and a POS list. Point Predictive: MortgagePass rank-orders applications by fraud propensity, enabling risk-based triage over binary flags.
What each record holds against them
Factual Data: No pricing published anywhere on the site. Point Predictive: No origination system or point of sale integration is named anywhere.
Which one fits which shop
Best fit for Factual Data: A lender whose origination system few competitors have integrated. Best fit for Point Predictive: Lenders with enough application volume for score-based triage to change staffing.
The short answer
Factual Data finishes ahead on the published rubric, 3.9 to 2.1. The margin comes mostly from Integrations and ecosystem. Same rubric, same weights, no sponsorships.
Both tools are scored on the same weighted rubric, production impact carries the most weight. Comparisons are never sponsored. Disclosure →