Propensity Scores
Nationwide 6-month predictive property propensity scores
Nationwide propensity scores to inform marketing, operations, and risk strategies
Cotality’s Propensity Score models use advanced machine learning and 800+ predictive variables to estimate the likelihood of key property and customer actions over the next six months across both homeowner and renter segments.
Built on Cotality's AI-ready datasets — including public records, sales transactions, local market trends, and valuation and rental data — these scores help teams prioritize outreach, personalize experiences, strengthen attribution, forecast demand, and support risk-based decisions with unmatched precision.
Key product attributes
- CLIP®, FIPS code, address, owner name, last market sale amount
- Propensity of the household to apply for a new purchase loan (in the next 6 months)
- Propensity of the property to be listed for sale (in the next 6 months)
- Propensity of the property to be listed for rent (in the next 6 months)
- Propensity that an equity line will open for the property (in the next 6 months)
- Propensity that a property will be the subject of a refinance loan (closed, in the next 6 months)
- AI-ready data (delivered with semantic companion files)
Pricing varies based on geography and delivery frequency.
FAQ
What are some of the key use cases for Propensity Scores?
What is included in these data models?
What delivery methods are available for this dataset?
Can these scores be ingested programmatically by AI agents?
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