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 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.
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
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What is included in these data models?
What delivery methods are available for this dataset?
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