Propensity Scores

**Overview**
Propensity Scores deliver nationwide property propensity score data with 6-month predictive analytics.

Using the power of machine learning techniques, models are tailored for homeowner and renter segments with over 800 predictive variables to yield accurate results and have proven to be highly predictive through rigorous tests in the market.

Propensity Score models use Cotality data sets, including public record data, sales transactions, local market trends, valuation and rental data.

Product Attributes:
- Likelihood of any of the following occurrences:
- 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 six months)
- Propensity that a property will be the subject of a refinance loan (closed, in the next six months)

**Use cases**
- **Customer Acquisition** - Propensity Scores can be used by real estate businesses and financial institutions to identify potential customers who are likely to engage in various activities like applying for a new purchase loan, listing property for sale or rent, opening an equity line, or refinancing a loan. This can assist in targeted marketing efforts and effective customer acquisition strategies.
- **Risk Analysis** - By providing predictive analytics for various activities related to property transactions, Propensity Scores can be used to assess the risk associated with a particular property or customer. This can be particularly useful for financial institutions in mitigating risk in lending activities.
- **Market Analysis** - Propensity Scores can be used to analyze trends and behaviors in the real estate market. Businesses can gain insights into potential shifts in the market, such as a surge in property listings for sale or rent, or an increase in refinance activities.
- **Attribution Analysis** - By understanding the factors contributing to the likelihood of specific behaviors, businesses can refine their customer profiles and improve their marketing and sales strategies. Propensity Scores can help in understanding which factors are most influential in driving property-related decisions.
- **Personalize Customer Experiences** - Understanding the likelihood of a customer's future actions can help businesses tailor their services and communications to meet individual needs. For instance, if a customer has a high propensity score for listing a property for sale, a real estate agent can provide resources and services related to selling a property.
- **Demand Forecasting** - Propensity Scores can be used to predict demand for various property-related services. For instance, a high propensity for customers to apply for new purchase loans might signal a potential increase in demand for lending services.

**Product details**
- Datasets represented include PROPENSITY_SCORE_V1_VIEW.
- Sample fields include CLIP, FIPS_CODE, SITUS_STREET_ADDRESS, SITUS_CITY, SITUS_STATE, SITUS_ZIP_CODE, NUMBER_OF_BUILDINGS, OWNER_1_FULL_NAME, OWNER_2_FULL_NAME, LAST_MARKET_SALE_AMOUNT, LIST_FOR_SALE_MODEL_PROPENSITY_SCORE, LIST_FOR_SALE_MODEL_PROPENSITY_SCORE_RUN_DATE, LIST_TO_RENT_MODEL_PROPENSITY_SCORE and LIST_TO_RENT_MODEL_PROPENSITY_SCORE_RUN_DATE.