Propensity to ListAlgorithms. Listings. Prospects.
Propensity to List—The Future of Real Estate Prospecting
With ATTOM’s Propensity to List data, real estate agents, mortgage providers, insurers, home service providers, and retailers can reach out to potential clients before their competitors do. Based on a predictive machine-learning model with accuracy and context as key tenets, Propensity to List reveals the likelihood that a residential property will come on the market for sale in the next 6 to 12 months. Data is timely and includes a complete profile of the home, its occupants, and the surrounding neighborhood.
How the Propensity to List Model Works
The propensity to list machine-learning based model incorporates over 300 profile attributes for homes in 95% of zip codes across the United States. The propensity to list predictions are generated through a series of algorithms overlaying the profile attributes, trends, and homeowner information. The prediction engine uses five years of historical data to tune the algorithms and continually report and evaluate the efficacy of the predictions.
ATTOM’s Propensity to List data product—which provides insights into the likelihood that a homeowner may list their property for sale—includes:
- Property Information
- Household Demographic Profiles
- Local Market Information
- Propensity to List Predictions
Other data options can include owner phone numbers and email addresses, which can provide additional opportunities for direct outreach to potential sellers.
How Can You Use ATTOM’s Propensity to List Data?
Identify homes before they come on the market and power up your prospecting. Find and research listing opportunities for better client service.
Create customized financing in advance for properties with a high propensity to list and grab a bigger share of the market.
Curate effective and precision-targeted marketing campaigns based on accurate, predictive Propensity to List data from ATTOM.
Go straight to the people that need you with customized products that meet their insurance needs based on a property’s location and details.
Identify homes for post-move services such as home internet, TV, and other utility services. Meet clients’ needs early and secure their business.
What is Propensity to List?
Propensity to List is the likelihood that a homeowner will list their property in the next 6 to 12 months. A machine-learning-based propensity model predicts future listings based on over 300 profile attribution points for homes for homes in 95% of zip codes across the United States. The resulting data yields a complete profile of the home, its occupants, and the surrounding area.