Case Study: Offrs.com predicts 70% of future home listings and democratizes inventory access with ATTOM Data Solutions

Offrs.com - Customer Case Study

Offrs.com, a self-funded startup launched in 2013, helps real estate agents identify homes likely to be listed before homeowners even know they will sell. Facing disruption from discount brokerages and iBuyer models, Offrs.com built a predictive analytics and marketing platform that leverages property and neighborhood data from ATTOM to give agents early access to future listings.

By combining ATTOM data with more than 25 other data sources and machine‑learning, Offrs.com implemented a geography‑based scoring model and turnkey marketing templates that made predictive inventory accessible and affordable to agents. The solution has driven rapid growth—more than 10,000 agents use the platform—and the company reports its model can predict roughly 70% of U.S. property listings in advance, a measurable impact that helps agents reach sellers first.

Offrs.com

Rich Swier

Co-founder