Case Study: Likely.AI achieves precise seller-intent predictions and high-value lead generation with ATTOM Data Solutions

A ATTOM Case Study

Preview of the Likely.AI Case Study

Predicting Intent in Real Estate with Data-Powered AI

Likely.AI is an AI platform for real estate that set out to predict which homeowners are likely to sell—turning broad property lists into high‑value leads. To build and validate its deep‑learning models, Likely.AI licensed ATTOM public-record property data (coverage on 155 million properties) plus additional ATTOM datasets, using that data to feed predictive signals the industry lacked.

Using ATTOM data, Likely.AI trained deep neural networks to score every U.S. property for near‑term sale likelihood, narrowing lists of 100,000 homes to roughly 1,000 high‑confidence opportunities. The ATTOM-powered solution delivered measurable results in beta (10 leads/week per ZIP), with real-world outcomes such as door knocks and cold calls converting to listings; Likely.AI also cited ATTOM’s data quality, unique property IDs, pricing and fast support as key factors in achieving higher lead accuracy and faster time to market.


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Likely.AI

Brad McDaniel

Chief Executive Officer and co-founder


ATTOM

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