Case Study: Embrace Home Loans doubles its return on marketing investment with DataRobot Zepl

Embrace Home Loans Doubles Its Return on Marketing Investment (ROMI) with DataRobot Zepl

Embrace Home Loans, a national mortgage lender, faced the challenge of maximizing marketing spend and increasing revenue across digital and direct-mail channels while scoring campaign-scale datasets (about 43 million records) and managing hundreds of Jupyter notebooks. To address this, Embrace turned to DataRobot and its product DataRobot Zepl—recommended by Snowflake—to streamline modeling and real-time scoring.

DataRobot Zepl integrated with Snowflake to run SQL on millions of rows, build complex models stored as Python objects, and expose them via APIs for real-time scoring and customized offers. The DataRobot solution reduced cycle times, improved close rates, unified sales and marketing workflows, and at peak doubled Embrace’s return on marketing investment (ROMI), with consistently higher ROMI thereafter.

Embrace Home Loans

Keith Portman

Chief Analytics Officer