Download PDF
DataRobot > Case Studies > Embrace Home Loans Doubles Its Return on Marketing Investment (ROMI) with DataRobot Zepl
DataRobot Logo

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

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Analytics & Modeling - Predictive Analytics
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Sales & Marketing
Use Cases
  • Predictive Quality Analytics
  • Demand Planning & Forecasting
Services
  • Data Science Services
The Challenge
Embrace Home Loans, a prominent mortgage lender licensed in all 50 states and the District of Columbia, sought to optimize its marketing spend across its digital and direct mail channels. The company wanted to maximize marketing spend and increase revenue across all marketing channels. The challenge was to do so across the scale of Embrace’s operations, which was a significant task. The company needed a solution that could manage hundreds of Jupyter notebooks and run SQL queries on millions of rows of data. The solution also needed to ensure the security of Embrace’s customer data, which included risk-based and standards-based security protocols to protect all data.
About The Customer
Embrace Home Loans is a prominent mortgage lender that provides borrowers and financial institutions with an exceptional mortgage experience. Founded in 1983 and based in Middletown, Rhode Island, the company is licensed in all 50 states and the District of Columbia. Embrace has been recognized seven times as one of the Best Medium-sized Companies to Work for in America by Fortune and five times by Inc. The company has also been recognized fourteen times as one of the Best Places to Work in Rhode Island, as the Most Community Involved Company in Rhode Island, and with the Leadership Excellence Award by Providence Business News.
The Solution
Embrace Home Loans used DataRobot Zepl to run real-time queries on its Snowflake data. DataRobot Zepl allowed the team to run SQL queries on millions of rows and cut steps in its process. They could build complex models, store them as an object in Python, and then call those objects to score files from Snowflake. The combination of DataRobot Zepl and Snowflake allowed Embrace’s team to develop precise and evolving augmented intelligence models to get an optimized list with tailored, pre-approved offers. The lender does this across millions of records with more than 1,500 features. Embrace develops models based on samples built by a credit bureau, appends data elements, and creates dependent variables. When files come in, Embrace scores and optimizes them, de-identifies names, purchases data, and then sends the names to their execution partners. Customer data is loaded into the Snowflake contact history, allowing them to track conversions.
Operational Impact
  • Embrace Home Loans was able to optimize its marketing spend across its digital and direct mail channels.
  • The company was able to run real-time queries on its Snowflake data using DataRobot Zepl.
  • Embrace was able to develop precise and evolving augmented intelligence models to get an optimized list with tailored, pre-approved offers.
Quantitative Benefit
  • The company’s return on marketing investment (ROMI) has, at its peak, reached double that of before.
  • Even as the market has cooled, Embrace still sees consistently higher ROMI than before.
  • The company has decreased cycle times and increased close rates.

Related Case Studies.

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.