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

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

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

DataRobot

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics
Applicable Industries	Finance & Insurance
Applicable Functions	Sales & Marketing
Use Cases	Demand Planning & Forecasting Predictive Quality Analytics
Services	Data Science Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Applicable Industries

Finance & Insurance

Applicable Functions

Sales & Marketing

Use Cases

Demand Planning & Forecasting

Predictive Quality Analytics

Services

Data Science Services

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 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.

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.

Impact #1	Embrace Home Loans was able to optimize its marketing spend across its digital and direct mail channels.
Impact #2	The company was able to run real-time queries on its Snowflake data using DataRobot Zepl.
Impact #3	Embrace was able to develop precise and evolving augmented intelligence models to get an optimized list with tailored, pre-approved offers.

Impact #1

Embrace Home Loans was able to optimize its marketing spend across its digital and direct mail channels.

Impact #2

The company was able to run real-time queries on its Snowflake data using DataRobot Zepl.

Impact #3

Embrace was able to develop precise and evolving augmented intelligence models to get an optimized list with tailored, pre-approved offers.

Benefit #1	The company’s return on marketing investment (ROMI) has, at its peak, reached double that of before.
Benefit #2	Even as the market has cooled, Embrace still sees consistently higher ROMI than before.
Benefit #3	The company has decreased cycle times and increased close rates.

Benefit #1

The company’s return on marketing investment (ROMI) has, at its peak, reached double that of before.

Benefit #2

Even as the market has cooled, Embrace still sees consistently higher ROMI than before.

Benefit #3

The company has decreased cycle times and increased close rates.

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Overview

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

Operational Impact

Quantitative Benefit