Case Study: Sellpoints productizes premarketing in 6 weeks and boosts ad spend ROI to 10:1 with Databricks

Sellpoints - Customer Case Study

Sellpoints is a leading e-commerce sales solutions provider that uses predictive analytics to drive purchases at the point of sale. It needed to productize a new "premarketing" offering but was stalled for six months by infrastructure and machine learning barriers: the platform ingests over 1 billion events per day, prior Spark-on-Hadoop attempts failed due to lack of native Spark support and operational expertise, and the team was burdened by heavy DevOps and costly BI workflows.

By adopting Databricks, Sellpoints built a Spark-based ingest pipeline on AWS in six weeks, gaining self-service cluster management, Spark MLlib for model development, and notebook-driven dashboards. The company productized premarketing, eliminated much of the DevOps overhead, delivered insights faster and at lower cost, and boosted customer ad-spend ROI from roughly 3:1 to 10:1.

SellPoints

Benny Blum

VP of Product & Data