Case Study: Large Online Retailer boosts customer segmentation and response rates with Celebrus

Large Online Retailer - Customer Case Study

A large online retailer faced the challenge of unifying customer data across all its channels to deliver seamless, personalized experiences. With a massive volume of online data, they needed to better understand evolving customer behavior to increase the ROI of their marketing efforts. They partnered with Celebrus to manage the capture of all digital customer interactions.

Celebrus captured detailed online behavior data, which was fed into the retailer's Teradata warehouse to inform customer segmentation and predictive modeling. Using Celebrus data, the retailer developed highly accurate "likelihood to order" models and tailored its marketing strategies. This resulted in a 14% increase in response rates, a 9% increase in demand per response, and a 3.7% improvement in overall revenue.