Case Study: Large Clothing Retailer achieves up to 45% increase in customer spend with Experian's Custom Analytics

Large Clothing Retailer - Customer Case Study

A large clothing retailer wanted to measure the incremental value of its Loyalty (Rewards) Program and identify which customers to prioritize for marketing spend. The challenge was to distinguish high-value customers within both the Rewards and non-Rewards populations so the retailer could allocate budget and channels more efficiently.

Experian’s Custom Analytics combined retailer and Experian demographic data to build “High Value” models predicting a customer’s likelihood of being high value in the Rewards and non-Rewards groups, scoring each into Low/Medium/High and mapping them on a Reward vs Non-Reward segment matrix. By directing budget and preferred channels by segment, the retailer lifted customer spend from +10% to +45% and achieved stronger engagement (for example, the High Rewards/Low Non-Rewards segment saw a 46% YoY spend increase with high email and mobile engagement).