Case Study: Large Retailing Company maximizes sales retention and optimizes store-closure decisions with Applied Predictive Technologies' Test & Learn®

Leveraging APT Test & Learn to Make the Most of Your Store Closings

A large, multi-hundred-store retailer faced uncertainty after closing several locations: the company needed to know whether lost in‑store sales would shift online or whether reduced brick‑and‑mortar presence would depress overall sales in affected markets. Accurately predicting which closures would drive lost revenue and which customers could be retained was critical to making optimal closure decisions.

Using APT Test & Learn®, the retailer first compared online and in‑store transaction sizes, then analyzed recent closures as a natural experiment to quantify post‑closure online sales retention. Segmented results showed retention differences by product category and customer attributes, enabling the retailer to prioritize which stores to close and to target retention marketing to the customers and categories most likely to respond—driving measurable sales improvement.