Amperity
38 Case Studies
A Amperity Case Study
Large Consumer Brand Company needed to merge two distinct loyalty databases after acquiring another brand, but the systems had different formats and no common keys for matching customers. They engaged Amperity to perform customer data unification using machine-learning–based probabilistic matching and ongoing identity resolution to determine which customers had single or dual memberships.
Amperity integrated the databases in a matter of weeks and identified 169.4K dual members—2.3x more matches than a prior top-tier consulting firm (72.2K)—while delivering continuously updated results. Those insights powered monthly, targeted marketing campaigns and personalized incentives to transfer or combine memberships, enabling more accurate outreach, fresher data over time, and accelerated guest-base growth.
Large Consumer Brand Company