A US Membership Business, Powered by One Customer View.
Context
A United States membership brand runs prize draws alongside an online store. Years of growth left customer data spread across sign-ups, prize entries, store orders, email, and on-site behaviour, with no reliable view across the full customer relationship.
Decision bottleneck
The team could not reliably identify which visitor was likely to buy, which member was at risk of lapsing, or where retention effort would have the greatest value. Decisions depended on manual exports and incomplete customer histories.
System built
The data foundation came first. Sign-ups, prize entries, store orders, email, and site behaviour were resolved into one governed customer graph, creating a consistent identity across every source system.
Action shipped
Governed AI workflows were then deployed across store conversion and retention. They prepare personalised offers, recommendations, and win-back actions, with operators controlling what reaches the customer.
Measured result
The business moved from periodic, manual analysis to daily customer decisions across conversion, retention, and lifetime value. Each action now starts from the same governed customer view.
What became reusable
The customer graph now powers every play across the store and the membership. Conversion, retention, and lifetime value all read from one place, so the next use case starts from a foundation, not a blank page.