The brand used Amperity to resolve 20.1 million records into 7.4 million unique customers. It then built Customer 360 with more than 75 custom attributes for analysis, segmentation, and personalization.

The company created attributes for each customer's nearest and preferred store. Marketers used those attributes to invite online shoppers to an in-store experience, increasing annual spend 227% and store visits 2.4x among targeted customers.

The retailer used Amperity's predicted customer lifetime value model to identify which customers should receive a mailer. The targeted campaign generated a 17% increase in revenue per customer.

The company found that its top 10% of customers produced 42% of revenue and 25% of all transactions. It also determined that customers who used birthday coupons were 2x more likely to become return shoppers.

The unified data foundation helped the retailer attribute offers to revenue and understand customer behavior across channels. That gave marketers better visibility into how campaigns affected customer value and long-term profitability.

Predictive models need accurate identities, transaction histories, and customer attributes to identify valuable audiences. The luxury brand grounded its predicted CLV and personalized campaigns in resolved Customer 360 data rather than fragmented records.