Case Study: Leading Retailer Company achieves a unified omnichannel customer view and boosted CLV with BlueConic

How a retail company uses our advanced AI models to predict and analyze shopper behavior

Leading Retailer Company, an apparel and fashion retailer with 13 U.S. stores and an ecommerce storefront, faced fragmented first‑party customer and transaction data across Retail Pro, Shopify, and Klaviyo. To authenticate in‑store emails via a new loyalty program and build a unified omnichannel view for personalized experiences, they engaged BlueConic.

BlueConic unified customer profiles and used its AI Workbench to calculate individual CLV and RFM scores, enabling real‑time segments like “champions,” “potential loyalists,” and “needs attention” for VIP in‑store outreach and targeted advertising. As a result, the retailer can generate CLV reports in under three hours, optimize ad spend by targeting top quartiles and suppressing low‑value lookalikes, and allocate marketing budget and inventory by store‑level CLV — delivering measurable efficiency and improved conversion focus.