Case Study: a fast-fashion retailer achieves a unified omnichannel customer view with BlueConic

Fast-fashion Retailer creates CLV reports in under 3 hours with BlueConic

A fast-fashion retailer with both ecommerce and brick-and-mortar stores needed to compete with much larger retail giants by building direct customer relationships. Their challenge was unifying fragmented customer data from sources like Retail Pro, Shopify, and Klaviyo to gain a centralized view of customer behaviors across channels. They turned to the customer data platform BlueConic to solve this.

Using BlueConic to unify first-party data and create individual customer profiles, the retailer leveraged AI Workbench to calculate CLV and RFM scores. This enabled them to build high-value customer segments, optimize ad spend by targeting lookalike audiences, and arm store associates with data for VIP treatment. The solution helped them justify marketing budgets based on location CLV, improve supply chain decisions, and create dashboards for stakeholders in under three hours.