Case Study: DTC Retailers achieve 33% higher repeat conversion rates with Explorium

Increased Conversion Rates Using Better Data For Retargeting

DTC Retailers, a large direct-to-consumer eCommerce company, struggled with manual predictive retargeting that caused missed opportunities and inefficient marketing budgets. They turned to Explorium and its Enrichment Catalog to augment their historic data and automate identification of high-value users and the best channels to reach them.

Explorium built a machine-learning model that combined internal data with external signals (zip/IP location, geospatial financial indicators, and time-series behavioral data) to score and prioritize customers most likely to become repeat shoppers. After automating retargeting with Explorium, the retailer saw a 33% increase in conversion rates for repeat sales, smarter budgeting and prioritization of marketing spend, and improved dynamic site customization.