Case Study: Marketing Firm achieves 18% more repeat buyers and cuts cost-per-lead from $102 to $75 with Explorium

Marketing Firm - Customer Case Study

Marketing Firm faced difficulty targeting and prioritizing leads because its internal data only gave a limited view of which customers would deliver high lifetime value, leading to sub‑optimal marketing spend. To solve this, the company connected its internal datasets to Explorium and built a repeat customer lifetime value prediction model and LTV predictor.

Explorium enriched the firm’s data with signals like purchase history, online behavior, social media sentiment, alternative credit scores and demographic indicators, enabling more accurate repeat‑buyer forecasting and buyer segmentation. As a result, Marketing Firm increased repeat buyers by 18%, cut cost per lead from $102 to $75, and can now route customers to different marketing and nurture tracks based on predicted LTV.