Case Study: Leading Consumer Goods Firm achieves 43% growth in net new business and 20% gain in existing and former customer accounts with Explorium’s External Data Platform

Drive Smarter Selling Using Enhanced Datasets

Leading Consumer Goods Firm faced a sprawling retail opportunity set—independent grocers, convenience stores, corner shops and petrol stations—and needed to identify and prioritize accounts most likely to convert. To sharpen targeting and territory planning, they connected their data to Explorium’s External Data Platform, seeking net-new leads and better lead-scoring to optimize field sales efforts.

Explorium combined the firm’s internal data with external signals (ratings/reviews, visitor patterns, web data, geospatial and POI information) and built machine learning models to predict conversion likelihood and profitability. The Explorium solution delivered higher-quality leads, improved conversion and reduced churn, driving a 43% growth in net new business and a 20% increase in existing and former customer accounts; the approach was then rolled out across multiple markets with similar results.