Explorium
29 Case Studies
A Explorium Case Study
Fortune 500 CPG Firm needed a faster, more reliable way to find net-new businesses before they opened, prioritize high-value prospects for a large field sales force, and identify former or inactive customers with reactivation potential. To address these challenges the firm engaged Explorium and its predictive prospecting solution, leveraging Explorium’s extensive data access and attributes to enrich internal records and focus outreach.
Explorium analyzed internal data, created lookalikes, applied robust filters and built three machine-learning models to score businesses by conversion likelihood, expected sales volume, and churn risk—narrowing ~800k candidates to 120k high-scoring targets. Explorium’s approach delivered measurable impact: a 43% increase in net-new customer conversions, a 20% gain in existing and former accounts, improved field-sales efficiency, and successful reactivation of profitable customers.
Fortune 500 CPG Firm