CPG & Consumer Goods

Overview

Gain visibility into where consumers shop, what drives purchase decisions, and how your brand performs at the retail shelf. GSDSI helps CPG brands, distributors, and category managers optimize distribution strategy, measure promotional lift, and understand competitive share with real-world behavioral data.

GSDSI (Global Source Data Solutions Inc.) serves consumer packaged goods brands, distributors, and category managers with a shopper-journey stack anchored by ~71.5M daily active users generating ~390M purchase signals per day across 40+ CPG categories: complemented by device-level foot-traffic signals, 23M+ U.S. POIs, and the Euclidean Feed for CTV-to-purchase closed-loop attribution. Consumer packaged goods brands operate in one of the most competitive retail environments, where shelf space is finite, brand loyalty is declining, and the path to purchase increasingly spans digital and physical channels. GSDSI gives CPG companies the data infrastructure to understand the full shopper journey, from CTV ad exposure and online product research to in-store visits and actual purchase events. Our CPG Feed delivers SKU-level transaction data across 40+ product categories, so brand managers can track market share trends, measure promotional lift, and analyze brand-switching behavior at the retailer and channel level. When combined with our location intelligence products, CPG teams can answer questions that purchase data alone cannot: Which retailers are gaining or losing foot traffic? How does a competitor's store opening affect visitation to your key retail partners? Are consumers who see your CTV ads more likely to visit stores that carry your products? The Euclidean Feed connects these signals by deterministically linking CTV ad exposure to store visits and product purchases, providing true closed-loop measurement for media investment. Category managers use these integrated insights to optimize trade promotion spending, negotiate shelf space allocation with data-backed performance evidence, and identify high-potential distribution expansion opportunities based on actual consumer demand patterns.