This dataset provides purchase-driven, geo-targeted audience segments derived from anonymized store-level CPG sales across multiple countries. It maps consumer buying behavior to postal and local areas, producing hundreds of region-specific segments for categories, brands, and sub-brands. Segments use local market taxonomies and purchase signals from retailer networks to identify where consumers are buying or likely to buy specific products. Records include geographic area identifiers, category and brand affinities, and segmentation metadata. The dataset supports spatial workflows such as mapping and proximity analysis, regional targeting, market sizing, media planning, and campaign measurement, and is compatible with audience activation through partner platforms.

Key attributes include:

• Geo-linked audience segments defined at postal and neighborhood scales

• Purchase-based signals reflecting actual store-level sales activity

• Category, brand, and sub-brand affinity indicators

• Local market taxonomies and region-specific segment definitions

• Activation-ready segment metadata for programmatic use

Marketers, retailers, and manufacturers gain precise, purchase-based audience targeting to improve media ROI, optimize local campaigns, and prioritize market expansion based on actual sales behavior.