GSDSI's CPG Feed aggregates ~390M purchase signals per day from a panel of ~71.5M daily active users spanning grocery, household, health, and personal care categories. The feed powers market share analysis, brand switching studies, promotional lift measurement, and consumer segmentation for CPG brands, retailers, and financial analysts working with SKU-level resolution.
Product Answer Summary
Product category: Digital, Media & Behavioral Feeds
What it contains: SKU-level purchases, Category spend, Brand & retailer breakdowns, Promotional response data
Delivery formats: CSV, JSON, Parquet, SQL
Who uses it: enterprise data buyers evaluating activation, measurement, analytics, enrichment, risk, or research workflows.
Key Features
Panel-based methodology
Weekly & monthly aggregations
Projection-ready weights
40+ CPG categories
Feed Specifications
Record scale: ~71.5M DAUs, ~390M purchase signals/day
GSDSI's CPG Feed is built from panel-based transaction data capturing SKU-level purchases across grocery, mass merchandise, drug store, convenience, and club channels. Each transaction record includes the product purchased (brand, category, size, variant), retailer, price paid, promotional flag, and purchase date. The panel is demographically balanced and weighted to project to national and regional market-level estimates. Data is delivered in weekly and monthly aggregations, with historical depth going back multiple years for trend analysis and seasonal pattern detection. Over 40 CPG categories are covered, spanning food and beverage, household cleaning, personal care, health and wellness, and pet care segments.
Common Applications for CPG Data
Brand managers use CPG purchase data to track market share trends at the category, brand, and SKU level, spotting competitive threats and growth opportunities in near real time. Trade marketing teams measure promotional lift by comparing purchase velocity during promotional periods against baseline sales, quantifying the incremental volume generated by each tactic. Financial analysts integrate CPG transaction signals into alternative data models, using brand-level purchase trends as revenue proxies for publicly traded consumer goods companies. Retail strategists analyze brand switching behavior (which products consumers substitute when their preferred brand is unavailable) to optimize assortment planning and shelf space allocation across store formats.
How buyers diligence CPG purchase signals
CPG buyers evaluate panel composition, SKU normalization, projection methodology, promotion flags, and whether the feed separates category growth from brand switching.
Product-specific diligence checks
Review panel balance, weighting, and retailer/category coverage.
Validate SKU-to-brand taxonomy and pack-size handling.
Test known seasonal periods for signal stability.
Define SKU-level, aggregate, or clean-room delivery scope.