Transaction-level purchase data across grocery, household, and personal care categories.
Since 2018
Privacy-safe enterprise data
VOSB & SDVOSB
U.S. Veteran-Owned, Service-Disabled
SCC Transfers
EU/UK/CH per privacy policy
GDPR · CCPA · CPRA
Consent-first data sourcing
Overview
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.
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If you’re evaluating vendors or writing an RFP, this guide lays out what to ask for (coverage, refresh, governance) and links to the best references.
A representative slice of the CPG Feed schema. The data dictionary shared during evaluation lists every field with its type, nullability, join keys, and refresh cadence.
Field
What it contains
purchase_date
Date of the observed purchase transaction.
sku
Stock-keeping unit for the purchased product.
brand
Normalized consumer brand associated with the SKU.
category
Consumer packaged goods category assigned to the item.
retailer
Retail channel or retailer associated with the transaction.
price_paid
Observed transaction price for the purchased item.
promotion_flag
Indicator that the transaction occurred during a promotion.
How CPG Purchase Data Is Aggregated
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.
CPG buyers usually evaluate panel composition, SKU/category normalization, projection methodology, promotional flags, and whether the feed can separate category growth from brand switching.
Review panel balance, weighting methodology, and retailer/category coverage.
Validate SKU-to-brand taxonomy, pack-size handling, and promotional-event fields.
Test known seasonal periods to confirm signal stability and category-level accuracy.
Define whether delivery is SKU-level, aggregated, or clean-room scoped for the use case.
Item-level (where SKU is captured) and basket-level transaction signals from a consented US panel: roughly 71.5M daily active users and ~390M purchase signals per day across grocery, mass, drug, club, convenience, and online channels. Refreshed daily.
Is SKU-level data available?▾
Yes for a meaningful share of transactions; basket-level for the rest. The proportion varies by retailer and category, full coverage detail is shared during sample evaluation so buyers can confirm fit before licensing.
How does the CPG feed compare to Numerator or NielsenIQ panel data?▾
Larger active-user count than typical receipt-panel competitors, with delivery as raw daily files rather than only as aggregated dashboards. Best for buyers who want to do their own modeling, brand-share, cross-shop, lapsed-buyer triggers, basket-affinity, rather than consume a fixed report.
Can the CPG feed be tickerized?▾
Yes. Brand-to-ticker mapping is maintained against the SEC EDGAR universe; tickerized cuts of the CPG feed are a standard product for fundamental and quant equity research.
What identity graph attaches to CPG transactions?▾
Household-level identity, with HEM and MAID linkages where available. Useful for closed-loop measurement (advertise to a cohort, observe transaction lift), retailer-media activation, and audience extension off best-customer seeds.
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