These articles cover purchase, basket and store visit data for retailers and consumer brands. They explain what transaction level data can show about switching, promotions and trade areas, and where its limits are. Each guide ends with the checks to run on a sample.
In GSDSI's two feeds, category-level purchase signals show which devices bought in a category across retailers. Basket-level signals add unit price, product IAB code and quantity. What each grain can answer, where both stop, and how to choose.
, 11 min read
Cross-shop is five different analyses wearing one name. This guide separates category, brand-switching, banner, channel, and basket co-occurrence cross-shop, shows what each one is for, and explains why a single blended cross-shop score sends brand teams after the wrong fix.
, 10 min read
A lapsed buyer trigger should fire on each buyer's own interpurchase rhythm, not a fixed calendar date. This guide covers the trigger patterns, lapse windows, offer sequencing, and holdout measurement that make reactivation checkable.
, 9 min read
A feed of about 70 million daily devices and about 390 million daily CPG transaction records reads category and channel trends, and a smaller monthly basket feed adds brand and item detail. Both sit alongside first-party POS data rather than replacing it.
, 12 min read
Foot-traffic panels and credit-card panels measure different things. Visits aren't transactions, and transactions aren't visits. Here's the working decision framework for CPG and retail buyers.
, 12 min read
What actually powers retail media networks: first-party purchase data, loyalty signals, MAID and CTV joins, and the measurement layer making it monetizable.
, 12 min read
SKU-level purchase data gives consumer packaged goods brands visibility into brand switching, promo lift, and basket composition that panel data alone cannot provide.
, 12 min read
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