Digital Shelf Analytics to Dominate Every Online Shelf

Digital shelf analytics (DSA) is the continuous measurement of how your products appear and perform across every retailer and marketplace that sells them — search rank, price, availability, content accuracy, ratings, and reviews — captured per listing, per retailer, and per point in time. Where a store manager once walked the aisle to check facings and stock, digital shelf analytics does the same across hundreds of online storefronts at once and turns what it finds into a data feed you can act on.

A single observation is one metric, for one product, on one retailer, at one moment. Repeated on a fixed cadence across your assortment, those observations become a time series — the raw material for share of search, share of shelf, out-of-stock trends, and MAP compliance. The difference between usable digital shelf data and a pile of scraped numbers is normalization: the same product identified across retailers that name it differently, list price separated from promotion, and a timestamp on every row.