Article
Why click attribution undercounts store networks.
Platforms optimize on what they can see. For a retailer with stores, that is a small part of the picture.
A regional retailer runs a Meta campaign and a search campaign. Both report conversions: clicks, web sessions, a few online orders. The campaign that wins on cost per click gets more budget next month. Nobody asks whether the people who clicked ever walked into a store.
This is not a platform flaw. Meta and Google optimize toward the events they can observe. A store visit is not one of them unless someone measures it and feeds it back. Until then, the algorithm learns to find people who click, which is a different population from people who come in.
Three symptoms
First, digital budgets drift toward audiences far from your stores, because clicks are cheaper there. Second, offline media that drives visits but no clicks looks worse every quarter and gets cut. Third, the board hears about conversions it cannot find in the sales line.
The fix
Measure visits in a panel of stores, match them to campaign exposure, and report every channel on the same metric: the share of your real visitors each campaign reached. Then let the platforms optimize on that signal. The shift is usually visible within two three-week cycles.
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