If your Google Ads, GA4 and Shopify all report different revenue, this is why. Attribution decides which touchpoint gets credit for a sale — and that decision quietly makes some channels look like heroes and others like duds.
A customer rarely buys on the first click. Attribution is just the rule that decides which of these steps gets the credit for the sale — and each model answers that differently.
Gives 100% of the credit to the final touchpoint before purchase — usually a brand search or direct visit. It's simple, but it systematically over-credits bottom-funnel and buries the channels that created the demand.
Gives 100% of the credit to the first touchpoint — the channel that first introduced the customer. This is how you see which campaigns actually generate new demand rather than just closing people who were already coming.
Google's machine-learning model splits the credit across every touchpoint based on how much each actually influenced the conversion, using your account's real data. It's the closest thing to the truth and is now the default in Google Ads.
Most brands judge their Demand Gen and prospecting on last-click — then pause them because "the ROAS is low." But those campaigns rarely get the last click; they create the demand that shows up later as a brand search or direct visit. Judge top-funnel on first-click or data-driven, and bottom-funnel on last-click. Use the right lens for the job.
Google Ads uses data-driven, GA4 can be set differently, and Shopify is effectively last-click. Same sale, three different owners.
Each platform counts conversions over a different look-back period, so a sale can land in different days — or get missed entirely.
Ad blockers, consent choices and cross-device journeys mean each platform simply sees a different slice of reality.
Right attribution, verified conversion tracking, and campaigns judged on the correct lens — so you scale what works instead of pausing it by mistake. Book a free audit.
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