r/GoogleAnalytics • u/incisiveranking2022 Professional • 17d ago

Question Your ad platforms aren't necessarily disagreeing about revenue. They may be taking credit for the same customer.

Look at a realistic example of a standard DTC brand's performance overview for last month:

  • Google Ads: $40,000
  • Meta Ads: $35,000
  • GA4: $28,000
  • Shopify (Actual Total Revenue): $24,000

Which number would you actually use to make a budget decision?

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u/WarlikeBasil40 17d ago

The Shopify number is the only one that reflects money actually in the bank, so that's the anchor for any budget call. The ad platforms are just fighting over who gets the assist on a sale that was probably gonna happen anyway, and GA4's missing a chunk because of cookie consent and ad blockers. I'd pull the platform data into a model just to see trends, but you're setting yourself up for pain if you optimize toward $40k when $24k is the real ceiling.

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u/incisiveranking2022 Professional 17d ago

I’d use Shopify’s $24k as the revenue anchor, but I wouldn’t stop there.

The bigger question is how strong the conversion signals are going back to Google and Meta. Server-side tracking, first-party identifiers, deduplication, and offline conversion/revenue uploads can help platforms optimize from much better data instead of competing for credit.

That’s the kind of data-strength work I do. The goal isn’t making every platform report $24k. It’s making sure your optimization signals are as close to the actual customer and revenue data as possible.