Why don't Meta and Google sales match your store?

Why does the gap appear?

One morning Meta Ads Manager shows 48 sales for yesterday, Google Ads shows 31, and your store dashboard shows 55 orders in total. 79 sales is impossible — each platform counts its own share and can claim the same order. There are a few well-known reasons behind the gap.

1. Attribution model and attribution window

Each platform allows a certain time to connect a sale to its ad. By default, Meta counts purchases within 7 days of a click and 1 day of a view. In Google Ads, the default conversion window is 30 days. If a customer sees an Instagram ad and the next day searches on Google and buys, both platforms may claim that sale.

2. Date difference: click day vs order day

Ad platforms usually record a conversion on the day of the ad interaction. A customer who clicks on Monday and buys on Wednesday lands on Monday in the ad report and on Wednesday in your store. Over short date ranges this looks like a big gap.

3. View-through conversions

Purchases from people who only saw the ad and later came another way (view-through) can be counted by Meta. These sales exist in your store, but how much the ad contributed is debatable.

4. iOS and browser restrictions

Because of Apple's App Tracking Transparency, ad blockers and cookie restrictions, the browser pixel simply can't see some sales. Platforms try to fill the gap with modelled (estimated) conversions, which can push the number above or below your store's.

5. Returns, cancellations and pending payments

The pixel fires at the moment of purchase; an order cancelled or returned later doesn't drop out of the ad platform. Orders awaiting bank-transfer payment are counted or not depending on your store's reporting rules.

6. VAT, shipping and currency

Is the value sent to the pixel VAT-inclusive? Does it include shipping? Which does your store dashboard show? If these settings differ, revenue won't match even when order counts do.

7. Marketplace and offline sales

Sales on marketplaces such as Trendyol or Hepsiburada, or in your physical store, never reach the ad pixel — even though ads lead people to discover your brand and search for it there. We cover this effect in counting marketplace sales in ad performance.

How much difference is normal?

There's no fixed threshold, but it is expected that store orders are lower than the sum of all ad platforms, because the platforms overlap. Worry when:

• The gap suddenly changes a lot (for example, the pixel disappeared from a page).
• A single platform claims more than your store's total sales.
• The purchase event doesn't fire at all, or fires twice.

In those cases the problem is setup, not attribution — check your pixel and server-side tracking. Our Meta Conversions API guide explains a setup that prevents double counting.

Which number should you decide with?

The two numbers do different jobs:

• Platform data: For comparing campaigns, ad sets and creatives — it answers “which ad works better?”
• Store data: For judging whether the total budget is working — it answers “we spent 200k on ads this month; what did we get?”

A good practical rule: make creative and campaign decisions in the platform, and budget decisions with store revenue. Dividing total revenue by total ad spend (blended ROAS or MER) isn't affected by platform overlap.

How can you narrow the gap?

1. Send the purchase event once, from one place. Sending it from the theme, a plugin and a tag manager at the same time causes double counting.
2. Set up server-side tracking. The Meta Conversions API and Google's enhanced conversions catch sales the browser misses.
3. Align the value definition. Make sure the value sent to the pixel and your store report use the same VAT and shipping definition.
4. Use the same date range and time zone. If your ad account's time zone differs from your store's, end-of-day sales shift.
5. Compare over at least a week. Daily comparisons are the view most distorted by date shifts.

Seeing ad and store numbers on the same screen, over the same date range, makes the gap far easier to understand. That's why dashboards like CiroFly put platform data next to store and marketplace revenue.