Something nearly every advertiser experiences: the panel says “33 sales,” while the store's order list shows 14 orders. This gap is often not an error but a result of how the panels measure. But if you make a budget decision on the wrong number, it gets expensive.
An example: 33 versus 14
For an e-commerce brand, over a period of about six weeks, I compared the number of sales Meta reported with the orders in the store panel that came from Instagram and Facebook sources. Meta had shown 33 sales; in the store records, the orders from these sources were 14: the panel's claim was about 2.4 times higher. One possible reason is that the panel also counts view-through attribution (people who see the ad and buy later without clicking); another is that the store's source data may not capture every order. So the figure 14 should be read as a lower bound. (The brand name is not disclosed.) I now run this comparison regularly.
Six reasons
- Different attribution windows. With standard attribution, Meta can attribute a conversion to an ad within 1 or 7 days after a link click on the ad, 1 day after an ad impression (view-through), and 1 day after a non-link engagement. In Google Ads, the conversion window defaults to 30 days for clicks and 1 day for views; the window can be changed per conversion action.
- View-through. This means a person who sees the ad but does not click makes a conversion within a certain period. The panel may count this as the ad's contribution, while the store may see the order's source elsewhere (direct, email, search).
- Different date logic. According to Google's help pages, Google Ads usually records a conversion on the click date, while Google Analytics records it on the date the conversion occurred; so numbers can shift at period boundaries.
- Scope difference. According to Meta's help page, Ads Manager shows only events attributed to ads, while Events Manager shows most received events, including organic ones.
- Cross-device and modeling. Customers who click on a phone and buy on a computer, and the modeling used for visitors who have not given consent, can pull the panel's number away from the store record.
- Attribution of the same order by two platforms. Since each platform can credit the conversion to itself within its own window, the total of the two panels can exceed the store's orders (this is a logical consequence; the platforms do not confirm it separately).
How do you reconcile the panel with the store?
- Use the same date range; choose the same time zone for the panel and the store.
- Get the order source from the store panel (UTM tags or referring site information); add UTMs to ad links.
- If possible, match orders one by one; look at the order level rather than the total.
- Separate the unmatched ones: these are the orders inflating the panel.
- Look at the numbers after subtracting canceled and refunded orders.
- Repeat the matching every month.
Which one do you look at when deciding?
Panels tend to count in their own favor; for budget decisions the yardstick is the store's order record. Using the panel for in-ad optimization (which creative, which audience) makes sense. Meta also says that the results of ad sets using different attribution models should not be compared directly, and that if an external analytics tool is used, performance should be evaluated there.
Frequently asked questions
Is the panel's number always inflated?
Not always. The direction varies with attribution settings, traffic sources and your store's measurement setup. What matters is comparing the two numbers at the order level.
What is Meta's current default attribution setting?
Check the attribution setting inside your account; defaults change over time and roll out to accounts gradually.
Sources
- Meta: About attribution models and attribution settings
- Meta: Differences between event counts in Ads Manager, Ads Reporting and Events Manager
- Google Ads Help: About conversion windows
- Google Analytics: Consent mode on websites and mobile apps
Sources checked on 1 October 2026; official pages may change over time.

