Attribution: Meta says 100 sales, the system says 70 — who’s right and how to decide
Pedro Albuquerque · 2026-10-07
Results
Windows
The attribution window is crucial for understanding how sales data is counted. Meta uses a default window of 7 days for clicks and 1 day for views. This means a sale made after clicking an ad within that period will be attributed to the campaign. For accurate analysis, check that the window aligns with your expectations and goals. If you’re seeing discrepancies, look at how long it takes your customers to convert. If they take longer than the default window, consider a longer window.
Duplication
Event duplication can be a serious problem. If you have multiple traffic sources or different pixels installed, you may end up counting the same sale more than once. Review your pixel setup and make sure it’s implemented correctly on all checkout and order confirmation pages. Use Facebook’s own event verification tool to identify potential duplicates. If you find any, adjust the implementation or tracking logic to avoid inflated counts.
UTMs
UTMs are essential for tracking where your traffic comes from and understanding how users are interacting with your campaigns. Use consistent UTMs across your campaigns so you can cross-reference this data with sales. Check whether your e-commerce system is reading the UTMs correctly. If Meta attributes a sale to a campaign when it actually came from another source, it may be a sign that your UTMs aren’t set up correctly.
Real orders
To decide who’s right, compare Meta’s sales data with the actual orders recorded on your e-commerce platform. This means looking not just at the total number of sales, but also at return and cancellation rates. If, for example, you have sales recorded in Meta, but many orders were canceled or returned, the number from your platform may be closer to reality. Always consider net sales value, not just the quantity.
Decision rule
Set a data-based decision rule. If the discrepancy between Meta sales and your e-commerce data is greater than 20%, investigate thoroughly. Check your UTMs, pixel setup, attribution windows, and event duplication. If the difference remains after this analysis, consider adjusting your attribution strategy and communication with Meta. Data transparency is vital to optimizing your campaigns.
With the right analysis, you can make more informed decisions and align expectations between the platforms and your actual sales.
How many sales have you noticed as discrepancies between platforms?