Attribution Window
ConceptAn attribution window is the allowable timeframe between when a user interacts with an ad and when a resulting purchase is credited to that ad.
What is Attribution window, in plain English?
Think of an attribution window like an expiration date on a store coupon. If a customer clicks your Google ad on Monday and finally buys your product on Friday (4 days later), a 7-day attribution window says: "Yes, that ad caused the sale, give Google credit!" But a 1-day window says: "Too much time has passed, treat this sale as direct/unattributed."
Attribution window example
Meta defaults to a 7-day click / 1-day view window. If someone clicks your Instagram ad on Day 1 and purchases on Day 6, Meta reports 1 conversion. If your CRM only looks at same-day clicks, your CRM will report 0 ad conversions for that purchase.
Common Attribution window mistakes
Google Ads (30-day click default), Meta (7-day click default), and your internal database each use completely different windows. This is the #1 reason ad dashboard numbers never match your bank or database revenue.
What is a good Attribution window?
Choose a window that matches your real purchase cycle, measured from your own data as click-to-purchase lag. Impulse purchases may need only a 1–7 day click window; considered purchases need longer. Keep the window fixed when comparing periods, and state it whenever you report a platform number.
Attribution window FAQs
What are the default attribution windows in Google Ads and Meta?
Google Ads defaults to a 30-day click window for most website conversion actions; Meta's default is 7-day click and 1-day view. Your own database applies no window at all — one reason the three rarely agree.
Does changing the attribution window change results?
It changes how many conversions get credited to ads, not how many sales happened. A longer window credits more conversions, so reported ROAS rises while actual revenue stays the same.
Which attribution window should I use?
One that covers most of your genuine click-to-purchase lag without sweeping in purchases the ad didn't influence. Check the lag distribution in your own orders and pick the window that captures the bulk of it.
- Why Google Ads ROAS never matches your database
- Shopify, GA4 and Meta disagree?
- Half your conversions are estimates.
- Attribution Windows: 1-Day Click, 7-Day View, and Why Your Numbers Moved
- Retargeting steals credit from prospecting (and how to prove it)
- View-through conversions: when to count them, when to ignore them
Last reviewed October 3, 2026.