Meta Ads Attribution Windows: 1-Day vs. 7-Day Click Explained (2024)

The "View-Through" Illusion. You run a Retargeting ad. A user sees it, scrolls past, but buys later that day because they received an email. Facebook claims the sale: "1-Day View Conversion." Email claims the sale. You pay double CPA on paper.
Understanding Attribution Settings is the only way to know the truth.
Part 1: The Settings
7-Day Click / 1-Day View (Default):
- If they click and buy within 7 days -> Credit.
- If they view and buy within 24 hours -> Credit.
- Pros: Shows the most data. Helps the algorithm learn.
- Cons: Inflates reporting with View-Throughs.
1-Day Click (The "Truth" Setting):
- Only counts if they click and buy today.
- Pros: Conservative. High confidence that the ad caused the sale.
- Cons: Kills performance for high-ticket items (where people need time to think).
Part 2: Which One to Choose?
Scenario A: Low Ticket Impulse (<$<$50)
- Setting: 1-Day Click.
- Why: If I sell a $20 gadget, they should buy immediately. I don't want to optimize for "browsers."
Scenario B: High Ticket / B2B (>$500)
- Setting: 7-Day Click.
- Why: Nobody buys a $1,000 course on the first click. They need time. The algorithm needs to know that a click on Monday led to a sale on Friday.
Part 3: Assessing "Incremental Lift"
How much of your "View-Through" revenue is real? The Lift Test.
- Run a "Holdout Test" in Experiments.
- Meta holds back ads from 10% of your audience.
- It compares sales in the "Exposed Group" vs "Holdout Group."
- If the Lift is 0%, your View-Through ads are doing nothing (cannibalizing organic).
Summary
If you are scaling aggressively, use 7DC/1DV to give the algorithm maximum signal. But when reporting to your CFO, look at the Click-Only breakdown.
- Dashboard: "Compare Windows".
- Check: If 50% of your sales are "View-Through", your ads are likely taking credit for email/organic traffic. Be skeptical.

About the Author
Performance marketing specialist with 6 years of experience in Google Ads, Meta Ads, and paid media strategy. Helps B2B and Ecommerce brands scale profitably through data-driven advertising.
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