What is a conversion lift study on Meta?
A conversion lift study is a Meta experiment that measures how many conversions your ads caused. Meta randomly splits your audience into a test group that can see your ads and a control group that can't, then compares conversions between the two. The difference is the lift attributed to your ads.
A conversion lift study asks how many of your conversions would not have happened without your ads. Meta answers it with a controlled experiment, holding back a randomly chosen group that cannot see your ads and comparing it with a group that can. Meta says the test itself costs nothing extra, though the campaigns you include may need to meet budget requirements.
How does conversion lift work?
Meta divides your audience into two groups:
| Group | Who is in it | Sees your ads? |
|---|---|---|
| Test group | People randomly assigned as eligible to see your ads | Some do, some don’t |
| Exposed audience | The part of the test group that was served the ad with it in their viewport | Yes |
| Unexposed audience | The part of the test group that didn’t see the ad, for example due to delivery constraints or not scrolling to it | No |
| Control group | People not eligible to see your ads during the study | No |
The difference in conversions between the test and control groups is the lift. Meta calls this an intent-to-treat approach: it compares everyone who was eligible with everyone who wasn’t, which keeps the groups comparable and helps avoid overstating the effect of ads. Conversions such as purchases, sign-ups, app installs or offline sales are then matched back to both groups in a privacy-preserving way.
What questions can a lift test answer?
Meta lists questions such as how your Meta ads are performing, whether to increase the budget for a campaign, how many conversions your Meta ads account for, and whether your current attribution model aligns with the results of a controlled experiment.
Who can run a conversion lift test?
Meta gives these as a guide for self-serve tests:
- A campaign that started in the past year with at least $5,000 USD in spend.
- At least 500 conversions on that campaign with a 1-day click, 7-day click or 1-day view attribution setting.
- For campaigns longer than 90 days, the thresholds are prorated; a 180-day campaign needs $10,000 USD and 1,000 conversions.
- Either Conversions API sending an event with an event match quality score above 5, or a supported data source sending a low-funnel or mobile app install event.
Meta notes that the second signal option is unavailable for advertisers mainly targeting countries affected by the ePrivacy Directive.
How do you set up a conversion lift test?
- Open Ads Manager, select All tools, then Experiments under Analyze and report.
- Click Create test, then Get started under Conversion lift.
- Select your learning objective and the ad accounts, campaigns or ad sets to include.
- Add cells if you want to compare strategies between campaigns or ad sets.
- Set start and end dates, name the test, and choose your data source and events.
- Review the test details and click Create test.
Meta recommends a minimum budget of $5,000 USD and at least 28 days to raise the chance of a statistically significant result.
Which data source should you use?
Meta accepts pixel events, Conversions API events, app SDK events and offline conversion uploads, and recommends the Conversions API. Meta says it is less dependent on the browser your audience uses, and that higher event match quality may enable better lift outcomes.
FAQ
What is conversion lift percent?
Conversion lift percent is the percentage increase in conversions among Meta accounts exposed to your ads, compared with the estimated conversions you would have had without them. Meta calculates it by dividing incremental conversions by that estimated baseline, and marks the metric as estimated.
Should I use the post-test conversion window?
Meta offers it but does not recommend it for calculating results. It says using post-test windows without keeping holdout groups may increase variance and reduce the measured effect in the post-test period. Read results from the test period itself.
How is conversion lift different from an A/B test?
An A/B test compares two ad strategies against each other and picks a winner on a metric such as cost per result. Conversion lift compares people who could see your ads with people who couldn’t, to estimate the conversions the ads caused. Meta’s A/B tests can also report on a cost per conversion lift basis.
Sources
- About conversion lift (Meta, checked 2 Oct 2026)
- How to set up a conversion lift test (Meta, checked 2 Oct 2026)
- Conversion lift percent (Meta, checked 2 Oct 2026)
- About A/B testing (Meta, checked 2 Oct 2026)
Drafted with AI and checked claim by claim against the pages linked under Sources. Found a mistake? Tell us via the corrections policy.