Confidently evaluate and iterate on your LinkedIn Ads to optimize performance.
A/B Testing compares the performance of two campaigns that differ by one variable, such as ad format, creative content, audience, and ad placement*.
The audience is automatically split into two groups for the duration of the test.
Audience segments are only exposed to one of two campaigns.*
Results are available in the Testing dashboard of Campaign Manager.
Running an A/B test can help you identify which tactic drives more results and help you optimize future strategies.
*There are scenarios where there is not a winning campaign; when the tested variable had a negligible impact on campaign performance, or there was not enough data to determine a winning campaign. LinkedIn does not guarantee conclusive results. There may be instances where audience overlap occurs but there is negligible impact to the validity of the test results.
Brand Lift Testing measures the incremental impact of LinkedIn ads on your key brand metrics (e.g. ad recall, brand favorability) by comparing your brand perception between a group of people who’ve seen your ads and a group of people who haven’t*:
A subset of users in the treatment group will be shown your brand ads during the flight of Brand Lift test.
You can use the results from your Brand Lift test to optimize ad performance.
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