https://embed.notionlytics.com/wt/ZXlKd1lXZGxTV1FpT2lJM09XVTNZVFl5TWpCaU9UZzBNbVZqWVdWa01HTTRaakV4TUdGaE9XWXlaQ0lzSW5kdmNtdHpjR0ZqWlZSeVlXTnJaWEpKWkNJNklqbHpjVk52YW1nMU4zbDZXV1p3UjJ4QlZVSm1JbjA9

<aside> ⭐ By Liz Adams.

</aside>

Table of Contents


Why conduct a brand lift study?

Brand lift studies allow us to better measure the impact of ads on our brand with metrics. With these tests, we can better understand an ad’s effect on various brand metrics, such as brand favorability, familiarity, or product consideration.

Depending on your goals for the study, here are a few ways to think about brand lift, and the metrics you’ll need to calculate:


Who is surveyed in these tests?

<aside> 👥 A subset of two separate groups will receive brand surveys. The two groups surveyed are:

  1. A test group that receives an ad
  2. A control group that won't see an ad

</aside>

Both groups should represent the audiences who you intend to target in your ad campaigns. Participants in the test group won’t receive a brand survey until they’ve received an ad impression.

Each brand survey displays a question that corresponds to one of the metrics we select to test. It’s possible that respondents could see a second brand survey question using a different brand metric. Responses can’t be changed once submitted.