How to launch Brand Lift
Brand Lift analysis is only available for new Display campaigns with banners and video ads.
Brand Lift analysis begins when the ad campaign starts and ends as soon as sufficient data is collected. The recommended campaign duration is 2 to 4 weeks.
Step 1. Prepare an ad campaign
Create a new display campaign, specify the main parameters and add ads to it.
Mandatory criteria for Brand Lift analysis:
These criteria must be met throughout the ad campaign, otherwise the survey is suspended.
Step 2. Configure your survey
In your campaign parameters, click Order survey under Managing impressions .
Two metrics are already set in the analysis settings window. Choose a third metric from the list.
Fill in your brand details and enter up to 4 competitor brands. If you have selected an additional Ad Message Recall metric, enter the ad messages of your campaign and competitors' campaigns. The survey must follow the requirements.
The preview of the survey is shown below the settings. Check the data and save the parameters. To make edits, use the Change settings button in the Brand Lift field.
Step 3. Submit your campaign for moderation
If your campaign has passed moderation, ad impressions start regardless of whether your survey passed moderation or not. If your survey is rejected, open the campaign settings and click Change settings in the Brand Lift field. Correct the data to meet the requirements. Save the changes to re-submit your survey for moderation.
Brand Lift begins as soon as the survey passes moderation and ends as soon as a sufficient number of questionnaires is accumulated. It can continue up to 14 days after the campaign has stopped. When the survey is complete, you will see the "Survey complete" status in the Brand Lift field in campaign settings. To view the results, click View statistics and open the Brand Lift tab.
The accuracy of Brand Lift results depends on the amount of data collected. That's why we do not recommend stopping the campaign earlier than in 2–4 weeks. There might not be enough data to get any statistically significant results.