What Is a Brand Lift Survey? Steps to Design, Aggregate, and Use It
Published:
Last Updated:
Category: Marketing Glossary,
Published:
Last Updated:
Category: Marketing Glossary,

Authors: Shusaku Yosa
You want to measure the effect of advertising not only by "sales" and "clicks," but also by "how much brand awareness and favorability rose"—a brand lift survey answers that need. This article clearly explains what a brand lift survey is, the metrics it reveals, why it matters, and the steps for designing, aggregating, and using the survey, in a way that is easy for beginners to understand.
A brand lift survey is a survey that compares people who were exposed to an ad (the exposed group) with people who were not (the control group), and measures how much brand awareness, favorability, purchase intent, and the like changed (lifted) due to the ad. It lets you visualize, in numbers, the ad's effect on the brand—something hard to capture with direct results such as sales or clicks.
The reasons brand lift surveys have gained widespread attention include the following factors.
To conduct a high-accuracy brand lift survey, design it with the following steps.
The collected data is aggregated and analyzed with the following approach.
The basis of aggregation is comparing the responses of the exposed group, which was exposed to the ad, and the control group, which was not. The more the two groups match in conditions other than whether they were exposed to the ad, the easier it is to capture the ad's pure effect.
From the difference in scores between the exposed group and the control group, calculate the "lift value" that shows the change due to the ad. For example, if the awareness rate is 30% in the control group and 40% in the exposed group, the absolute lift is 10 points and the relative lift is about 33%. Also check whether the difference is statistically significant.
The results of a brand lift survey can be used in the following ways.
A brand lift survey is a survey that compares a group exposed to an ad with a group that was not, and measures how much awareness, favorability, purchase intent, and the like rose. It lets you visualize the effect on the brand that is hard to see through sales or clicks, and helps with improving the creative, optimizing delivery, and explaining ad effectiveness. Defining a metric that fits the goal, designing the exposed and control groups appropriately, and confirming a significant difference with a sufficient sample are the keys to a high-accuracy survey. Start by clarifying "what you want to raise" with your own ads.
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