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Small 'neural focus groups' predict anti-smoking ad success
Date:4/25/2012

>Following the fMRI, participants rated the effectiveness of the ads they had just viewed in a variety of ways. The researchers compared their brain scans to their reports on the ads' effectiveness.

To obtain population-level measures, the researchers compared the number of calls to the tobacco quit-line in the month before and after each media campaign first aired in three different media markets.

When asked what they thought of the ads, participants rated Campaign B the highest, followed by Campaign A and then Campaign C. Industry experts familiar with the campaigns also disliked Campaign C. The three campaigns used very different strategies. Raters found Campaign C annoying and guessed that it would be ineffective. By contrast, Campaigns A and B resonated with participants, but in the end were less effective in actually driving calls to 1-800-QUIT-NOW.

But brain scans, which focused on the medial pre-frontal cortex, an area of the brain identified in earlier studies as linked to positive responses to persuasive messages, showed a completely different order, with Campaign C eliciting the strongest response.

At the population level, each ad campaign led to increases in call volume to the quit-smoking line, compared with a no-media control month before the launch of each campaign. The increases ranged from 2.8 times to 32 times higher than the control month, and the researchers found that Campaign C led to the highest increases, followed by Campaign B and lastly Campaign Ajust the opposite of the participants' guesses but precisely the same as their brain scans showed.

"It seems that the brain is picking up on important features of these ads, but we're not sure what these features are yet," said Falk, assistant professor of communication studies and a faculty associate at the U-M Institute for Social Research. "We're doing follow up studies now to translate what the brain is telling us about how to design better messa
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Contact: Diane Swanbrow
swanbrow@umich.edu
734-647-9069
University of Michigan
Source:Eurekalert

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