How do big companies assess whether their TV ads were useful or not?
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One thing many of these answers is missing: data science. Companies will build media mix models which essentially take in media spend as one set of many sets of variables that are used to predict sales quite accurately. Based on the coefficient for TV advertising spend in that model, you can establish a return on advertising spend.
Or better yet, run a test with a holdout region.
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