35% savings of the ad budget
Telecommunication and media company
We’ve analyzed the efficiency of a TV advertising campaign with different ad pieces. Having processed biased data, we’ve implemented an algorithm to cluster a data set and compared audience actions based on the set-up events. The least working ad piece was identified and put out of the further campaigns. As a result, our client saved almost 35% of the ad budget without any decrease in conversion rate.