Abstract:

Bad ads create bad experiences for consumers and negatively impact your brand. It is critical to know what creative element or pattern can help drive brand performance and direct response. However, creative A/B tests or lab tests with facial expression analysis are expensive and not scalable. In this research, we used Google Cloud APIs to compute thousands of features from large creative samples to conduct creative meta-analysis. We added those features from machine learning and computer vision with human encoding elements.