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In this article, we explore the use of leveraging historical data and machine learning algorithms to predict ad creative performance prior to testing. This can be used by marketers to optimize their ad campaigns and allocate their advertising budget more effectively. We also discuss the methods and data needed to make accurate predictions about how new ad creatives are likely to perform.