tamme rotates and A/B tests the different ad templates that you’ve uploaded in order to try and determine the most effective version. It also uses the results from previous conversions to start to predict which templates are most likely to convert a user based on the predictive model that’s been built up over time. This allows it to pick adverts at a user by user level instead of a one-size-fits-all approach.
After you upload or create an ad template tamme begins to analyse the different features, display options, and dynamic content fields. It then starts to predict and test different variations to build out a predictive model that can determine which features, wording, and images are likely to get a user to move to the next stage in the funnel.
Because tamme has an analytics platform that understands the way that your users interact with your marketplace it’s able to use predictive analytics to choose the best content for each template and is able to dynamically change the content with all of the data contained in the analytics platform.