Abstract: Disclosed embodiments include systems and methods relevant to optimization of dynamic content. For example, disclosed embodiments can involve generating dynamic content based on the performance of content variants. The performance of content variants can be analyzed and used as input to a machine learning framework that allows for the creation of variants configured to optimize for goal parameters. In some examples the machine learning framework can include the use of greedy algorithms, discrete hill climbing algorithms, and evolutionary algorithms among others.

Abstract: An electronic messaging system is provided to generate and send electronic messages that contain adaptive content to customize the electronic messages for each recipient. The system operates to receive an adaptive content asset and a content rule, select a set of adaptive content elements from the adaptive content asset based upon the content rule, and send a content locator to an author computing device to permit the author computing device to include the content locator in the electronic message and send the electronic message to a recipient computing device.

Abstract: An electronic messaging system is provided to generate and send electronic messages that contain adaptive content to customize the electronic messages for each recipient. The system operates to receive an adaptive content asset and a content rule, select a set of adaptive content elements from the adaptive content asset based upon the content rule, and send a content locator to an author computing device to permit the author computing device to include the content locator in the electronic message and send the electronic message to a recipient computing device.