Abstract: A system includes a processor and a memory including computer program code. The memory and the computer program code are configured to, with the processor, cause the processor to: receive historical campaign data; determine a likelihood that a vendor will accept a card offer by inputting the historical campaign data into a machine learning model that has been trained for at least one campaign using training data comprising past campaign performance data; automatically recommend a campaign strategy tailored for the vendor using the machine learning model, wherein the recommended campaign strategy is an output of the machine learning model that is based on the determined likelihood that the vendor will accept the card offer; and automatically display the recommended campaign strategy output from the machine learning model on a graphical user interface (GUI).