Abstract: A system and method for digitally testing a webpage are disclosed herein. The system receives, via one or more application programming interface (API) endpoints, user data. The user data includes one or more indications of one or more users interacting with the one or more variants of the webpage. The system inputs the one or more indications into a machine learning model. The machine learning model includes a Bayesian multi-arm bandit algorithm. The system generates, using the machine learning model, one or more results comprising causal performance estimates and a set of decision rules to adaptively design further testing experiments based on the causal performance estimates. The system generates a portal accessible to one or more end users. The portal includes the one or more results.