Optimized Bayesian A/B Testing Capabilities - Implementation and Execution in the New Version 15.x
A/B Bayesian Testing is a new capability implemented in version 15.x of AroniSmartIntelligence™ available on Apple's App Store® ( see the introduction and background on A/B Test in AroniSmartIntelligence™ here ). A/B Testing is a statistical methodology that involves randomly splitting an experiment into two groups with the goal to find what works better. For example, in digital marketing where the objective is to test which version of a banner, an e-mail, or a web page leads to a higher conversion rate, a user base is split into two groups. Each of the two groups is showed a different version of the web page, an app, or an e-mail. The goal is to see if the modified version has a higher impact on user behavior, conversion rates, increased sales, etc. A/B testing has become a key analytical methodology in machine learning and data science across industries, in the technology in general, given its effectiveness to help test hypotheses and get reliable a...