Why Rapid Hypothesis Testing via Experimental Learning is the future of behavior influence. Industry standard experimentation platforms such as Optimizely and Google Optimize feature sophisticated A/B testing functionality as the primary driver to unlocking additional customer value through highly personalized interactions. In the hands of the right marketing team, these platforms are central to robust and highly repeatable experimentation that ultimately create new and enhanced customer experiences. Indeed, the right marketing team is chasing hyper-personalization in 2022. Their segmentations are dynamic to behaviors across a wide variety of both online and offline channels that change by the day. They can engage a sophisticated customer group with rapidly changing wants and needs because relevant customers insights are consistently made available to them. Unfortunately, the typical marketing team in 2022 is likely to use outdated segmentations that contain undifferentiating customer dimensions. Experimentation platforms of today still offer no solution in answering the "who" of customer engagement, while answering the "how" and the "what". Leveraging modern AI technology, HELP is designed to help marketing teams rapidly experiment so they can achieve their business goals quicker. This is possible through automated insights that guide which customer attributes have a high affinity to an offer or engagement, and which customer attributes can be safely ignored. By enabling rapid iterations of intelligently selected customer attribution, tailoring customer engagement becomes much easier for the typical marketing team.