One of the weaknesses in traditional Customer Experience (CX) and Brand Health tracking programs is that they do not include enough actionable information for organizational implementation. Phoenix will share a proven approach in this area via a case study on successfully conducting this integration using "analyst assisted" machine learning coding with predictive modeling. The net result is how this integration can make a Brand Health tracking or CX program much more efficient. The approach can utilize more streamlined surveys but, most importantly, provide the action areas that can be addressed to strengthen brand health and customer experience. In addition to showing how the approach can direct marketing development calendar prioritization efforts, we will share our insights showing how the importance of managing a brand, product, and customer experience varies across industry types, as one of the illustrations of how the analytic process can deliver additional strategic insight.