In this episode, Phil Dubois is joined by Kevin Jampole and George Grant of Connected Markets to dig into one of the most painful problems facing modern e-commerce brands—how to make sense of conflicting data across ad platforms, Google Analytics, and Shopify. They explore the limitations of last-click attribution, how machine learning models offer a "single source of truth," and why tools like AdAmplify are transforming the way brands optimize ad spend, measure lifetime value, and plan for economic uncertainty. Whether you’re running a DTC store, managing marketing for a B2B SaaS product, or just tired of watching Facebook and Google fight over your conversions, this episode breaks it all down—no fluff, just clarity. 🔍 Topics covered: The attribution data disaster most store owners face First-click vs. last-click vs. machine learning models Repeat purchase behavior and CLTV tracking Why customer acquisition costs keep rising Organic search and email as long-term safety nets Predicting future revenue using past customer data 🎧 Tune in and discover how to stop guessing—and start growing smarter.