Decoding the Chaos: How E-commerce Stores Can Finally Trust Their Marketing Data

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.