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Decoding the Chaos: How E-commerce Stores Can Finally Trust Their Marketing Data
Manage episode 489030731 series 3649180
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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.
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