How We Diagnose Every Ecommerce Problem (The Hierarchy of Metrics)

How We Diagnose Every Ecommerce Problem (The Hierarchy of Metrics)

Tony Chopp, walks through the Hierarchy of Metrics — the framework our Prophit Engineers use to diagnose problems and take action for 170+ ecommerce brands.

In this episode, Tony and Richard break down a real brand example in Statlas, showing how you go from a contribution margin miss all the way down to a specific campaign adjustment in Google Ads.

The hierarchy:

  • Business-level metrics (revenue, contribution margin, ad spend)

  • Customer-level metrics (new vs. returning, paid vs. organic)

  • Channel-level metrics (Google, Meta, email — iROAS by channel)

  • Campaign-level actions (bids, budgets, new creative)

Key takeaways:

  • Your ROAS target should be backed into through incrementality math and unit economics — not vibes

  • "4 is not necessarily better than 3" — if 3 is the right number based on your COGS and incrementality, targeting 4 leaves volume on the table

  • Over-efficiency is a symptom of underspend, not a badge of honor

  • Good data in = good decisions out. The system is only as strong as your cost data, audience segmentation, and incrementality testing

Show Notes:

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