This episode introduces the "Hierarchy of Metrics," a robust framework for ecommerce operators to diagnose performance issues from high-level business metrics down to specific campaign adjustments. It emphasizes a data-driven approach to setting ROAS targets and optimizing ad spend based on unit economics and incrementality, rather than arbitrary benchmarks, ensuring that every marketing decision contributes to genuine profitability and growth.
Key takeaways
Implement the Hierarchy of Metrics (Business, Customer, Channel, Campaign) to systematically diagnose ecommerce problems and pinpoint specific areas for improvement.
Calculate ROAS targets based on incrementality and unit economics, not arbitrary benchmarks, to ensure profitable ad spend and avoid leaving revenue on the table.
Recognize that 'over-efficiency' (very high ROAS) can be a symptom of underspending; optimize for the highest profitable volume rather than just the highest ROAS.
Prioritize data integrity: ensure accurate cost data, precise audience segmentation, and regular incrementality testing to enable effective decision-making within your diagnostic framework.
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 tableOver-efficiency is a symptom of underspend, not a badge of honorGood data in = good decisions out. The system is only as strong as your cost data, audience segmentation, and incrementality testingShow Notes:See how their guarantees work at https://redstag.com/Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have
What does this episode say about analytics & attribution?
Implement the Hierarchy of Metrics (Business, Customer, Channel, Campaign) to systematically diagnose ecommerce problems and pinpoint specific areas for improvement.
What does this episode say about paid acquisition?
Calculate ROAS targets based on incrementality and unit economics, not arbitrary benchmarks, to ensure profitable ad spend and avoid leaving revenue on the table.
What does this episode say about dtc strategy?
Recognize that 'over-efficiency' (very high ROAS) can be a symptom of underspending; optimize for the highest profitable volume rather than just the highest ROAS.
What does this episode say about finance & fundraising?
Prioritize data integrity: ensure accurate cost data, precise audience segmentation, and regular incrementality testing to enable effective decision-making within your diagnostic framework.
