Measurement
Working demos, not claims
Five small instruments that show how I think about marketing science: mix models, geo tests, experiment sizing, attribution, and the executive read. Every figure inside them is synthetic and generated in your browser. None of it is client or employer data.
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- Demo · synthetic dataMMM budget reallocationWhere should the next dollar go?Channel response curves with saturation. Move spend between channels and watch predicted revenue, blended MER, and each channel's marginal return update live.
- Demo · synthetic dataGeo test readoutDid the spend cause the sales?Test markets against a pre-period-scaled control. A lift estimate with an uncertainty band and a keep, cut, or keep-testing call against break-even.
- Demo · synthetic dataExperiment power calculatorHow big, and how long?Sample size per arm and test duration from the baseline, the minimum detectable effect, the variance, and your traffic.
- Demo · synthetic dataAttribution comparisonWho gets credit, and does it add up?The same synthetic customers credited three ways: last-click, data-driven (Shapley), and an MMM-style incremental view. Plus a reconciliation of paid, affiliate, and creator claims against real orders.
- Demo · synthetic dataExecutive MER dashboardWhat did we book against what we spent?Cash MER against platform ROAS over time, with a break-even line set by contribution margin and a fail-closed week when the data isn't complete.
Method write-ups
- From MTA to macro-measurementWhy user-level click paths stopped being a reliable budget source, dated and sourced, and what replaced them: modeled conversions, MMM, lift tests, and MER.
- MMM workflowStart from the budget decision, build the data honestly, let experiments anchor the model, and present a recommendation with its range.
- Designing a geo testPre-register the decision, pick markets that track each other, size the test from real pre-period noise, and read the interval against break-even.
- Reconciling platform vs cashDefine one source of truth for sales and spend, explain the gap line by line, de-duplicate claims, and report cash MER with platform ROAS as context.