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Create an incrementality test plan covering the decision, hypothesis, assignment, outcome, power, contamination, analysis, and action rule.

Build a marketing measurement plan that maps business decisions to KPIs, attribution, experiments, MMM, owners, and review cadence.

Understand server-side attribution architecture, event quality, consent, deduplication, and why better collection does not guarantee causal measurement.

Learn how view-through attribution counts post-impression conversions, where over-crediting occurs, and how to validate display and video impact.

Understand data-driven attribution, its inputs, model logic, reporting uses, privacy constraints, and the difference between credit and incrementality.

Learn how cross-channel attribution connects journeys, deduplicates conversions, and where identity, privacy, and walled gardens limit accuracy.

Understand click, view, and conversion attribution windows, how they change reported performance, and how to choose defensible settings.

Calculate blended CAC, compare it with paid, fully loaded, and incremental CAC, and use each metric for the right growth decision.

Calculate break-even ROAS from contribution margin, understand common formula mistakes, and add LTV and incrementality to scaling decisions.

Compare ROAS and marketing efficiency ratio, understand their formulas and biases, and learn when each metric supports better decisions.

Choose paid media KPIs across delivery, engagement, conversion, unit economics, incrementality, and portfolio performance.

Build a paid media report with executive KPIs, pacing, channel diagnostics, attribution context, experiments, and next-budget actions.