The Marketing Reporting Best Practices for Better Decisions


Here’s how to structure your marketing data for better business-level decision-making:

- Comparisons: understand historical reference points (PoP/YoY).

- Time Series: understand spikes, dips & trends by day/month/year.

- Filter by X: great for insights, exploration, root cause analysis, etc.

- "Pair" absolute & relative metrics together: e.g. conversions (absolute) vs. conv. rate (ratio).

- X by Y break-downs (e.g. revenue by channel): see the individual "slices" of the pie.

- Forecasts / pacing / goal %: predict the future using current numbers.

- "Growth algebra": report on individual components of an outcome you want (e.g. revenue = leads X lead-to-opp rt. X opp-to-close rt. X Price X Duration X Churn etc.).

- Efficiencies: ratios of inputs to outputs (close rates, LTV:CAC etc.)

- Contribution %'s: understand what business areas are driving results. e.g. % of revenue coming from paid vs. organic, outbound vs. inbound, etc.

- P&L: structure & map reports/metrics across revenue, costs, profit.

- Q&A: reports should answer practical, business-level questions. E.g. "what's working?", “what’s limiting our growth?”, etc.

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Marketing Planning Formula: Goals = Budgets + Priorities