Most marketing plans contain one scenario: the one that was approved. Marketing Scenario Modeling & Forecasting lets you test several. We build statistical and AI models of how your channels, budgets and campaigns have performed, calibrate them against your history, and use them to forecast what different plans would produce.
Where it helps
- Budget allocation across channels decided by precedent rather than expected return
- Campaign targets set without a forecast of what the plan can realistically deliver
- Board or finance requests for the likely outcome of a larger or smaller marketing spend
- Seasonal and launch plans that need a range of outcomes, not a single number
What we deliver
- Response models. How each channel and campaign type responds to spend, including saturation and diminishing returns, built from your own history.
- Scenario simulation. Side by side comparison of budget splits, timing and channel mixes, with a range of expected outcomes for each.
- Forecasts. Rolling forecasts of leads, revenue or other targets under the chosen plan, refreshed as actuals arrive.
- Planning workspace. An interface where planners adjust assumptions and see the forecast change, rather than waiting for an analyst.
How an engagement runs
- Assess. We review your spend and outcome history, agree the targets to forecast and the decisions the model must support.
- Build. We fit the response models, test them against past periods and run a first set of scenarios with your planners.
- Integrate. Forecasts flow into your budgeting tools and attribution reporting so plans and results stay comparable.
- Run. We recalibrate as new data arrives, track forecast accuracy and add scenarios ahead of each planning cycle.
What changes for your team
- Budget requests arrive with a forecast and a range, not a single hopeful figure
- Channel mix decisions can be tested before money is spent
- Forecast accuracy is tracked, so trust in the numbers grows over time
