ROI Estimator
Model your
revenue impact.
Translate conversion lifts into actual revenue. Adjust your baseline numbers, set an expected improvement, and see exactly what changes: leads, customers, payback.
Why teams use it
- Forecast revenue before committing to a budget.
- Link marketing metrics directly to business outcomes.
- Find the levers (conversion rate, win rate, deal value) that move the needle.
Inputs
Adjust your numbers.
Start with what you know today. Then set an expected lift to see how improvements change your pipeline, revenue, and payback period.
Assumptions
- ROI = ((Revenue − Spend) ÷ Spend)
- Payback period assumes steady monthly performance.
- Model best, base, and stretch scenarios.
How to use it
Bring numbers to your next leadership review.
Use the estimator to pressure-test assumptions before presenting a campaign, launch, or experiment. The clearer your numbers, the faster you secure the budget.
- 01
Gather baseline signals.
Pull your current conversion rates, win rates, and average contract values from your analytics stack. Use real numbers. The model is only as good as what you put in.
- 02
Stress-test scenarios.
Adjust one lever at a time to understand which improvements deliver the biggest lift. Try conservative and stretch estimates to bound your expectations.
- 03
Align stakeholders.
Share the projected revenue, ROI multiple, and payback period to align marketing, sales, and finance around a common set of numbers.
Need deeper analysis?
Get a custom model, benchmark data, and activation plan.
I work with GTM teams to build models, dashboards, and playbooks that connect spend to revenue. If you want to replace guesswork with data, let's design your next growth experiment.
Let’s build clarity together.
Tell me what you’re trying to achieve and where things feel uncertain. I’ll reply within two business days with a clear path forward.