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.
Free
No cost
Live
Instant output
5 inputs
No fluff
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
01
ROI = ((Revenue − Spend) ÷ Spend)
02
Payback period assumes steady monthly performance.
03
Model best, base, and stretch scenarios.
Projected impact
Baseline
Leads / month
—
Revenue / month
—
With lift
Leads / month
—
Revenue / month
—
Net new customers
—
Additional revenue
—
ROI multiple
—
Payback period
—
Story to share
Plug in your numbers to see how the lift changes customers, revenue, and ROI.
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.
Why teams use it
01
Forecast revenue before committing to a budget.
02
Link marketing metrics directly to business outcomes.
03
Find the levers — conversion rate, win rate, deal value — that move the needle.
Need a custom model with real benchmark data?
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.