Revenue Uplift Calculator — What's Your Conversion Rate Worth?
Put a dollar value on every percentage point of conversion rate improvement. Monthly, annual, and 3-year view.
Your numbers
AOV, MRR/customer, or LTV — whatever fits your model
Relative uplift from your winning variant (e.g. 12 = 12% relative improvement)
Revenue impact
Annual revenue uplift
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Current monthly revenue
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Projected monthly revenue
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Monthly uplift
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3-year cumulative
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Embed with current values
Calculations assume the improvement holds constant post-rollout. Monitor key metrics for 4 weeks after launching a winner.
How to calculate your revenue uplift
Four inputs to put a concrete dollar value on every A/B test win.
Enter your monthly visitors
Unique visitors (or sessions) to the page where the conversion event happens — not your whole site.
Enter your current CR
Current conversion rate for that page. Pull from analytics for the last 30 days for the most accurate baseline.
Enter revenue per conversion
Average order value for e-commerce, MRR per customer for SaaS, or LTV if you want a long-term view.
Set expected improvement
Use the relative uplift from your A/B test winner. A variant that moved CR from 3% to 3.36% is a 12% relative improvement.
Why small wins compound
A 5% relative improvement from a single test seems small. But run 10 tests per year at that average win rate and your baseline compounds: 1.05^10 = +63% over a year. The ROI of a systematic testing programme isn't in any single test — it's in the cadence.
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Frequently asked questions
How do I estimate the revenue impact of an A/B test win?
Multiply your monthly visitors by the new conversion rate and your average revenue per conversion. The difference versus the current state is the monthly uplift. Annualise it to see the 12-month value — this number is often the most effective way to justify a testing investment internally.
Should I use AOV, MRR per customer, or LTV?
Use whatever revenue figure is most meaningful. For e-commerce: average order value. For SaaS: MRR per acquired customer, or LTV if you're comfortable with retention projections. The calculator is agnostic — the output scales with the value you enter.
Is revenue uplift guaranteed after a winning A/B test?
A statistically significant win means the improvement is very likely real — but measured on your test segment during the test window. Monitor key metrics for 2–4 weeks after rolling out a winner before assuming the lift is permanent. Seasonal effects and traffic mix changes can affect results.
What counts as a "good" uplift from an A/B test?
Any statistically significant positive result is a win. In practice, meaningful tests on high-traffic pages move the needle by 5–20% relative. Incremental 3–5% gains compound over many tests — 10 tests per year at 5% average lift compounds to a ~63% improvement over a year.
Stop guessing.
Start testing.
Your first experiment — A/B test, popup, form, or heatmap — can be live in under 2 minutes. No developers, no contracts, no risk.