A/B testing ROI calculator

What is a conversion lift worth?

Drag the sliders to see how much extra revenue a higher conversion rate brings in each month and over a year.

Your numbers

%
%
$

Extra revenue over 12 months

+$810,000

+$67,500 a month, 50.0% more per month.

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Target rateCurrent rate

Current monthly revenue

$135,000

900 conversions

Target monthly revenue

$202,500

1,350 conversions

Extra conversions a month

+450

at the same order value

Illustrative only: a direct calculation from your inputs, not a forecast of actual performance.

How the calculation works

The calculator uses three steps, all based on your inputs:

  1. Conversions = monthly visitors × conversion rate
  2. Monthly revenue = conversions × average order value
  3. Annual gain = (target revenue − current revenue) × 12

A worked example

A site with 45,000 monthly visitors converting at 2% earns 900 orders a month. At a $150 average order value that is $135,000. Lift the rate to 3% and it becomes 1,350 orders, or $202,500: an extra $67,500 a month and $810,000 over a year.

Before running a test, check it can detect the lift you care about with the sample size calculator.

Questions, answered

How do you calculate the ROI of an A/B test?

Multiply monthly visitors by the change in conversion rate to get extra conversions, then multiply by average order value. That gives the extra monthly revenue; multiply by 12 for a year. Compare it with what the test cost to run.

What is a good conversion rate?

It depends on industry, traffic source, and price. Many ecommerce sites sit between 1% and 4%, while B2B lead forms vary widely. Your own current rate is the most useful baseline.

Why does a small conversion lift make such a big difference?

Revenue scales linearly with conversion rate. Going from 2% to 3% is a one-point change but a 50% increase in conversions, and that increase repeats every month.

Is this a forecast?

No. It is a direct calculation from the values you enter. Real results depend on whether a lift holds, seasonality, and traffic changes.

How long would a test need to run to detect this lift?

That depends on traffic and the size of the change. Use the sample size calculator to estimate visitors and duration.