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Conversion rate lift calculator

This calculator shows the revenue you would get from the same visitors if more of them bought. You enter monthly visitors, your current conversion rate, your average order value and the lift you expect in percentage points. It returns revenue now, revenue after, the monthly difference and the yearly total. The lift is added in points, not multiplied: a 2.0 percent rate with a 0.5 point lift becomes 2.5 percent. The tool assumes traffic and average order value stay the same, so what you see is the value of fixing the site rather than buying more clicks. It does not tell you how to get the lift or whether your test is statistically sound.

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Extra revenue per month

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Monthly revenue now
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Monthly revenue after the lift
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Extra revenue per year
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Plain arithmetic on your inputs. Nothing is sent anywhere. Not a forecast.

The calculation step by step

Revenue now is visitors multiplied by conversion rate multiplied by average order value. With 20,000 visitors, a 2.0 percent rate and a 75 dollar average, that is 400 orders and 30,000 dollars. Revenue after uses the same visitors and average but the new rate. Add 0.5 points to reach 2.5 percent and you get 500 orders and 37,500 dollars. The monthly difference is 7,500 dollars, and over twelve months that is 90,000 dollars, all from the traffic you were already paying for or earning.

Points versus percent, and why it matters

The lift input is in percentage points because that is how test tools report conversion rate changes and how you will see them in analytics. Half a point sounds small. On a 2.0 percent base it is a quarter more orders. If someone promises a lift as a relative percentage, convert it: a relative rise of 25 percent on a 2.0 percent rate is 0.5 points. Enter that, not 25. Entering the relative figure as points would claim a 27 percent conversion rate, which is why the tool caps the lift input.

What a conversion lift does to your other levers

Conversion is the lever that changes the price of everything else. When more visitors buy, every paid click costs less per order, so the same ad budget produces a lower CAC and a higher ROAS without touching a campaign. Email and organic traffic produce more orders too. And each extra order is a customer who can come back, which feeds the repeat purchases lever later. If your conversion rate is below where similar traffic should convert, fixing the product page and checkout usually returns more per dollar than adding spend.

Questions

Use whichever your conversion rate is calculated on. Most analytics tools report conversion rate per session, so enter sessions. Mixing sessions with a rate based on users will give you a wrong answer in both directions.

It depends on where you start and what you change. Fixing a broken mobile checkout can move more than that. Changing a button colour usually moves nothing. Use the tool to value the outcome you are testing for, then decide if the test is worth running.

Not directly. If a change only affects traffic to product pages, enter the visitors who reach product pages and the conversion rate of those visitors rather than the site-wide figures.

To isolate the conversion effect. Some changes that lift conversion, such as a discount, also lower average order value. If yours does, run the average order value calculator with a negative adjustment in mind and net the two.

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