Conversion Rate Calculator
Enter visitors and conversions to get the rate, expressed three ways: the percentage, how many visitors it takes to produce one conversion, and how many did not convert. Add a target rate and the page works backwards — how many conversions the same traffic would have to produce, and how much extra traffic would be needed to get there the other way.
What happened
Sessions, users, leads — whatever the top of this step is.
Signups, purchases, bookings — the action you count.
What would it take (optional)
The rate you want to reach, in percent.
Result
Enter visitors and conversions to see the rate.
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A 2.4% conversion rate and “one conversion for every 42 visitors” are the same fact, but only the second one tells you what a day looks like. It also makes small-sample noise obvious: if you get 60 visitors a day, one conversion per 42 means some days have two and some have none, and neither day means anything. Rates below about 1% are especially misleading in percentage form — 0.4% and 0.8% look adjacent, but they are 1-in-250 and 1-in-125, a doubling. This calculator shows both readings so a decision never rests on the flattering one.
The denominator decides the number
Conversion rate is not one metric, it is a family, and the arguments about it are almost always about the denominator rather than the maths. Sessions, unique users, new users, users who reached the page, and qualified leads all give different rates from the same conversions — usually differing by a factor of two or more. None of them is wrong; mixing them is. Pick one denominator, write it down, and use it consistently, because a rate that “improved” after someone switched from sessions to users improved by nothing at all. The same discipline applies to the date ranges on the two numbers you type in here.
Two ways to hit a target, and only one of them is a conversion problem
When you set a target rate, this page shows both levers side by side. The first is the conversion count the same traffic would have to produce — that is the CRO answer, and it means changing the page, the offer, or the audience. The second is the traffic today’s rate would need to reach to produce the same number of conversions — that is the acquisition answer, and it is usually the expensive one. Both are shown deliberately: a target rate cannot be reached by buying more traffic (more visitors at the same rate leaves the rate exactly where it was), so if the plan is "more traffic", the rate is the wrong goal to be tracking.
Frequently asked questions
How do you calculate conversion rate?
Divide conversions by visitors and multiply by 100. Three hundred and seventy-five signups from 12,500 visitors is 375 ÷ 12,500 = 0.03, or 3%. The only real decision is what counts as a visitor — sessions, users, or people who reached a particular step — and it has to be the same population the conversions came from.
What is a good conversion rate?
It depends so heavily on traffic source, price point, and what "conversion" means that cross-industry benchmarks are close to useless. A newsletter signup and a $4,000 purchase are both conversions and they are not on the same scale. The only comparison that reliably means something is your own rate over time, measured the same way — which is what this calculator is for.
How many more conversions do I need to go from 2% to 3%?
Half again as many, at the same traffic — that is a 50% relative improvement even though it reads as "one point". Enter your current numbers and 3 as the target rate and the exact figure appears, along with the traffic it would take to reach the same conversion count without improving the page at all.
Why is my conversion rate over 100%?
Because there are more conversions than visitors in the numbers you entered. That usually means the two figures cover different date ranges, come from different tools, or count different things — repeat purchases against unique visitors, for example. The calculator flags it rather than hiding it, because the rate itself is not the problem, the pairing is.
Does a higher conversion rate always mean things are better?
No, and this is worth knowing before you optimise for it. Cutting a poorly-converting traffic source raises the average rate while lowering total conversions. So does making a form harder to reach, if the people it deters would have converted at a low rate. Read the rate next to the absolute conversion count, and treat a rate that improved while the count fell as a warning rather than a win.