Conversion Rate Calculator
The formula is one division — conversions divided by visitors — and the honest work is everywhere else around it. Which stage did you measure? A landing page converting 3% of visitors to leads is performing well; an e-commerce store converting 3% of visitors to purchase is above average; a SaaS trial converting 3% to paid is in trouble. Benchmarks quoted without their stage are the leading source of unnecessary redesigns, because 'we're below 5%' is meaningless when the 5% figure came from a different funnel step. This calculator does the division, adds cost per conversion from your spend, and then answers the question the rate alone cannot: what the benchmark is worth on your traffic — the exact number of conversions you gain or lose at the target rate, which is what turns 'we should improve conversion' into a sized opportunity with a value attached.
The short answer
Conversion rate is conversions ÷ visitors — 60 signups from 2,000 visitors is 3%. The benchmark trap: 3% is decent for visitor-to-lead, strong for visitor-to-purchase, and dire for lead-to-customer. The same number means different things at different funnel stages, and comparing across stages is how optimization priorities get set wrong.
Or leads, if you are auditing the lead→customer stage — just keep both inputs at the same stage.
Whatever the stage counts: form fills, signups, purchases.
Optional — spend behind this traffic for the cost-per-conversion row.
2.5% is a fair visitor→lead default; e-commerce checkout benchmarks run 2-4%. Use your own history when you have it.
Conversion rate
3.00%
60 ÷ 2,000. Same stage only: 3% visitor→lead is decent, 3% visitor→purchase is strong, 3% lead→customer is dire.
- At the 2.50% target
- 50 conversions
- Cost per conversion
- $15.00
You are 10 conversions ahead of the benchmark on this traffic.
Spend ÷ conversions. Judge it against what a conversion is worth at that funnel stage, not against another stage's number.
How to use Conversion Rate Calculator
- 1
Pick one funnel stage and stay on it
Decide what 'conversion' means for this analysis — form fill, signup, purchase — then use visitors and conversions from that same stage only.
- 2
Enter visitors, conversions and spend
Traffic for the period, the conversions that came from it, and the ad spend behind the traffic if you want cost per conversion.
- 3
Set a target and read the gap
The benchmark row converts your rate gap into conversions — the sized value of closing the gap, before any redesign gets budgeted.
Why use this tool
- Rate, cost per conversion, and benchmark gap from three inputs
- The funnel-stage trap stated on the result — same-stage comparisons only
- Benchmark gap in conversions, not percentages — a sized opportunity
- Works for any stage: visitor→lead, visitor→purchase, lead→customer
- 2.5% visitor→lead default, overridable with your own history
- Private — traffic and spend figures never leave the browser
Frequently asked questions
- What is the conversion rate formula?
- Conversions divided by visitors, times 100. Sixty signups from 2,000 visitors is 60 ÷ 2,000 = 3%. The division is trivial; the discipline is in keeping the numerator and denominator at the same funnel stage and the same time window.
- What is a good conversion rate?
- Depends entirely on the stage: 2-5% is typical for visitor→lead on a landing page, 2-4% for visitor→purchase in e-commerce, and 3% would be struggling for lead→customer in B2B SaaS where double digits are the norm. Any benchmark without its stage attached is noise — which is the error this calculator names on its result.
- How do I calculate cost per conversion?
- Ad spend divided by conversions. $900 producing 60 conversions is $15 each. Judge the $15 against what a conversion at that stage is worth — if a lead closes at 20% for $500 profit, $15 is a bargain; if the conversion is the sale itself, compare against your margin per order using the ROAS calculator.
- Why is my conversion rate below the industry benchmark?
- First check the stage mix: benchmarks usually mean visitor→lead or visitor→purchase, and traffic quality differs — paid social converts lower than branded search by design, not by defect. Second check the window: a rate averaged over months hides that a form was broken for a week. Only after both does the optimization backlog start.
- How do I know if conversion optimization is worth it?
- Size the gap before budgeting the work: this calculator converts your rate deficit into missed conversions on traffic you already have. Forty missed leads a month at a known close rate and deal value is a number to weigh against a redesign quote — 'below benchmark' alone has never justified a budget.
- Should I average conversion rates across channels?
- No — averaged rates hide which channel drives volume versus value. A 5% rate on 100 visitors and 1% on 10,000 visitors average to a 1.4% that describes neither. Report rates per channel and the blended rate separately, and remember the blend moves when the traffic mix shifts even if nothing on the page changed.
- How many visitors do I need before trusting a rate change?
- Rates on small samples swing wildly — 3 conversions on 100 visitors is a 3% rate that could easily be 1% or 6% on the next hundred. Before declaring an improvement real, size the test with the A/B sample size calculator; for a typical 10% relative lift that means tens of thousands of visitors per variant.
How many visitors per variant does your A/B test need? Baseline rate, minimum detectable effect, power and significance — the standard two-proportion formula, free.
Set target ROAS from your gross margin, not a screenshot: break-even ROAS, the tROAS that leaves real profit per order, and the max CPC that clears it. Free.
Calculate CPM from spend and impressions, see the viewable CPM behind it, and plan what any budget buys. Free, no sign-up, runs in your browser.