Conversion rate calculator with A/B test significance

Enter visitors and conversions to get the conversion rate of any page, form or checkout. Add a target to see what a better rate is worth, or a test variant to see if it really won.

ConversionsSite analytics · updates as you type
Unique visitors to the page or site this month
Visitors who completed a sign-up
The rate you want to reach
Average revenue or worth

Variant A is the page above. Enter the test variant’s numbers for the same period.

Conversion rate3.2%1 in 31 visitorsTypical
Sign-ups320from 10,000 visitors
At 4% target+80+$4,000 a month
Goal3.2% of 4% target
Now compared with the target rate
MetricNowAt targetChange
Experiment · A vs BB wins
Statistical confidence98.6%
Two-sided z-test · z = 2.46 · p = 0.014
Sample numbers. Replace them with yours.
  • Any conversion goal
  • Target and revenue gap
  • A/B test confidence
  • No sign-up

Add this tool to your site

Paste this code into any page. It stays free and updates automatically.

How it works

Traffic in, conversion rate out.
Plus whether your test really won.

  1. 01

    Pick the goal

    Choose what counts as a conversion (sign-ups, purchases, demo requests, form fills, trials, downloads or bookings) and whether you count visitors, sessions or clicks.

  2. 02

    Enter traffic and conversions

    Use the same period and the same page for both, straight from your analytics report.

  3. 03

    Add a target and value

    Optional: a target rate shows the extra conversions you'd get from the same traffic, and a value per conversion turns them into revenue.

  4. 04

    Compare a variant

    Optional: switch on the A/B test, enter variant B's numbers and get each rate, the uplift and the statistical confidence.

The formula

Conversion rate = Conversions ÷ Visitors × 100

Example: 320 sign-ups from 10,000 visitors is 320 ÷ 10,000 × 100 = 3.2%, or 1 in 31 visitors. At a 4% target the same traffic would bring 400 sign-ups, 80 more.

Conversion rate guide

Conversion rateWhat it usually means
5% or moreStrong for most pages. Common for warm traffic, simple offers and free sign-ups.
2–5%The range many sites and landing pages sit in. Worth testing, but not a problem.
1–2%On the low side, though normal for some ecommerce and cold paid traffic.
Below 1%Check the traffic source, the offer and your tracking before redesigning the page.

What conversion rate measures

Conversion rate is the share of your traffic that does the thing you want. On an online shop that is usually a purchase. On a SaaS site it might be a sign-up, a trial start or a demo request. On a content page it could be a download or a newsletter sign-up.

It is the clearest single number for how well a page turns attention into action. Traffic tells you how many people arrived. Conversion rate tells you whether the page did its job once they did.

This is different from lead conversion rate, which follows leads through a sales funnel to paying customers. Website conversion rate sits earlier: it measures the step from visit to action.

How to calculate conversion rate

Divide conversions by visitors for the same page and period, then multiply by 100.

  1. Pick one conversion goal, for example sign-ups.
  2. Take the visitors (or sessions, or clicks) for the same page and date range.
  3. Divide conversions by visitors and multiply by 100.

A worked example: 10,000 visitors and 320 sign-ups in a month gives 320 ÷ 10,000 × 100 = 3.2%. Put another way, 1 in 31 visitors signs up.

Which traffic number you use matters. Visitors count people and sessions count visits, so a session-based rate is usually lower. Clicks suit paid campaigns. Pick one and keep it when you compare periods.

What counts as a good conversion rate

There is no single good number. The rate depends on what you ask for, what it costs, how warm the traffic is and how many steps sit between the visit and the conversion.

  • A free newsletter or tool sign-up from search traffic can convert far higher than a paid plan.
  • Ecommerce stores often sit somewhere around 1–3%, with wide swings by product and price.
  • Many landing pages for B2B demos and trials sit in the low single digits.
  • Cold paid traffic usually converts lower than returning visitors or email traffic.

The most useful benchmark is your own history. Track the rate for each page and source, then aim to beat last quarter.

Small changes in the rate add up because they apply to all your traffic. In the example, moving from 3.2% to 4% on the same 10,000 visitors gives 400 sign-ups instead of 320. That is 80 more a month without paying for more traffic.

If each sign-up is worth $50 on average, the current 320 are worth $16,000 a month and the 4% target is worth $20,000: an extra $4,000. Use the average revenue or pipeline value a conversion brings, not the price of your top plan.

Reading an A/B test result

An A/B test splits traffic between the current page (A) and a variant (B). The question is whether the difference in conversion rate is real or just noise.

This calculator uses a two-sided, two-proportion z-test. Say A gets 320 sign-ups from 10,000 visitors (3.2%) and B gets 384 from 10,000 (3.84%). B converts 20% better. The test gives z = 2.46 and p = 0.014, which is 98.6% confidence. That clears the 95% bar most teams use, so B wins.

If B had only 340 sign-ups (3.4%), confidence would be 57.1%. That is not enough data yet: the gap could easily be chance. With rates that close you would need about 61,300 visitors per variant to call it.

Decide the sample size and run time before you start, run the test for full weeks so weekdays and weekends are both in, and don't stop the moment the number crosses 95%.

Common mistakes

  • Mixing periods or pages. Conversions from the whole site divided by visitors to one page gives a meaningless rate.
  • Counting duplicates. One person signing up twice, or a thank-you page reloaded, inflates conversions. Count each conversion once.
  • Ignoring tracking gaps. Ad blockers and consent banners mean some visits or conversions go unrecorded. Compare like with like.
  • Calling tests early. Peeking every day and stopping at the first good result finds winners that disappear later.
  • Chasing the rate alone. A cheaper offer can lift conversion rate while revenue falls. Watch the value per conversion too.

How to improve your conversion rate

  • Match the page to the traffic. The headline should answer what the ad, email or search result promised.
  • Make the next step obvious. One main call to action, visible without hunting for it.
  • Remove friction. Fewer form fields, faster load times, no surprise costs at checkout.
  • Show proof. Customer logos, reviews and specific results reduce the risk of saying yes.
  • Test one change at a time. You learn which change moved the number.

Better-matched traffic often helps more than a new button colour.

Follow those conversions through to paying customers with the Lead Conversion Rate Calculator. If the traffic comes from ads, check what it earns with the ROAS Calculator, and forecast what organic traffic is worth with the SaaS SEO ROI Calculator. If you need more buyers reaching the page in the first place, see our SEO services.

FAQ

Questions,
answered.

It is the share of visitors (or sessions, or clicks) that complete a goal you care about, such as a sign-up, purchase, demo request or download. It shows how well a page turns traffic into action.

Divide conversions by visitors for the same page and period, then multiply by 100. 320 sign-ups from 10,000 visitors is 320 ÷ 10,000 × 100 = 3.2%, or 1 in 31 visitors.

It depends on the offer, the price and how warm the traffic is. Many sites and landing pages sit around 2–5%, free sign-ups can convert higher, and ecommerce and cold paid traffic often convert lower. Your own past rate for the same page and source is the best benchmark.

Use whichever matches how you report, and keep it the same over time. Visitors count people, so the rate reads as the share of people who converted. Sessions count visits, so returning visitors lower the rate. Clicks suit ad campaigns and landing pages.

Conversion rate measures the step from visit to action on your website, such as visitors becoming sign-ups. Lead conversion rate follows leads through the sales funnel to paying customers. Use the Lead Conversion Rate Calculator for that.

Multiply your traffic by the target rate and subtract your current conversions. At 10,000 visitors, a 4% target gives 400 sign-ups instead of 320, so 80 more a month. At $50 per sign-up that is an extra $4,000.

Compare the two rates with a two-proportion z-test, which is what this calculator does. A at 320 of 10,000 (3.2%) against B at 384 of 10,000 (3.84%) gives z = 2.46, p = 0.014 and 98.6% confidence, so B's 20% uplift clears the usual 95% bar.

It depends on your rate and the size of the change you want to detect. Small differences need a lot of traffic: at 3.2% against 3.4% you would need about 61,300 visitors per variant to reach 95% confidence. If the result shows not enough data yet, keep the test running rather than stopping early.

No. It's free, with no sign-up or credit card, and nothing you enter leaves your browser. Your last numbers are saved on your device, and Copy link gives you a shareable link to the result.

Done-for-you

A good rate needs the right traffic.

We bring B2B buyers who already have the problem you solve, through search, AI recommendations and outbound, so more of your visitors convert.