By Mehdi HassanHow do you calculate a landing page conversion rate?
You calculate a landing page conversion rate by dividing conversions by visitors and multiplying by 100. If 2,000 people visit a page in a month and 40 submit the form, the conversion rate is 40 ÷ 2,000 × 100 = 2%. Both numbers must come from the same page, the same date range and the same traffic filters.
The formula is simple. The decisions around it aren't: which counts as a visitor, which action counts as a conversion, and which stage of the funnel you're measuring. Getting those wrong is how two people look at the same page and report different rates. This guide is part of our hub on heatmap analysis, and it covers the measurement side that every behavior review depends on.
- Unbounce's median landing page conversion rate across industries
- 6.6%
- Unbounce's median for SaaS landing pages
- ~3.8%
- Visitor-to-lead range other sources report for B2B SaaS
- 1.5–5%
Those benchmarks conflict because they measure different things on different traffic. Use them as context, not targets; our guide to landing page conversion rate benchmarks breaks them down by traffic source and offer.
What is the conversion rate formula?
The conversion rate formula is conversions divided by the total number of opportunities to convert, multiplied by 100. On a landing page, the opportunities are visitors or sessions; at later funnel stages, they're the people who reached the previous stage.
Rate | Formula | What it tells you |
|---|---|---|
Page conversion rate | Conversions ÷ visitors × 100 | How well the page turns visits into the goal action |
Visitor to lead | Leads ÷ visitors × 100 | How well the site captures interest |
Lead to qualified lead (MQL or SQL) | Qualified leads ÷ leads × 100 | Whether the page attracts the right people |
Qualified lead to customer | Customers ÷ qualified leads × 100 | How well sales closes the leads you send |
Visitor to customer | Customers ÷ visitors × 100 | The end-to-end efficiency of the funnel |
Each stage uses the previous stage as its denominator, so the rates multiply. A 3% visitor-to-lead rate, a 30% lead-to-qualified rate and a 20% qualified-to-customer rate together give a visitor-to-customer rate of 0.18%. Those three stage figures are illustrative, but the arithmetic shows why a small change at one stage changes the whole funnel.
Should you divide by users or sessions?
Divide by users if you want to know what share of people converted, and by sessions if you want to know what share of visits converted. Users give a higher rate because one person can visit several times. Either is fine; switching between them isn't.
For B2B landing pages with long buying cycles, users is usually the better denominator, because a buyer who visits three times before booking a demo is one success, not one success out of three. For paid campaign pages where each click costs money, sessions can be more useful, because each session is a paid opportunity. Write the choice down and use it in every report. If you're setting up the events behind these numbers, our guide to landing page conversion tracking shows how on Framer, Webflow and Next.js.
What is the difference between macro and micro conversions?
A macro conversion is the main goal of the page, such as a demo booked or a trial started. A micro conversion is a smaller step toward it, such as clicking the call to action, watching a product video or reaching the pricing section.
Micro conversions are diagnostic. If many visitors click the call to action but few submit the form, the form is the problem. If few reach the pricing section, the page above it is. They're useful for finding where people drop off, but they shouldn't be reported as the conversion rate, because they make the page look better than it performs. Pair micro conversion data with scroll depth and rage click signals to see what stops people between steps.
Which conversion rate actually matters?
The conversion rate that matters most is the one closest to revenue that you can measure reliably, usually lead to qualified lead or qualified lead to customer. The page conversion rate matters too, but only alongside lead quality.
A page can raise its visitor-to-lead rate by making the offer vaguer, removing qualifying fields or promising more than the product delivers. Leads go up, and sales spends the month on people who were never going to buy. That's why we judge landing page changes on qualified leads where the data allows. Benchmarks for the later stages differ a lot by motion; see SaaS conversion rate benchmarks, demo request conversion rate and free trial conversion rate for each.
Hypothetical example: two pages, two rates, one winner
For example, suppose a startup runs two landing pages for the same campaign.
Page A converts 4% of visitors to leads. Of those leads, 20% become qualified.
Page B converts 2.5% of visitors to leads, because its form asks for company size and its copy states the price range. Of those leads, 50% become qualified.
Per 1,000 visitors, Page A produces 40 leads and 8 qualified leads. Page B produces 25 leads and 12.5 qualified leads. Page B has the lower conversion rate and the better result.
These figures are invented to show the arithmetic. The lesson is real: judge pages on the stage closest to revenue you can measure.
How do you keep conversion rate data clean?
Keep conversion data clean by excluding traffic that isn't real buyers and conversions that aren't real leads. On small pages, a handful of test submissions or an internal team visiting daily can move the rate noticeably.
- Exclude internal traffic with GA4's internal traffic filter or by excluding your office IP range.
- Remove test and spam leads from the conversion count, and delete test leads from the CRM after each QA pass.
- Filter bot traffic. GA4 excludes known bots automatically, but spikes from a single source deserve a check.
- Use a long enough window. A week of data on a low-traffic page is mostly noise. Compare months, or rolling 28-day periods.
- Note changes. Log redesigns, new campaigns and tracking changes, so a jump in the rate isn't mistaken for improvement.
Speed also affects the rate, though less dramatically than popular claims suggest; our guide to whether website speed affects conversions sorts the real evidence from recycled myths.
How should you report conversion rate to your team?
Report conversion rate as a short funnel, not a single number: visitors, leads, qualified leads and customers, with the rate between each stage, the date range and the denominator. That shows where the funnel is weak and stops debates about whose number is right.
Review it monthly, compare against your own previous months before any external benchmark, and tie every change on the page to the stage it was meant to improve. When a stage looks weak, our conversion rate definition is a useful shared reference for the team, and conversion tracking for lead-gen websites covers how to connect each stage from form to CRM.
