Conversion rate = (conversions ÷ visitors) × 100.
If 1,000 people visit your landing page and 27 sign up, your conversion rate is 2.7%.
The arithmetic takes ten seconds. Everything that makes the number useful or misleading happens around it.
Worked examples
A waitlist page. 4,200 visitors, 189 email signups. 189 ÷ 4,200 = 0.045, so 4.5%.
A demo request page. 860 visitors, 12 booked calls. 12 ÷ 860 = 0.01395, so 1.4%. Low sounds bad until you price it: 12 sales conversations from one page is a working month for a founder.
An ecommerce product page. 15,300 sessions, 402 orders. 402 ÷ 15,300 = 0.02627, so 2.6%.
A paid campaign, by source. Same page, one month:
| Source | Visitors | Conversions | Rate |
|---|---|---|---|
| Google Ads | 2,100 | 84 | 4.0% |
| Reddit post | 3,600 | 18 | 0.5% |
| Newsletter | 400 | 44 | 11.0% |
| Blended | 6,100 | 146 | 2.4% |
The blended 2.4% describes nothing that happened. Three different things happened, and only one of them is a problem.
The denominator decides the answer
"Visitors" is ambiguous, and picking a different denominator changes the result without changing reality.
- Sessions counts repeat visits separately. Same person, three visits, three sessions.
- Unique visitors counts that person once, which usually raises the rate.
- Users who saw the form excludes people who bounced from the hero. Higher again, and useful for diagnosing the form specifically.
None is correct in the abstract. What matters is picking one, writing it down, and never switching mid-comparison. A rate that jumps when you changed the denominator is a reporting artefact.
How many conversions before the number means anything
A rate computed on a handful of conversions is noise wearing a decimal point.
At 20 conversions, a swing of three either way moves your rate by roughly 15% relative. You will read that as a trend. It is not.
Digital Applied, running 2,000 A/B tests across five funnel categories between October 2025 and March 2026, required a 95% significance threshold and a minimum of 1,000 sessions per variant, discarding tests that ran past 30 days without reaching it. About 11% of their tests were thrown out on that basis. A well-resourced team discarded one test in nine for insufficient data.
If you are below that, treat your conversion rate as a rough level rather than a measurement, and watch the intermediate steps of your conversion funnel instead.
A low rate is usually a traffic problem
Before rewriting the page, split by source, as in the table above. If one source converts normally and the others sit near zero, the page works and the traffic does not.
This is the single most common misdiagnosis. Founders rewrite a headline when the actual issue is a broad social post sending people who never wanted the thing.
What a good rate looks like
We measured what 675 live B2B SaaS companies ship, not what converts, so we cannot give you a benchmark. Anyone quoting one should say whose data it is.
Unbounce can: roughly 41,000 landing pages, 464 million pageviews and 57 million conversions. Their findings worth knowing before you judge your own number:
- Pages with one CTA link converted at 13.5%
- Two to four links: 11.9%
- Five or more: 10.5%
- Copy at a 5th to 7th grade reading level converted at 11.1%, against 5.3% at a professional reading level
Their population is people who bought a conversion optimization tool, which is a selected group. Read their numbers as "what tuned pages achieve", not as a universal average.
Why your rate might be structurally capped
Our crawl of 800 startup sites found the reason a lot of pages convert badly has nothing to do with wording.
30.7% of the 675 pages we scored had no call to action in the page body, excluding the navigation, header and footer. The median page carried 2 CTA elements and 1 distinct CTA label. The median form-field count was 0.
A page that never asks has a conversion rate determined entirely by how many visitors hunt for the header button. Calculating it more precisely will not help.
Quick reference
| You want | Formula |
|---|---|
| Conversion rate | conversions ÷ visitors × 100 |
| Conversions needed for a target rate | visitors × target rate ÷ 100 |
| Visitors needed for a target count | conversions ÷ (rate ÷ 100) |
| Relative lift between two rates | (new − old) ÷ old × 100 |
On that last row: moving 4% to 5% is a 25% relative lift, not a one-point improvement. Vendors quote the relative figure because it is larger. Both are true; only one is impressive.
Sources
- Unbounce, Conversion Benchmark Report. Approximately 41,000 landing pages, 464M pageviews, 57M conversions.
- Digital Applied, Landing Page Conversion: 2,000 Pages Tested (2026). Tests run October 2025 to March 2026.
- LeadzLander, The State of SaaS Landing Pages (2026). 800 attempted, 675 scored, collected 2026-07-25, seed 20260725.