Landing Page Conversion Rate Calculator
Calculate a landing page's conversion rate from form submissions or sign-ups and page visitors, and know when a difference between two pages is real.
- Visitors per conversion
- 20
Results update as you type. Values are kept in the URL, so you can share or bookmark this exact calculation.
How does this compare?
All Google Ads benchmarks39% below All industries · Conversion rate
LocaliQ / WordStream, Search Advertising Benchmarks 2026 — 13,474 search campaigns, minimum 52 active campaigns per subcategory, 1 Apr 2025 – 31 Mar 2026. Figures are medians. Report · Published in USD
What this sample is
13,474 US search campaigns (Google Ads and Microsoft Ads), lead-generation heavy
- Despite the 'Google Ads' title, the publisher describes the sample as search campaigns across Google Ads and Microsoft Ads.
- Figures are medians, not means — the publisher notes this is to limit the effect of outliers.
- Weighted to the agency's own customer base, which is SMB and lead-generation heavy.
- The all-industry row is the publisher's own figure. It is not the mean of the rows above, and the two should not be presented as the same number.
- Cost per acquisition is cost per lead in this report: Career & Employment and Health & Fitness both print $67.36, and Automotive — For Sale and Sports & Recreation both print $44.26. Verified as printed on the publisher's page.
Conversion Rate on Landing pages
A landing page's conversion rate is conversions (form fills, sign-ups, demo requests) ÷ unique visitors to the page. Use unique visitors, not pageviews — reloads and back-button visits inflate the denominator. Segment by traffic source before judging the page: the same page converts differently for paid search, paid social and email traffic because visitor intent differs.
Comparing two pages — or two versions of one — is where most conversion-rate decisions go wrong. A 5.0% vs 4.4% difference on 3,800 visitors each is inside normal random variation. Compute the rate here, then check whether the gap is significant with the A/B Test Significance Calculator before declaring a winner or rewriting the page.
Formula
Conversion rate (%) = Conversions ÷ Visitors × 100 Visitors per conversion = Visitors ÷ Conversions
How to read Conversion Rate
Conversion rate is the share of visits, sessions or clicks that end in the action you care about — a purchase, a lead, a sign-up. It is the multiplier that turns traffic into results, which is why a small change in conversion rate moves revenue as much as a large change in traffic.
Be explicit about the denominator. Conversions ÷ users, ÷ sessions and ÷ ad clicks give three different rates for the same campaign. Pick one definition per report and keep it, or comparisons between periods and channels become meaningless.
Frequently asked questions
- What is a good landing page conversion rate?
- Lead-generation pages for paid traffic commonly convert in the low-to-mid single digits, and well-targeted pages with a strong offer run well above that. The traffic source matters as much as the page: email and retargeting visitors convert at several times the rate of cold paid social.
- Should I count every form submission?
- Count qualified submissions if you can — spam, duplicates and test entries inflate the rate. If your form tool tags them, exclude them; if not, track them separately so the trend is not distorted by a bot burst.
- What is a good conversion rate?
- It varies by industry, traffic source, device and the action being measured. E-commerce purchase rates are commonly low single digits; lead forms on paid search can be far higher. Your own rate by channel, tracked over time, is the only benchmark that leads to good decisions.
- Sessions or users — which should I use?
- Use sessions when judging landing pages and campaigns (one visit, one chance to convert). Use users when judging the overall funnel over a longer window, since one person may visit several times before converting.
- How many visitors do I need to detect an improvement?
- That is a sample-size question, not a conversion-rate question. At a 2% baseline, detecting a relative 10% lift with 95% confidence needs tens of thousands of visitors per variant. A sample size calculator gives the exact figure for your numbers.