Conversion Rate Calculator
Calculate conversion rates and compare test variants
Results are estimates and may not reflect your actual financial situation. This is not financial, tax, or legal advice. Consult a qualified professional.
How to use
Choose a mode: calculate your conversion rate from visitors and conversions, find how many visitors you need for a target number of conversions, or compare two A/B test variants to measure conversion lift. Enter your numbers and results appear instantly.
Formula
Examples
Landing page performance
Your landing page received 5,000 visitors last month and 150 signed up. That is a 3% conversion rate. To reach 200 signups, you would need about 6,667 visitors at the same rate.
A/B test comparison
Variant A: 2,000 visitors, 60 conversions (3.0%). Variant B: 2,000 visitors, 84 conversions (4.2%). Variant B has a 1.2% absolute lift and 40% relative improvement over A.
E-commerce checkout
10,000 product page views and 320 purchases gives a 3.2% conversion rate. To reach 500 purchases per month at this rate, you need about 15,625 visitors.
Frequently asked questions
What is a good conversion rate?
It depends heavily on context. E-commerce sites average 2-3%. SaaS free trial signups range from 3-10%. Landing pages targeting warm leads can hit 10-25%. Compare against your own historical data and industry benchmarks rather than generic averages.
What is the difference between absolute and relative lift?
Absolute lift is the raw percentage point difference (e.g., from 3% to 4.5% is +1.5pp). Relative lift expresses the improvement as a percentage of the original (1.5 / 3 = 50% relative lift). Both are useful: absolute shows the real-world impact, relative shows the magnitude of improvement.
How do I increase my conversion rate?
Common approaches include simplifying forms, improving page load speed, writing clearer copy and CTAs, adding social proof (testimonials, reviews), reducing friction in the checkout process, and targeting higher-intent traffic sources. Test one change at a time to isolate what works.
How many visitors do I need for a statistically significant A/B test?
It depends on the expected lift size and your baseline conversion rate. Generally, you need at least 1,000-5,000 visitors per variant for a meaningful test. Smaller expected improvements require larger sample sizes. Use a dedicated A/B test significance calculator for precise sample sizing.
Should I track micro-conversions or macro-conversions?
Track both. Macro-conversions are your primary goal (purchase, signup). Micro-conversions are smaller steps along the way (add to cart, email open, video play). Micro-conversions help diagnose where visitors drop off and give you faster feedback on optimization efforts.
About this tool
Calculate your conversion rate from visitors and conversions. Find how many visitors you need, compare A/B test variants, and track conversion lift.
All calculations are performed locally in your browser. Your data never leaves your device.