Sequential or simultaneous A/B tests?

Always simultaneous to avoid time-based confounding.

Business

Conversion Rate Calculator

Calculate conversion rate from visitors and conversions. Run A/B test significance analysis to compare variants.

Quick Answer

Conversion Rate = (Conversions ÷ Visitors) × 100. If 250 out of 10,000 visitors convert, your rate is 2.50%.

Variant A

Visitors

Conversions

Variant B (optional, for A/B test)

Visitors B

Conversions B

Results

2.50%

Conversion Rate (A)

About the Conversion Rate Calculator

Conversion rate is the percentage of visitors who complete a desired action on your website, landing page, or app. That action could be a purchase, signup, download, form submission, or any other goal you define. It is one of the most important metrics in digital marketing because it directly measures how effectively your page turns traffic into results.

How Conversion Rate Is Calculated

The formula is simple: Conversion Rate = (Number of Conversions ÷ Number of Visitors) × 100. If your landing page received 5,000 visitors and 150 signed up, your conversion rate is 3.0%. This calculator also supports A/B testing by comparing two variants to determine if the difference in performance is statistically significant at the 95% confidence level.

What Is a Good Conversion Rate?

Average conversion rates vary by industry and channel. E-commerce sites typically see 2-4%, while SaaS free trial pages average 3-8%. Landing pages optimized for a single CTA can reach 10% or higher. The top 10% of landing pages convert at 11% or above. Rather than chasing an industry benchmark, focus on improving your own rate over time through systematic testing.

A/B Testing Significance

This tool uses a two-proportion z-test to determine if the difference between two conversion rates is statistically significant. A result is significant at the 95% confidence level when the z-score exceeds 1.96 in absolute value. This means there is less than a 5% probability that the observed difference is due to random chance. You need sufficient sample size for reliable results, typically at least a few hundred conversions per variant.

Improving Your Conversion Rate

Start by identifying where visitors drop off using analytics and heatmaps. Test one element at a time: headlines, CTAs, form fields, social proof, page speed, and layout. Reduce friction by minimizing required fields and steps. Add trust signals like testimonials, security badges, and guarantees. Mobile optimization is critical since over half of web traffic comes from mobile devices.

Frequently Asked Questions

What is a conversion rate?

Conversion rate is the percentage of visitors who complete a desired action. If 100 people visit your page and 5 buy, your conversion rate is 5%. It measures how effective your page is at turning traffic into results.

How much traffic do I need for a valid A/B test?

You generally need at least 100 conversions per variant for reliable results. The exact number depends on your baseline conversion rate and the minimum detectable effect. Use a sample size calculator to plan tests properly.

What is statistical significance in A/B testing?

Statistical significance means the observed difference between two variants is unlikely to be due to random chance. At the 95% confidence level, there is less than a 5% probability the result is a fluke. This tool uses a z-test to calculate significance.

Should I run A/B tests sequentially or simultaneously?

Always run tests simultaneously. Sequential testing introduces time-based confounding variables like day-of-week effects, seasonal trends, and traffic source changes that can invalidate your results.

How long should I run an A/B test?

Run tests for at least one full business cycle (usually 1-2 weeks) to account for day-of-week variations. Never stop a test early just because results look good, as this leads to false positives. Wait for statistical significance with adequate sample size.