Conversion Rate Calculator
Measure how efficiently your traffic turns into customers, leads, or signups. Compare test variants, set conversion goals, and forecast revenue from future traffic.
Conversion Rate
3.50%
Revenue per Visitor
—
Required at Target Rate
50
Additional Conversions Needed
15
A/B Test Calculator
Compare control versus variant performance and estimate if the lift is statistically meaningful.
Control
Variant
Control Rate
2.60%
Variant Rate
3.36%
Difference
+0.76%
Significance Estimate
Not yet statistically significant. Gather more traffic before deciding.
Z-score: 1.58
Goal Calculator
Set a target rate to see how many conversions your current traffic needs.
Conversions Needed
50
Extra Needed from Current
15
Revenue Projector
Estimate future revenue from your current conversion rate, projected traffic, and average order value.
Projected Revenue
$21,000.00
Based on 3.50% × 5,000 visitors × $120.00 AOV.
Industry Benchmarks
Ecommerce
2% to 3%
SaaS
5% to 7%
Landing Pages
10% to 15%
How to Use
- Enter your total visitors and conversions to calculate your current conversion rate.
- Add revenue if you want to see revenue per visitor and benchmark monetization efficiency.
- Use the A/B test section to compare a control against a variant and check the estimated significance.
- Set a target conversion rate and projected traffic to calculate how many conversions or revenue you need to hit your goals.
Frequently Asked Questions
How do you calculate conversion rate?
Conversion rate equals total conversions divided by total visitors, multiplied by 100. For example, 50 conversions from 2,000 visitors is a 2.5% conversion rate.
What counts as a conversion?
A conversion can be any goal you care about, including sales, email signups, booked demos, app installs, or completed lead forms. The right definition depends on your funnel.
What is a good conversion rate?
It depends on the channel and industry. Ecommerce sites often convert around 2% to 3%, SaaS funnels may land around 5% to 7%, and focused landing pages can reach 10% to 15% or more.
How much traffic do I need for an A/B test?
There is no single number that fits every test, because needed sample size depends on your baseline rate and the size of the lift you want to detect. In general, larger sample sizes produce more reliable significance estimates.