Conversion rate
Also: CVR, CR, Conversion ratio, Taux de conversion
The percentage of visitors or prospects who complete a desired action (purchase, sign-up, contact form), calculated as conversions divided by total opportunities.
What it is
Conversion rate is the share of people who complete a defined target action out of everyone who had the opportunity to do so. It is expressed as a percentage:
Conversion rate = (Conversions / Total opportunities) x 100
A "conversion" is any action you decide to measure: a purchase, a sign-up, a demo request, a filled contact form, a file download, or a subscription. "Total opportunities" is usually visitors, sessions, or qualified leads, depending on what you are measuring.
Why it matters
Conversion rate turns raw traffic into a measure of effectiveness. Two campaigns can bring the same number of visitors, but the one with a higher conversion rate produces more results from the same volume. It is central because:
- It links activity (traffic, reach) to outcomes (revenue, leads).
- It is a lever you can improve without buying more traffic.
- It exposes friction in a funnel, page, or process.
How it is used in practice
- Define the action precisely. "Sign-up" and "paid subscription" are different conversions with different rates.
- Match numerator and denominator. If you count purchases, the base should be sessions or users who could purchase, not raw pageviews.
- Segment. Overall rate hides differences by channel, device, geography, or audience.
- Compare against a baseline. A rate is only meaningful against history, a target, or a control group (A/B test).
- Watch the funnel. A single conversion rate often decomposes into step rates (visit to cart, cart to checkout, checkout to paid).
Worked example
An e-commerce site gets 50,000 sessions in a month and records 1,500 orders.
- Conversion rate = 1,500 / 50,000 = 3.0%
Suppose average order value is 80 EUR. Monthly revenue is 1,500 x 80 = 120,000 EUR.
Now the team runs an A/B test on the checkout page and lifts the rate to 3.6% with the same traffic:
- New orders = 50,000 x 3.6% = 1,800
- New revenue = 1,800 x 80 = 144,000 EUR
That is 24,000 EUR extra per month with no additional ad spend, purely from a 0.6 point improvement.
Common pitfalls
- Comparing rates across mismatched denominators.
- Ignoring statistical significance in tests with small samples.
- Optimizing conversion rate while quietly lowering value per conversion.
See also
Frequently asked questions
How do you calculate a conversion rate?
Divide the number of conversions by the total number of opportunities, then multiply by 100. A site with 1,500 orders from 50,000 sessions has a 3.0% conversion rate. A conversion is whatever action you decide to measure: a purchase, a sign-up, a demo request, a form submission or a download.
What's the difference between conversion rate and traffic volume?
Traffic measures activity, conversion rate measures effectiveness. Two campaigns can deliver identical visitor counts, but the one converting at a higher rate produces more results from the same volume. That is why conversion rate is a lever you can improve without buying more traffic.
Is CVR the same thing as conversion rate?
Yes. CVR, CR, conversion ratio and taux de conversion all refer to the same metric: the share of people completing a defined target action out of everyone who had the opportunity to do so. CVR is the abbreviation most common in advertising and analytics tools.
What does a 0.6 point gain in conversion rate actually earn?
On 50,000 monthly sessions with an average order value of 80 EUR, moving from 3.0% to 3.6% takes orders from 1,500 to 1,800, so revenue from 120,000 to 144,000 EUR. That is 24,000 EUR extra per month with no additional ad spend. Small point gains compound because they apply to traffic you already pay for.
What are the most common mistakes when reading a conversion rate?
Three recur: comparing rates built on mismatched denominators (purchases over pageviews rather than over sessions), ignoring statistical significance in tests run on small samples, and lifting the rate while quietly reducing value per conversion. A global rate also masks large differences by channel, device or geography, so segment before drawing conclusions.