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Conversion Rate Calculator

Visitors and conversions produce your rate. Add a target rate and order value to see what closing the gap is worth.

Free toolsConversion & TestingReviewed September 2026

Visitors and conversions

Unique visitors, users, or sessions for the period. Use the same base every time.

Purchases, leads, sign-ups: whatever counts as the goal.

What a lift is worthOptional. Prices the gap between your rate and a target.

The rate you want to reach.

Or value per lead, if that is your conversion.

PlanningOptional. Works backward from a conversion goal.

The tool works out how many visitors that takes at the current rate.

Conversion rate

–

Conversions ÷ visitors

Per 1,000 visitors
–
Conversions
Visitors needed
–
At the current rate
Extra conversions
–
Needs a target rate
Extra revenue
–
Needs a target and order value

Runs entirely in your browser. Nothing you enter is stored or sent anywhere. Last reviewed September 2026.

Conversion rate is a ratio, so both halves matter

A conversion rate only means something when you know what went into it. Conversions divided by visitors is the whole formula, but "visitors" can be sessions, users, or clicks, and "conversions" can be purchases, form fills, or a pixel that fires on a thank-you page. Change either definition and the rate moves without anything in the business changing. Fix both definitions before you compare two numbers.

The per-1,000 view is the same number expressed in a way that is easier to reason about. Twenty conversions per thousand visitors is concrete: it tells you what another thousand visitors from a campaign are worth, and it makes a 0.5 point change visible as five more conversions per thousand. That is why the target rate matters. Enter one and the tool multiplies the gap by your traffic and order value, which turns a conversion optimisation debate into a revenue figure you can put next to the cost of acquiring the same number of customers through media.

Two cautions. First, a blended site-wide rate hides the mix: a spike in low-intent traffic will drag the rate down while conversions are flat, so read the rate alongside the raw counts. Second, small absolute changes on large bases are real money, while large relative swings on small bases are usually noise. If you are judging a test rather than a trend, use the A/B test significance calculator instead.

Formulas

Conversion rate
= Conversions ÷ Visitors
Conversions per 1,000
= Conversion rate × 1,000
Extra conversions
= (Target rate − Conversion rate) × Visitors
Extra revenue
= Extra conversions × Average order value
Visitors needed
= Conversions needed ÷ Conversion rate

Frequently asked questions

What is a good conversion rate?

It varies by channel, industry, and what you count as a conversion. Ecommerce sites converting visitors to purchases usually sit in the low single digits. B2B sites converting visitors to a form fill or demo request often sit lower, while a landing page fed by warm email traffic can convert far higher. Compare against your own history and your own segments (channel, device, new versus returning) rather than a published average, because the denominator behind the average is rarely the same as yours.

Should the denominator be sessions, users, or visitors?

Pick one and keep it. Sessions produce a lower rate than users because one person can visit several times before converting. Neither is wrong, but mixing them across reports makes the trend meaningless. For most marketing dashboards, users (unique visitors) over the period is the cleaner base, since it answers the question "what share of people converted."

What is the difference between a relative and an absolute lift?

Going from 2.0% to 2.5% is an absolute lift of 0.5 percentage points and a relative lift of 25%. Testing tools usually report relative lift, which sounds large. Finance cares about the absolute number of extra conversions and the revenue they carry, which is why this tool multiplies the gap by your visitors and order value.

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