Conversion Rate Calculator

This calculator turns a visitor count and a conversion count into a conversion rate, then uses your average order value to show total revenue, revenue per visitor, and what a higher target rate would be worth. It works for any goal you count: purchases, sign-ups, demo requests, downloads or form fills on a single landing page.

The result is only as good as the two counts you feed it. Use the same date range, the same traffic segment and the same unit (sessions or unique users) for both numbers, and count each order or lead once. If you are comparing two versions of a page, a single rate is not enough — run the numbers through the A/B test significance calculator before declaring a winner.

Revenue per visitor is the figure to compare against acquisition costs: if a visitor is worth $1.52 and paid clicks cost $2.00, the channel loses money on first purchases unless repeat orders make up the gap, which is where customer lifetime value comes in.

This is the standard definition used by web analytics tools. Some teams divide by sessions, others by users; sessions give a lower rate because one person can visit several times before buying. The target calculation assumes traffic and order value stay the same, which is rarely exactly true when you change a page. A landing page conversion rate uses the same formula with only that page's visitors and its form submissions or clicks to checkout.

The same month of data can give quite different rates depending on what you divide by:

• Sessions: the most common choice in analytics tools. Gives the lowest rate because returning visitors are counted each time.
• Users: one person counted once. Gives a higher rate and better reflects "what share of people bought".
• Clicks: used for ad campaigns. Ad platforms count conversions against clicks, so their rate is usually higher than your site-wide figure.
• Landing page visitors: only the people who saw that page. Use this for a landing page conversion rate, and count only conversions that started on that page.

Pick one and keep it. A rate that jumps after a tracking change is often a denominator change, not a real improvement.

Small samples give noisy rates. For the landing page above, 186 conversions from 2,400 visitors gives 7.75%, but the 95% confidence interval runs from roughly 6.7% to 8.8% — a week-to-week swing inside that band means nothing. As a rule of thumb, wait for at least a few hundred conversions before reading much into a change, and use the confidence interval calculator for the exact range.

When you report a change, say whether you mean percentage points or percent: moving from 2.0% to 2.5% is a 0.5-point rise but a 25% relative increase. The percentage change calculator does that conversion.

The biggest influences are usually outside the page itself:

• Traffic source: email and returning visitors typically convert far better than cold social or display traffic. A falling site-wide rate often just means a cheaper, colder traffic mix.
• Price and product type: expensive or considered purchases convert at lower rates than impulse buys.
• Device: mobile sessions usually convert below desktop sessions on the same site.
• Friction: surprise shipping costs, forced account creation and long forms are the most commonly reported reasons for abandoned checkouts.

Because these vary so much, compare your rate with your own history by channel rather than with a single industry average.