Conversion rate calculator

What is a conversion rate?

A conversion rate is the percentage of visitors who do the thing a page exists for: start a trial, buy, book a demo, subscribe to a newsletter. It’s the most direct measure of how well traffic turns into results, which is why it sits next to visitors on almost every analytics dashboard.

A “conversion” is whatever you define it to be — that’s both the strength and the trap of the metric. A SaaS company usually means a signup or a paid subscription; a store means an order; a B2B site means a demo request. The calculator works the same for any of them, as long as each converting visitor is counted once.

How to calculate conversion rate: the formula

Which denominator: visitors, sessions or clicks?

The formula only stays meaningful if the bottom of the fraction matches the question you’re asking. These are the three common choices:

Worked example

A SaaS product had 12,400 unique visitors last month and 310 of them created an account. 310 ÷ 12,400 = 0.025, so the visitor-to-signup conversion rate is 2.5% — about 1 in every 40 visitors.

The team wants 3.5%. With the same 12,400 visitors that means 12,400 × 0.035 = 434 signups, or 124 more than today. Getting those 124 extra signups from traffic alone at 2.5% would take 434 ÷ 0.025 = 17,360 visitors — 40% more traffic. That’s the usual argument for working on conversion before buying more visitors.

What is a good conversion rate? Benchmarks

There’s no universal “good” number — it depends on the page, the offer, the price and where the traffic comes from. The published figures worth knowing are below; treat them as context, and your own trend line as the real benchmark.

Common conversion rate mistakes

• Mixing tools. Visitors from one analytics tool and conversions from your database or ad platform are counted differently — the rate drifts for reasons that have nothing to do with your page.
• Counting bots as visitors. Crawlers, uptime monitors and scrapers inflate the denominator and push the rate down. Filter them out first (see how VisitTrack separates humans from bots).
• Counting one person several times. A visitor who signs up, logs out and signs up again is one conversion. If conversions can exceed visitors, your definition is off.
• Reading changes on tiny samples. 3 conversions out of 100 visitors vs 5 out of 100 is not a 67% improvement you can trust — check it with the A/B test significance calculator.
• Losing visitors to a consent banner. If your analytics only counts people who accept cookies, you’re measuring a self-selected subset; cookieless tracking counts everyone.
• Averaging rates across pages. Average 10% on a page with 50 visitors and 1% on one with 5,000 and you get 5.5%; the real combined rate is (5 + 50) ÷ 5,050 ≈ 1.1%. Always divide totals.

How to track conversion rate automatically with VisitTrack

You shouldn’t need a spreadsheet for this number. In VisitTrack a conversion rate is a goal: pick the page or event that means “converted”, and the dashboard shows hits and the percentage of visitors who reached it — humans only, because bots are filtered when data comes in.

1. Install the script — one tag, about 5 KB, no cookie banner needed in cookieless mode.
2. Record the conversion where your code knows it happened: window.visitrack("signup") after the signup succeeds, or data-vt-goal="signup" on a button (custom events guide).
3. Add a goal for that event (or for a thank-you page) under Goals. The Goals tab shows the count and the share of visitors who converted.
4. Build a funnel (landing page → pricing → signup) to see which step loses the most people — the Funnels tab shows each step’s conversion rate and the biggest drop-off.
5. Connect Stripe, Paddle, Polar, Lemon Squeezy or Razorpay to see revenue next to conversions (revenue attribution), broken down by referrer and campaign.