Conversion Rate Calculator

Conversion rate is the share of visitors who do the thing — buy, sign up, book. Compute yours, and see what lifting it by one point would be worth, which is the business case for every optimization project.

Result

How to use this calculator

  1. Enter conversions and visitors over the same period.
  2. Optionally add value per conversion to price the improvement scenarios.
  3. Use one consistent denominator (sessions or users) whenever you compare periods.

Formula used

Conversion rate = Conversions ÷ Visitors × 100

Define both sides consistently: sessions vs unique users as denominator, and which action counts as conversion. Revenue per visitor (CR × value per conversion) often beats CR alone as a north-star, since it catches CR gains bought by discounting.

Example calculation

Worked example

320 conversions from 14,500 visitors: CR = 2.21%.

Each percentage point equals 145 conversions — at 1,500 each, a lift from 2.21% to 3.21% is worth 217,500 in revenue. That's the budget-justification number for optimization work.

The leverage metric

Conversion rate is the multiplier on everything upstream: doubling CR halves your acquisition cost across every channel simultaneously, which no single ad optimization can do. That's why mature teams invest in landing pages, checkout friction and offer clarity — the gains compound with all traffic, paid and organic.

Averages deceive, though. Sitewide CR blends wildly different intents (blog readers vs pricing-page visitors), so segment before diagnosing — and remember that changes in traffic mix move sitewide CR with zero change in page performance.

Why use this calculator?

Frequently asked questions

What is a good conversion rate?

E-commerce commonly runs 1.5–3%, lead-gen landing pages 5–15%, SaaS trial signups vary hugely by traffic source. Intent dominates: comparison-shopping visitors convert at multiples of cold social traffic. Benchmark against your own segments.

Should I use sessions or users as the denominator?

Either works if you're consistent. Sessions suit transactional funnels (each visit is a chance); users suit considered purchases with multi-visit journeys. Just never compare a sessions-based CR to a users-based one.

How do I know a CR change is real and not noise?

Small samples swing hard — 3 extra conversions on 200 visitors moves CR 1.5 points by luck alone. Use our A/B test significance calculator to check whether an observed difference clears statistical noise.

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