How conversion rate is calculated

Conversion rate is conversions divided by total visitors, times 100. The reverse calculation — visitors needed — divides your target number of conversions by your expected conversion rate (as a decimal) to tell you how much traffic you need to hit your goal.

How to use this conversion rate calculator

1. Choose conversion rate, or visitors needed.
2. Enter your conversions and visitors (or target and expected rate).
3. Click Calculate.

What counts as a „conversion“ varies by business

A conversion isn’t always a sale — it can be a form submission, a newsletter signup, an app download, or any other action that matters to your goals. Defining your conversion clearly before measuring is important, since a landing page’s conversion rate for „email signups“ will look very different from its conversion rate for „completed purchases.“

Benchmarks and what affects conversion rate

• Traffic quality: Highly targeted traffic converts far better than broad, cold traffic.
• Page experience: Load speed, mobile usability, and clarity of the call-to-action all meaningfully affect conversion rate.
• Price point and industry: Lower-priced, lower-commitment actions naturally convert at higher rates than expensive purchases.

Tips for improving conversion rate

Use the „visitors needed“ mode when planning a campaign backward from a goal — it’s often more useful for budgeting traffic and ad spend than the conversion rate itself. Test one change at a time (headline, CTA button, page layout) so you can attribute any change to a specific cause, and consider our A/B test calculator to check whether an observed improvement is statistically real.

Expert insight: you’re optimizing growth, not a single number

Peep Laja, founder of CXL and Speero and widely regarded as one of the most influential voices in conversion rate optimization, argues that CRO isn’t really about chasing a higher percentage for its own sake — it’s about understanding what visitors actually need and removing friction between them and it. His broader point: there’s no universal „good“ conversion rate or one-size-fits-all fix, since what works depends entirely on the specific audience and offer, which is why testing (see our A/B test calculator) matters more than copying someone else’s benchmark.

Further reading: The Average E-Commerce Conversion Rate Just Ticked Up to 2.03% — Here’s How to Read That Number

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