Marketing & Growth

Conversion Rate Calculator

Calculate your website or campaign conversion rate and the revenue impact of improving it. Small conversion rate improvements compound into major revenue gains.

Traffic, orders, and what an order is worth

What arrived and what converted

Unique visitors or sessions per month.

Number of desired actions (purchases, signups, leads) per month.

Value of a conversion

$

Revenue per conversion (leave at 0 to skip revenue calculation).

Conversion Rate

2.00%

Conversions ÷ Visitors × 100.

Formula verified 12 September 2026

Monthly Revenue

$20,000

Current monthly revenue at this conversion rate.

Revenue Gain at +10% CVR

$2,000

Additional monthly revenue if conversion rate improves 10%.

Revenue Gain at +25% CVR

$5,000

Additional monthly revenue if conversion rate improves 25%.

Revenue at a 10% Better Rate

$22,000

Total monthly revenue at the improved rate, not just the gain.

Revenue at a 25% Better Rate

$25,000

Total monthly revenue at the improved rate, not just the gain.

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Estimate only — benchmarks vary by industry and overhead. Read the full disclaimer ↓

Monthly Revenue by Conversion Rate

Add your numbers to see the visual breakdown.

Revenue at Higher Conversion Rates

Monthly conversions, conversion rate, and revenue if your current rate improves by each amount, using the visitors and order value you entered.

ImprovementConversionsConversion rateMonthly revenue
Current2002.00%$20,000
+10%2202.20%$22,000
+25%2502.50%$25,000
+50%3003.00%$30,000
+100%4004.00%$40,000

Estimates only — not financial, tax, or professional advice.

100% private — every number you enter is calculated in your browser and never sent to our servers.

What it calculates: Conversion Rate, Monthly Revenue, Revenue Gain at +10% CVR, Revenue Gain at +25% CVR.

Updated 5 June 2026 · Transparent assumptions

Going from 2% to 2.5% adds $5,000 a month on the same traffic

10,000 visitors converting at 2% with a $100 order value produces $20,000 a month. A 25% relative improvement takes the rate to 2.5% and revenue to $25,000 — $5,000 more from traffic you already pay for. A 10% lift, to 2.2%, is worth $2,000.

That is the case for optimisation stated in money rather than percentages. The same $5,000 through acquisition would need 2,500 extra visitors a month, and every one of them costs something. Conversion work has no marginal media cost, which is why it usually has a better return than buying more traffic — up to the point where the easy gains are gone.

Sessions, users and qualified traffic give three different rates from the same orders

Conversion rate is orders divided by visitors, and the denominator is a choice. Counting sessions inflates the denominator because one person browsing three times counts three times, producing a lower rate. Counting unique users produces a higher one. Counting only qualified traffic — excluding bots, internal IPs and referral spam — higher still.

None is wrong, but comparing across definitions is. An industry benchmark computed on sessions is not comparable to your figure computed on users, and a rate that suddenly improves after an analytics change has usually not improved at all. Fix the definition, document it, and compare only against itself over time.

Mobile, desktop and channel rates usually differ by a factor of two

A single site-wide rate averages populations that behave very differently. Mobile typically converts at roughly half the desktop rate; returning visitors convert several times better than first-time ones; branded search converts far above display. The blended number moves whenever traffic mix moves, even with no change to the site at all.

That makes segmentation the first step in any real optimisation. A blended rate falling from 2.2% to 2.0% after a campaign may simply mean the campaign brought cheaper, colder traffic — the site did not get worse. Looking at each segment separately tells you whether to fix the page or fix the targeting.

Raising the $100 order value by 25% is worth exactly as much as raising the rate by 25%

Revenue is visitors times rate times order value, so a proportional improvement in any of the three is worth the same. Moving average order value from $100 to $125 produces the same $25,000 as moving the rate from 2% to 2.5%, and the two are often easier to achieve in combination than either alone.

They can also work against each other. Aggressive discounting lifts the conversion rate and lowers order value; raising prices does the reverse. Judging either change on conversion rate alone will mislead — revenue per visitor, which is simply rate multiplied by order value, is the measure that cannot be gamed by trading one against the other.

No cost, no margin, no returns, and no statistical significance

Revenue is not profit. A conversion improvement bought through free shipping or a discount may raise revenue and lower contribution, and this calculation sees neither cost of goods nor acquisition cost. For decisions about spend, work in contribution per visitor rather than revenue per visitor.

Returns and cancellations are outside it too, and they vary enormously by category. Finally, comparing two rates needs enough volume to be meaningful: at 200 conversions a month, a move from 2.0% to 2.2% is well within normal variation, and calling it an improvement without a significance test is how optimisation programmes end up chasing noise.

Sources & References

Figures on this page are checked against primary, authoritative sources. Links open in a new tab.

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Business disclaimer

Results are estimates for planning and analysis based on the figures you enter. They are not accounting, tax, or financial advice — verify with your own records and a qualified professional before making decisions.

How we calculate · Found an error? email us

Authorship & verification

Written and maintained by , a business operator who builds spreadsheet-based calculators.

What's changed (2 updates)

Published 12 September 2026

  1. Published the calculator with its formula, worked example, assumptions, limitations and a bespoke guide, and added an automated formula test suite covering it.
  2. Property-tested that the modelled 10% and 25% lifts scale revenue proportionally, so the uplift figures cannot drift from the base rate.

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