Conversion Rate
Calculator

Conversion rate in plain English

Your conversion rate is the share of visitors who take the action you want: request a quote, call, buy, sign up. It is always calculated the same way: conversion rate = conversions ÷ visitors × 100. 72 quote requests from 2,400 visits is 3%: 3 visitors out of 100 take action, or about one in 33.

The denominator depends on the tool. Google Ads divides conversions by ad interactions, which are clicks for a Search ad: 50 conversions from 1,000 interactions is 5%. An analytics tool divides by sessions or users instead. Neither is wrong, but only compare rates calculated on the same base.

The formulas behind the calculator

• Conversion rate = conversions ÷ visitors × 100
• Visitors needed = target conversions ÷ (rate ÷ 100), rounded up
• Expected conversions = visitors × rate ÷ 100
• Difference in points = rate B − rate A
• Relative uplift = (rate B − rate A) ÷ rate A × 100
• Reliability of the gap: two-proportion z-test, z = (pB − pA) ÷ √(p × (1 − p) × (1 ÷ nA + 1 ÷ nB)), where p is the pooled rate of both samples. Beyond 1.96 in absolute value, the gap is significant at the 95% level.

How to use the conversion rate calculator

1. Pick the tab that matches your question: current rate, traffic needed, expected conversions or comparison.
2. Pull visitors (or sessions, or clicks) and conversions for the same period, from the same tool.
3. Enter the numbers: results and the step-by-step math update as you type, in US number format (1,234.5).
4. For a comparison, choose whether you are looking at two variants tested at the same time (A/B) or two periods.
5. Read the verdict: difference in points, relative uplift, then statistical confidence before you decide.

Worked examples

A contractor website. 2,400 visits and 72 quote requests in a month: 72 ÷ 2,400 × 100 = 3%, so one request every 33.3 visits.

A lead goal. To get 30 requests a month at 3%, you need 30 ÷ 0.03 = 1,000 visitors, or 34 a day over 30 days. If the rate climbs to 4%, 750 visitors are enough: a better page means less traffic to buy.

Expected conversions. 5,000 clicks at 2.5% bring in 5,000 × 0.025 = 125 conversions.

An A/B test. Variant A (long form) gets 3,200 visitors and 96 requests, or 3%. Variant B (short form) gets 3,150 visitors and 126 requests, or 4%. The gap is 1 point, and the relative uplift is (4 − 3) ÷ 3 × 100 = 33.3%. The z-test gives z ≈ 2.17 and a p-value of about 0.03: the gap is significant at the 95% level. These are the calculator’s default values.

What is a good conversion rate?

It depends on your industry, your traffic source and what you count as a conversion. Two US studies give useful orders of magnitude:

The Unbounce report draws on more than 41,000 landing pages, 464 million visitors and 57 million conversions. It also found that 83% of the visits analyzed happened on mobile, and that pages written at a 5th to 7th grade reading level convert at 11.1%, against 5.3% for professional-level writing. The LocaliQ figures measure something else: the share of ad clicks that turn into conversions. A median and an average do not compare directly, so your own history, month after month, remains the best benchmark.

Comparing two periods or two variants

A gap can be read two ways. Going from 3% to 4% is 1 point more, but a 33% relative increase. Both numbers are right; only the first tells you how many more conversions you get per 100 visitors.

Then comes the question of whether the gap is real. With 30 visitors on each side, a single extra conversion is enough to show a misleading +50%. The calculator runs a two-tailed z-test: above 95% confidence, the gap is unlikely to be random. With fewer than 10 conversions on either side, it flags the sample as too thin. Between two periods, seasonality, promotions and campaign changes also play a part: the test tells you whether the gap beats chance, not why it exists.

Best practices to raise your conversion rate

• One page, one goal: a single main call to action, repeated down the page.
• The ad’s message echoed in the page headline, so visitors know they are in the right place.
• A short form: name, phone, need. Every extra field has to earn its place.
• Visible proof: reviews, project photos, response times, starting prices.
• A fast, readable mobile page, where most visits came from in the Unbounce study.
• Short, simple sentences that visitors understand without effort.

Common mistakes

• Comparing a Google Ads rate, calculated per click, with an analytics rate, calculated per session.
• Counting several conversions per visitor without realizing it, to the point of passing 100%.
• Calling an A/B test after a few days or a handful of conversions.
• Writing "+1%" in a report without saying whether it is a point or a relative change.
• Counting spam, duplicates or phone-number taps that never became calls as conversions.
• Judging the rate without the volume: 10% of 50 visits matters less than 3% of 5,000.

To turn a lead goal into a budget, use the Google Ads budget calculator, then check profitability with the ROAS calculator. On the page side, our guide what is a landing page covers the levers; on the ad side, the Google Ads preview tool and the SERP preview tool sharpen what earns the click. For the cost side, read how much Google Ads costs a small business. And for a site built to convert, see how we design websites and how we manage Google Ads.