Use this free online conversion rate calculator to calculate conversion percentage, analyze website performance, and measure marketing or sales success using visitors and conversions data.
This Conversion Rate Calculator helps marketers, e-commerce sellers, and growth teams measure campaign and website performance. Enter your total visitors, conversions, ad spend, and average order value to see your conversion rate, non-conversions, success ratio, cost per conversion, total revenue, and revenue per visitor — everything you need to evaluate whether a campaign or landing page is performing efficiently.
This free conversion rate calculator tool works for websites, ecommerce stores, marketing campaigns, and sales funnels.
Driving traffic to a website, a landing page, or a product listing is only half the job. The other half is converting that traffic into customers, subscribers, or leads. A high visitor count with a low conversion rate is an expensive way to run a business — you are paying to bring people in and then losing most of them before they take the action that matters. This calculator gives you the complete picture: not just your conversion rate, but the cost of each conversion, the revenue your traffic generates, and how much each visitor is actually worth to your business.
A conversion rate captures how many of the people who showed up actually did something — clicked buy, filled the form, booked the call, or took whatever action the page was built around. What counts as a conversion depends on the goal: a purchase on an e-commerce site, a form submission on a lead generation page, a sign-up on a SaaS landing page, a download on a content marketing page, or a booking on a service website.
The formula is always the same — conversions divided by total visitors, multiplied by 100. A 5% conversion rate means that 5 out of every 100 visitors take the desired action. The other 95 leave without converting. Understanding this ratio — and what it costs to acquire each conversion — is the foundation of any serious analysis of marketing efficiency.
The standard formula used in every conversion rate calculator is:
:contentReference[oaicite:0]0This formula works for website traffic, marketing campaigns, sales funnels, and lead generation. Simply divide total conversions by total visitors and multiply by 100 to get the percentage.
The headline metric — the percentage of visitors who converted. Most e-commerce stores fall somewhere in the 1 to 4% range, with the majority clustering closer to 2% — meaning roughly 98 out of every 100 visitors leave without purchasing.
The raw count of visitors who did not convert. This number is often more motivating than the rate alone. If 950 out of 1,000 visitors leave without buying, that is 950 people who saw your offer and said no — each representing a potential opportunity for optimisation.
The relationship between non-converters and converters. A ratio of 1:20 means one conversion for every twenty visitors — a framing that makes the scale of the opportunity visible in a different way than a percentage does.
Divide what you spent by how many people converted and you have the real price of each customer — on a $500 campaign that produced 25 buyers, that works out to $20 a head. Whether that is acceptable depends entirely on the value of each conversion.
Conversions multiplied by average order value — the gross revenue generated by the traffic from this campaign or period. Comparing total revenue to total spend gives you your return on ad spend (ROAS), the fundamental measure of paid campaign efficiency.
Spread your total revenue across every visitor who came through the door — converters and non-converters alike — and the result tells you the average yield of a single click to your page. If each visitor is worth $0.80, traffic costing $0.50 per visitor is profitable. Traffic costing $1.20 is not.
Measure how many visitors convert into customers on your website or landing page.
Track how many leads turn into paying customers in your sales funnel.
Understand how effectively your campaigns convert leads into actions.
Analyze product page performance and checkout success rates.
Evaluate campaigns from Google Ads, Facebook Ads, and other platforms.
The honest answer is that it depends entirely on the context — the industry, the traffic source, the type of conversion, and the price point of what is being sold. A rate that would be excellent for a high-ticket product might indicate poor performance for a low-friction lead generation form.
E-commerce (physical products)
Typically 1 to 4%. Stores selling products above $200 often see lower rates because purchase decisions take longer. Flash sale pages and heavily discounted offers can spike to 8 to 15% because urgency and price sensitivity work together.
B2B SaaS (free trial or demo request)
Typically 1 to 5%, with significant variation based on how much information is required and how qualified the traffic is. Highly targeted paid traffic converts at the upper end; broad awareness campaigns at the lower end.
Email marketing campaigns
Sent to engaged subscriber lists, often produce conversion rates of 2 to 5% on a specific offer — significantly higher than cold traffic from ads because the relationship and trust are already established.
Lead generation pages
B2B lead generation pages typically see 1 to 3%. The more information required in the form, the lower the rate. Pages requesting only a name and email outperform pages with five or more fields by a significant margin.
The more useful question is not "is my conversion rate good?" but "is my revenue per visitor growing?" A higher conversion rate on a lower order value can produce lower revenue per visitor than a lower conversion rate on a higher order value. Revenue per visitor accounts for both dimensions simultaneously.
Evaluating a paid campaign
Enter total clicks or sessions as visitors, purchases or leads as conversions, total ad spend, and average order value. The outputs tell you your conversion rate, cost per conversion, and whether the revenue generated justifies the spend.
Comparing landing pages
Run the calculator for each page variant. A page with a 3% rate driving $1.20 revenue per visitor outperforms a page with 4% driving $0.90 — because the first page's visitors convert to higher-value purchases.
Setting traffic targets
If you know your revenue per visitor and monthly revenue target, work backward to the traffic volume you need. A revenue per visitor of $0.80 and a $40,000 monthly target requires 50,000 visitors per month.
Modelling conversion rate improvements
Increasing conversion rate from 2% to 3% on 10,000 monthly visitors means 100 additional conversions. At an average order value of $75, that is $7,500 in additional monthly revenue — from the same traffic.
Align the landing page with the traffic source
Visitors who click an ad for a specific product and land on a generic homepage experience a disconnect that kills conversions. Every traffic source should land on a page that directly continues the promise made in the ad, email, or link.
Reduce friction at the conversion point
Every unnecessary field in a form, every extra step in a checkout, and every piece of information a visitor has to hunt for reduces conversions. Streamlining the path from arrival to conversion is consistently one of the highest-return optimisation moves.
Test one variable at a time
Headline, hero image, call-to-action text, button colour, form length, social proof placement — all of these affect conversion rate. Testing multiple changes simultaneously makes it impossible to know which change drove the improvement.
Measure revenue per visitor, not just conversion rate
Conversion rate alone does not tell the full story. A change that increases conversion rate but reduces average order value may actually hurt the business. Revenue per visitor accounts for both dimensions and gives a cleaner signal.
A conversion rate calculator is an online tool that helps you calculate the percentage of visitors who complete a desired action, such as making a purchase, signing up, or filling out a form.
Conversion rate is calculated by dividing total conversions by total visitors and multiplying by 100. The formula is: Conversion Rate = (Conversions / Visitors) × 100.
The standard conversion rate formula is: Conversion Rate = (Number of Conversions ÷ Total Visitors) × 100.
A good website conversion rate typically ranges between 1% and 4%, depending on the industry, traffic quality, and type of offer.
A marketing conversion rate calculator helps measure how effectively your campaigns convert traffic into leads or customers using metrics like clicks, impressions, and conversions.
Sales conversion rate is calculated by dividing the number of sales by the total number of leads or prospects, then multiplying by 100.
A lead conversion rate calculator measures how many leads turn into customers, helping businesses evaluate the effectiveness of their sales funnel.
Ecommerce conversion rate is the percentage of website visitors who complete a purchase on an online store.
To calculate conversion rate with visitors and conversions, divide the number of conversions by the number of visitors and multiply by 100.
A free online conversion rate calculator is a web-based tool that allows users to quickly calculate conversion percentages without any cost or software installation.
Google Ads conversion rate is calculated by dividing total conversions by total ad clicks and multiplying by 100.
Conversion rate in digital marketing measures the percentage of users who take a desired action after interacting with a campaign, such as clicking an ad or visiting a landing page.
Conversion rate from impressions is calculated by dividing conversions by total impressions and multiplying by 100, though click-based conversion rate is more commonly used.
A good ecommerce conversion rate typically falls between 1% and 3%, though high-performing stores may achieve higher rates.
Conversion rate is important because it shows how effectively your website or campaign turns visitors into customers, helping improve ROI and marketing performance.
* This calculator is for general marketing analysis and estimation. Actual conversion rates vary significantly by industry, traffic source, and offer type. Always use your own data as the primary benchmark.