Chapter 3 of 6
How to Calculate Conversion Rate: Formulas and Examples
Simple formulas and worked examples for measuring conversion rate across channels and campaigns.
The Basic Conversion Rate Formula
Conversion rate equals the number of conversions divided by the total number of visitors, multiplied by 100 to express it as a percentage. If 50 out of 1,000 visitors complete your form, your conversion rate is (50 / 1,000) x 100 = 5%. This formula applies to any page, campaign, or channel where you can define a conversion event and count visitors.
Use unique visitors, not total pageviews, as your denominator. A single person who loads your page three times while deciding whether to convert should count as one visitor. Using pageviews inflates your denominator and artificially lowers your conversion rate, making your page appear to perform worse than it actually does.
Define your conversion event precisely before calculating. On a lead generation page, a conversion is a completed form submission. On an ecommerce page, it might be an add-to-cart action or a completed purchase. On a SaaS signup page, it could be a trial start or a first login. Inconsistent definitions make comparison meaningless.
Calculating Funnel Conversion Rates
Multi-step funnels have a conversion rate at each step and an overall conversion rate from first touch to final action. If your funnel is: landing page (1,000 visitors) to form submission (100 leads) to sales call (20 calls) to purchase (5 customers), your overall funnel conversion rate is 0.5% (5 / 1,000). But each step tells a different story.
Your landing page converts at 10% (100/1,000), your lead-to-call rate is 20% (20/100), and your call-to-close rate is 25% (5/20). This breakdown reveals where the biggest opportunity lies. Improving the landing page from 10% to 12% adds 20 leads. Improving the call-to-close rate from 25% to 35% adds 2 customers from the same 20 calls - and those customers are worth more.
Calculate each step individually and then multiply them together to verify your overall rate: 10% x 20% x 25% = 0.5%. This multiplicative relationship is why improving any single step has a compounding effect on the entire funnel. A 20% improvement at three steps yields a 73% improvement overall.
Revenue-Based Conversion Metrics
Revenue per visitor (RPV) combines conversion rate and average order value into a single metric. If your page converts at 4% and your average order is $50, your RPV is $2.00 (0.04 x $50). This metric is more useful than conversion rate alone because it accounts for the economic value of each conversion.
Cost per acquisition (CPA) measures how much you spend to generate each conversion. If you spend $500 on ads that drive 1,000 visitors and 40 convert, your CPA is $12.50 ($500 / 40). Compare your CPA to your customer lifetime value (LTV) to determine whether your acquisition is profitable. A $12.50 CPA with a $200 LTV is excellent. The same CPA with a $15 LTV is unsustainable.
Return on ad spend (ROAS) tells you how much revenue you earn for every dollar spent on advertising. If your $500 ad campaign generates $2,000 in sales, your ROAS is 4x. Landing page optimization directly improves ROAS by increasing the percentage of paid visitors who convert - you earn more revenue from the same ad investment.
Tools for Tracking Conversion Rates
Google Analytics is the standard tool for measuring website and landing page conversion rates. Set up Goals (in Universal Analytics) or Key Events (in GA4) to track form submissions, purchases, and other conversion actions. GA provides conversion rate breakdowns by traffic source, device, geography, and dozens of other dimensions.
Your landing page builder should provide built-in conversion tracking. Leadpages displays real-time conversion rates for every page and A/B test, showing you exactly how each variation performs without requiring a separate analytics setup. This built-in tracking eliminates the gap between building pages and measuring results.
For paid advertising, your ad platform's conversion tracking is essential. Install the Facebook Pixel, Google Ads conversion tag, and any other relevant tracking codes on your landing pages and thank-you pages. This data feeds back to the ad algorithm, helping it find more people who are likely to convert - creating a virtuous cycle of improving performance.