Exit Rate Calculator
The Exit Rate Calculator determines the percentage of users who leave a website from a specific page, calculating exit rate and remaining pageviews. Considers number of views and exits to evaluate engagement and retention. Essential tool for digital marketing analysts, webmasters, SEO professionals and content managers who need to optimize user experience, reduce abandonment rates and improve conversions on web pages.
How the Exit Rate Calculator Works and Why It’s Useful
The Exit Rate Calculator determines the percentage of users who leave a website from a specific page. By comparing the number of exits to total pageviews for that page, the tool helps quantify how often a page is the last one viewed during sessions. This metric is essential for digital marketing analysts, webmasters, SEO professionals and content managers who want to improve engagement, reduce abandonment and increase conversions.
The calculator uses a simple formula to produce two key outputs: the exit rate and the remaining pageviews. Exit rate is expressed as a percentage and indicates how frequently a page causes visitors to leave the site. Remaining pageviews shows how many pageviews did not end in an exit, which helps assess retained engagement on that page.
Typical uses include evaluating landing pages, blog posts, product pages and checkout steps. A high exit rate may point to usability issues, irrelevant content or poor page experience. A low exit rate suggests the page is effectively keeping users on the site or guiding them to other content.
Formula Used
Exit Rate = (Number of Exits ÷ Number of Pageviews) × 100
The calculator also reports Remaining Pageviews, calculated as:
Remaining Pageviews = Number of Pageviews − Number of Exits
The exit rate represents the percentage of users who leave the website from the selected page. A low rate indicates good engagement, while a high rate may indicate problems to investigate.
How to Use the Exit Rate Calculator (Step by Step)
- Identify the page you want to analyze and collect the metrics. You need the total number of pageviews for that page and the number of exits from that page. These numbers can be obtained from your analytics platform.
- Enter the Number of Pageviews into the calculator input labeled Number of pageviews. Example placeholder value is 5.
- Enter the Number of Exits into the calculator input labeled Number of exits. Example placeholder value is 3.
- Click Calculate to run the computation. The tool will compute the exit rate and remaining pageviews using the formulas above.
- Review the Result: the exit rate percentage and the remaining pageviews count will be displayed. Use the exit rate level guidance to interpret the result.
- If needed, click Reset to clear inputs and analyze another page or time period.
Tips while using the calculator:
- Use consistent time ranges when comparing pages, for example the last 30 days for all pages.
- Only compare pages with a meaningful number of pageviews. Very low sample sizes can produce misleading rates.
- Consider filtering out internal traffic and bots to get a true picture of user behavior.
Practical Examples of Using the Exit Rate Calculator
Below are clear examples showing how to compute and interpret exit rate in common scenarios.
Example 1: Small sample check
Inputs: Number of pageviews = 5, Number of exits = 3
Calculation:
- Exit Rate = (3 ÷ 5) × 100 = 60%
- Remaining Pageviews = 5 − 3 = 2
Interpretation: A 60% exit rate is high for most content. With only five pageviews the sample is small, so treat this as a signal to gather more data. If the rate remains this high with larger samples, investigate content relevance, page load time, or CTAs.
Example 2: Product page analysis
Inputs: Number of pageviews = 10,000, Number of exits = 2,000
Calculation:
- Exit Rate = (2,000 ÷ 10,000) × 100 = 20%
- Remaining Pageviews = 10,000 − 2,000 = 8,000
Interpretation: A 20% exit rate is generally healthy for many product pages. Use exit rate level guidance to categorize performance and compare to similar product pages or past periods.
Example 3: Checkout step evaluation
Inputs: Number of pageviews = 5,000, Number of exits = 1,750
Calculation:
- Exit Rate = (1,750 ÷ 5,000) × 100 = 35%
- Remaining Pageviews = 5,000 − 1,750 = 3,250
Interpretation: A 35% exit rate on a checkout step suggests a potential friction point. Investigate form errors, payment options, unexpected costs or slow load times. Reducing friction at this stage often yields direct conversion gains.
Exit Rate Levels and What They Mean
- Excellent: typically under 10% for content that naturally retains visitors
- Good: around 10% to 20%, reasonable retention for many pages
- Average: 20% to 35%, acceptable but worth monitoring
- Poor: 35% to 50%, indicates a need for optimization
- Very Poor: above 50%, likely points to significant issues
Use these ranges as general guidance. Benchmarks vary by industry, page type and traffic source. Always compare pages within the same category and time range.
Important Note
Exit rate differs from bounce rate. Exit rate considers all pageviews of a page and measures how often that page was the last in the session. Bounce rate considers only sessions with a single pageview, measuring the percentage of visits where the user left without interacting with other pages. Both metrics are useful but answer different questions about user behavior.
Conclusion: Benefits of Using the Exit Rate Calculator
The Exit Rate Calculator provides fast, reliable insights into where users leave your site and how effectively pages retain visitors. Benefits include:
- Quick identification of pages that may need UX, content or technical improvements
- Simple numeric outputs for tracking changes over time or measuring A/B tests
- Actionable guidance for prioritizing optimization efforts on high-exit pages
- Complementary insight to bounce rate and other engagement metrics for a fuller view of user journeys
Regularly using the Exit Rate Calculator helps site owners and marketers reduce abandonment, improve user experience and ultimately increase conversions. Combine the results with qualitative research, session recordings and technical audits to find and fix the root causes behind high exit rates.