Core Web Vitals Calculator
Check your Core Web Vitals scores against Google thresholds. Evaluate LCP, FID/INP, and CLS values for good, needs improvement, or poor.
Page Speed Impact Calculator
Calculate the traffic and revenue impact of page load time. Enter current traffic, load time, and bounce rate increase per second to estimate losses.
sec
%
sec
%
$
Monthly Revenue Loss⧉
$45,000.00
30,000 visitors lost
Additional Bounce Rate⧉
30.00%
From 4s load time
Monthly Recovery⧉
$30,000.00
If improved to 2s
Annual Recovery⧉
$360,000.00
Potential yearly savings
Planning notes, formulas, and examples
About the Page Speed Impact Calculator
Page speed directly impacts user experience, bounce rates, and search rankings. Google has confirmed that page speed is a ranking factor, and research consistently shows that each additional second of load time increases bounce rates by 8–12% and reduces conversions proportionally.
This calculator estimates the traffic and revenue loss caused by slow page load times. Enter your current monthly traffic, average load time, and revenue per visit to see the financial impact of every extra second your pages take to load.
The results make a compelling business case for investing in page speed optimization. Even modest improvements from 4 seconds to 2 seconds can recover thousands in lost revenue and reduce bounce rates significantly.
Understanding this metric in precise terms allows marketing professionals to set realistic goals, track progress effectively, and refine their approach based on real performance data. Tracking this metric consistently enables marketing teams to identify campaign performance trends and reallocate budgets to the highest-performing channels before opportunities are lost.
When This Page Helps
Page speed optimization often requires engineering resources and budget approval. This calculator translates load time into dollars lost, making it easy to justify the investment. Show stakeholders exactly how much revenue slow pages are costing.
How to Use the Inputs
- Enter your current monthly organic traffic.
- Enter your average page load time in seconds.
- Enter the bounce rate increase per additional second of load time.
- Enter your current conversion rate and revenue per conversion.
- View estimated traffic loss, revenue impact, and potential recovery.
- Model the impact of reducing load time to your target speed.
Formula used
Additional Bounce Rate = (Load Time − Baseline) × Bounce Increase per Second
Traffic Loss = Current Traffic × Additional Bounce Rate / 100
Revenue Loss = Traffic Loss × Conversion Rate × Revenue per Conversion
Recovery = Revenue Loss at Current Speed − Revenue Loss at Target SpeedExample Calculation
Result: Revenue Loss: $3,000/mo at 4s | Recovery: $1,500/mo at 2s target
Baseline load time: 1 second. At 4 seconds, additional bounce: (4 − 1) × 10% = 30%. Traffic lost: 100,000 × 0.03 = 3,000 visitors. Revenue lost: 3,000 × 0.03 × $50 = $4,500. At 2-second target: additional bounce: (2 − 1) × 10% = 10%. Traffic lost: 1,000. Revenue lost: 1,000 × 0.03 × $50 = $1,500. Recovery: $4,500 − $1,500 = $3,000/month.
Tips & Best Practices
- Aim for a load time under 2 seconds for optimal user experience and SEO.
- Use Google PageSpeed Insights for real-world performance data.
- The biggest speed gains come from image optimization, code minification, and caching.
- Every 100ms improvement in LCP can improve conversion rates by up to 0.5%.
- Mobile load times are typically 2–3x slower than desktop — optimize for mobile first.
- Consider implementing lazy loading for images and below-the-fold content.
- A CDN can reduce load time by 50–70% for geographically distributed audiences.
The Business Case for Speed Optimization
Amazon found that every 100ms of latency cost them 1% in sales. Google discovered that an extra 500ms in search load time dropped traffic by 20%. Walmart saw a 2% increase in conversions for every 1 second of improvement. The data is unambiguous: speed directly impacts revenue.
Compounding Impact of Load Time
The relationship between load time and bounce rate is not linear — it accelerates. Going from 1 to 3 seconds increases the probability of bounce by 32%. Going from 1 to 5 seconds increases it by 90%. Going from 1 to 10 seconds increases it by 123%. Fixing the slowest pages yields disproportionate returns.
Page Speed and Crawl Budget
Faster pages also benefit from better crawl efficiency. Google can crawl more pages per visit when each page responds quickly. This means faster indexing of new content and more frequent re-crawling of existing pages, compounding the SEO benefits of speed optimization.
Sources & Methodology
Last updated:
Frequently Asked Questions
Google uses page speed as a ranking factor, particularly through Core Web Vitals (LCP, INP, CLS). Faster pages rank higher, get crawled more efficiently, and provide better user experiences that reduce bounce rates. Since 2021, page experience signals have played an increasing role in rankings.
Under 2 seconds is considered good for most websites. Under 1 second is excellent. Google recommends an LCP (Largest Contentful Paint) under 2.5 seconds. Anything over 4 seconds results in significantly elevated bounce rates and lost revenue.
Research from Google and Amazon shows that every additional second of load time increases bounce rates by 8–12%, reduces conversions by 7%, and can cost 11% in page views. For a site earning $100K/month, even a 1-second improvement could recover $7,000–12,000.
Yes. Google uses mobile-first indexing, meaning crawling and ranking are based on the mobile version of your site. Mobile page speed is critical because mobile connections are often slower. Pages that are fast on desktop but slow on mobile will lose rankings.
Compress and resize images (often saves 30–70% of page weight). Enable browser caching. Minify CSS and JavaScript. Use a CDN. Implement lazy loading for below-the-fold content. Reduce server response time with better hosting. These changes often take days, not months.
Use Google PageSpeed Insights for lab and field data. Chrome DevTools Network tab shows waterfall loading. Google Search Console Core Web Vitals report provides real-user data. WebPageTest.org gives detailed filmstrip views showing what users see at each loading stage.
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