Key Takeaways
- 4.9 billion people actively used mobile phones in 2024 (62.5% mobile penetration).
- Bing accounted for 2.6% of global search engine traffic in 2024.
- In 2024, 94% of app developers said they use some form of web analytics to measure performance.
- Google PageSpeed Insights assigns scores from 0 to 100 for both mobile and desktop experiences.
- HTTP Archive’s 2024 median number of requests is 71 for sampled pages.
- Core Web Vitals targets define 'Good' CLS as ≤0.1 (75th percentile).
- Google’s Chrome User Experience Report (CrUX) reports real-user data availability for tracking Core Web Vitals at scale.
- In 2024, 51% of digital experience decision-makers planned to increase investment in CX analytics.
- In 2024, 70% of organizations reported that they are adopting AI for marketing use cases (Gartner).
- In 2024, 60% of marketers reported using generative AI for content creation.
- 1.2% of global website traffic is served via bots in 2024 (identified bots, all websites), quantifying the portion of traffic that is not human user activity
- In 2023, 33% of malware targeted web browsers (2023 Verizon DBIR, web-based threats share), quantifying malicious traffic risk to URLs
- 40% of consumers abandon a site that doesn’t load within 3 seconds (Google’s research summary on speed impact, published 2017 and widely cited), quantifying the bounce risk tied to latency
- 53% of mobile site visits are abandoned if pages take longer than 3 seconds to load (2016–2017 measurement cited by Google), tying performance to lost sessions
- 72% of consumers who had a poor mobile experience say they’re less likely to purchase from that site again (Google/industry survey referenced in Think with Google, published 2018), quantifying repeat-purchase impact
With mobile and speed driving nearly all traffic, analytics and Core Web Vitals help teams reduce bot, latency, and cyber risks.
Related reading
01 · Category
Internet Scale1 stats
Internet Scale Interpretation
03 · Category
Measurement & Analytics2 stats
Measurement & Analytics Interpretation
04 · Category
Performance Benchmarks3 stats
Performance Benchmarks Interpretation
05 · Category
Industry Trends5 stats
Industry Trends Interpretation
More related reading
06 · Category
Traffic Quality2 stats
Traffic Quality Interpretation
07 · Category
Performance Impact4 stats
Performance Impact Interpretation
08 · Category
User Adoption6 stats
User Adoption Interpretation
09 · Category
Performance Metrics5 stats
Performance Metrics Interpretation
10 · Category
Traffic Composition1 stats
Traffic Composition Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Elena Vasquez. (2026, February 13). URL Traffic Statistics. Gitnux. https://gitnux.org/url-traffic-statistics
Elena Vasquez. "URL Traffic Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/url-traffic-statistics.
Elena Vasquez. 2026. "URL Traffic Statistics." Gitnux. https://gitnux.org/url-traffic-statistics.
Sources & references
30 datasets cited across this report · attribution is report-level
+11 additional datasets cited (not shown individually)

