Updated: 27th September 2026

Website speed is no longer simply a technical optimisation issue. Performance can influence user experience, conversion behaviour, ecommerce journeys, mobile usability and the ability of websites to deliver content efficiently across increasingly complex digital environments.

The modern performance discussion also extends beyond a single page-load-time number. Core Web Vitals measure loading performance, responsiveness and visual stability, while real-world performance can vary according to device capability, network conditions, page weight, JavaScript execution, image delivery, server response and user interaction.

In 2025, HTTP Archive’s Web Almanac found that only 48% of mobile websites achieved a good overall Core Web Vitals experience, compared with 56% on desktop. The figures show significant improvement from earlier years, but they also demonstrate that a substantial proportion of the web continues to fall outside Google’s recommended experience thresholds.

At the same time, commercial research continues to associate faster digital experiences with stronger conversion and engagement outcomes. The relationship should not be interpreted as meaning that every speed improvement will generate an identical revenue increase, but the accumulated evidence demonstrates why performance remains an important business consideration.

This report brings together 50 website speed and web performance statistics covering user behaviour, conversion, mobile performance, Core Web Vitals, page weight, ecommerce, server response, responsiveness and modern web delivery.

The central finding is not that every website must achieve an arbitrary loading time. It is that performance affects real users differently according to device, network, page complexity and journey — and measurable improvements can translate into better engagement and commercial outcomes.

Executive Summary

Website performance has improved across several important metrics, but the web is simultaneously becoming more complex.

Images, JavaScript, advertising technology, analytics systems, consent platforms, personalisation, ecommerce functionality and third-party services can all increase the amount of work required before a page becomes visually complete and fully responsive.

The 2025 Web Almanac shows that mobile performance continues to lag behind desktop performance across several important measures. Mobile users are particularly exposed to slower processors, variable network conditions and heavier main-thread workloads.

This matters commercially because users do not experience a website through performance scores alone. They experience whether useful content appears quickly, whether buttons and menus respond immediately and whether the page remains visually stable while they interact with it.

The Website Performance Model

Fast Server Response
↓
Efficient Resource Delivery
↓
Fast Visual Rendering
↓
Responsive Interaction
↓
Stable Page Experience
↓
Better User Experience
↓
Greater Commercial Opportunity

What the 50 Statistics Examine

The research is organised into five evidence areas, with ten statistics in each section:

StatisticsResearch AreaWhat It Examines
1–10Website Speed & User BehaviourLoad time, abandonment, conversion behaviour and commercial performance.
11–20Core Web Vitals & Technical PerformanceLCP, INP, CLS, TTFB, FCP and real-world performance benchmarks.
21–30Mobile PerformanceMobile responsiveness, JavaScript, device differences, loading and interaction.
31–40Conversion, Ecommerce & Revenue ImpactConversion rates, ecommerce journeys, engagement and commercial outcomes.
41–50Page Weight, SEO & Modern Web DeliveryPage weight, images, JavaScript, technical SEO and future performance priorities.

Research Scope

The title of this report reflects its relevance to UK organisations rather than implying that every statistic originates from a UK-only sample.

Large-scale, representative UK datasets are not available for every area of website performance. The report therefore combines recent global web-performance data with established commercial studies where those studies remain relevant to understanding user and conversion behaviour.

Particular weight is given to large-scale real-user datasets such as the Chrome UX Report and HTTP Archive, together with research in which the underlying sample, methodology and measurement period are identifiable.

Research note: Historical studies are identified as such. They are included where they remain useful benchmarks, but they should not be represented as measurements of current UK consumer behaviour unless the original study specifically supports that interpretation.

Statistics 1–10 — Website Speed, User Behaviour & Commercial Performance

The first ten statistics examine the relationship between website speed, user behaviour and commercial outcomes.

Several of the most frequently quoted speed statistics originate from landmark research rather than studies conducted in 2026. They remain useful when correctly dated and contextualised, but they should not be presented as newly measured 2026 UK behaviour.


1. 53% of mobile visits were abandoned when pages took longer than three seconds to load

Google reported that 53% of mobile site visits were abandoned when a page took more than three seconds to load.

This remains one of the most widely cited website-speed benchmarks, but its date matters.

The underlying Google dataset came from aggregated and anonymised Google Analytics data from approximately 3,700 mobile websites in March 2016. It should therefore be treated as a historical behavioural benchmark rather than a current UK-wide statistic.

Its continued relevance lies in the underlying principle: mobile users can abandon slow experiences before the page has an opportunity to communicate its value.

Performance implication: Initial loading performance can influence whether the user reaches the content or commercial journey at all.

Source: Google mobile web performance research, 2016–2017.


2. A 1-second B2B page load was associated with 3× the conversion rate of a 5-second load

Portent found that B2B lead-generation pages loading in one second had approximately three times the conversion rate of pages loading in five seconds.

This does not mean that reducing every website from five seconds to one second will automatically triple conversions. Conversion performance is influenced by numerous factors including traffic quality, offer strength, page design and audience intent.

The study nevertheless demonstrates a strong relationship between loading performance and the completion of lead-generation actions within the sites analysed.

Commercial implication: Performance optimisation should be considered alongside conversion-rate optimisation rather than treated only as an engineering metric.

Source: Portent, Site Speed Is Still Impacting Your Conversion Rate.


3. A 1-second B2B load was associated with 5× the conversion rate of a 10-second load

Portent reported that a B2B website loading in one second converted at approximately five times the rate of a site taking ten seconds.

The difference becomes increasingly important at the slowest end of the performance spectrum.

Very slow experiences introduce friction before users can properly evaluate the product, service or information being offered.

That means technical performance can affect the effectiveness of investments already made in SEO, paid media, content and lead generation.

Marketing implication: Driving additional traffic to a severely underperforming website can amplify acquisition costs without addressing the experience users encounter after arrival.

Source: Portent, Site Speed Is Still Impacting Your Conversion Rate.


4. A 1-second ecommerce load was associated with 2.5× the conversion rate of a 5-second load

For B2C ecommerce websites, Portent found that pages loading in one second had an ecommerce conversion rate approximately 2.5 times higher than pages loading in five seconds.

Ecommerce journeys can be particularly sensitive to friction because users frequently move through several pages before completing a transaction.

Category pages, product pages, search results, baskets and checkout stages can all contribute to the perceived speed of the overall journey.

Ecommerce implication: Performance should be assessed across the customer journey rather than concentrating exclusively on the homepage.

Source: Portent, Site Speed Is Still Impacting Your Conversion Rate.


5. B2B conversion rates in Portent’s study fell from almost 40% at one second to 34% at two seconds and 29% at three seconds

Portent recorded average goal-conversion rates of almost 40% for one-second pages, approximately 34% at two seconds and around 29% at three seconds in its B2B dataset.

The pattern is more useful than any single percentage.

The strongest conversion rates in the analysed sample occurred among the fastest pages, with performance deteriorating as load time increased.

This highlights why website speed should be viewed as a continuum rather than simply categorising sites as either fast or slow.

Optimisation implication: Meaningful improvements can exist between different levels of acceptable performance; the objective is not merely to escape the very slowest category.

Source: Portent, Site Speed Is Still Impacting Your Conversion Rate.


6. A 0.1-second mobile speed improvement was associated with an 8.4% increase in retail conversions

Deloitte’s Milliseconds Make Millions research found that a 0.1-second improvement across measured mobile speed metrics was associated with an 8.4% increase in retail conversion rates.

The study analysed more than 30 million user sessions across 37 brands in Europe and the United States over a four-week period.

Importantly, the finding does not mean that changing one isolated speed score by 100 milliseconds guarantees an 8.4% conversion improvement.

The study examined improvements across several speed metrics throughout customer journeys and measured corresponding behavioural changes.

Commercial implication: Even relatively small performance improvements can become commercially significant when applied across high-volume digital journeys.

Source: Deloitte, Milliseconds Make Millions, research commissioned by Google.


7. The same retail study recorded a 9.2% increase in average order value

Deloitte reported that the measured 0.1-second mobile performance improvement was associated with a 9.2% increase in average order value for retail participants.

This is important because the commercial effect of performance may extend beyond whether a visitor converts.

A smoother customer experience can potentially affect how far users progress through a site and how they interact with products before completing a transaction.

Again, the result should be interpreted within the methodology and brands studied rather than applied universally to every ecommerce business.

Ecommerce implication: Performance analysis should consider order value and customer progression as well as headline conversion rate.

Source: Deloitte, Milliseconds Make Millions.


8. A 0.1-second improvement was associated with a 10.1% increase in travel conversions

Travel brands in Deloitte’s research recorded a 10.1% increase in conversion rates associated with the measured 0.1-second mobile performance improvement.

Travel websites often involve comparatively complex journeys including destination research, availability checks, filtering, price comparison and booking forms.

This makes responsiveness throughout the journey particularly important.

The study also found a 1.9% increase in average order value for the participating travel brands.

Sector implication: Performance optimisation may have different commercial effects according to industry, user journey and transaction complexity.

Source: Deloitte, Milliseconds Make Millions.


9. A 2026 ecommerce case study recorded a 68% improvement in LCP

Google’s web.dev reported that Nuvemshop’s image-prioritisation programme produced a 68% improvement in Largest Contentful Paint.

The case study is particularly relevant because it covers a large ecommerce platform and compares stores active between January 2025 and January 2026.

Nuvemshop discovered that the main problem was not simply image file weight or server latency. The way dynamically positioned hero content was discovered and prioritised affected how quickly the LCP element rendered.

This demonstrates why modern performance optimisation requires diagnosis rather than simply compressing every image or installing another caching tool.

Technical implication: Improving performance requires identifying which part of the loading path is actually responsible for delay.

Source: Google web.dev, How Nuvemshop’s Image Prioritization Strategy Led to a 68% Improvement in LCP and 8.9% More Conversions, 2026.


10. The same 2026 optimisation programme was associated with an 8.9% increase in mobile organic conversion rate

Among the same cohort of Nuvemshop stores active in January 2025 and January 2026, mobile visitors arriving through Google organic search showed an 8.9% increase in session-to-paid-order conversion rate.

Cart engagement increased by a further 8.4% in the analysed cohort.

At the beginning of the programme, only 48% of the stores passed Core Web Vitals. Following the optimisation work, the pass rate increased to 72%.

The case study does not prove that LCP improvement alone caused every commercial change, but it provides a recent real-world example in which substantial performance improvement occurred alongside measurable improvement in ecommerce behaviour.

Business implication: Technical performance programmes should ideally be evaluated against both user-experience metrics and commercial outcomes.

Source: Google web.dev / Nuvemshop performance case study, 2026.


What Statistics 1–10 Tell Us

The evidence supports a clear distinction between website speed as a technical metric and website performance as a business issue.

Users experience performance throughout a journey. Delays can occur before the first useful content appears, while navigating between pages, when interacting with filters or forms, and during checkout or enquiry processes.

The research also shows why speed statistics require context. Some of the best-known behavioural benchmarks are several years old, while newer real-world performance data provides a more current view of how modern websites actually behave.

The principal findings from Statistics 1–10 are:

  • Slow mobile experiences have historically been associated with high abandonment.
  • Faster B2B pages have been associated with substantially stronger conversion rates.
  • Ecommerce performance can influence multiple stages of the buying journey.
  • Small speed improvements can become commercially significant at scale.
  • Performance effects vary by sector and user journey.
  • Modern optimisation requires diagnosis of the underlying performance bottleneck.
  • Recent ecommerce evidence continues to show commercial improvement alongside major Core Web Vitals gains.

The relationship can be represented as:

Technical Performance
↓
Faster User Experience
↓
Reduced Friction
↓
Stronger Journey Progression
↓
Higher Conversion Opportunity

Website speed should therefore be treated as part of the customer experience and commercial optimisation process, not simply as a score produced by a performance-testing tool.

Statistics 11–20 — Core Web Vitals & Technical Performance

Core Web Vitals provide a more sophisticated view of website performance than a single page-load-time figure.

The current Core Web Vitals measure three different elements of real-world user experience:

  • Largest Contentful Paint (LCP) — loading performance.
  • Interaction to Next Paint (INP) — responsiveness to user interaction.
  • Cumulative Layout Shift (CLS) — visual stability.

Google currently defines a good LCP as 2.5 seconds or less, a good INP as 200 milliseconds or less, and a good CLS as 0.1 or less. Performance is assessed at the 75th percentile so that the recommended experience is being delivered to the majority of users.

Research context: HTTP Archive combines controlled testing with Chrome UX Report field data. Its 2025 analysis is based primarily on July 2025 measurements and provides one of the strongest large-scale views available of real-world web performance.


11. Only 48% of mobile websites achieved good overall Core Web Vitals in 2025

HTTP Archive found that only 48% of mobile websites achieved a good overall Core Web Vitals experience in 2025.

This means that more than half of measured mobile websites did not simultaneously satisfy the recommended thresholds for LCP, INP and CLS.

Performance has nevertheless improved substantially. The equivalent mobile pass rate was 36% in 2023 and 44% in 2024.

The continued improvement suggests that browser changes, better devices, improved frameworks and deliberate optimisation are producing measurable progress across the web.

Mobile implication: Passing all three Core Web Vitals remains a meaningful differentiator because a majority of mobile websites still fail to do so.

Source: HTTP Archive, Web Almanac 2025 — Performance.


12. 56% of desktop websites achieved good overall Core Web Vitals

56% of desktop websites achieved a good overall Core Web Vitals result in 2025.

Desktop performance remains stronger than mobile overall, although the difference is smaller than might be expected given the substantially greater processing power and more stable network conditions typically available on desktop devices.

Desktop Core Web Vitals performance improved from 48% in 2023 to 55% in 2024, but increased by only one percentage point during 2025.

This suggests that progress may become progressively harder as websites attempt to eliminate the remaining performance bottlenecks.

Technical implication: Desktop performance should not be assumed to be acceptable simply because desktop hardware is more powerful.

Source: HTTP Archive, Web Almanac 2025 — Performance.


13. Secondary pages outperform homepages on overall Core Web Vitals

56% of mobile secondary pages achieved good Core Web Vitals compared with only 45% of mobile homepages.

The pattern is even more pronounced on desktop, where 61% of secondary pages passed compared with 47% of homepages.

HTTP Archive suggests that secondary pages may benefit from resources already being cached, while homepages are often more complex and contain a greater number of dynamic elements, promotional components and media assets.

This is important because organisations often devote disproportionate optimisation effort to the homepage while assuming deeper pages will behave similarly.

Audit implication: Performance should be measured across page templates and customer journeys rather than using the homepage as a proxy for the entire website.

Source: HTTP Archive, Web Almanac 2025 — Performance.


14. Only 62% of mobile websites achieved a good Largest Contentful Paint

62% of mobile websites recorded a good LCP of 2.5 seconds or less in 2025.

A further 25% fell into Google’s “needs improvement” range of 2.5 to 4 seconds, while 13% recorded poor LCP performance above four seconds.

Desktop performance was stronger: 74% achieved a good LCP, 18% needed improvement and 7% were classified as poor.

The difference illustrates the continuing impact of slower mobile networks and less powerful devices on perceived loading performance.

Loading implication: LCP remains one of the principal areas where mobile users experience materially weaker performance than desktop users.

Source: HTTP Archive, Web Almanac 2025 — Performance.


15. Images are the LCP element on 76% of mobile pages

Images represented the Largest Contentful Paint element on 76% of mobile pages analysed by HTTP Archive.

On desktop, the percentage was even higher at 85.3%.

Text represented approximately 23.7% of mobile LCP elements and 14.4% on desktop.

This demonstrates why image delivery remains such an important performance consideration. Hero images, banners, product photography and featured images frequently determine when users perceive the page’s main content as having loaded.

Image implication: Image format, dimensions, compression, loading priority and responsive delivery can have a direct effect on LCP performance.

Source: HTTP Archive, Web Almanac 2025 — Performance.


16. 77% of mobile websites achieved good Interaction to Next Paint

77% of mobile websites achieved a good INP of 200 milliseconds or less in 2025.

This represented an improvement from 74% in 2024.

A further 21% of mobile websites fell into the “needs improvement” category, while approximately 3% recorded poor INP above 500 milliseconds.

INP is important because it measures responsiveness across user interactions rather than focusing only on the initial loading sequence.

A website can therefore appear visually complete but still feel slow when users open menus, apply filters, select options or interact with forms.

Responsiveness implication: Performance optimisation should continue after the page becomes visible; interaction quality matters throughout the visit.

Source: HTTP Archive, Web Almanac 2025 — Performance.


17. 97% of desktop websites achieved good INP

97% of desktop websites achieved a good Interaction to Next Paint score in 2025.

The difference between mobile and desktop INP performance remains considerable at approximately 20 percentage points.

Desktop processors can typically execute JavaScript more quickly, while mobile devices vary widely in processing capability.

This illustrates why developers testing websites on powerful desktop computers can substantially underestimate responsiveness problems experienced by mobile users.

Testing implication: Real-user mobile performance data is essential because desktop development environments can hide interaction delays.

Source: HTTP Archive, Web Almanac 2025 — Performance.


18. Good mobile INP among the top 1,000 websites increased from 53% to 63%

The 1,000 most popular websites improved their good mobile INP rate by 10 percentage points during 2025, rising from 53% to 63%.

This was one of the strongest improvements observed in the dataset.

However, the most popular websites still performed below the overall mobile average of 77%.

Large, high-traffic sites frequently contain complex functionality, extensive JavaScript, advertising systems, analytics platforms, personalisation and third-party integrations that make responsiveness more difficult to optimise.

Enterprise implication: High website traffic and large development teams do not automatically produce stronger performance; complexity itself can become a performance constraint.

Source: HTTP Archive, Web Almanac 2025 — Performance.


19. Median mobile Total Blocking Time reached 1,916 milliseconds

The median Total Blocking Time measured on mobile pages reached 1,916 milliseconds in 2025, compared with only 92 milliseconds on desktop.

Mobile median TBT increased by 58% from 1,209 milliseconds in 2024.

At the 90th percentile, mobile Total Blocking Time exceeded 7.5 seconds.

This creates an interesting contrast with improving field-based INP results. Users are seeing better measured interaction responsiveness, while controlled testing still detects substantial growth in background main-thread work.

JavaScript complexity, third-party scripts and background execution can therefore remain major technical risks even when headline Core Web Vitals appear to improve.

JavaScript implication: Passing INP does not mean developers should ignore main-thread blocking, script execution and page complexity.

Source: HTTP Archive, Web Almanac 2025 — Performance.


20. 81% of mobile pages achieved good visual stability

81% of mobile pages achieved a good Cumulative Layout Shift score of 0.1 or less in 2025.

Mobile pages actually outperformed desktop pages for visual stability, where 72% achieved a good CLS score.

Approximately 9% of mobile pages and 10% of desktop pages were classified as having poor CLS.

The long-term improvement has been substantial. In 2021, only 62% of both mobile and desktop websites achieved good CLS. By 2025, mobile had increased to 81% and desktop to 72%.

However, basic implementation issues remain common. HTTP Archive found that 62% of mobile pages and 65% of desktop pages still failed to specify explicit dimensions for at least one image, creating continued potential for layout instability.

Visual-stability implication: Many CLS problems can still be prevented through relatively basic development practices such as reserving space for images, advertisements, embeds and dynamically injected content.

Source: HTTP Archive, Web Almanac 2025 — Performance.


What Statistics 11–20 Tell Us

The Core Web Vitals data demonstrates that website performance is improving, but the progress is uneven.

Mobile remains the principal challenge. Only 48% of mobile websites currently pass all three Core Web Vitals, and mobile continues to perform materially worse than desktop for loading speed and interaction responsiveness.

At the same time, individual metrics reveal a more complicated picture. Mobile visual stability now exceeds desktop performance, INP is improving, yet laboratory measurements show increasing amounts of main-thread blocking.

The key findings from Statistics 11–20 are:

  • More than half of mobile websites still fail overall Core Web Vitals.
  • Desktop performance is stronger but far from universal.
  • Secondary pages can perform differently from homepages.
  • LCP remains a major mobile weakness.
  • Images determine LCP on the majority of pages.
  • Mobile responsiveness has improved significantly.
  • Desktop hardware can mask interaction-performance problems.
  • Popular websites face additional performance challenges because of complexity.
  • JavaScript and main-thread blocking remain substantial mobile issues.
  • Visual stability has improved considerably, although basic implementation errors remain widespread.

Modern website performance should therefore be considered across several connected layers:

Loading Performance
↓
Interaction Responsiveness
↓
Visual Stability
↓
Real-World Device Performance
↓
Consistent User Experience

Core Web Vitals are most useful when treated as diagnostic indicators of real user experience rather than as isolated scores to be chased without understanding the technical causes behind them.

Statistics 21–30 — Mobile Performance

Mobile performance remains one of the most important challenges in modern website delivery.

Responsive design has made it possible for the same website to work across multiple screen sizes, but responsive layout alone does not guarantee a fast mobile experience. Mobile devices frequently operate with less processing power, more variable network conditions and tighter memory constraints than desktop computers.

At the same time, modern mobile pages continue to load substantial quantities of images, JavaScript, fonts and third-party resources.

The result is an important distinction: a website may look mobile-friendly while still delivering a technically demanding mobile experience.

Research context: The statistics below are based primarily on HTTP Archive’s 2025 Web Almanac, which analyses millions of web pages and real-world Chrome UX Report data to examine how websites are actually delivered to users.


21. Only 55% of mobile websites achieve a good First Contentful Paint

55% of mobile websites achieved a good First Contentful Paint of less than 1.8 seconds in 2025.

This represented an improvement from 51% in 2024, while the proportion of mobile pages with poor FCP declined from 18% to 16%.

First Contentful Paint measures how quickly the browser displays the first visible piece of page content after navigation begins.

It therefore contributes strongly to the user’s initial perception of whether the website is responding.

A page may ultimately achieve an acceptable LCP while still feeling slow if the screen remains visually empty for too long at the beginning of the experience.

Mobile implication: Early visual feedback matters because users begin judging performance before the largest page element has finished rendering.

Source: HTTP Archive, Web Almanac 2025 — Performance.


22. Only 44% of mobile websites achieve a good Time to First Byte

Only 44% of mobile websites achieved a good Time to First Byte of less than 0.8 seconds in 2025.

A further 40% fell into the “needs improvement” range, while 17% were classified as poor.

Mobile TTFB improved slightly from 42% achieving a good result in 2024, but the figures show that server and network response remain significant performance constraints.

TTFB can be affected by hosting infrastructure, redirects, network latency, backend processing, caching and content-delivery architecture.

Infrastructure implication: Front-end optimisation cannot fully compensate for consistently slow server response. Performance work needs to consider the complete delivery path.

Source: HTTP Archive, Web Almanac 2025 — Performance.


23. Only 15% of mobile pages pass the render-blocking resources audit

Only 15% of mobile pages passed HTTP Archive’s render-blocking resources audit in 2025.

The rate improved only slightly from 14% in 2024.

Render-blocking stylesheets, scripts and other resources can delay the browser from displaying useful content even when the underlying network connection is reasonably fast.

This means perceived speed depends not only on how many bytes are transferred but also on the order in which critical resources are discovered, downloaded and processed.

Rendering implication: Performance optimisation should prioritise the critical rendering path rather than simply attempting to reduce total page size indiscriminately.

Source: HTTP Archive, Web Almanac 2025 — Performance.


24. The median mobile homepage now weighs approximately 2.56 MB

The median mobile homepage reached approximately 2.56 MB in 2025.

HTTP Archive reports that the median mobile homepage increased from approximately 2.4 MB in 2024, representing year-on-year growth of 8.4%.

The growth is striking because mobile devices are often the environments in which bandwidth and processing resources are most constrained.

A heavier page does not automatically mean a slow page, because compression, caching, prioritisation and network conditions all affect delivery. However, greater weight increases the amount of data the browser may need to transfer and process.

Page-weight implication: Mobile performance budgets remain valuable even as network speeds and device capabilities improve.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


25. Median mobile inner-page weight has increased 27.8% since 2022

The median mobile inner page reached approximately 1.8 MB in 2025, representing a 27.8% increase since HTTP Archive began tracking inner-page weight in 2022.

This is important because users frequently enter websites directly through product pages, service pages, articles and landing pages rather than through the homepage.

Performance programmes focused only on the homepage can therefore overlook the pages that organic search, paid campaigns and AI referrals actually deliver users into.

Journey implication: Performance budgets should apply across templates and content types, not solely to the homepage.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


26. Images account for approximately 911 KB on the median mobile homepage

The median mobile homepage transferred approximately 911 KB of image resources in 2025.

Images represented the largest individual content category by transferred bytes on the median mobile homepage.

By comparison, JavaScript accounted for approximately 632 KB, fonts 122 KB, CSS 77 KB and HTML 22 KB within the homepage analysis.

Image optimisation therefore remains one of the most accessible opportunities for reducing mobile payload.

However, optimisation should include more than compression. Appropriate dimensions, responsive image delivery, modern formats and correct loading priority can all influence performance.

Image implication: Mobile users should not automatically receive desktop-sized visual assets when substantially smaller resources can satisfy the viewport.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


27. Median mobile pages transfer approximately 646 KB of JavaScript

The median mobile page transferred approximately 646 KB of compressed JavaScript in 2025.

At the 90th percentile, mobile JavaScript payload rose to approximately 1.91 MB.

JavaScript creates a different performance cost from static assets such as images because scripts must not only be transferred but also parsed, compiled and executed.

This processing cost is particularly important on mobile devices with less powerful CPUs.

JavaScript implication: The number of bytes transferred understates the true cost of JavaScript because execution creates additional CPU and main-thread work after download.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


28. The median mobile page contains approximately 251 KB of unused JavaScript

HTTP Archive measured approximately 251 KB of uncompressed unused JavaScript on the median mobile page.

At the 90th percentile, the figure increased to approximately 931 KB.

Unused JavaScript represents code that the browser downloads and processes but does not need for the measured page experience.

This can result from broad framework bundles, plugins, tag managers, third-party integrations or functionality loaded globally even when it is not required on an individual page.

Efficiency implication: One of the most valuable JavaScript optimisations is not simply compressing code but avoiding unnecessary code delivery altogether.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


29. The median mobile page makes approximately 72 network requests

The median mobile page required approximately 72 network requests in 2025, with mobile request volume increasing around 9% year on year.

Page performance is affected by more than total transferred bytes. Every individual resource request can introduce connection, scheduling and processing overhead.

HTTP Archive’s median mobile page included requests for HTML, CSS, fonts, images and a substantial number of JavaScript files.

This means a relatively lightweight page can still become inefficient if it requires a highly fragmented sequence of resource requests before becoming usable.

Request implication: Performance audits should consider both page weight and request complexity.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


30. 87% of mobile pages use at least one web font

87% of mobile pages analysed by HTTP Archive use at least one web font.

Custom typography can strengthen visual identity, but fonts introduce additional network and rendering considerations.

If essential fonts arrive late, users may initially see fallback text before the intended font replaces it. Differences in character dimensions can then contribute to visual movement.

Despite widespread font usage, HTTP Archive found that only around 16% of mobile pages used preload for fonts in 2025.

Other resource hints were also relatively limited, with approximately 22% using preconnect and 24% using DNS prefetch.

Typography implication: Brand typography should be delivered efficiently. Font selection, subset size, preload strategy and fallback matching can all influence mobile performance.

Source: HTTP Archive, Web Almanac 2025 — Performance.


What Statistics 21–30 Tell Us

Mobile performance is not simply a smaller-screen version of desktop performance.

The modern mobile browser may be required to download more than two megabytes of resources, execute hundreds of kilobytes of JavaScript, resolve dozens of network requests, load custom fonts and render substantial visual assets — often over a variable connection and on hardware significantly less powerful than the developer’s desktop computer.

This helps explain why responsive design alone is insufficient.

The main findings from Statistics 21–30 are:

  • Almost half of mobile websites still fail to deliver good First Contentful Paint.
  • Good mobile server response remains far from universal.
  • Most mobile pages still contain render-blocking opportunities.
  • Mobile page weight continues to increase.
  • Inner pages are becoming heavier as well as homepages.
  • Images remain the largest major contributor to mobile payload.
  • JavaScript creates substantial network and CPU costs.
  • Significant volumes of JavaScript are downloaded without being required.
  • Request complexity continues to increase.
  • Custom web fonts are almost universal but are not always prioritised efficiently.

A useful mobile-performance model is therefore:

Server Response
↓
Resource Prioritisation
↓
Page Weight
↓
JavaScript Execution
↓
Rendering & Interaction
↓
Real Mobile Experience

For UK organisations, mobile performance should therefore be tested as a distinct real-user experience rather than inferred from desktop speed or responsive appearance.

Statistics 31–40 — Conversion, Ecommerce & Revenue Impact

Technical performance becomes commercially important when improvements in loading, interaction and navigation translate into measurable changes in customer behaviour.

The relationship is not identical for every organisation. Conversion rates are affected by traffic quality, pricing, product demand, design, brand trust, seasonality and many other factors. Website speed should therefore not be treated as a guaranteed revenue formula.

However, controlled experiments and real-world performance programmes repeatedly show that reducing friction can coincide with meaningful improvements in conversion, engagement, order progression and revenue.

Research note: Statistics 31–40 are primarily individual company case studies rather than population-wide benchmarks. They demonstrate the scale of outcomes achieved in specific environments and should not be interpreted as guaranteed results for every website.


31. Ray-Ban increased mobile product-page conversion rates by 101.47%

Ray-Ban reported a 101.47% increase in mobile conversion rates on product detail pages after introducing prerendering for likely future navigations.

The programme used the Speculation Rules API to prepare product pages before users completed the navigation.

Mobile LCP fell from 4.69 seconds to 2.66 seconds, representing an improvement of approximately 43%.

Ray-Ban compared users receiving conventionally served product pages with users receiving prerendered pages and observed substantial differences in business performance.

Ecommerce implication: Improving the transition between product-listing and product-detail pages can influence the performance of a critical part of the ecommerce journey.

Source: Google web.dev, Ray-Ban Speculation Rules Case Study, 2025.


32. Ray-Ban increased desktop product-page conversion rates by 156.16%

The same Ray-Ban experiment recorded a 156.16% increase in desktop product-detail-page conversion rates.

Desktop LCP improved from 3.03 seconds to 1.74 seconds after prerendering was introduced.

The scale of improvement should be understood within the specific experiment rather than treated as a general prediction for other ecommerce websites.

Nevertheless, the case study demonstrates that navigation performance between commercially important pages can be as significant as the initial landing-page load.

Journey implication: Ecommerce performance optimisation should consider repeat navigations between product categories, product pages, baskets and checkout rather than focusing exclusively on first load.

Source: Google web.dev, Ray-Ban Speculation Rules Case Study, 2025.


33. Ray-Ban reduced product-page exit rates by approximately 13%

Exit rates fell by 13.25% on mobile and 13.18% on desktop within Ray-Ban’s prerendering experiment.

Average pages viewed per session also increased by 51.95% on mobile and 65.30% on desktop.

This is important because performance can affect more than final conversion. A smoother experience can influence whether users continue exploring products rather than abandoning the journey.

Engagement implication: Exit rate, pages per session and journey progression can provide valuable supporting indicators when evaluating the commercial effects of performance improvements.

Source: Google web.dev, Ray-Ban Speculation Rules Case Study, 2025.


34. T-Mobile improved its visit-to-order rate by 60%

T-Mobile reported a 60% improvement in the conversion rate from prospect visits with shopping intent to completed orders during its website-performance programme.

The programme produced an overall 42% reduction in Largest Contentful Paint.

T-Mobile combined real-user Web Vitals data with business analytics, allowing teams to examine how slower LCP corresponded with higher bounce rates and lower conversion rates.

The resulting data was used to make the business case for a cross-functional performance programme involving SEO, product and engineering teams.

Commercial implication: Connecting field performance data directly with conversion data can make technical optimisation easier to prioritise at executive level.

Source: Google web.dev, T-Mobile Web Performance Case Study, 2025.


35. T-Mobile reduced slow-loading website complaints by 34%

T-Mobile recorded a 34% reduction in customer complaints specifically relating to slow website loading.

Overall website complaints fell by 20% during the same broader performance programme.

This illustrates a dimension of website performance that conversion analysis alone can miss: slow experiences can create service issues and customer dissatisfaction.

Performance therefore has potential implications for customer experience teams as well as marketing and ecommerce teams.

Customer-experience implication: User complaints can provide useful qualitative evidence alongside Core Web Vitals and conversion metrics.

Source: Google web.dev, T-Mobile Web Performance Case Study, 2025.


36. QuintoAndar increased conversions by 36% after major INP improvement

QuintoAndar reported a 36% year-on-year increase in conversion volume after reducing Interaction to Next Paint by approximately 80%.

For QuintoAndar, a conversion represented a new lead scheduling a property visit.

The company emphasised that the increase was strongly associated with, but not solely caused by, improved user engagement resulting from the performance work.

This qualification is important because commercial metrics can change for many reasons during the same period.

Measurement implication: Performance programmes should identify associations with business results while avoiding unsupported claims that a single technical change caused every observed commercial improvement.

Source: Google web.dev, QuintoAndar INP Case Study, 2025.


37. QuintoAndar increased the proportion of pages with good INP from 42% to 78%

The proportion of QuintoAndar pages achieving good INP increased from 42% to 78% during its optimisation programme.

At the same time, the proportion delivering a poor INP experience fell from 32% to 6.9%.

The programme included real-user monitoring, removal of unnecessary third-party pixels, long-task optimisation and changes to React rendering behaviour.

This reinforces the importance of runtime responsiveness for complex digital products where users actively search, filter, compare and submit information.

Interaction implication: Commercial websites should measure the responsiveness of real interactions rather than concentrating exclusively on how quickly the first screen becomes visible.

Source: Google web.dev, QuintoAndar INP Case Study, 2025.


38. Rakuten 24 increased revenue per visitor by 53.37%

Rakuten 24 reported a 53.37% increase in revenue per visitor when comparing an optimised mobile experience with an unoptimised version.

The two versions were designed to be visually and functionally identical, while the optimised version delivered stronger Web Vitals and finished loading approximately 0.4 seconds earlier in the mobile test.

The experiment provides a useful example of how performance can be tested while attempting to minimise major design and functional differences between variants.

Revenue implication: Revenue per visitor can be a valuable performance KPI because it connects technical improvements directly with the economic value of site traffic.

Source: Google web.dev, Rakuten 24 Core Web Vitals Case Study.


39. Rakuten 24 increased conversion rate by 33.13%

The same Rakuten 24 experiment recorded a 33.13% increase in conversion rate.

Average order value increased by 15.20%, average time spent increased by 9.99%, and exit rate fell by 35.12%.

The wider set of outcomes demonstrates why website performance should not be judged using a single commercial metric.

Improvements can affect several parts of customer behaviour simultaneously, including conversion, order value, engagement and abandonment.

Analytics implication: Performance programmes should track a basket of relevant business KPIs rather than searching for one universal speed-to-revenue metric.

Source: Google web.dev, Rakuten 24 Core Web Vitals Case Study.


40. Swappie increased mobile revenue by 42%

Swappie reported a 42% increase in mobile revenue after a three-month programme focused on Core Web Vitals and mobile performance.

The refurbished-phone retailer tracked mobile conversion performance relative to desktop in an attempt to reduce the effect of shared campaigns and seasonality.

Its relative mobile conversion rate increased from 24% to 34% during the performance programme.

This approach is useful because it recognises that conversion rates are influenced by factors outside website speed. Comparing related user groups can sometimes provide more meaningful evidence than reviewing one headline conversion rate in isolation.

Measurement implication: Organisations should design performance measurement around the structure of their own business rather than relying entirely on generic industry benchmarks.

Source: Google web.dev, Swappie Core Web Vitals Case Study.


What Statistics 31–40 Tell Us

The commercial case studies reinforce one central point: website performance should not be separated from the customer journey.

Loading speed, navigation latency and interaction responsiveness can affect whether users continue browsing, place products in baskets, submit enquiries or complete purchases.

However, the wide variation in reported outcomes also demonstrates why universal statements such as “one second faster equals X% more revenue” should be treated cautiously.

The evidence from Statistics 31–40 suggests:

  • Navigation speed between ecommerce pages can affect conversion and exit behaviour.
  • Performance improvements can influence order progression as well as final purchases.
  • Real-user performance data can help connect technical metrics with commercial KPIs.
  • Customer complaints can provide another measure of performance quality.
  • Interaction responsiveness can be commercially important for complex websites.
  • Controlled and comparative experiments provide stronger evidence than general assumptions about speed.
  • Performance can influence revenue per visitor, conversion, order value and engagement simultaneously.
  • The commercial impact of performance varies substantially between organisations.

A more useful commercial-performance model is:

Faster Loading & Interaction
↓
Lower User Friction
↓
Stronger Journey Progression
↓
Improved Engagement
↓
Greater Conversion Opportunity
↓
Potential Revenue Impact

The strongest business case for performance therefore comes from combining real-user speed measurements with the organisation’s own conversion, engagement and revenue data.

Statistics 41–50 — Page Weight, SEO & Modern Web Delivery

Modern website performance is increasingly shaped by the amount of data browsers need to download, the number of resources they need to request and the amount of code they must process before and after a page becomes visible.

Faster networks and more powerful devices have improved what websites can deliver, but the web has simultaneously become substantially heavier and more complex.

Images, JavaScript, video, advertising systems, analytics, consent platforms, personalisation, fonts and third-party integrations can all contribute to page weight and processing overhead.

The final ten statistics therefore examine the underlying delivery architecture behind website speed, together with the relationship between technical performance and search experience.

Research context: The 2025 Web Almanac analysed approximately 16.2 million websites and processed 244 TB of data. Unless otherwise noted, its metrics use HTTP Archive’s July 2025 dataset.


41. The median web page now weighs approximately 2.41 MB on desktop and 2.16 MB on mobile

HTTP Archive measured median overall page weights of approximately 2,412 KB on desktop and 2,164 KB on mobile in 2025.

These figures represent the 50th percentile across the wider dataset rather than homepages alone.

The difference between desktop and mobile has narrowed considerably over time, meaning mobile users frequently receive almost as much data as desktop users despite operating on smaller screens and, in many cases, less powerful devices.

Page weight alone does not determine performance, but every additional resource increases the potential network and processing work required to render the experience.

Delivery implication: Mobile should not automatically inherit desktop resource payloads simply because responsive layouts can display them.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


42. At the 90th percentile, pages exceed 9 MB on desktop and 8 MB on mobile

At the 90th percentile, HTTP Archive measured approximately 9,179 KB of transferred data on desktop pages and 8,337 KB on mobile pages.

These are substantial payloads for ordinary web browsing.

Heavy pages can be particularly problematic for users on constrained mobile networks, older devices or limited data plans.

The effect is not limited to initial transfer time. Browsers may also need to decode images, parse styles, compile JavaScript and allocate memory for the downloaded resources.

Accessibility implication: Excessive page weight can create a disproportionately poor experience for users with slower hardware or connectivity.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


43. The median homepage is approximately 45% heavier than the median inner page

Across device types, HTTP Archive measured a median homepage weight of approximately 2,710 KB compared with 1,866 KB for inner pages.

Homepages frequently contain large hero assets, promotional components, animations, sliders, video, tracking systems and multiple pathways into deeper areas of a website.

That complexity can make the homepage one of the heaviest templates even though many users arrive directly on inner pages through search engines, advertising campaigns, external links and AI-driven discovery.

Architecture implication: Performance optimisation should prioritise templates according to both page complexity and actual traffic-entry patterns.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


44. Mobile homepage weight has increased by approximately 203% over a decade

HTTP Archive reports that median mobile homepage weight increased by approximately 202.8% between July 2015 and July 2025.

Desktop homepage weight increased by approximately 110.2% over the same decade.

The increase reflects the expanding capabilities of modern websites, but it also demonstrates how improvements in networks and hardware can be absorbed by additional functionality and richer media.

In other words, the web can become faster technologically while individual pages simultaneously become heavier.

Long-term implication: Performance gains from improved infrastructure can be lost when page complexity grows faster than delivery efficiency.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


45. 98.1% of web pages request at least one JavaScript file

98.1% of pages analysed by HTTP Archive made at least one external JavaScript request in 2025.

The figure does not include JavaScript embedded directly inside HTML, meaning actual JavaScript usage is even broader.

The median desktop page made 23 JavaScript requests and the median mobile page made 22.

At the 90th percentile, those figures increased to 67 requests on desktop and 65 on mobile.

JavaScript is particularly important because it creates what HTTP Archive describes as a double performance cost: data must first be transferred and then processed by the user’s device.

Development implication: JavaScript should be evaluated according to whether its functionality justifies both its network and execution costs.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


46. 83% of LCP images still use JPG or PNG

57% of Largest Contentful Paint images use JPG and another 26% use PNG, meaning approximately 83% use these two legacy formats.

WebP represented approximately 11% of LCP images, while AVIF remained below 1%.

This matters because the LCP image is frequently one of the most performance-sensitive resources on the page.

Modern formats can often provide comparable visual quality at lower transfer sizes, although the optimal format depends on the image characteristics, encoding settings and delivery pipeline.

Image implication: Updating image-generation and delivery workflows can create performance improvements without necessarily reducing visual quality.

Source: HTTP Archive, Web Almanac 2025 — Performance.


47. WebP gained around four percentage points of LCP-image usage in one year

Between 2024 and 2025, WebP’s share of LCP images increased by approximately four percentage points while JPG declined by roughly four points.

AVIF reached approximately 0.7% of LCP images.

The direction shows gradual migration towards newer formats, but the pace remains relatively slow considering their broad browser support.

Legacy media libraries, CMS defaults, existing upload workflows and compatibility fallbacks can all slow adoption.

Modernisation implication: Image performance is partly an editorial and infrastructure issue; efficient formats need to be incorporated into the publishing workflow rather than applied manually page by page.

Source: HTTP Archive, Web Almanac 2025 — Performance.


48. Mobile video resources reach almost 4.8 MB at the 90th percentile

At the 90th percentile, HTTP Archive measured approximately 4,799 KB of video resources on mobile pages and 3,904 KB on desktop.

At the median, pages containing video transferred approximately 384 KB of video on mobile and 247 KB on desktop.

Median video bytes increased by 28% year on year, from approximately 246 KB in 2024 to 315 KB in 2025 across the analysed dataset.

Video can create highly effective visual experiences, but autoplay backgrounds, looping hero media and embedded players can introduce substantial payload.

Media implication: Video should be treated as a high-cost performance asset and loaded according to actual user value rather than decorative convention.

Source: HTTP Archive, Web Almanac 2025 — Page Weight.


49. The top 1,000 websites make a median 106 third-party requests on mobile

The top 1,000 websites generated a median 106 third-party requests on mobile and 129 on desktop in HTTP Archive’s 2025 analysis.

Across the wider dataset, the equivalent median was 79 requests on mobile and 83 on desktop.

Third-party requests increased year on year: the top 1,000 sites added approximately 15 requests on both desktop and mobile, while the wider dataset added around five.

These resources can include advertising, analytics, tag management, consent systems, social features, video platforms and other external services.

Governance implication: Third-party technology should be treated as part of performance governance because external scripts can create significant resource and main-thread costs.

Source: HTTP Archive, Web Almanac 2025 — Third Parties.


50. Zstandard compression adoption on CDNs increased from 3% to 12% in one year

HTTP Archive reports that Zstandard compression adoption across CDN delivery increased from approximately 3% in 2024 to 12% in 2025.

Modern delivery networks are increasingly adopting more efficient compression technologies, although gzip remains widely used.

For origin-served resources in the analysed mobile dataset, approximately 61% used gzip compared with 39% using Brotli.

Compression is particularly useful for text-based resources including HTML, CSS, JavaScript, JSON and SVG, where substantial reductions in transfer size can often be achieved without changing the content delivered to users.

Infrastructure implication: Modern web performance depends not only on reducing the amount of content a website uses, but also on delivering necessary resources as efficiently as possible.

Source: HTTP Archive, Web Almanac 2025 — CDN.


What Statistics 41–50 Tell Us

The final statistics demonstrate one of the central tensions in web performance: infrastructure continues to improve while websites continue to become heavier and more complex.

Faster networks, modern image formats, improved compression and more capable browsers provide significant opportunities for better performance. Yet those gains are frequently consumed by additional JavaScript, larger media assets, third-party services and increasingly complicated page functionality.

The principal findings from Statistics 41–50 are:

  • The typical web page now transfers more than two megabytes of data.
  • The heaviest mainstream pages can exceed eight or nine megabytes.
  • Homepages remain significantly heavier than inner pages.
  • Mobile homepage weight has approximately tripled over a decade.
  • JavaScript is now effectively universal across the web.
  • Legacy image formats still dominate LCP assets.
  • Modern image-format adoption is increasing, but gradually.
  • Video can introduce extremely large payloads.
  • Third-party resource usage continues to grow.
  • Modern compression provides another opportunity to reduce delivery cost.

The wider performance challenge can therefore be represented as:

More Functionality
↓
Greater Resource Complexity
↓
Higher Network & CPU Cost
↓
Greater Performance Risk
↓
Need for Stronger Performance Governance

Website Speed and SEO: What Google Actually Says

Website performance is relevant to search, but the relationship should be described accurately.

Google states that its core ranking systems use Core Web Vitals as part of the signals associated with page experience.

However, Google explicitly states that there is no single page experience ranking signal and that obtaining good Core Web Vitals scores does not guarantee that a page will rank at the top of search results.

Google also advises site owners not to pursue a perfect performance score purely for SEO reasons. Relevance and useful content remain fundamental, while strong page experience can contribute to success where multiple pages offer similarly useful information.

CGO Media interpretation: Website speed should not be treated as a shortcut to higher rankings. Its strongest value lies in improving real user experience, reducing technical friction and supporting the overall quality of the page experience while SEO continues to depend on relevance, content quality, authority and many other signals.

CGO Media Analysis — What the 50 Website Speed Statistics Tell Us

Taken together, the 50 statistics in this report show that website performance should no longer be treated as a narrow technical issue owned exclusively by developers.

Performance affects how quickly users see useful information, how easily they interact with a website, how smoothly they move through commercial journeys and how reliably pages behave across different devices and network conditions.

The evidence also demonstrates that website speed is becoming more complex. Faster hosting or image compression alone cannot solve every performance problem. Modern websites increasingly depend on JavaScript, third-party services, media assets, personalisation systems, analytics platforms and dynamic interfaces that all contribute to the final user experience.

The central finding from the 2026 evidence is straightforward: website performance is no longer about achieving the fastest possible score. It is about delivering a consistently fast, responsive and stable experience across the pages and journeys that matter most to users and the business.

1. Mobile Remains the Principal Performance Challenge

The strongest recurring pattern across the data is the difference between mobile and desktop performance.

Mobile users generally operate with less processing power, more variable connectivity and tighter resource constraints. At the same time, mobile pages frequently receive almost the same amount of data and functionality as their desktop equivalents.

This creates a structural performance problem.

A website can appear perfectly responsive from a design perspective while still requiring a mobile device to download and process several megabytes of resources and execute substantial amounts of JavaScript.

CGO Media interpretation: Mobile performance should be treated as its own operating environment rather than as a smaller visual version of desktop.

2. Core Web Vitals Are Useful Because They Separate Different Types of Performance Failure

A single page-load-time figure cannot explain every problem users encounter.

A website can display its main content quickly but respond slowly to interaction. It can load quickly but shift visually while the user tries to click. It can also appear responsive after a long period in which the browser initially shows very little useful information.

Core Web Vitals help separate these different experiences through loading performance, interaction responsiveness and visual stability.

This makes them valuable diagnostic indicators rather than merely search-engine metrics.

CGO Media interpretation: Core Web Vitals are most useful when they help identify which part of the user experience is failing and why.

3. Website Performance Is a Journey, Not a Homepage Score

One of the most important findings from the research is the difference between homepages and deeper pages.

Users increasingly enter websites through service pages, product pages, articles, category pages, campaign landing pages and other internal URLs.

Search engines, advertising campaigns, external links and AI-assisted discovery can all send users directly into these deeper parts of the site.

A fast homepage therefore provides little protection if the pages supporting the customer journey perform poorly.

CGO Media interpretation: Performance programmes should be organised around page templates and customer journeys rather than one showcase homepage test.

4. Images Remain One of the Largest Performance Opportunities

Images continue to dominate important parts of the loading experience.

They frequently represent the Largest Contentful Paint element and remain one of the largest contributors to transferred page weight.

This gives organisations several practical optimisation opportunities:

  • Appropriate image dimensions.
  • Responsive image delivery.
  • Modern formats such as WebP and AVIF where appropriate.
  • Compression.
  • Correct loading priority.
  • Avoidance of unnecessary high-resolution assets.
  • Removal of decorative images that provide limited value.

The issue is particularly relevant to websites with large hero imagery, product photography, sector graphics, featured images or background media.

CGO Media interpretation: Image optimisation remains one of the clearest opportunities for improving performance without materially reducing the usefulness of a page.

5. JavaScript Is Becoming One of the Biggest Sources of Performance Risk

JavaScript is now effectively universal across the modern web.

Its performance cost is different from many other resources because browsers must do more than download it. JavaScript needs to be parsed, compiled and executed, often while other work is competing for the same main thread.

This matters disproportionately on mobile devices.

Large frameworks, plugins, trackers, widgets and tag-management systems can all increase the amount of work required before a page becomes fully responsive.

The research also shows substantial quantities of unused JavaScript being delivered to users.

CGO Media interpretation: The most effective JavaScript optimisation is often not making unnecessary code smaller — it is avoiding sending that code to the user in the first place.

6. Third-Party Technology Needs Performance Governance

Modern websites depend heavily on third-party services.

Analytics, advertising, consent tools, video platforms, live chat, social widgets, payment technology, personalisation systems and marketing automation can all provide legitimate business value.

But they can also create substantial network requests and additional JavaScript execution.

The performance cost of these tools can become difficult to control because the organisation does not fully own the code being delivered.

CGO Media interpretation: Every third-party script should have an identifiable business purpose that justifies its ongoing performance cost.

7. Faster Does Not Mean Stripping Functionality From the Website

Performance optimisation is sometimes presented as a choice between rich functionality and speed.

That is an oversimplification.

The stronger approach is to determine which resources and features genuinely contribute to customer value and then deliver those features efficiently.

Modern techniques such as lazy loading, prioritisation, caching, code splitting, prerendering, compression and responsive media can allow websites to retain useful functionality while reducing unnecessary work.

CGO Media interpretation: Performance optimisation should remove waste before it removes useful functionality.

8. The Commercial Value of Speed Depends on the Journey

The case studies analysed in this report show substantial commercial improvements following performance programmes, but the size of those improvements varies considerably.

This is expected.

A faster ecommerce product page, a responsive property-search interface and a quicker telecommunications checkout are different user experiences with different commercial dynamics.

The important principle is therefore not that every 100-millisecond improvement creates an identical financial return.

The stronger conclusion is that technical friction can influence user behaviour, and organisations should measure that relationship using their own data.

CGO Media interpretation: The commercial value of performance should be calculated from the organisation’s own customer journey rather than borrowed from generic industry benchmarks.

9. Website Speed Is Not an SEO Shortcut

Performance matters to search experience, but it should not be exaggerated into a claim that faster websites automatically outrank slower competitors.

Google uses Core Web Vitals within its wider systems associated with page experience, but performance exists alongside relevance, usefulness, authority and many other factors.

A page with excellent performance but weak content will not become a strong search result purely because it loads quickly.

Equally, a highly relevant and authoritative page can still provide a poor user experience when performance is neglected.

CGO Media interpretation: Website performance should support SEO by strengthening the overall user experience rather than being treated as a substitute for relevance, content quality or authority.

10. Performance Needs Continuous Management

A website can be fast when launched and become progressively slower over time.

New plugins, advertising scripts, tracking systems, images, videos, campaigns, page-builder elements and functionality can gradually increase weight and complexity.

This makes performance an operational issue rather than a one-time technical project.

Regular monitoring can identify regressions before they become embedded across large parts of the website.

CGO Media interpretation: Performance should be governed through budgets, monitoring and release processes rather than repaired only after users begin experiencing serious problems.

The CGO Media Website Performance Model

The 50 statistics suggest that strong website performance depends on several connected layers rather than one headline speed score.

Efficient Infrastructure
↓
Controlled Page Weight
↓
Optimised Images & Media
↓
Efficient JavaScript
↓
Responsive Interaction
↓
Stable User Experience
↓
Smooth Customer Journey
↓
Commercial Performance Opportunity

The strongest website-performance programmes therefore combine technical measurement with user and commercial evidence.

The objective is not to make every page achieve a perfect laboratory score. It is to identify the performance problems that materially affect real users, fix the underlying causes and prevent those problems from returning as the website evolves.

What UK Businesses Should Do in 2026

The evidence in this report shows that website performance should be managed as an ongoing business discipline rather than a one-off technical project.

For UK organisations, the objective should not be to chase perfect laboratory scores. It should be to identify the pages and journeys that matter most to users, remove unnecessary performance friction and create a process that prevents performance from deteriorating as the website evolves.

The priority for 2026 should be consistent real-user performance across important page templates and customer journeys — not simply producing one impressive PageSpeed score.

1. Measure Real Users, Not Just Laboratory Tests

Laboratory tools such as Lighthouse and PageSpeed Insights are useful for diagnosis, but they do not replace real-user data.

Businesses should monitor how actual visitors experience the site across different devices, connection speeds and page types.

Priority metrics should include:

  • Largest Contentful Paint.
  • Interaction to Next Paint.
  • Cumulative Layout Shift.
  • Time to First Byte.
  • First Contentful Paint.
  • Conversion rate.
  • Exit rate.
  • Lead-generation completion.
  • Ecommerce journey progression.

Recommended action: Use CrUX or another real-user monitoring system alongside laboratory testing so technical scores can be compared with actual customer behaviour.

2. Prioritise Mobile Performance First

Mobile remains the weaker environment across several important performance measures.

This means optimisation should be tested on realistic mobile devices rather than powerful desktop hardware alone.

Areas to review include:

  • Mobile LCP.
  • Main-thread blocking.
  • JavaScript execution.
  • Image dimensions.
  • Font loading.
  • Third-party scripts.
  • Menu and form responsiveness.
  • Product filters and interactive components.

Recommended action: Test commercially important pages using mid-range mobile hardware and throttled network conditions rather than relying solely on office broadband and high-end devices.

3. Optimise Images as Part of the Publishing Workflow

Images remain one of the largest contributors to page weight and frequently determine Largest Contentful Paint.

Image optimisation should therefore be built into the publishing process rather than performed manually after pages become slow.

Businesses should consider:

  • WebP or AVIF where appropriate.
  • Correct image dimensions.
  • Responsive image delivery.
  • Compression.
  • Lazy loading below the fold.
  • Prioritisation of LCP images.
  • Avoidance of unnecessarily large featured images.
  • Removal of duplicate image variants from the same viewport.

Recommended action: Create a standard image specification covering format, dimensions, compression and responsive behaviour before assets are uploaded to the CMS.

4. Control JavaScript Aggressively

JavaScript is now present on almost every modern website, but it remains one of the most expensive resources from a performance perspective.

Businesses should identify which scripts are genuinely required and which are being loaded by default because of old plugins, abandoned experiments or global theme settings.

Common areas to investigate include:

  • Page-builder scripts.
  • Unused plugins.
  • Tag-manager containers.
  • Live chat.
  • Social widgets.
  • Advertising technology.
  • Analytics duplication.
  • Animation libraries.
  • Third-party forms.

Recommended action: Audit JavaScript by business value. Remove, defer or conditionally load scripts that do not need to execute on every page.

5. Introduce Performance Budgets

Without explicit limits, websites often become progressively heavier over time.

A performance budget establishes acceptable thresholds for metrics such as:

  • Total page weight.
  • Image payload.
  • JavaScript payload.
  • Number of third-party requests.
  • LCP.
  • INP.
  • CLS.
  • Server response time.

These budgets can be applied to new templates, redesigns, campaigns and major development releases.

Recommended action: Define maximum resource and performance thresholds before development begins rather than attempting to optimise after launch.

6. Review Third-Party Technology Regularly

Third-party scripts can accumulate quickly because they are often added by multiple departments.

Marketing, analytics, advertising, compliance, sales and customer-service teams may all add their own technologies without visibility into the total performance cost.

This can result in duplicated or low-value scripts being loaded across the entire site.

Recommended action: Maintain a third-party technology register showing each script, its owner, its business purpose and whether it still needs to be loaded globally.

7. Optimise the Pages That Generate Revenue First

Not every page carries the same commercial importance.

Performance work should therefore prioritise areas such as:

  • Product pages.
  • Category pages.
  • Service pages.
  • Lead-generation pages.
  • Checkout.
  • Application forms.
  • Booking journeys.
  • Pricing pages.
  • High-traffic organic landing pages.

This allows technical investment to be connected directly with commercial outcomes.

Recommended action: Rank templates according to traffic, lead value and revenue influence, then optimise in that order.

8. Improve Hosting and Server Response Where Necessary

Front-end improvements cannot fully compensate for consistently slow server response.

Businesses should review:

  • Hosting capacity.
  • Server location.
  • Full-page caching.
  • Object caching.
  • Database performance.
  • CDN configuration.
  • Redirect chains.
  • Backend processing.
  • Compression.

The objective is to reduce the delay before the browser receives useful page data.

Recommended action: Investigate poor TTFB separately from front-end performance rather than assuming image or JavaScript optimisation will solve an infrastructure bottleneck.

9. Treat WordPress and Page Builders as Performance Systems

WordPress websites can perform extremely well, but themes, page builders and plugins introduce layers of functionality that need active management.

For Avada and similar systems, businesses should review:

  • Unused global elements.
  • Slider libraries.
  • Animation effects.
  • Large background images.
  • Duplicate desktop and mobile assets.
  • Unnecessary font variants.
  • Global scripts loaded on pages that do not use them.
  • Plugin overlap.
  • Cache configuration.

A flexible page builder can make publishing faster while simultaneously creating performance overhead if every available feature is enabled without discipline.

Recommended action: Build a standard performance configuration for WordPress and Avada rather than optimising every page independently.

10. Monitor Performance After Every Major Change

Performance regressions often occur gradually.

A new tracking script, larger hero image, redesigned form, additional font or plugin update can degrade performance without being immediately obvious.

Organisations should monitor performance after:

  • Major content uploads.
  • Website redesigns.
  • Plugin installations.
  • Campaign launches.
  • Analytics changes.
  • Theme updates.
  • New third-party integrations.
  • CMS upgrades.

Recommended action: Add performance checks to the normal publishing and release process rather than waiting for traffic, conversion or search performance to deteriorate.

A Practical Website Performance Priority Model for 2026

For organisations deciding where to begin, the process can be simplified into six stages:

1. Measure Real Users
↓
2. Identify Commercially Important Pages
↓
3. Diagnose the Performance Bottleneck
↓
4. Remove Unnecessary Resource Cost
↓
5. Improve Delivery & Interaction
↓
6. Monitor Against Business Outcomes

The strongest performance strategy is therefore not simply:

“Make the website faster.”

It is:

“Remove the performance problems that create the greatest friction for real users and the business.”

That approach connects technical optimisation with customer experience, SEO, conversion and long-term website governance.

Website Performance Trends UK 2026–2027

The evidence reviewed throughout this report suggests that website performance is moving away from isolated speed optimisation and towards broader performance governance.

Pages continue to become heavier, JavaScript remains almost universal, third-party requests continue to grow and mobile devices still face significantly greater processing constraints than desktop environments.

At the same time, browser capabilities, modern image formats, speculative navigation, caching, compression and real-user monitoring provide organisations with more tools than ever to improve performance without necessarily sacrificing functionality.

The following trends are therefore presented as evidence-led directions rather than guaranteed predictions.

The next phase of website performance is increasingly likely to be defined by disciplined resource management, real-user monitoring and faster journeys rather than occasional attempts to improve a single PageSpeed score.

Trend 1 — Real-User Performance Becomes More Important Than Isolated Lab Scores

Laboratory tests remain useful because they provide controlled diagnostics, but real users experience websites across different hardware, networks, browsers and journey stages.

This makes field data increasingly important for organisations trying to determine whether technical changes are improving actual experiences.

Real-user monitoring can reveal whether performance problems affect particular devices, geographies, templates or customer journeys in ways that a single laboratory test may not expose.

2026–2027 direction: Performance reporting increasingly combines laboratory diagnostics with CrUX, RUM and commercial analytics.

Trend 2 — Performance Budgets Become Part of Website Governance

HTTP Archive continues to record growth in page weight and request volume.

This creates a predictable operational problem: websites can become progressively slower as teams add images, plugins, analytics, personalisation, advertising and interactive functionality.

Performance budgets provide a way to manage that growth by establishing acceptable limits before new functionality is released.

Possible budgets can cover:

  • Total transferred bytes.
  • JavaScript payload.
  • Image weight.
  • Third-party requests.
  • LCP.
  • INP.
  • CLS.

2026–2027 direction: Performance increasingly becomes a release criterion rather than a repair project conducted after a website becomes slow.

Trend 3 — JavaScript Restraint Becomes More Important

JavaScript now appears on almost every modern website and remains one of the most significant sources of runtime performance cost.

The issue is not simply file size. Scripts need to be downloaded, parsed, compiled and executed, creating additional CPU and main-thread work.

HTTP Archive also continues to identify substantial quantities of unused JavaScript across ordinary pages.

This is likely to increase pressure on development teams to use selective loading, code splitting and simpler architectures where possible.

2026–2027 direction: Stronger performance programmes increasingly ask whether JavaScript needs to be delivered at all before asking how to make it smaller.

Trend 4 — Third-Party Scripts Receive Greater Scrutiny

More than 90% of pages in HTTP Archive’s third-party research use at least one third-party service.

Advertising, analytics, tag management, consent platforms, social functionality, video and marketing technologies can all introduce additional requests and processing costs.

The number of third-party requests has continued to increase even while the number of unique third-party domains has declined.

This suggests that fewer providers can still create substantial performance overhead through larger numbers of individual requests.

2026–2027 direction: Third-party technology increasingly needs an owner, measurable business purpose and ongoing performance justification.

Trend 5 — Image Optimisation Becomes More Automated

Images remain one of the largest contributors to transferred page weight and are frequently the Largest Contentful Paint element.

Yet legacy formats continue to dominate many important visual resources.

The gradual increase in WebP adoption demonstrates the direction of travel, while modern content-delivery systems increasingly automate resizing, compression and format selection according to browser and viewport.

This makes manual image optimisation less sustainable for large websites.

2026–2027 direction: Image optimisation increasingly becomes a publishing-system capability rather than an individual editor task.

Trend 6 — Speculative Navigation and Browser Caching Become More Valuable

Traditional performance optimisation often concentrates on initial page load.

Recent case studies demonstrate growing attention to what happens after the user begins navigating through the website.

Ray-Ban used the Speculation Rules API to prerender likely future product pages, improving LCP and conversion performance. Monrif subsequently reported LCP improvements of up to 17.9% and engagement increases of up to 8.9% after introducing prerendering and back/forward cache improvements.

These techniques can create near-instant transitions where likely future navigations can be predicted safely.

2026–2027 direction: Performance optimisation increasingly considers navigation speed between pages rather than focusing only on first-page load.

Trend 7 — CMS and Page-Builder Performance Becomes a Strategic Issue

Content management systems allow organisations to publish quickly, but additional themes, page builders, components, plugins and integrations can increase page weight and JavaScript execution.

HTTP Archive’s 2025 CMS research shows substantial differences in resource weight between major platforms, with JavaScript remaining one of the largest drivers of variation.

This does not mean that a particular CMS automatically produces a slow website. Implementation decisions remain critical.

However, organisations using flexible systems such as WordPress increasingly need standard performance rules for templates, plugins, images and global components.

2026–2027 direction: CMS governance increasingly includes performance standards alongside design, content and security standards.

Trend 8 — Performance and Accessibility Become More Closely Connected

Heavy pages disproportionately affect users on slower connections and less powerful devices.

HTTP Archive explicitly highlights the relationship between increasing page weight and the digital divide.

A site that performs well on a current flagship phone over fast Wi-Fi may deliver a substantially weaker experience to users relying on older devices or constrained mobile networks.

Performance therefore has an inclusion dimension as well as a conversion and SEO dimension.

2026–2027 direction: Performance programmes increasingly test whether experiences remain usable under less favourable hardware and network conditions.

Trend 9 — AI-Assisted Performance Diagnostics Expand

Website performance produces large volumes of technical data across waterfalls, Core Web Vitals, JavaScript execution, request chains and real-user monitoring.

AI-assisted development tools can increasingly help teams interpret that information, identify probable bottlenecks and suggest areas for investigation.

However, automated recommendations still need human validation because the correct optimisation depends on the website’s architecture, business objectives and user journey.

A tool may correctly identify a large script while lacking the commercial context required to know whether that functionality is essential.

2026–2027 direction: AI increasingly assists diagnosis and prioritisation, while engineering judgement remains necessary to determine which optimisations should actually be implemented.

Trend 10 — Performance Remains Part of SEO, But Not an SEO Shortcut

The relationship between website performance and search visibility is likely to remain frequently misunderstood.

Google continues to use Core Web Vitals within its wider systems associated with page experience, but it explicitly states that good Core Web Vitals alone do not guarantee high rankings.

The practical effect is that performance remains important without replacing relevance, usefulness, authority or content quality.

This is likely to push technical SEO teams towards a more balanced model in which performance is treated as one component of overall search quality rather than an isolated ranking tactic.

2026–2027 direction: Website performance increasingly supports SEO through stronger page experience and technical quality rather than being presented as a standalone route to rankings.

The Direction of Website Performance

The evidence suggests a wider transition from occasional optimisation towards continuous performance management:

Speed Testing
↓
Real-User Measurement
↓
Resource Governance
↓
Journey Optimisation
↓
Performance Budgets
↓
Continuous Monitoring
↓
Sustainable Website Performance

The future performance challenge is therefore not simply how to make increasingly complex websites faster.

It is how to prevent unnecessary complexity from being added in the first place while preserving the functionality, design and commercial capabilities users genuinely need.

Research Methodology & Limitations

This report was developed by the CGO Media Research Team to provide a structured overview of current website speed, Core Web Vitals, mobile performance, page-weight and conversion evidence relevant to UK organisations in 2026.

The objective was not simply to assemble a large collection of frequently quoted website-speed claims. Priority was given to statistics with identifiable sources, documented methodologies and sufficient context to understand what the figures actually represent.

Where robust UK-only website-performance datasets were unavailable, this report uses large-scale international web-performance research and documented commercial case studies as benchmarks relevant to UK businesses. These figures should not automatically be interpreted as measurements of the entire UK population.

Research Scope

The report focuses on five connected areas of website performance:

  • Website speed and user behaviour.
  • Core Web Vitals and technical performance.
  • Mobile performance.
  • Conversion, ecommerce and revenue impact.
  • Page weight, SEO and modern web delivery.

The statistics were selected to help explain not only how fast modern websites are, but also why performance varies and how technical improvements can influence user and commercial outcomes.


Primary Data Sources

CGO Media prioritised primary and large-scale research sources wherever possible.

Principal sources used within the report include:

  • HTTP Archive.
  • The Web Almanac.
  • Chrome UX Report data.
  • Google web.dev case studies.
  • Deloitte performance research.
  • Portent conversion research.
  • Google Search documentation.

Where statistics originated from individual company case studies, those findings are presented as evidence from a specific environment rather than universal benchmarks.

Source principle: Preference was given to original datasets, documented experiments and primary case studies rather than unsourced statistics roundups.

Field Data and Laboratory Data

Website-performance research frequently uses two different forms of measurement: field data and laboratory data.

Field data reflects the experiences of real users across different devices, networks and environments. Examples include Chrome UX Report measurements of Core Web Vitals.

Laboratory data measures performance under controlled test conditions. These tests can help diagnose technical causes but may not represent every real-world user experience.

Both forms of evidence are useful, but they answer different questions.

Interpretation rule: Laboratory scores should not be presented as though they represent the exact experience of every website visitor, while field data should not be expected to explain every technical cause behind a performance problem.

Core Web Vitals Measurement

Core Web Vitals are assessed using the performance thresholds defined by Google for loading, responsiveness and visual stability.

The report therefore distinguishes between:

  • Largest Contentful Paint.
  • Interaction to Next Paint.
  • Cumulative Layout Shift.
  • Supporting metrics such as First Contentful Paint and Time to First Byte.

The overall Core Web Vitals pass rate requires all three Core Web Vitals to meet their recommended thresholds at the required percentile.

A website can therefore perform strongly on one metric while still failing the overall assessment because of weakness elsewhere.


Page Weight and Resource Analysis

Page-weight statistics refer to the amount of transferred data associated with websites or particular resource categories.

Transferred bytes are not identical to the uncompressed size of resources after they reach the browser.

JavaScript, HTML, CSS and other text resources may be compressed during transfer but create greater processing costs after decompression and execution.

For this reason, page weight should not be treated as a complete measurement of performance by itself.

Interpretation rule: Two pages with identical transferred weight can perform very differently depending on resource type, loading priority, caching, execution cost and delivery architecture.

Commercial Case Studies

Several statistics in this report come from individual performance programmes conducted by organisations such as ecommerce, telecommunications and property businesses.

These case studies are valuable because they connect technical changes with real commercial metrics such as:

  • Conversion rate.
  • Revenue per visitor.
  • Order value.
  • Exit rate.
  • Customer complaints.
  • Engagement.

However, case-study outcomes should not be generalised automatically to other businesses.

Results can vary according to traffic quality, product demand, brand strength, seasonality, pricing, website architecture and the specific performance bottleneck being addressed.

Commercial evidence principle: Case studies demonstrate what happened within the measured environment; they do not guarantee identical outcomes elsewhere.

Historical Statistics

Some widely cited website-speed statistics originate from earlier research.

These figures remain useful where they illustrate important behavioural relationships, but the publication and measurement dates must be retained.

For example, historical mobile abandonment research should not be presented as if it were a newly measured UK statistic from 2026.

CGO Media therefore distinguishes between:

  • Current web-performance benchmarks.
  • Recent commercial case studies.
  • Historical behavioural evidence.

Freshness principle: Older statistics may remain relevant, but their age and original research context should remain visible.

UK-Specific and International Evidence

The report is written for UK organisations, but not every source is UK-specific.

Large-scale technical datasets such as HTTP Archive describe the wider web rather than UK websites alone.

Similarly, individual company case studies may originate from organisations operating in other markets.

These sources remain valuable for identifying performance patterns, but they should not be used to claim that an identical percentage applies specifically to all UK websites or consumers.


Correlation and Causation

Website performance and commercial results can move together without performance being the sole cause of the change.

Marketing campaigns, pricing, product availability, redesigns, seasonality and changes in traffic composition can all affect conversion during the same period.

For that reason, this report avoids treating every association between faster performance and improved revenue as proof of direct causation.

Controlled experiments and comparison groups provide stronger evidence than simple before-and-after observations, but even controlled studies need to be interpreted within their own methodology.

Interpretation rule: Associations between performance and business outcomes should be described accurately rather than converted into universal speed-to-revenue formulas.

Website Speed and SEO

Search performance requires particularly careful interpretation.

Core Web Vitals form part of Google’s broader systems associated with page experience, but Google does not describe website speed as a standalone shortcut to higher rankings.

Pages still need to provide relevant, useful and authoritative information.

For that reason, this report separates the user-experience and commercial value of performance from exaggerated claims that achieving a particular speed score automatically produces ranking gains.


AI Search and Website Performance

AI search systems introduce new forms of digital discovery, but current public evidence does not justify claiming that faster websites receive direct AI-ranking benefits simply because they are faster.

Technical accessibility, crawlability, content structure and reliable delivery remain important elements of a well-maintained website, but these concepts should not be converted into unsupported AI-search ranking claims.

AI research principle: Website performance should be discussed as part of technical quality and user experience unless platform-specific evidence establishes a stronger relationship with AI source selection.

Research Limitations

No single statistics report can represent every website, industry, user or technical environment.

The principal limitations of this research include:

  • Not all evidence is UK-specific.
  • Some commercial statistics come from individual company case studies.
  • Historical behavioural studies may not reflect current user behaviour exactly.
  • Performance varies significantly between devices and network conditions.
  • Laboratory testing does not reproduce every real-world environment.
  • Commercial outcomes are influenced by factors beyond website speed.
  • Core Web Vitals and browser technologies can evolve.
  • Large-scale datasets represent aggregated patterns rather than every individual website.
  • Page weight does not by itself explain perceived speed.
  • New research may supersede individual findings after publication.

These limitations define how the evidence should be interpreted rather than removing its value.


CGO Media Website Performance Research Standard

CGO Media applies five principles when interpreting website-performance evidence:

Source Transparency
↓
Measurement Context
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Field + Lab Evidence
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Commercial Context
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Responsible Interpretation

A website-speed statistic is only useful when the reader understands what was measured, when it was measured, which users or websites were involved and what the number can reasonably demonstrate.

CGO Media therefore separates underlying evidence from its own analysis and encourages businesses, journalists and researchers to consult the original source when using individual statistics.

Frequently Asked Questions — Website Speed Statistics UK 2026

The questions below address some of the most common issues raised by the website-speed, Core Web Vitals and commercial-performance evidence reviewed in this report.

They are designed to help businesses, marketers, developers and researchers distinguish between genuine performance evidence and oversimplified claims about page speed.

Website performance should be evaluated through real-user experience, technical diagnostics and business outcomes rather than through one isolated score.

1. What is considered a fast website in 2026?

There is no single load-time number that defines every website as fast or slow.

A modern performance assessment should consider how quickly useful content appears, how responsive the page is when users interact with it and whether the layout remains stable.

Google’s current Core Web Vitals thresholds define a good experience as:

  • LCP: 2.5 seconds or less.
  • INP: 200 milliseconds or less.
  • CLS: 0.1 or less.

Short answer: A fast website is one that delivers useful content quickly, responds promptly to interaction and remains visually stable for real users.

2. Does website speed affect SEO rankings?

Website performance can contribute to Google’s wider page-experience systems, but speed is not a standalone shortcut to high rankings.

Google explicitly states that good Core Web Vitals do not guarantee top search positions.

Relevance, usefulness, authority and content quality remain fundamental.

Short answer: Website speed matters, but it supports SEO rather than replacing relevance and authority.

3. What are Core Web Vitals?

Core Web Vitals are Google’s current set of user-experience metrics focused on three areas:

  • Largest Contentful Paint — loading performance.
  • Interaction to Next Paint — interaction responsiveness.
  • Cumulative Layout Shift — visual stability.

They are based on how real users experience webpages rather than simply how quickly a controlled test can download resources.

Short answer: Core Web Vitals measure whether a page loads quickly, reacts quickly and stays visually stable.

4. Why does mobile performance usually lag behind desktop?

Mobile devices generally have less processing power and operate across more variable network conditions than desktop computers.

At the same time, many websites deliver similar quantities of JavaScript, imagery and third-party functionality to both environments.

This creates a larger performance burden on mobile hardware.

Short answer: Mobile users often receive desktop-level complexity on less powerful hardware and less predictable connections.

5. How much does page weight matter?

Page weight matters because larger resources take more data to transfer and may require more work for the browser to process.

However, page weight alone does not determine perceived speed.

A smaller page can still perform poorly if it contains render-blocking resources or inefficient JavaScript, while a heavier page may perform reasonably well if resources are prioritised, compressed and cached effectively.

Short answer: Lower page weight usually helps, but resource type and delivery strategy matter just as much.

6. What is the biggest cause of slow websites?

There is no universal single cause.

Common performance bottlenecks include:

  • Slow server response.
  • Oversized images.
  • Large JavaScript bundles.
  • Third-party scripts.
  • Render-blocking CSS.
  • Web fonts.
  • Video.
  • Too many network requests.
  • Heavy page-builder output.
  • Poor caching or CDN configuration.

The correct solution depends on which bottleneck is actually affecting the site.

Short answer: Diagnose before optimising. The largest performance problem differs from site to site.

7. Are images still important for website speed?

Yes.

Images remain one of the largest contributors to page weight and frequently determine Largest Contentful Paint.

Performance can often be improved through:

  • WebP or AVIF.
  • Correct dimensions.
  • Responsive images.
  • Compression.
  • Lazy loading.
  • Prioritisation of the LCP image.

Short answer: Images remain one of the clearest opportunities for improving load performance.

8. Why is JavaScript such a performance issue?

JavaScript creates more than a download cost.

The browser must also parse, compile and execute it, often on the main thread.

Large or unnecessary scripts can therefore delay interaction even after the page looks visually complete.

This effect is particularly important on mobile devices with weaker CPUs.

Short answer: JavaScript costs bandwidth and processing time, which is why unnecessary scripts can create disproportionate performance problems.

9. Can a faster website improve conversion rates?

Yes, performance improvements have been associated with better conversion, revenue and engagement in numerous case studies.

However, the size of the effect varies substantially between businesses and customer journeys.

A technical improvement does not guarantee the same commercial uplift on every website.

Short answer: Faster performance can reduce friction and improve conversion opportunity, but the commercial impact should be measured using the organisation’s own data.

10. Is a PageSpeed Insights score of 100 necessary?

No.

A perfect laboratory score is not required for strong SEO, strong conversions or good user experience.

The aim should be to identify meaningful performance problems and improve real-user outcomes rather than optimise solely for a headline number.

Short answer: A PageSpeed score is a diagnostic signal, not a business objective.

11. How often should website speed be checked?

Performance should be monitored continuously where possible and reviewed after major site changes.

Particular attention should be given after:

  • New plugin installations.
  • Theme changes.
  • Large content uploads.
  • Tracking changes.
  • Campaign launches.
  • Third-party integrations.
  • Design changes.
  • CMS updates.

Short answer: Website performance should be monitored as an ongoing operating metric, not checked once per year.

12. What should a business optimise first?

The first priority should be the bottlenecks affecting commercially important user journeys.

A useful sequence is:

  1. Measure real-user performance.
  2. Identify high-value landing and conversion pages.
  3. Find the dominant performance bottleneck.
  4. Reduce unnecessary resource cost.
  5. Improve server and delivery efficiency.
  6. Optimise images and JavaScript.
  7. Retest user and commercial outcomes.
  8. Introduce monitoring to prevent regression.

Short answer: Start with the performance problem causing the greatest friction on the pages that matter most to the business.

The Core Website Performance Question

The traditional question has often been:

“How fast is our website?”

The more useful question is:

“Where does performance create friction for our users and our business?”

That shift moves website performance away from score chasing and towards customer experience, conversion and sustainable technical quality.

Conclusion — Website Speed Statistics UK 2026

The evidence reviewed throughout this report shows that website performance remains a material part of digital experience in 2026.

The web has become more capable, but also more complex. Pages are heavier, JavaScript is almost universal, third-party systems are widespread and mobile users still face greater technical constraints than desktop users.

At the same time, browsers, hosting infrastructure, image formats, caching, compression and real-user monitoring have improved significantly.

The result is not a simple story of websites becoming either faster or slower. Performance increasingly depends on how effectively organisations manage complexity.

The defining website-performance challenge in 2026 is not simply how to make pages load faster. It is how to deliver increasingly sophisticated digital experiences without allowing unnecessary complexity to create friction for users.

Performance Is a User Experience Issue

Core Web Vitals have helped move the performance discussion away from one-dimensional load-time metrics.

Users experience performance through several different stages:

  • How quickly the first useful content appears.
  • How quickly the main content becomes visible.
  • How rapidly the page responds to interaction.
  • Whether the layout remains stable.
  • How quickly subsequent pages load.

A website can therefore be visually attractive and technically functional while still delivering a frustrating experience.


Mobile Performance Remains the Greater Challenge

The research consistently shows weaker mobile performance across several important measures.

This matters because mobile users frequently receive almost desktop-level resource complexity while operating on less powerful hardware and more variable networks.

Responsive design alone is therefore not enough.

Organisations need to consider whether mobile users are receiving appropriately sized images, efficient scripts, prioritised resources and interactions that remain responsive on realistic devices.


Page Complexity Is Increasing

The growth in page weight, JavaScript and third-party resources demonstrates why performance cannot be solved once and then ignored.

Websites naturally accumulate additional functionality over time.

Marketing tools, analytics systems, consent platforms, videos, design effects, plugins and tracking technologies can each appear relatively small when added individually while creating substantial aggregate cost.

The challenge is therefore increasingly one of governance rather than emergency repair.


Commercial Performance Should Be Measured Directly

The case studies reviewed in this report show meaningful improvements in conversion, engagement and revenue alongside website-performance programmes.

However, the size of those effects varies significantly.

No responsible analysis should therefore promise that reducing load time by a fixed amount will generate the same revenue improvement for every organisation.

Businesses should instead connect technical performance with their own conversion and journey data.

That can include:

  • Conversion rate.
  • Revenue per visitor.
  • Order value.
  • Lead completion.
  • Exit rate.
  • Cart engagement.
  • Customer complaints.

Speed Supports SEO, But Does Not Replace It

Website performance contributes to the broader quality of the search experience, but it should not be exaggerated into a standalone ranking strategy.

Good Core Web Vitals do not guarantee strong rankings.

A technically excellent page still needs relevant, useful and authoritative content.

The strongest interpretation is therefore that performance supports SEO by improving the overall experience available to users after discovery.


Performance Is Becoming an Operating Discipline

The wider conclusion from the research is that website performance increasingly needs to be managed continuously.

A modern performance programme includes:

  • Real-user monitoring.
  • Laboratory diagnostics.
  • Performance budgets.
  • Image standards.
  • JavaScript control.
  • Third-party governance.
  • Infrastructure review.
  • Commercial measurement.
  • Regression monitoring.

This changes the role of website speed from an occasional optimisation project into an ongoing part of website management.

CGO Media conclusion: The strongest website-performance programmes focus on removing real user friction, controlling unnecessary complexity and measuring the business effect of technical improvements.

Final Research Findings

Across the 50 statistics and supporting research reviewed for this report, ten findings stand out:

  1. Mobile remains the most difficult performance environment.
  2. More than half of mobile websites still fail overall Core Web Vitals.
  3. Images remain a major contributor to load performance and page weight.
  4. JavaScript creates both network and processing costs.
  5. Page weight continues to increase across the web.
  6. Third-party resources remain a significant source of complexity.
  7. Performance can influence conversion, revenue and customer engagement.
  8. Commercial outcomes vary substantially between organisations.
  9. Website speed supports SEO but does not replace relevance or authority.
  10. Performance increasingly requires continuous governance rather than one-off optimisation.
Efficient Infrastructure
+
Controlled Resource Weight
+
Responsive Interaction
+
Stable Rendering
+
Real-User Monitoring
=
Sustainable Website Performance

For UK businesses, the practical message is not to chase perfect scores.

It is to identify the performance problems that create the most friction for users, remove unnecessary resource cost and connect technical improvements with measurable business outcomes.

The websites best positioned for the next phase of digital competition will be those that combine rich functionality with disciplined delivery, responsive interaction and consistently strong real-world user experience.

Research Usage, Citation & Press

CGO Media publishes research, statistics, frameworks and technical analysis to support businesses, journalists, researchers and organisations examining the changing relationship between website performance, search visibility, digital experience and commercial outcomes.

The statistics and analysis within this report may be referenced in editorial coverage, research papers, presentations, technical documentation and industry commentary, provided appropriate attribution and research context are retained.

Recommended Citation

CGO Media Research Team (2026). Website Speed Statistics UK 2026: 50 Performance, Core Web Vitals & Conversion Statistics. CGO Media.

Available at:

Using Individual Statistics

Where an individual statistic originates from an external organisation, CGO Media recommends citing the original research as the primary source whenever possible.

CGO Media may be cited for the synthesis, interpretation and UK-focused analysis surrounding that statistic.

Preferred citation approach: Attribute the underlying statistic to the original research organisation and attribute the interpretation or broader analysis to CGO Media.

This helps preserve the distinction between source evidence and CGO Media’s own research commentary.


Using CGO Media Analysis

The analytical sections of this report — including the interpretation of the 50 statistics, implications for UK organisations, performance-priority model and 2026–2027 trends analysis — represent CGO Media Research Team analysis.

Journalists, publishers and researchers are welcome to quote or summarise these findings with attribution to:

CGO Media Research Team
Website Speed Statistics UK 2026

cgomedia.com/website-speed-statistics-uk-2026/

Press & Media Enquiries

Journalists, editors, broadcasters, researchers and technical publications requiring additional commentary, clarification or access to CGO Media research can use the dedicated Press & Media area.

Relevant enquiry topics include:

  • Website speed and Core Web Vitals.
  • Technical SEO.
  • Mobile performance.
  • Page weight and JavaScript.
  • Conversion and ecommerce performance.
  • Search visibility.
  • AI search and technical website quality.
  • Digital experience and performance governance.

Press & Media Resources

Access CGO Media research, media information and press resources.


Visit Press & Media Resources

Research Methodology

CGO Media publishes its wider research methodology separately to explain how evidence is selected, assessed and interpreted across the Research Library.

The methodology covers areas including source selection, primary and secondary evidence, international datasets, methodological limitations, AI-search evidence and responsible interpretation.


View the CGO Media Research Methodology


Research Updates

Website performance technologies, browser behaviour, Core Web Vitals and web-delivery practices continue to evolve.

CGO Media therefore reviews its technical research periodically as new datasets, browser capabilities and large-scale performance studies become available.

Readers should check publication and update information when citing individual figures, particularly where the underlying research involves fast-moving technologies or performance standards.

Research principle: Website-performance statistics should be treated as maintained research resources rather than static figures that remain unchanged indefinitely.

Editorial & Research Attribution

This report was prepared and reviewed by the CGO Media Research Team as part of CGO Media’s wider research programme covering search, technical SEO, AI search, GEO, digital authority and online discovery.

The report combines external evidence with CGO Media analysis to examine how modern website performance affects users, commercial journeys and technical search quality.

Research, Press & Citation

Transparent Sources
↓
Clear Methodology
↓
Responsible Interpretation
↓
Journalist & Research Access
↓
Citable Technical Research

CGO Media’s objective is to make its website-performance research useful not only as online content, but as a transparent and referenceable evidence resource for businesses, journalists, researchers and technical teams.

Sources & References

The Website Speed Statistics UK 2026 report draws on large-scale web-performance datasets, official Google documentation, documented company experiments and established commercial-performance research.

CGO Media has prioritised original research and primary sources wherever reasonably available. Readers, journalists and researchers are encouraged to consult the original publications when citing individual statistics.

Source statistics remain attributable to the organisations that produced the underlying research. CGO Media’s contribution is the selection, synthesis, contextualisation and analysis of that evidence for a UK business audience.

Primary Web Performance Research

1. HTTP Archive — The 2025 Web Almanac

HTTP Archive’s annual analysis of the state of the web. The 2025 edition analysed approximately 16.2 million websites and processed 244 TB of data, using the July 2025 HTTP Archive dataset unless otherwise specified.


https://almanac.httparchive.org/en/2025/

2. HTTP Archive — Web Almanac 2025: Performance

Primary source for statistics covering Core Web Vitals, LCP, INP, CLS, FCP, TTFB, Total Blocking Time, LCP elements, render-blocking resources and other performance measurements.


https://almanac.httparchive.org/en/2025/performance

3. HTTP Archive — Web Almanac 2025: Page Weight

Primary source for page-weight statistics covering transferred bytes, request volumes, JavaScript, images, video and the long-term growth of modern webpages.


https://almanac.httparchive.org/en/2025/page-weight

4. HTTP Archive — Web Almanac 2025: Third Parties

Used to examine the prevalence and growth of third-party requests, external technology and the performance implications of advertising, analytics, marketing and other externally delivered resources.


https://almanac.httparchive.org/en/2025/third-parties

5. HTTP Archive — Web Almanac 2025: CDN

Source for analysis of modern content-delivery technologies, compression adoption, image formats and related delivery infrastructure.


https://almanac.httparchive.org/en/2025/cdn


Google & Core Web Vitals Documentation

6. Google Search Central — Understanding Core Web Vitals and Google Search Results

Official Google documentation covering Largest Contentful Paint, Interaction to Next Paint and Cumulative Layout Shift, including recommended thresholds.


https://developers.google.com/search/docs/appearance/core-web-vitals

7. Google Search Central — Understanding Page Experience in Google Search Results

Official Google documentation used to distinguish Core Web Vitals and page experience from unsupported claims that website speed alone guarantees higher rankings.


https://developers.google.com/search/docs/appearance/page-experience


Recent Commercial Performance Case Studies

8. Nuvemshop — LCP and Ecommerce Conversion Case Study

Published by web.dev in June 2026. Nuvemshop reported a 68% improvement in LCP health, an increase in its Core Web Vitals pass rate from 48% to 72%, an 8.9% increase in session-to-paid-order conversion and an 8.4% increase in cart engagement among the analysed mobile organic-search cohort.


https://web.dev/case-studies/nuvemshop

9. Ray-Ban — Speculation Rules & Prerendering Case Study

Published by web.dev in January 2025. The study documents improvements in LCP, product-page conversion, exit rate and navigation performance after Ray-Ban introduced speculative prerendering.


https://web.dev/case-studies/rayban-speculation-rules

10. T-Mobile — Data-Driven Web Performance Case Study

web.dev case study documenting T-Mobile’s real-user performance programme, including improvements in Largest Contentful Paint, visit-to-order conversion and reported website performance issues.


https://web.dev/case-studies/t-mobile-case-study

11. QuintoAndar — Interaction to Next Paint Case Study

Published by web.dev in January 2025. QuintoAndar reported an 80% reduction in INP, growth in pages achieving good INP from 42% to 78%, and a 36% year-on-year increase in conversion volume during the wider performance programme.


https://web.dev/case-studies/quintoandar-inp

12. Rakuten 24 — Core Web Vitals & Revenue Case Study

web.dev case study reporting a 53.37% increase in revenue per visitor, 33.13% increase in conversion rate, 15.20% increase in average order value and 35.12% reduction in exit rate for the optimised experience.


https://web.dev/case-studies/rakuten

13. Swappie — Core Web Vitals & Mobile Revenue Case Study

web.dev case study documenting a three-month mobile-performance programme in which Swappie reported relative mobile conversion improvement from 24% to 34% and a 42% increase in mobile revenue.


https://web.dev/case-studies/swappie

14. Monrif — Speculation Rules & Back/Forward Cache Case Study

Published by web.dev in December 2025. Monrif reported LCP improvements of up to 17.9% and engagement-rate increases of up to 8.9% across analysed publishing properties during its prerendering programme.


https://web.dev/case-studies/monrif-cwv


Website Speed & Conversion Research

15. Portent — Site Speed Is (Still) Impacting Your Conversion Rate

Updated in April 2022. Portent analysed more than 100 million page views across 20 B2B and B2C websites, with page-speed measurements covering approximately 5.6 million sessions during the study period.

The research provides the report’s historical comparisons between one-second, five-second and ten-second page loads and associated conversion performance.

16. Deloitte Digital / Google — Milliseconds Make Millions

2020 research commissioned by Google and conducted by Deloitte Digital. The study examined more than 30 million mobile user sessions across 37 retail, travel, luxury and lead-generation brands in Europe and the United States.

The study provides historical evidence connecting improvements of 0.1 seconds in mobile site speed with changes in retail and travel conversion and customer-spending measures.


Deloitte Digital — Milliseconds Make Millions

17. Google — Historical Mobile Page-Speed Research

Google and DoubleClick research published during 2016–2017 reported that 53% of mobile site visits were abandoned when pages took longer than three seconds to load.

This statistic is retained in the report as a historical benchmark and is not presented as a newly measured UK consumer statistic for 2026.


https://blog.google/products/adsense/the-ultimate-mobile-page-speed-infographic/


How These Sources Were Used

The evidence in this report falls into three principal categories.

Large-Scale Web Data

HTTP Archive and Chrome UX Report evidence is used to describe broad technical patterns across millions of websites.

Documented Commercial Case Studies

web.dev case studies are used to show what occurred within individual website-performance programmes. These figures are not presented as guaranteed outcomes for other businesses.

Historical Behavioural & Conversion Research

Older Google, Deloitte and Portent research is retained where it provides useful context, but the research date is made clear so that historical evidence is not misrepresented as a new UK 2026 measurement.

Source Interpretation Policy

CGO Media does not treat all statistics as equivalent evidence.

When interpreting the figures in this report:

  • Primary sources are preferred over third-party statistics roundups.
  • Research dates are retained where material.
  • Global statistics are not automatically labelled as UK statistics.
  • Individual company case studies are not presented as universal benchmarks.
  • Correlation is distinguished from demonstrated causation.
  • Google documentation is used for claims about Google Search and Core Web Vitals.
  • CGO Media analysis is distinguished from the underlying source statistic.

Important: Statistics should be quoted with sufficient context to preserve their original meaning. A percentage taken from an individual case study should not be presented as though it describes all UK websites, businesses or consumers.

Research Transparency

Original Source
↓
Measurement Context
↓
Responsible Interpretation
↓
CGO Media Analysis
↓
Transparent Citation

This source architecture is intended to make the report auditable.

Researchers and journalists should be able to move from an individual statistic to the underlying evidence, understand the measurement context and distinguish the original finding from CGO Media’s interpretation.

For questions concerning methodology, source interpretation or use of this research, visit the CGO Media Research Methodology or Press & Media Resources.