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Glossary Web Analytics

Page Speed Optimisation

The process of improving how quickly a website loads by reducing file sizes, optimizing code, and enhancing server performance to improve user experience and se

Also known as: site speed optimization website speed optimization page load speed web performance optimization Core Web Vitals LCP FID CLS

What is Page Speed Optimisation?

Page Speed Optimisation refers to the techniques and strategies used to reduce the time it takes for a webpage to fully load and become interactive. It encompasses everything from compressing images and minifying code to leveraging browser caching and content delivery networks (CDNs). The goal is to deliver content to users as quickly as possible.

Why It Matters

Page speed directly impacts user experience and business outcomes. Research consistently shows that slower pages lead to higher bounce rates, lower conversion rates, and reduced engagement. Google has made page speed a confirmed ranking factor, meaning faster sites are more likely to rank higher in search results – a critical consideration for UK agencies managing organic visibility for clients.

For media buyers and marketers, page speed affects ad performance too. Slow-loading pages can increase ad latency, impact viewability rates, and frustrate users clicking through from paid campaigns. In competitive digital markets, every millisecond counts.

Key Metrics

Google's Core Web Vitals have become the industry standard for measuring page speed:

  • Largest Contentful Paint (LCP): How quickly the main content loads (target: under 2.5 seconds)
  • First Input Delay (FID): How responsive the page is to user interaction (target: under 100ms)
  • Cumulative Layout Shift (CLS): Visual stability as elements load (target: under 0.1)

Optimisation Techniques

Common approaches include:

  • Image optimisation: Compressing and serving appropriately-sized images
  • Code minification: Removing unnecessary characters from CSS and JavaScript
  • Browser caching: Storing static assets locally to reduce repeat load times
  • CDN implementation: Distributing content across geographically-dispersed servers
  • Server-side rendering: Pre-loading content to reduce processing time
  • Lazy loading: Deferring the loading of off-screen content

When to Optimise

Page speed optimisation should be ongoing, but prioritise when:

  • Launching new campaigns or landing pages
  • Redesigning websites
  • Noticing high bounce rates or low conversion rates
  • Preparing for peak traffic periods (Black Friday, major promotional events)
  • Competing in industries with speed-sensitive audiences (e-commerce, news, financial services)

Best Practice for Agencies

UK media agencies should make page speed audits routine, particularly when evaluating client websites for paid campaign landing pages. Tools like Google PageSpeed Insights, GTmetrix, and Lighthouse provide free diagnostics. Coordinate with development teams early to address bottlenecks before campaigns go live.

Frequently Asked Questions

How does page speed affect my Google Ads performance?
Slow landing pages increase bounce rates and reduce conversion rates, raising your cost-per-acquisition. Google also considers page speed when calculating Quality Score, which directly impacts your ad costs and placement. A faster page improves ROI on paid campaigns.
What's a good page load time target?
Google recommends pages load in under 3 seconds, though 2.5 seconds or faster is ideal. Mobile pages should load even faster due to slower network conditions. Use tools like PageSpeed Insights to benchmark against your competitors.
Do I need a developer to optimise page speed?
Basic optimisations (image compression, caching, CDN setup) can be handled by marketers or digital specialists, but significant improvements often require developer involvement for code-level changes.
How often should I test page speed?
Test monthly as a minimum, and always before launching major campaigns. After implementing optimisations, retest to confirm improvements and monitor for regressions over time.

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