BeforeContent teams uploading at camera resolution, CMS platforms without mandatory compression pipelines, and product image libraries maintained outside the CMS all contribute to image bloat on US enterprise sites. A single product page can carry 10MB or more of uncompressed imagery. Converting to WebP or AVIF and implementing responsive srcsets across a product catalog or content library is a systematic fix, not a page-by-page manual process, and the payload reduction is typically the largest single improvement in the audit.
AfterCore Web Vitals are a confirmed ranking signal in Google Search. For US enterprise sites competing in high-value categories, the difference between passing and failing Core Web Vitals can represent thousands of organic impressions per day. Fixing these metrics removes a confirmed technical ranking penalty and brings performance in line with what Google rewards.
BeforeEnterprise sites loading CMS scripts, framework libraries, A/B testing tools, and personalisation engines in the document head create compounding render-blocking delays. Each script must download and execute before the browser can paint any visible content. On a mobile device, this adds 2 to 6 seconds of blank screen time. The fix is not to remove these tools but to defer or asynchronously load scripts that do not need to execute before the first render.
AfterFor US enterprise and mid-market businesses spending significant budgets on Google Ads and Bing, landing page speed is a direct factor in Quality Score, cost-per-click, and conversion rate. A 20 to 30 percent improvement in landing page load time typically produces a measurable conversion rate improvement. At scale, the return on speed optimisation work can be calculated against ad spend directly.
BeforeA US enterprise marketing stack typically includes Google Analytics 4, Universal Analytics legacy tags, Google Ads conversion tracking, Floodlight tags, Facebook Pixel, LinkedIn Insight Tag, Twitter Pixel, HubSpot tracking, Marketo Munchkin, Hotjar or FullStory, Intercom or Drift, Optimizely or VWO, and a collection of partner and affiliate tracking scripts. Many of these exist in both hardcoded form and inside Google Tag Manager, creating duplicates. A Google Tag Manager audit on enterprise US sites routinely finds 30 to 50 percent of tags are inactive, duplicated, or firing incorrectly. Removing them is not a marketing risk. It is a technical hygiene task with a direct performance return.
AfterA clean, audited GTM container with accurate firing rules reduces page load overhead on every page visit, every day. It also reduces the risk of future performance regression from new tags being added without removing old ones, which is the most common cause of gradual performance decay on enterprise sites.
BeforeUS e-commerce and media sites carry the highest CLS risk because of programmatic advertising units that resize after initial render, infinite scroll implementations that inject content into the layout, and rich media carousels that load asynchronously. Every layout shift registers with Google. High-traffic pages with CLS scores above 0.1 are accumulating a ranking penalty on every crawl cycle.
AfterAfter optimisation, your site passes Google's LCP, CLS, and INP thresholds in CrUX field data for real US users on real devices, including the full impact of every active third-party script. This is the measure that affects rankings, and it is the measure that distinguishes work that was done from work that was merely proposed.
