SPEED & CORE WEB VITALS

Fix the page speed issues that are costing you Google rankings and losing visitors before the page loads

Enterprise and mid-market US websites carry the highest third-party script loads of any market: analytics platforms, ad pixels, chat tools, heatmaps, A/B testing scripts, and tag containers that have never been audited. The result is slow Core Web Vitals, poor PageSpeed scores, and ranking penalties from Google's confirmed technical signals. We audit the full stack, identify every source of slowness, and fix what is causing it.

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Core Web Vitals are a confirmed Google ranking signal · A 1-second delay in load time reduces conversions by 7% · Enterprise US sites average 50 to 80 third-party requests per page load · Google Tag Manager audits routinely find 30 to 50 percent of tags are inactive or duplicated
This is for you if

This service is for US businesses and enterprise sites where page performance is being degraded by accumulated technical debt, script overhead, and the complexity of multi-tool marketing stacks.

Your PageSpeed score is poor and you have internal teams or external agencies that have not resolved it. Enterprise sites often accumulate performance debt across multiple CMS migrations, redesigns, and platform integrations. The result is a site that carries the weight of every past tool, every past campaign script, and every past image upload. The score below 50 is a symptom of accumulated decisions, not a single problem, and it requires a systematic audit to untangle.

US enterprise and mid-market companies spend significant budgets on Google Ads, Bing Ads, and programmatic display. When ad traffic lands on pages with 6-second load times, Quality Scores suffer, cost-per-click rises, and conversion rates fall. For a business spending $50,000 to $500,000 per month on paid search, a 20 percent improvement in landing page conversion rate from speed optimisation represents a return that significantly exceeds the cost of the work.

Lighthouse and internal synthetic monitoring often run from ideal network conditions and exclude the impact of third-party scripts loading from external servers. CrUX field data captures real US users on real devices, including the full impact of every analytics tag, ad pixel, and chat widget firing on page load. Enterprise sites that have invested in synthetic monitoring infrastructure often find that their field data tells a very different story: users are experiencing significantly slower pages than the tests show.

What's broken

These are the four most common performance problems on US enterprise and mid-market websites. The scale is often larger than on smaller sites, but the categories are the same.

5MB images served at original size

Content 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.

Render-blocking JavaScript in the head

Enterprise 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.

Fifty or more third-party scripts loading on every page

A 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.

CLS from images without dimensions and dynamically loaded ads

US 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.

What we engineer

The service covers a full performance audit, root cause diagnosis across the entire technology stack, implementation, and ongoing monitoring.

PageSpeed Insights and Lighthouse audit

We audit your key pages using PageSpeed Insights and Lighthouse across mobile and desktop. For US enterprise sites, this typically includes the homepage, top 10 pages by organic traffic, top 5 pages by paid traffic, and key conversion pages. We document every opportunity and diagnostic with estimated impact.

Core Web Vitals field data analysis (CrUX)

We extract CrUX field data segmented where possible by device type and connection class to understand which segments of your US audience are experiencing the worst performance. For enterprise sites with geographic diversity, this gives a clearer picture than a single aggregate score.

LCP root cause diagnosis

We trace your Largest Contentful Paint element through the full load waterfall: server response time, render-blocking resources, image download time, and preload configuration. For enterprise sites, LCP is often delayed by personalisation engines or A/B testing scripts that must resolve before content renders.

CLS and INP root cause diagnosis

We identify every layout shift source in your page load sequence and diagnose Interaction to Next Paint delays, with specific attention to third-party script interference with the main thread. On enterprise US sites, INP failures are commonly caused by analytics and chat scripts competing for main thread time during interaction events.

Image compression and format optimisation

We compress and convert images to WebP or AVIF at scale, implement responsive srcsets, and set explicit image dimensions. For enterprise sites with large image libraries, we specify the systematic approach and tooling required to maintain optimised images going forward, not just fix existing images.

Google Tag Manager audit, CDN, caching, lazy loading, and JavaScript fixes

We audit every tag in Google Tag Manager for active status, duplication, and firing rules. We remove or disable inactive tags, consolidate duplicates, and reconfigure firing rules to reduce script load on pages where tags are firing unnecessarily. We configure or optimise CDN setup for US traffic distribution, set caching headers, implement lazy loading, and defer render-blocking scripts.

Before and after scores with CrUX monitoring setup

We document PageSpeed and Core Web Vitals scores before and after implementation and configure Core Web Vitals monitoring in Google Search Console. For enterprise sites with existing RUM (Real User Monitoring) infrastructure, we specify how Core Web Vitals data should be incorporated into existing dashboards.

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What changes

These are the direct, measurable outcomes of fixing Core Web Vitals and reducing page load time for US audiences.

Before
After
Before Content 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.
After Core 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.
Before Enterprise 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.
After For 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.
Before A 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.
After A 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.
Before US 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.
After After 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.
How it works

Process

  1. 01

    Audit and field data pull

    Days 1 to 2

    We run PageSpeed Insights and Lighthouse on your key pages, extract CrUX field data from Google Search Console, and conduct a full Google Tag Manager audit listing every tag, its firing status, and duplication. You receive the complete audit before any implementation work begins.

  2. 02

    Issue prioritisation and fix plan

    Day 3

    We rank every issue by its expected impact on LCP, CLS, and INP scores and by implementation complexity. For enterprise sites, we differentiate between fixes that can be applied immediately and those that require coordination with engineering teams or CMS platform access. The fix plan is specific and ordered by priority.

  3. 03

    Implementation

    Days 4 to 14

    We apply fixes directly or deliver implementation-ready specifications. This phase includes the Google Tag Manager audit and cleanup, image compression and format conversion, script deferral, CDN optimisation for US traffic, caching header configuration, lazy loading, and font loading strategy. For enterprise sites, we coordinate with internal development teams where direct access is not available.

  4. 04

    Verification and monitoring setup

    Days 15 to 21

    We re-run PageSpeed Insights and Lighthouse, produce the before-and-after score documentation, and configure Core Web Vitals monitoring in Google Search Console. For enterprise clients with existing monitoring infrastructure, we specify Core Web Vitals integration points for existing dashboards. CrUX field data will reflect changes within 28 to 56 days.

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Common questions

FAQ

Does improving Core Web Vitals actually move rankings for competitive US keywords?

Core Web Vitals are a confirmed Google ranking factor applied to all Google Search results globally, including in the US. Google has confirmed that pages passing Core Web Vitals receive a ranking benefit over pages that fail, as a tiebreaker signal when other ranking factors are close. For US enterprise sites in competitive categories, this signal is relevant because many competing pages are also well-optimised for content and links, and technical performance becomes a differentiating factor.

We have a large Google Tag Manager container with 60 or more tags. Where do we start?

The GTM audit starts with a tag inventory: every tag is classified as active or inactive, checked for duplication across hardcoded and tag-managed versions, and reviewed against its firing rules for scope accuracy. In our experience with US enterprise GTM containers, 30 to 50 percent of tags are inactive, duplicated, or firing on pages where they serve no purpose. Removing or disabling those tags reduces page script load without affecting any active tracking or marketing functions.

How do we prevent performance from degrading again after optimisation?

Performance regression on enterprise sites is typically caused by new third-party tools being added without removing old ones, new image uploads without compression, and new scripts deployed outside of GTM governance. The practical prevention is a performance budget documented in your GTM governance policy, an image upload compression requirement in your CMS workflow, and a periodic audit cadence, quarterly or biannually, to check Core Web Vitals field data and GTM tag inventory.

We already have a CDN. Why are our PageSpeed scores still poor?

CDN configuration is not binary. Common enterprise CDN issues include caching rules that exclude dynamic content unnecessarily, cache-control headers that are too short or missing on static assets, no image compression or format conversion at the CDN layer, and CDN configuration that was set up during an earlier platform version and not updated during subsequent migrations. A CDN audit checks whether your current configuration is serving assets from cache as frequently as it should and whether compression and modern format support are enabled.

Can you work alongside our internal engineering team?

Yes. For US enterprise clients, the standard model is to deliver the audit report and fix specifications to the internal engineering team, support implementation with technical guidance, and verify results after deployment. Alternatively, we apply fixes directly where access is provided. The approach is determined by your team's capacity and the complexity of the required changes. Either way, the output is a before-and-after score report and a configured monitoring setup in Google Search Console.

Our team

The people behind the work

Not a black box. Real specialists you can call, with their names on the work.

Niraj Raut

Niraj Raut

Founder — Ecommerce SEO
Keshab Joshi

Keshab Joshi

PPC Expert
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert
Arogya Rijal

Arogya Rijal

SaaS SEO Expert
About Us →
Start here

Your site's performance problems are specific, documented, and fixable

Enterprise and mid-market US websites are slow for specific, traceable reasons: accumulated third-party scripts that no one has audited, images that were never compressed, and GTM containers that have grown without governance. We audit the full stack, show you exactly what is causing your Core Web Vitals to fail, and fix it so your pages pass Google's thresholds and load fast for real US users. The before-and-after scores are documented. The field data improvement follows within 28 to 56 days.

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Ignited Nepal is a Growth Engineering Company working with US enterprise and mid-market businesses that need technical site performance to support competitive search rankings and high-volume paid acquisition programs.