The #1 Website Performance Audit Agency
Comprehensive speed analysis covering 50+ metrics, waterfall profiling, JavaScript CPU analysis, third-party script impact assessment, and a prioritized action plan — delivered with a Loom video walkthrough explaining every finding.
Most speed tools give you a score and a generic list of recommendations. Our performance audit goes deeper — we profile your waterfall request chain, CPU execution timeline, main-thread blocking, rendering order, cache efficiency, and real-user field data. We identify root causes, not symptoms. Every finding is prioritized by its score impact and business value, so your team knows exactly what to fix first. The audit includes a detailed written report plus a Loom video walkthrough where we explain every finding in plain English.
Trusted by leading brands
ROI Calculator
Enter your URL — in 30 seconds, you'll see exactly how much revenue slow speed is costing you.
Enter your website URL
10,000+ sites analyzed · No login required · See your losses in 30 seconds
conversion loss per 1-second delay
of visitors leave after 3 seconds
Think with Google
in annual revenue lost to slow sites
Akamai
of consumers say speed affects purchases
Unbounce
higher bounce rate at 5s vs 1s load
of shoppers won't return to slow sites
Akamai
faster = 1% more conversions
Deloitte
sites analyzed by our tool
PageSpeed Matters
to form a first impression online
Google Research
abandon sites that take 3s+ to load
Portent
conversion loss per 1-second delay
of visitors leave after 3 seconds
Think with Google
in annual revenue lost to slow sites
Akamai
of consumers say speed affects purchases
Unbounce
higher bounce rate at 5s vs 1s load
of shoppers won't return to slow sites
Akamai
faster = 1% more conversions
Deloitte
sites analyzed by our tool
PageSpeed Matters
to form a first impression online
Google Research
abandon sites that take 3s+ to load
Portent
Who This Is For
Online stores where every 100ms of load time directly affects conversion rates — and where complex product pages, collection views, and checkout flows each present unique performance challenges.
Marketing teams running paid traffic to landing pages who need to know exactly why their pages are slow — and which fixes will have the biggest impact on conversion rates and quality scores.
Development teams that need expert-level performance analysis to guide their optimization work — with specific, actionable findings rather than generic tool recommendations.
Enterprise teams that need a formal performance audit document for stakeholders, procurement, or compliance — with executive summary, detailed findings, and measurable improvement projections.
Common Problems
You know your site is slow, but you don't know why. PageSpeed Insights gives you a score and generic recommendations, but doesn't tell you which specific resources, scripts, or rendering patterns are causing the problem. Without root-cause analysis, you're guessing at fixes.
Guide: Speed Testing ToolsLighthouse says one thing, GTmetrix says another, WebPageTest shows different results. Each tool measures differently — lab vs field, throttled vs unthrottled, different devices and locations. Without expert interpretation, you end up chasing contradictory recommendations.
Guide: Tool ComparisonSpeed tools dump 30+ issues without ranking them. Your team wastes weeks fixing low-impact items while the real bottlenecks remain. A proper audit ranks every issue by score impact × effort × business value so you fix the right things first.
Guide: Core Web VitalsAutomated tools identify symptoms (large images, unused CSS) but miss root causes: render-blocking critical chains, excessive DOM complexity, layout thrashing, unoptimized font loading, and JavaScript execution bottlenecks that require waterfall and CPU profiling to diagnose.
Guide: Core Web VitalsYour Lighthouse score is 90+ but real users complain about slowness. Lab tests measure one simulated visit; real users experience variability from different devices, networks, cached vs uncached visits, and third-party script timing. A proper audit bridges this gap.
Guide: Lab vs Field DataWithout a comprehensive audit establishing baseline metrics across all page templates, you can't measure the impact of optimizations. You need before/after data across lab metrics, field data, and business KPIs to prove ROI.
Guide: Measuring PerformanceWhat We Analyze
We analyze the complete request waterfall for every key page template — identifying critical chains, render-blocking resources, connection timing, server response patterns, and resource loading order. This reveals exactly which requests are delaying your LCP and FCP.
We profile main-thread JavaScript execution to identify long tasks, heavy event handlers, layout thrashing, forced reflows, and inefficient third-party scripts. This is the only way to find TBT and INP bottlenecks that waterfall analysis alone can't reveal.
Every third-party script (analytics, ads, chat, social, A/B testing) is individually profiled for network cost, CPU time, main-thread blocking, and impact on Core Web Vitals. You see exactly what each script costs in milliseconds and score points.
Every image, font, CSS, and JavaScript file analyzed for format efficiency, compression, sizing, lazy-loading, preloading, and caching. We calculate the exact savings available from format conversion, responsive sizing, and delivery optimization.
LCP, INP, and CLS analyzed individually with root-cause identification for each metric. We trace LCP to its exact resource and rendering chain, INP to its specific interaction handler, and CLS to its layout shift source — across both lab and field data.
Every finding ranked by score impact × implementation effort × business value. High-impact, low-effort fixes come first. The plan includes a Loom video walkthrough where we explain every finding in plain English — no jargon, no confusion.
The Data
A comprehensive audit reveals what automated tools miss — and gives your team a clear path to measurable improvement.
Proof
Every optimization starts with a comprehensive audit. Here's what happened after.

Audit identified 28 issues — all resolved. Lighthouse performance from 32 to 96, LCP from 8.4s to 1.6s, all Core Web Vitals passing in CrUX.
View Case Study
Audit revealed 3rd-party scripts consuming 2.8s of main-thread time. After remediation: mobile Lighthouse from 29 to 87, TBT from 2,800ms to 180ms.
View Case Study
Audit identified render-blocking Liquid, unoptimized images, and heavy app scripts. 80% load time reduction after implementing prioritized action plan.
View Case StudyOur Process
We run comprehensive lab tests (Lighthouse, WebPageTest, Chrome DevTools) and pull real-user field data (CrUX, RUM) for every key page template — homepage, product/service pages, landing pages, blog posts, and category pages. Each page gets mobile and desktop testing across multiple locations. This establishes your complete performance baseline.
We analyze every layer: server response timing (TTFB), request waterfall (critical chains, render-blocking resources), CPU profiling (main-thread tasks, long tasks, JS execution), rendering pipeline (layout, paint, composite), third-party script impact, image/asset efficiency, and caching configuration. Each layer gets its own section in the report.
For every Core Web Vital metric, we trace to the root cause — not the symptom. LCP gets traced to its exact resource and rendering chain. INP gets traced to its specific JavaScript handler. CLS gets traced to its layout shift source element. This is the analysis that automated tools can't do.
Every finding is ranked by: (1) score impact — how many Lighthouse/CWV points it's worth, (2) implementation effort — hours to fix, (3) business value — traffic × conversion impact. High-impact, low-effort fixes go to the top. You get a clear, numbered action plan.
You receive a detailed written report with all findings, data, and recommendations — plus a Loom video walkthrough where we explain every finding in plain English. We then schedule a live strategy session to discuss implementation priorities and answer questions.
Deliverables
Every audit includes a detailed report, Loom walkthrough, and prioritized action plan.
Detailed written report covering all 50+ metrics across server, rendering, JavaScript, images, third-party scripts, and Core Web Vitals — with screenshots, waterfall charts, and data tables.
A 20–45 minute video walking through every finding in plain English — showing exactly what's slow, why it's slow, and what to do about it. Shareable with your entire team.
Complete request waterfall for every key page template showing critical chains, render-blocking resources, connection timing, and resource loading order with annotated bottlenecks.
Main-thread execution timeline showing long tasks, heavy event handlers, layout thrashing, forced reflows, and third-party script CPU impact — with specific function-level attribution.
Every third-party script individually profiled for network cost, CPU time, main-thread blocking, and Core Web Vitals impact — with remove/defer/keep recommendations.
Every image analyzed for format, compression, sizing, lazy-loading, and preloading status. Every font, CSS, and JS file assessed for delivery efficiency. Includes calculated savings.
LCP, INP, and CLS individually traced to root causes with specific fix recommendations — not generic advice, but exact elements, resources, and code paths causing each issue.
Numbered list of every fix ranked by score impact × effort × business value. Each item includes: what to fix, why it matters, expected improvement, and implementation guidance.
How your performance compares against 3–5 direct competitors across Lighthouse scores, Core Web Vitals, and page weight — identifying competitive advantages and gaps.
Custom report mapping your speed improvements to projected conversion gains, organic traffic improvements, and revenue impact based on your actual traffic and conversion data.
Complete review of browser caching, CDN configuration, edge caching, object caching, and page caching — with specific configuration recommendations.
Before-optimization baseline metrics for every page template — creating the measurement foundation to prove ROI after fixes are implemented.
Pricing
Answer a few quick questions about your site to get an instant ballpark. Final pricing is confirmed after an audit.
How much traffic does your site get?
How much custom code does your site have?
How many third-party tools are running?
Do you need Core Web Vitals optimization?
How many posts/pages and products does your site have?
Estimated Investment
$1,500 – $2,500
One-time optimization fee
Typical Timeline
5–7 days
Why this range
simple setup
Final quote + plan confirmed after audit
What We Analyze
We analyze the complete request waterfall for every page: critical request chains, render-blocking resources, connection timing (DNS, TCP, TLS), server response, and download timing. This reveals the exact network-level bottlenecks.
We profile main-thread JavaScript execution: long tasks, event handlers, layout thrashing, forced reflows, garbage collection, and third-party script impact. This is the only way to find TBT and INP root causes.
Every third-party script individually assessed: network cost, CPU impact, main-thread blocking time, and Core Web Vitals impact. We quantify exactly what each script costs your performance.
Every image, font, CSS, and JavaScript file analyzed for format efficiency, compression ratio, delivery method, and caching configuration. We calculate exact byte savings and LCP impact.
LCP traced to its exact resource and rendering chain. INP traced to its specific interaction handler. CLS traced to its source element. Each metric gets a dedicated root-cause analysis section.
We analyze CrUX field data alongside lab results to identify real-world factors that lab tests miss — device distribution, geographic impact, cached vs uncached visits, and third-party timing variability.
Deep Dives
Go deeper with our free expert guides on website performance analysis.
FAQ
Get a comprehensive performance audit with a prioritized action plan and Loom video walkthrough.
