SAMPLE AUDIT of a Shopify theme demo store, not a customer. The page tested is Shopify's official public demo storefront for its free Dawn theme (themes.shopify.com). It is not a real customer, was not commissioned, and no company brand is being assessed. It is used only to show the report format. All numbers are real lab measurements taken on the date above; they describe one page load under simulated conditions, not any real-customer experience.
On a simulated mid-range phone with a slow 4G connection, this page scores 93/100 (Needs work loading, Good responsiveness, Good visual stability). On desktop it scores 99/100.
Read this first: the simulated-phone LCP (2.9 s) is far worse than the un-throttled LCP measured in the same run (231 ms). The big gap means the page is heavy on JavaScript and images, which hurts a lot on slow phones/networks. It does not mean every visitor waits that long.
| Metric | What it means | Mobile | Desktop | Target |
|---|---|---|---|---|
| Performance score (0-100) | Lighthouse overall | 93 | 99 | >= 90 |
| LCP - Largest Contentful Paint | when the main content appears | 2.9 s Needs work | 774 ms Good | <= 2.5 s |
| FCP - First Contentful Paint | when anything first appears | 1.9 s Needs work | 577 ms Good | <= 1.8 s |
| TBT - Total Blocking Time | lab proxy for INP (tap responsiveness) | 100 ms Good | 0 ms Good | <= 200 ms |
| CLS - Cumulative Layout Shift | how much the page jumps around | 0.000 Good | 0.000 Good | <= 0.1 |
| Speed Index | how fast the page fills in | 1.9 s Good | 829 ms Good | <= 3.4 s |
Mobile value shown is the median-scoring of 3 run(s); desktop of 3 run(s). INP cannot be measured in a lab test without a real user, so TBT is used as the stand-in (per Google's web.dev/vitals guidance). Targets are Google's published Core Web Vitals thresholds (LCP 2.5 s, INP 200 ms, CLS 0.1).
Run-to-run variation (mobile): score 93-94; LCP 2.9 s - 3.0 s. Lab numbers move between runs; treat them as a range, not an exact figure.
Caveat on mobile LCP: Lighthouse's headline mobile numbers are simulated (it loads the page fast, then mathematically models a slow phone/network). In this run the un-throttled observed FCP/LCP were 190 ms / 231 ms. Real customers land somewhere between the two, depending on their device. Real-visitor (field) data from Chrome's CrUX report was not included: the CrUX API needs a Google API key, which this sample did not use.
Illustrative estimate using example inputs, not a guarantee. The store traffic, conversion rate and order value below are placeholders, not this store's real numbers. Nothing on this page is a customer result, a forecast of your sales or a promise.
'After' values start from the measured numbers and subtract Lighthouse's own estimated savings for this page (largest single estimate per metric, not added together): LCP −0.3 s. The 'after' score is modelled with Lighthouse's published scoring curves. It was not re-measured; it is what the page would score if the fixes in section 4 deliver Lighthouse's estimate.
Mobile LCP: 2.87 s → 2.57 s; mobile score: 93 → 95 (modelled).
A study commissioned by Google and run by fifty-five and Deloitte Digital (Milliseconds Make Millions, 2020) tracked mobile sessions across 15 retail brands (20.5 million sessions, 4 weeks). When mobile load speed improved by just 0.1 second (across four speed measures on every page), retail conversions rose 8.4% and average order value rose 9.2%. It is an observed correlation across a few brands, not a guarantee, and it is for a 0.1-second improvement, so we do not multiply it for bigger speed gains.
Sources: web.dev summary · Deloitte · Full report (PDF)
Lighthouse estimates at least 0.3 s of LCP savings here, so the study's 0.1-second effect is a fair reference point. We use only conversion (not the +9.2% order-value finding) and apply only a fraction of the 8.4% for the low and base cases:
| Step | Low | Base | High |
|---|---|---|---|
| Assumed share of the study's +8.4% effect (our haircut) | 25% | 50% | 100% |
| Conversion uplift used | +2.1% | +4.2% | +8.4% |
| Example monthly mobile sessions (placeholder) | 10,000 | 10,000 | 10,000 |
| Conversion rate before, then after | 1.50% → 1.53% | 1.50% → 1.56% | 1.50% → 1.63% |
| Example average order value (placeholder) | $65 | $65 | $65 |
| Monthly revenue before | $9,750 | $9,750 | $9,750 |
| Monthly revenue after (illustrative) | $9,955 | $10,160 | $10,569 |
| Extra revenue per month | +$205 | +$410 | +$819 |
| 12-month extra revenue (fixes live from month 2) | $2,252 | $4,504 | $9,009 |
Formula: monthly revenue = sessions × conversion rate × average order value. After = same formula with the conversion rate × (1 + uplift). Replace the placeholder inputs with your own numbers from Shopify analytics to get your own estimate.
On these placeholder inputs the base case adds about $410 per month, which would cover the $99 audit price in under one month of post-fix sales. This does not include the time or cost of making the fixes (your developer, app changes), nor seasonality, ad spend changes or anything else that moves sales.
Why you should treat this cautiously: the study is a 2019 retail sample, correlation is not causation, your store, audience and starting speed are different, and a lab score is not what shoppers experience. A store with much smaller traffic or conversion would see proportionally smaller numbers. Use this as a way to size the opportunity, not to predict it.
Ordered by expected impact on the mobile result. This is the list the ROI section above assumes you act on. 'Impact' is Lighthouse's own estimate or a plain-language rating tied to the measured value; it is not a promise of a specific score gain or revenue change.
| # | Fix | Impact | Difficulty |
|---|---|---|---|
| 1 | Shrink and modernise images | High (page weight) | Easy |
1. Shrink and modernise images
Evidence: 3 images are larger or older-format than they need to be. Lighthouse estimates ~104 KB could be saved. Largest examples: theme-dawn-demo.myshopify.com/…/141569803_417219312901458_4638470652865432174_n.jpg (saves ~62 KB); theme-dawn-demo.myshopify.com/…/Mlouye_-_Shoe_collection.jpg (saves ~27 KB); theme-dawn-demo.myshopify.com/…/Shoes_and_bag.jpg (saves ~15 KB).
What to do: Upload images at the size they are actually shown, let Shopify serve WebP/AVIF (use the image_url filter with width and a srcset), and re-compress hero/banner art before uploading. For images hosted by a third-party tool (e.g. a marketing app), fix it in that app.
Page transferred 1,700 KB in 266 requests (measured by Lighthouse). Requests to domains other than the store's own:
| Third party | Requests | Transferred | Main-thread time |
|---|---|---|---|
| Shopify | 36 | 57 KB | 65 ms |
| shop.app | 1 | 4 KB | - |
Total third-party transfer: 62 KB (4% of page). Main-thread time is only shown where Lighthouse attributed script CPU time to that domain. Note: Lighthouse's own 3rd-party summary failed in this run (tool bug), so this table is computed from the raw request log.
25 image requests, 361 KB total (21% of page weight). Largest images:
| Image | Size | Host |
|---|---|---|
theme-dawn-demo.myshopify.com/…/141569803_417219312901458_4638470652865432174_n.jpg |
99 KB | theme-dawn-demo.myshopify.com |
theme-dawn-demo.myshopify.com/…/Mlouye_-_Shoe_collection.jpg |
37 KB | theme-dawn-demo.myshopify.com |
theme-dawn-demo.myshopify.com/…/Mlouye_-_Bags_collection.jpg |
35 KB | theme-dawn-demo.myshopify.com |
theme-dawn-demo.myshopify.com/…/Shoes_and_bag.jpg |
35 KB | theme-dawn-demo.myshopify.com |
theme-dawn-demo.myshopify.com/…/Mlouye_video.png |
30 KB | theme-dawn-demo.myshopify.com |
Lighthouse flags 3 images as improvable (estimated savings ~104 KB).
HTML check (raw page source): 25 <img> tags; 0 missing width/height; 0 with no alt attribute; 9 with empty alt; 22 lazy-loaded. Note that many images on modern themes are inserted by JavaScript and will not appear in raw HTML.
Shopify.theme present)<script> tags; ~36 KB inline JavaScriptThe audit itself is report-only; fixes are an optional add-on. $199 to $599 per store. Only available after you buy the $99 audit (or if you already have one of our reports). We apply the audit's top fixes where they apply to your store.
Price and payment. Where you land in the range depends on the audit findings: how poor the scores are and how much work the fixes need. The exact fixed price is quoted in writing after the audit and before any work starts. You pay only after you accept the written quote, using a payment link we send you by email.
What's included
What's NOT included
What we need from you
How we work safely
Timeline. Typically 3-5 business days after you accept the quote and we have access. This is a typical time, not a guarantee.
How to request it. Email elevate20llc@gmail.com with the subject “Fix It For You”. There is no payment link yet; we send one only after you accept the quote.
Terms. Every quote includes up to 2 rounds of revisions to the changes we made (adjustments to our work, not new features or new work). Full details of scope and price are in the written quote.