Jewellery DTC brand, UK market
78 to 92
fake 97 → honest 78 → 92; LCP 3.4 s → 1.2 s; zero scripts deferred for a real phone against 75 for a benchmark bot.
Read the case: The 97 That Was a LieStore launch, landings, catalog & speedClient work
Shopify speed work from field data first, with a pre-publish gate, for stores whose green lab score does not match what real shoppers feel.
Sounds familiar?
How I solve it
I build Shopify speed work from field data first, and I keep a gate in front of anything that ships. The baseline starts with real-user data and repeat lab runs, not one PSI screenshot. The diagnosis separates three things that look alike: a genuine bottleneck, a score that is being flattered by benchmark cloaking, and a fix that only moves the lab number. Fixes are applied to a candidate theme with a backup, and nothing reaches the live theme until the pre-publish gate passes.
The gate exists because of a specific failure: a client found three regressions that a green score did not show, so the verify step became mandatory on every candidate theme.
The process
6 steps. Scope and a fixed price are agreed before the first one.
Chrome UX field data plus repeated Lighthouse/PSI runs, so a single lucky run is not the baseline.
A store with benchmark cloaking has no trustworthy baseline until the script is removed, because it defers scripts only for testing bots.
Hero preload, app JavaScript, images and srcset — measured on a candidate theme, not on the live store.
The pre-publish verify step checks the candidate theme and can block the release outright.
Recorded theme ids, so any step can be reverted.
Some green-score tricks are worth less than nothing; they are listed, not applied.
Handover
Built with
Proof
Client work Done for real clients. Client details are anonymised.
Before → after
On a jewellery DTC brand, the store showed a fake 97; with the benchmark cloak removed the honest score was 78, and after real optimisation it reached 92, with Largest Contentful Paint 3.4 s → 1.2 s — measured July 2026.
Jewellery DTC brand, UK market
78 to 92
fake 97 → honest 78 → 92; LCP 3.4 s → 1.2 s; zero scripts deferred for a real phone against 75 for a benchmark bot.
Read the case: The 97 That Was a LieSeafood store, Ireland
8.94 MB to 0.77 MB
homepage transfer 8.94 MB → 0.77 MB; Total Blocking Time 610 ms → 0 ms; requests −57%.
Shopify speed kit
96 sourced findings, a 72-store fleet scan, and a pre-publish gate proven both ways with 12 unit checks and negative controls.
Client words
I am leaving this block empty on purpose. My verified Upwork reviews cover tracking, Shopify apps and audits — none of them is about speed work, and I am not going to borrow a quote from a different kind of project to fill the space.
What you can look at
A redrawn before/after comparison across three theme states (as-was, cloak removed, optimised) on a synthetic store, plus a short decode of a benchmark-cloaking snippet rebuilt on synthetic code. The real reads are below.
Client details anonymised. Figures read from live platform APIs and lab runs in July–August 2026.
Price and timeline
A bounded theme scope is a Focused Fix from USD 450, with a fixed quote before any live-theme write. If your question is just “is my score real?”, a Working Session at USD 195 can answer it against field data. Nothing ships to your live theme without the pre-publish gate passing and a rollback record in place.
QuoteFixed before work starts
A note from Daniilbefore you decide
If your Chrome field data already meets your targets and shoppers are not complaining, a lab score is not your problem and I will say so. And if all you want is a higher number, I will decline the job: a fabricated score is exactly what this page is about.
— Daniil
Questions
Not always — but it can be. A cloaking script can defer scripts only for benchmark bots while real shoppers load the full page. The way to tell is field data and a runtime check, not the score itself.
By watching what the page actually serves to a real device against a testing bot, and by comparing Chrome field data with the lab run. Real caching helps real users; cloaking only helps the number.
Only through a candidate theme, with a backup, behind the pre-publish gate, and with a rollback ladder. If the gate blocks, nothing ships.
Sometimes, and sometimes they cost you a feature. On one store an app embed had been silently disabled in settings; that is a regression a score will not show you.
A verify step that checks a candidate theme before release and can block it. It was added after a client found regressions that a green score had hidden.
The first answer is free, within one working day. Or write directly: next@taskfordaniel.com