Services · The stopwatch on the shelf
Fast enoughTo convert
A rebuild that loads on a phone on mobile data, in the country your customers are actually in. Core Web Vitals are the measurement, revenue is the point.
- Core Web Vitals
- Next.js
- Shopify
- WordPress
- Lighthouse CI

Most slow sites are slow for three or four specific reasons, and a scanner will not tell you which. We profile on a real device on a throttled connection, find the render-blocking chain, the oversized hero image, the third-party script that costs 800 ms, and fix those. Then we keep a budget in CI so it does not slide back in six months.
What you get
- A before and after profile on a real mid-range phone, not a desktop lab score
- The fixes applied: images, fonts, render-blocking scripts, caching, third parties
- A performance budget enforced in CI so a regression fails the build
- A short list of what we deliberately did not do, and what it would cost
How it goes
01 · Measure where the money isThe pages that carry revenue, profiled on the device and network your customers use.
02 · Find the three thingsThere are usually three or four causes, not thirty. We rank them by milliseconds per hour of work.
03 · Fix and proveEach fix measured separately so you can see what earned its keep.
04 · Hold the lineA budget in CI and a monthly field-data check from real users.
What changes
Loads before they leave
The gap between a 4 second and a 1 second load is measured in abandoned carts.
A number for the board
Field data from real users, not a synthetic score that flatters you.
It stays fixed
The budget in CI is the difference between a project and a permanent result.
Work from this bench
Straight answers
- Do we need a rebuild or a fix?
- Often a fix. We measure first and tell you honestly, because a rebuild we do not need is an expensive way to be slow again later.
- Our site is on Shopify or WordPress.
- Both can be fast. The usual culprits are the theme, the app count and the image pipeline, and all three are addressable without leaving the platform.
- What score can you promise?
- None. We promise a measured before and after on your revenue pages, and we will tell you up front which parts are outside our control.
- Our lab score is green but the field data is failing. Why?
- Because a lab tool scores one run on one fast machine and the field data is what your visitors actually experienced, at the 75th percentile, on the phones and networks they actually have. When those disagree, the audience is on worse hardware than whoever ran the test.
- Do we have to rebuild the whole site?
- Usually not. Most real problems are a handful of specific things — an oversized hero image, a render-blocking font, a script that did not need to be there, content shifting as it loads — and fixing those four is cheaper and faster than a rebuild that reintroduces them.
- Does this help anything other than the score?
- The score is a proxy for whether people wait. Faster pages are the same work as pages that convert, which is why this is measured against your own analytics rather than against a badge.
All services
Tell us the problem in plain words.Book the intro call






