Performance Optimization
Make the Site Fast on the Devices Your Customers Actually Use
Site speed is measured on a developer's laptop over office fibre and experienced on a three-year-old phone on a congested cell network in a parking lot. The gap between those two is where visitors leave.
Speed is a confirmed Google ranking input through Core Web Vitals, and it is a conversion input regardless of ranking. A visitor who is deciding whether to call a contractor does not wait through four seconds of blank screen when the next result is one tap away.
We work on sites for businesses across Los Angeles, the San Gabriel Valley, the Inland Empire, and Orange County. The wins are rarely exotic. They are usually images shipped at ten times the weight they need, JavaScript for pages the visitor never opens, and caching that was never configured at all.
What Performance Optimization includes
A measurement baseline before anything changes
Lab tests plus field data from real visitors, because the two often disagree and the field data is the one Google uses. Without a baseline, optimisation work is a matter of assertion.
Images fixed first, because they are usually the problem
Correct format for the content, sized for the space they occupy, compressed, and lazily loaded below the fold. It is routine to find a single photograph outweighing every other asset on a page combined — and to remove most of that weight with no visible difference.
Only the JavaScript this page needs
Route-level code splitting so a visitor to the homepage does not download every blog article and every other page in the site. Bundle analysis to find the dependency pulling in far more than it contributes.
Caching and compression configured properly
Content-hashed assets cached for a year, HTML never stale, text compressed in transit, a CDN in front where it earns its keep. Repeat visits then cost almost nothing. This is often a single configuration file and one of the highest-return changes available.
Layout that does not jump while loading
Reserved space for images, embeds, and fonts, so the page does not shift under a thumb that is already moving toward a button. Cumulative Layout Shift is both a ranking signal and one of the most irritating things a site can do to a person.
How the work runs
- STEP 1
Measure
Lighthouse, WebPageTest on throttled connections, and Search Console field data across your real top pages rather than only the homepage.
- STEP 2
Rank fixes by return
You get an ordered list with the expected gain and the effort for each. Frequently two or three changes account for most of the available improvement, and we start there.
- STEP 3
Implement and verify
Each change is measured after it lands. Optimisations that do not show up in the numbers get reverted rather than accumulated.
- STEP 4
Guard against regression
Performance budgets and monitoring so the gain survives the next round of content changes. Sites get slow one well-meant addition at a time.
What we build with
- Core Web Vitals
- Lighthouse
- WebPageTest
- Code splitting
- Image optimisation
- HTTP caching
- CDN
- Bundle analysis
Performance Optimization: common questions
How much faster can our site realistically get?
It depends on where it is starting. Sites that have never had performance work commonly cut load time by half or better, because the first fixes are usually oversized images and missing caching. We measure first and tell you the realistic range before you commit.
Will faster pages actually improve our ranking?
Core Web Vitals are a confirmed ranking input, but they are a tiebreaker rather than a substitute for relevance. Speed will not make an irrelevant page rank. Where it reliably pays is conversion: the same traffic producing more inquiries.
Can you do this without rebuilding the site?
Usually yes. Most performance work is configuration, asset handling, and loading strategy rather than a rewrite. If the platform itself is the limit, we will say so plainly rather than billing for optimisation that cannot land.
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