Technical SEO
Making sure search engines can crawl, render and trust your site.
Cloud, Data & Reliability
Every second costs conversions
Speed is one of the few technical improvements with a directly measurable revenue effect. It is also one of the most consistently deferred.
- Engagement
- Fixed-scope project
- Typical timeline
- 3–6 weeks plus validation
- Delivered across
- All 50 US states
Overview
Performance work has an unusually clear business case. Faster pages convert better, retain more mobile users, cost less to serve, and rank marginally better. The relationship between load time and conversion has been measured repeatedly across industries and it is consistent.
The work is diagnostic rather than formulaic. We profile against real user data, not lab scores on a fast connection, because the slowest experiences are on mid-range Android phones on congested networks — and those users are a large share of US mobile traffic. The causes are usually unoptimized images, third-party scripts, render-blocking resources, or database queries that were fine at a tenth of the current data volume.
We fix causes and then defend the result. A performance budget enforced in CI prevents the site from slowly regressing back over the following year, which is what happens to almost every optimization project that ends without one.
- Typical load time reduction on unoptimized sites
- 50–70%Typical load time reduction on unoptimized sites
- Core Web Vitals on field data, not lab scores
- GreenCore Web Vitals on field data, not lab scores
- Performance budget in the deployment pipeline
- EnforcedPerformance budget in the deployment pipeline
Business benefits
What performance optimization changes for you
The reasons this work earns its budget, stated as outcomes rather than features.
Measured on real users
Field data from actual visitors on actual devices, because lab scores systematically flatter performance.
Third-party scripts audited
Every tag quantified for its performance cost and business value — usually the single largest recoverable weight on a marketing site.
Images handled properly
Modern formats, correct sizing, lazy loading and explicit dimensions to eliminate the largest payload and most layout shift.
Backend latency addressed
Query optimization, indexing, caching layers and server response tuning, since front-end work cannot fix a slow origin.
Mobile prioritized
Optimization targeted at mid-range devices on real networks, where the gap between acceptable and unusable actually sits.
Protected against regression
Automated performance testing in CI with budgets that fail the build, so the gains hold over time.
Problems solved
If any of this sounds familiar
These are the situations clients describe in the first conversation, and what we do about each.
“Our site takes six seconds to load on mobile.”
Profile to find the actual causes — typically images, scripts and render blocking — then fix them in impact order and verify against field data.
“Core Web Vitals fail despite a good Lighthouse score.”
Lab and field data diverge often. We optimize against real user metrics, which is what Google actually uses.
“Marketing tags keep getting added and the site keeps slowing.”
Tag audit with a governance process, plus server-side tagging where appropriate to move weight off the client entirely.
“The site got fast last year and is slow again.”
Enforced budgets in CI. Without them, performance regresses gradually as normal development continues.
Our process
How we deliver it
Each stage has a defined output, so you always know what you are getting and when.
- 01
Measure
Field and lab data collected, with the slowest real user experiences identified rather than the average.
- 02
Diagnose
Waterfall analysis, backend profiling and third-party cost assessment to find causes rather than symptoms.
- 03
Prioritize
Fixes ranked by measured impact against implementation effort, with expected gains stated per item.
- 04
Implement and verify
Changes made and validated against field data over several weeks, since real-user metrics need time to accumulate.
- 05
Defend
Performance budgets in CI, monitoring and alerting so regressions are caught in review rather than in production.
Technologies used
The tools behind the work
Chosen for maintainability and hiring depth rather than novelty. We will justify any choice on request, and we avoid technology that makes you dependent on us.
- Lighthouse CI
- WebPageTest
- CrUX
- Cloudflare
- Next.js
- Redis
- New Relic
- Datadog
Industries served
Where this work lands most often
Sector context changes what good looks like. These are the industries where we have delivered this service repeatedly.
Why Mova
What working with us on performance optimization is like
The same commitments apply to every engagement, regardless of size or service.
A defined first step
We scope a fixed-price starting point so you can evaluate us on performance optimization before committing to a program.
Senior people, named
The team you meet is the team that delivers. You will know exactly who is accountable.
You own the output
Code, accounts, files and documentation are yours from day one, with no lock-in of any kind.
Measured, then reported
We baseline before starting and report against it honestly — including the months that fall short.
Questions
Performance Optimization: common questions
The questions we are asked most about performance optimization, answered directly.
Sites that have never been optimized typically improve 50–70% in load time. Sites already given attention see smaller but still worthwhile gains. We measure first and give you a specific estimate.
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Next step
Ready to talk about performance optimization?
Thirty minutes with someone who has delivered this work. We will tell you what it would take, roughly what it would cost, and whether Mova is the right fit.
No pitch deck. A 30-minute conversation about what you are trying to achieve.