Commerce Performance Optimization
Fast where it earns revenue.
Core Web Vitals, checkout speed, and API latency fixed at the source — then held with a performance budget in CI, so the storefront stays fast after the third marketing tag ships.
The levers
Six levers, measured at p75.
Averages hide the slow sessions that lose carts. We tune for the 75th percentile on real devices, then keep it there.
Core Web Vitals
LCP, INP, and CLS measured at p75 on real devices — then fixed at the source: render path, fonts, third-party scripts, layout shift.
Checkout speed
The page that converts gets its own budget. Defer everything non-critical; the buy button is interactive first, not last.
API latency
p95, not average. Cache what is cacheable, batch what is chatty, and move the slow calls off the critical path.
Image & media
Right format, right size, right priority. AVIF/WebP, responsive sources, lazy below the fold, eager for the hero.
Frontend architecture
Edge rendering, ISR, code-split routes, and a third-party budget — so a marketing tag cannot tank the storefront.
Release gates
A performance budget enforced in CI. A regression fails the build, so the gains do not erode one sprint at a time.
What changes
Measured before, measured after.
Example performance model, not a specific client result. We baseline first, fix at the source, and watch the trend hold past launch.
Holding the gains is a monitoring problem, not a launch-day one. We wire the live vitals into MetriQ, our anomaly-detection layer — so an AI model watching p75 LCP, checkout TTI, and API p95 pages the team the moment a release bends the trend, instead of waiting for the next quarterly report.
Where we built
D2C fashion storefront, rebuilt for speed.
90+Lighthouse score, up from ~40 — LCP 4.2s to 1.4s, mobile conversion +25%
Read the case studyAI-assisted QA included.
Tests aren't a separate line item — they're how engineers ship covered code. Lower QA budget, faster feedback, better coverage than traditional QA cycles.
Auto-generated E2E
Playwright + LLM scaffold tests from product flows.
Self-healing selectors
Tests don't break when copy or DOM shifts.
Production replay
Real traffic patterns become regression suites.
PR-level impact
Only the relevant tests run on each diff.
How an engagement starts
Three steps to a partnership
Intake call
30 minutes. We listen, you talk. No deck.
Diagnostic
We audit the surface, name the bottleneck, propose a path.
Kickoff
Senior engineer in your standup by week two.