Performance Optimization Services

Your application loads in under 2 seconds. Our performance optimization company audits, optimizes, and proves it.

Measurable performance improvements across Core Web Vitals, page load time, and application response. Before-and-after audit reports. Every improvement verifiable in PageSpeed Insights.

Live audit simulation • Watch your Core Web Vitals improve
Performance score
0
Scanning...
LCPLargest Contentful Paint
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FIDFirst Input Delay
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CLSCumulative Layout Shift
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LCP after optimization
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Performance score
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Speed improvement
Performance Before and After
Developer at a warm-lit desk reviewing a Lighthouse performance report on a large monitor showing a green 94 score and passing Core Web Vitals, focused analytical posture in morning light

Slow applications lose users, revenue, and search ranking. Optimized applications recover all three.

Typical unoptimized application
8.4s
LCP (Largest Contentful Paint)
Target is under 2.5s. At 8.4s, 40% of users have already left.
340ms
FID (First Input Delay)
Target is under 100ms. Interaction feels broken and unresponsive.
0.48
CLS (Cumulative Layout Shift)
Target is under 0.1. Content is jumping as the page loads.
24
Lighthouse performance score
Scores under 50 directly impact Google search ranking.
After Redefine performance optimization
1.2s
LCP (Largest Contentful Paint)
Under 2.5s target. Core content loads before users think to leave.
28ms
FID (First Input Delay)
Under 100ms target. Interaction feels instant and responsive.
0.02
CLS (Cumulative Layout Shift)
Under 0.1 target. Content is stable and trustworthy to read.
94
Lighthouse performance score
Scores over 90 positively signal Google search quality systems.
Drag to See the Transformation

Drag the handle to reveal the before and after audit report for the same application.

Left: the audit report before optimization. Right: the same application after our optimization sprint. Same tool. Same URL. Measurable difference.

Before optimizationAfter optimization
24
Performance
Fails Core Web Vitals
LCP
8.4s
FID
340ms
CLS
0.48
FCP
4.1s
TTFB
2.8s
Top issues identified
Render-blocking resources (1.9s savings)
Unused JavaScript (1.2s savings)
Unoptimized images (2.1s savings)
No caching policy (repeating loads)
94
Performance
Passes all Core Web Vitals
LCP
1.2s
FID
28ms
CLS
0.02
FCP
0.8s
TTFB
0.3s
Optimizations applied
Script deferred and async-loaded
Images converted to WebP, lazy loaded
CDN configured, TTFB reduced 89%
Cache-Control headers set, tree shaking active
What We Optimize

Six optimization layers. Each measured before work starts and verified after it finishes.

Performance engineer at a dual-monitor setup comparing before and after performance traces, a Datadog APM flame graph and latency chart trending down beside a shortened request waterfall, focused analytical posture
What we measure before starting
  • Core Web Vitals baseline (LCP, FID, CLS)
  • Lighthouse performance score
  • Total page weight and request count
  • Server response time (TTFB)
  • Database query timing distribution
  • Cache hit rate and CDN coverage
Every metric from this baseline appears in the after-optimization report. No improvement claim is made without a before-and-after data pair.
01
Image optimization
0%
average page weight reduction
WebP conversion, responsive srcsets, lazy loading, compression without quality loss.
02
JavaScript optimization
0%
average JS bundle reduction
Code splitting, tree shaking, deferred loading, unused dependency removal.
03
Database optimization
0%
average query time reduction
Query analysis, index optimization, N+1 resolution, connection pooling.
04
CDN configuration
0%
average TTFB reduction
Edge distribution, cache-control headers, asset expiry policies, origin shield setup.
05
Caching strategy
0%
average cache miss rate reduction
Redis/Memcached setup, query result caching, fragment caching, stale-while-revalidate.
06
Critical rendering path
0%
average FCP improvement
Critical CSS inlining, render-blocking resource elimination, above-fold prioritization.
Performance in Production

E-commerce platform. Performance optimization improved conversion rate and search visibility simultaneously.

Lighthouse score improvement
0
points gained
From 24 to 94 across mobile and desktop
Load time reduction
0%
faster page load
8.4s to 1.2s on the key conversion pages
Organic traffic lift
+0%
search traffic increase
Core Web Vitals passing triggered ranking improvement
Product lead at a clean desk reviewing an analytics dashboard showing rising post-optimization organic traffic and a +24% conversion lift, calm satisfied side profile in morning light
E-commerce platformPerformance optimization

An established e-commerce platform with a strong product catalog had developed significant performance debt. Unoptimized image pipeline, render-blocking resources, and no caching strategy had pushed Core Web Vitals into the failing range. The performance issues were directly linked to below-average conversion rates and declining organic search impressions.

The optimization engagement started with a full technical audit identifying 14 distinct bottlenecks across the frontend, API response times, and CDN configuration. Sprint 1 addressed the highest-impact items: image optimization, script deferral, and CDN setup. Sprint 2 targeted query performance and caching. The before-and-after report showed 70% load time improvement, Lighthouse score from 24 to 94, and organic traffic growth as Core Web Vitals moved from failing to passing.

Why Redefine Performance Optimization Consulting

Three things we do differently from a standard performance optimization agency or developer retainer.

01
Audit before optimization
We measure before we touch anything. All impact estimates come from audit data.

Most performance work starts with implementation. Ours starts with a full technical audit that identifies every bottleneck and estimates the impact of fixing it.

You see the full list of optimizations ranked by impact before we begin. You approve the scope. No surprise work. No billing for changes you did not authorize.

02
Before-and-after reports
Every engagement closes with a verified before-and-after comparison. Every metric. No selective reporting.

The closing report shows the baseline measurement, the post-optimization measurement, the percentage change, and the PageSpeed Insights URL where you can verify independently.

If a metric did not improve, it appears in the report with an explanation. No selective reporting. No framing of weak results as positive with different units.

Software audit services →
03
All layers, not just the obvious ones
Image compression is table stakes. We optimize the database, CDN, and rendering pipeline too.

Frontend compression and image optimization are what most performance work covers. A slow database query or no CDN configuration can undo all of it.

Our audit covers frontend, API, database, and infrastructure layers. The optimization plan addresses whichever layers are contributing to the performance problem, not just the ones easiest to fix.

Common Questions

What engineering leads and product teams ask before starting a performance engagement.

Performance optimization covers frontend asset optimization (compression, code splitting, lazy loading, critical CSS), backend query optimization and database indexing, CDN configuration and caching strategy, server response time reduction, and Core Web Vitals improvement. The engagement starts with a technical audit that identifies every bottleneck before any optimization work begins. See the software audit services page for the audit process.

Performance optimization is measured against a baseline audit taken before work starts. The key metrics are Core Web Vitals (LCP, CLS, FID), Lighthouse performance score, time to first byte, first contentful paint, and total page weight. You receive a before-and-after report comparing each metric at the close of the engagement. All claims are verifiable via PageSpeed Insights and WebPageTest.

A performance audit takes 3 to 5 business days and produces a full prioritized list of optimizations with estimated impact for each. Implementation of a standard optimization sprint takes 2 to 4 weeks depending on scope. Complex architecture-level changes like database re-indexing or CDN migration can take longer and are scoped separately after the audit identifies them.

Improvement varies by how unoptimized the starting application is. Most applications without prior optimization work see 40 to 80 percent improvement in page load time and 20 to 60 percent improvement in Core Web Vitals scores. Applications already partially optimized see 15 to 40 percent further improvement. All estimates are produced after the baseline audit, never before it.

Yes. We optimize applications built by any team using any stack. The optimization process starts with a technical performance audit that does not require access to the original development team. The audit identifies issues at the code, infrastructure, and configuration level and produces a prioritized implementation plan.

Hire Performance Optimization

Tell us your application. We will audit it, return a full bottleneck report within 5 days, and share performance optimization pricing.

No commitment until you see the audit findings and optimization plan. No pitch.

Form

Submit brief → audit within 5 days → optimization plan in 1 week → Sprint 1 within 10 days

5 days
Audit delivered
Verified
Before/after report
All
Layers audited
Fixed
Sprint pricing
Brief received.

We will complete a technical performance audit and send findings with a prioritized optimization plan within 5 business days.

Small engineering team of three reviewing a final performance report on a large screen showing a green 94 Lighthouse score and passing Core Web Vitals with a 24-to-94 before-and-after, quiet satisfaction in calm office light
Your application loads in under 2 seconds with a performance optimization company that verifies every gain before and after, provable in PageSpeed Insights.

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