Performance Optimization
Core Web Vitals
Make an Existing Website Fast, Then Prove It With Data
A slow page is almost never slow for one reason. It is a 2.4 MB hero image, two render-blocking font files, a tag manager loading three separate analytics tools, and a database query that reruns on every single page view. Fix one of those alone and the gain disappears into the noise; fix them together and the difference is visible within the same week.
We optimise sites that already exist rather than rebuilding them. Work starts with real visitor data from the Chrome UX Report and your own analytics, then moves through images, fonts, JavaScript, caching and server response time in the order the measurements demand. Every change is tied to the metric it was meant to move, and verified four weeks later.
LCP: The Main Element
Largest Contentful Paint records when the biggest image or headline finishes rendering on a genuine visitor session.
INP: The Reaction Time
Interaction to Next Paint measures how long the page takes to visibly respond after a tap, click or keypress.
CLS: The Jitter Score
Cumulative Layout Shift counts how far visible content jumps around while the page is still settling.
What We Fix
The Six Levers Behind Most Slow Websites
Each item is measured before and after, so you can see which change bought which improvement.
Image Compression and Formats
AVIF and WebP conversion, correctly sized variants per breakpoint, and lazy loading for everything below the fold.
Font Loading Strategy
Self-hosted subsets, preloaded critical faces and font-display swap so text never flashes invisible.
JavaScript Reduction
Bundle analysis, tree shaking and per-route code splitting so each page ships only the code it actually runs.
Caching and CDN Delivery
Long-lived immutable asset headers plus edge delivery from locations close to where your visitors actually are.
Server and Query Tuning
Lower time to first byte through opcode caching, query indexing, object caching and connection pooling.
Third-Party Script Audit
Every tag, chat widget and tracking pixel costed in milliseconds, then deferred, self-hosted or removed.
Our Method
Measure, Attribute, Fix, Re-Measure
Guessing at speed work wastes budget, so the sequence below is deliberately evidence first.
Baseline Measurement
We capture field data and lab scores for each key template before touching anything.
Bottleneck Attribution
Network waterfalls and main-thread traces show which resource costs the most time.
Prioritised Fix List
Changes are ranked by measured impact against the effort each one requires.
Batched Implementation
Fixes ship in small batches so any regression is easy to attribute and reverse.
Verification and Alerts
Field data is re-checked for four weeks and monitoring flags future regressions.
Scope of Work
What the Optimisation Engagement Produces
You receive both the working improvements and the evidence that they landed.
- Field data baseline taken from real visitor sessions
- Lighthouse and WebPageTest lab reports per template
- Optimised images in AVIF and WebP at correct sizes
- Third-party scripts deferred, consolidated or removed
- Cache header and CDN configuration applied
- Database query and indexing recommendations
- Before and after Core Web Vitals comparison
- Regression monitoring alerts on key templates
Frequently Asked Questions
Website Speed and Core Web Vitals FAQ
Let’s Contact
Let’s Discuss About the Project
IIIrd Floor, Block B, Ansal Corporate Plaza, T-444, Carterpuri Rd, Block C 2, Palam Vihar, Gurugram, Haryana 122017
How May We Help You!
