You will get React Performance Optimization | Lighthouse 90+ | Core Web Vitals Fix

The number of revisions the professional will complete.

The number of pages the professional will include.

Your base package includes verification that your fixes hold up in production right after launch — a one-time confirmation that the metrics are real. This add-on goes further: I configure ongoing performance monitoring inside your own stack (Lighthouse CI in your build pipeline, or Web Vitals tracking wired into your existing analytics/RUM tool), so regressions get caught automatically going forward, not just at the moment I hand off the project. I set alert thresholds for LCP, INP, and CLS so your team gets flagged the moment a future deploy reintroduces a regression, before it reaches users or shows up in Search Console. This is infrastructure your team owns after I'm gone, no dependency on me running manual checks every month. Best for teams that ship frequently with multiple developers (including AI coding assistants), where one fix can be undone by the next merge. Delivered as a working, documented setup inside your existing repo or dashboard.

Your tier includes bundle-level fixes (shared bundles, code splitting, dynamic imports) for the pages included in your plan. This add-on extends that audit to additional routes beyond your tier's page count, useful for multi-route SaaS apps where the same bloated dependency repeats across pages you haven't covered yet. I trace your build output across the extra routes to find duplicate packages, oversized vendor chunks, and missing split boundaries, then deliver a report ranking which of those additional pages need the same treatment, and why, on top of the fixes already included in your tier. Best for apps with significantly more routes than your tier covers. Delivered as a written report with file-level references, it lets your developers act on it directly.

Your base package includes lab-based Lighthouse before/after reports, delivered the moment your fixes go live. This add-on extends verification into the real world: instead of just a lab score, you get an early field-data signal pulled directly from Google Search Console (CrUX), showing how real visitors are experiencing the change so far. Google's CrUX data uses a rolling 28-day average, so a fully clean post-fix dataset needs a few more weeks to settle. As a courtesy, once that window passes, I'll personally follow up via message with the complete before/after field-data comparison, at no extra charge, so you get an early signal now and the fully confirmed numbers later. You receive a clean PDF comparing field data across LCP, INP, and CLS, proving your gains hold for real users, not just in a controlled lab run. Use it to brief investors, your board, or your team with hard evidence that the investment paid off.