Overview

What is Speed Insights?

PulseBear Speed Insights is real‑user monitoring (RUM) for front‑end performance. Instead of running a single synthetic test, it collects metrics directly from your users’ browsers — on their devices, networks, and real conditions — and visualizes them in your PulseBear dashboard.

You get the actual experience your visitors have in production, not a lab estimate.

Why PulseBear over Lighthouse?

• Data source
  • PulseBear (RUM): field data from real users, 24/7.
  • Lighthouse: lab/synthetic test run on demand (local or CI).
• Coverage
  • PulseBear: continuous collection across your entire app.
  • Lighthouse: one URL per run.
• Context
  • PulseBear: real devices, browsers, extensions, cache state, and networks (3G/4G/Wi‑Fi).
  • Lighthouse: controlled, emulated environment.
• Aggregation
  • PulseBear: percentiles (p50/p75/p90), trends over time, segmentation.
  • Lighthouse: single snapshot score per run.
• Actionability
  • PulseBear: pinpoints which routes degrade user experience.
  • Lighthouse: great audits and recommendations, but not representative of production usage.

Note: Lighthouse is still valuable for local debugging and prevention in CI. PulseBear complements it with field data that reflects what users actually feel.

Per‑route visibility

PulseBear maps metrics to concrete routes in your app so you can:

• See which routes are Good, Needs improvement, or Poor at a glance.
• Prioritize the paths that impact users the most (e.g., /checkout vs /blog).
• Understand layout/code differences across pages.
• Aggregate dynamic routes (e.g., /product/[id]) into a single pattern for cleaner analysis.

Metrics collected

• LCP (Largest Contentful Paint): how quickly the main content appears.
• FCP (First Contentful Paint): first pixel of content on screen.
• INP (Interaction to Next Paint): responsiveness to user interactions.
• CLS (Cumulative Layout Shift): visual stability of the page.
• TTFB (Time to First Byte): server response latency.

Each metric is available with p50/p75/p90 percentiles and filters by route, device, and browser.

What you gain

• Representative, trustworthy data about real UX in production.
• Clear prioritization based on which routes and segments are slow.
• Trend tracking and quick regression detection after deployments.
• Better decisions than relying on a single Lighthouse score.

How it fits your workflow

• Use PulseBear to monitor production continuously and spot regressions early.
• Use Lighthouse locally/CI to investigate and apply specific audit recommendations.
• Iterate: fix, deploy, and verify improvements in PulseBear’s