CLS fails in the field for a small set of repeatable reasons: missing media dimensions, late fonts, ad and embed slots, and content injected above the fold. Here is how to read the signal, rank fixes, and stop regressions coming back.
DebugBear pairs synthetic Lighthouse runs with first-party RUM and deep analysis; Apogee Watcher focuses on scheduled PageSpeed monitoring, automated discovery, and agency RBAC at a lower entry price. Here is an honest split, including where DebugBear is still the stronger fit for some workflows.
Teams still treat Core Web Vitals and Page Experience as if every page quality signal is a ranking boost. This guide maps what Google actually says in Search Central docs and what to do with it in delivery.
White-label reports are not a logo swap. For agencies, they are an operating system for trust: consistent branding, clear metrics, and fewer manual reporting hours every month.
Performance work fails when it lives in one person's head. Here is how to make web performance a shared standard: roles, rituals, and tooling that make speed everyone’s business, not a side quest.
How to find which tags and widgets cost you LCP, INP, and main-thread time, then fix or fence them without stripping analytics you still need.
How Apogee Watcher organises every client site under one account: one place for tests, results, and budgets, without a separate log-in or API key per property.
EdTech products run across very different user journeys, from course discovery to live lessons and assignment uploads. This guide shows which performance metrics matter at each stage, and how to monitor them without creating alert noise.
Manual PageSpeed stacks look cheap on paper until you add up hours, missed regressions, and client comms. Here is how to compare time and cost against scheduled, alerted monitoring.
Shared payloads for PDF and public PageSpeed reports, a latest-tests dashboard widget, domain-level lead reports, tighter alert reminders, and RSS full-text fixes.
Slow sites do not only frustrate users: they show up in bounce rates, conversion curves, and operational spend. Here is what published research says about the cost of poor web performance, and how to turn numbers into a monitoring plan.
Turn performance budgets into automated gates: what to enforce in CI, how to wire Lighthouse CI with assertions, and how that fits next to ongoing monitoring in production.
How Apogee Watcher turns performance budgets into email digests: per-site thresholds, mobile and desktop strategies, cooldowns, and what lands in your inbox after each test run.
Retail sites live or die on speed at the funnel steps where money changes hands. Here is which metrics to watch, what the research says about revenue impact, and how to monitor PLPs, PDPs, and checkout without drowning in noise.
PostHog measures Core Web Vitals from browsers that run `posthog-js`; Apogee Watcher runs scheduled PageSpeed Insights tests with no script on the site. Alerts and “budgets” in PostHog mean trends and insight maintenance; in Watcher they mean monitoring thresholds on test results. When to use one, the other, or both.
What Interaction to Next Paint measures, why it replaced First Input Delay in March 2024, and how to treat INP in audits and ongoing monitoring.
GTmetrix is a strong lab debugger; Apogee Watcher adds multi-site monitoring plus optional PageSpeed-backed lead prospecting—an honest split of strengths, limits, and when to use both.
This changelog covers the second half of March. The main thread was Watcher platform operations: faster admin workflows for page management, reliable budget defaults across all site creation flows, an...
