Overview
A marketing page speed regression monitor retests priority pages after launches, tag changes, media updates, and CMS edits. This playbook uses PageSpeed evidence to compare current results against prior baselines, then reports which campaign, pricing, form, offer, or SEO-critical pages got slower.
It is built for teams that know performance can drift quietly after "small" updates. A new hero image, analytics tag, embedded widget, redirect, or template change can affect the page people actually see, even when the launch checklist looked tidy.
The output is a reusable regression tracker plus a concise report. Juno labels each URL as regression, no regression, watch, baseline-only, or audit error, then prioritizes the fixes that matter most.
Why you should catch regressions after changes
Speed problems are easier to fix when the team can point to when they appeared. Without a baseline, every slow page becomes a debate about whether it was always slow, newly slow, or just having a bad day.
PageSpeed Insights can provide Lighthouse lab data and real-user field data when available, as described in Google's PageSpeed Insights documentation. Juno keeps those evidence types separate, then compares the same URL and device strategy against previous runs.
That distinction matters. A weak current score is not automatically a regression. This playbook looks for movement: performance score drops, LCP getting worse, layout shift changes, Total Blocking Time growth, or Core Web Vitals status moving in the wrong direction.
The result is a calmer post-launch read. Instead of checking every page manually, the team gets a ranked report showing what changed, what needs a retest, and which fixes should happen before more traffic or content work piles on top.
Step-by-step
- 1Confirm the priority URLs, trigger, device strategy, baseline source, materiality thresholds, and whether the check is one-off or recurring.
- 2Build the monitored page set from campaign, pricing, form, offer, product, comparison, or SEO-critical URLs that matter to marketing outcomes.
- 3Run current PageSpeed checks and capture final URL, field-data scope, performance score, Core Web Vitals status when available, worst metric, and likely issue.
- 4Compare each current result against the latest prior run for the same URL and strategy, preserving baseline and current evidence separately.
- 5Classify each row as regression, no regression, watch, baseline-only, or audit error based on actual movement and evidence confidence.
- 6Prioritize regressions by page importance, metric delta, conversion or SEO risk, confidence, and whether the issue affects a shared template.
- 7Produce the regression tracker and report with top fixes, baseline-only rows, no-change pages, caveats, and the recommended retest or monitoring cadence.
Frequently asked questions
What if there is no baseline?
Juno creates the tracker and records the first run as baseline-only. That does not prove a regression, but it gives the team a clean starting point for future comparisons.
Which pages should be monitored?
Use pages tied to marketing outcomes: campaign landing pages, pricing pages, forms, offer pages, product pages, comparison pages, and SEO-critical templates. Broad crawls can wait until the priority set is stable.
How often should this run?
Run it after meaningful page changes. For ongoing monitoring, weekly works for active campaign pages and monthly is usually enough for stable marketing pages.
What counts as a regression?
A regression is meaningful movement against a prior baseline, such as a score drop, worse LCP, increased Total Blocking Time, higher CLS, or Core Web Vitals status moving from pass to needs improvement or fail.