MARKETING

Core Web Vitals regression watcher after Vercel deploys

On every successful Vercel production deploy, re-crawls your key landing pages, compares Core Web Vitals against the last good baseline.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel production deploy succeedsVercelVercel
  • ActionCrawl landing pages and capture Core Web VitalsFirecrawl
  • LogicDiff LCP/CLS/INP against last baseline
  • ActionFile ClickUp task for regressed pagesClickUpClickUp
  • OutputSave new metrics as next baseline

What it does

Watches your Vercel production deploys and catches performance regressions on landing pages before they quietly bleed conversions. After each deploy it measures Core Web Vitals (LCP, CLS, INP), diffs them against the previous baseline, and opens a ClickUp task only when a page crosses your regression threshold.

When to use it

Use it when marketing owns landing pages that ship through the same Vercel project as the rest of the app, and a code change can silently degrade load speed. Instead of finding out from a Search Console ranking drop weeks later, you get a task the same day the deploy lands.

How it works

  1. 1A Vercel deployment webhook fires when a production deploy succeeds.
  2. 2Firecrawl crawls the configured list of landing-page URLs and captures their rendered performance metrics.
  3. 3A logic step diffs each page's LCP, CLS, and INP against the stored baseline from the prior deploy.
  4. 4If any metric regresses past the threshold, a ClickUp task is created with the page URL, before/after numbers, and the deploy ID.
  5. 5The new measurements are written back as the baseline for the next run.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect ClickUpDocs + tasks + chats in one workspace.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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