MARKETING
Nightly CWV trend audit on production landing routes with baseline drift report
Runs every night against the live marketing routes, stores LCP/CLS/INP to a warehouse for trending.
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule
- ActionAudit production landing routesBrowserbase
- ActionAppend metrics to BigQueryBigQuery
- LogicCompare to trailing 7-day baseline
- OutputPost drift digest to SlackSlack
What it does
Catches the slow-creep regressions that no single deploy causes — a CMS image swap, a new marketing tag, or growing third-party weight. It audits production landing routes nightly, persists the metrics for long-term trends, and surfaces routes drifting past budget.
When to use it
Use it as a standing health check independent of the deploy gate. It's the right fit when content editors and tag managers change the live site outside the code path, so deploy-time gates alone miss the regression.
How it works
- 1A nightly schedule triggers the run.
- 2The flow audits each production landing route and collects LCP, CLS, and INP.
- 3It writes the results as a dated row into BigQuery for trend history.
- 4A logic step compares tonight's numbers to the trailing 7-day baseline and flags drift beyond the budget.
- 5It posts a Slack digest listing healthy routes, drifting routes, and week-over-week change.
Set it up
What you configure once, before turning it on.
- 1Connect BrowserbaseHeadless browsers, sessions, replays.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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