Analytics Pipeline
Hourly GA4 → BigQuery exports with a daily LLM-written anomaly report to Slack.
Overview
Sets up a fully automated analytics pipeline: pulls GA4 data into BigQuery on an hourly schedule, runs SQL-based anomaly detection, and at 9am sends an LLM-written 'what changed and why' report to your data channel. No analyst required for the routine monitoring layer.
What's included
Quickstart
- 01
Authorize GA4 and BigQuery
Use the provided OAuth flow. A service account is created automatically.
- 02
Set your metrics of interest
Choose which events and dimensions to monitor for anomalies.
- 03
Connect Slack
Point the report to your data channel or a dedicated #analytics channel.
- 04
Review the first report
Wait for the 9am send and validate the anomaly explanations against your knowledge.
Reviews (89)
4.4 averageKarim B.
Freelance Developer
Jun 18, 2026
Exactly as described. Imported into our n8n instance, connected credentials, and it's been running daily since without a hiccup.
Amir H.
CTO, early-stage startup
Jun 12, 2026
Works as advertised. Minor gripe: I had to update one credential name for the newer n8n version, but support sent a fix within hours.
Daniel K.
RevOps Lead
May 18, 2026
Solid workflow. I customized the prompt to our own criteria in about ten minutes and it adapted with zero code changes.
Marcus T.
Founder, B2B SaaS
Mar 22, 2026
Docs are excellent. The prerequisites table alone saved me an evening of figuring out which API keys I needed.
Ana Petrova
Product Manager
Feb 24, 2026
Support answered my setup question the same day. The inline node documentation is better than most paid tools I've used.
Nadia Osman
Support Team Lead
Jan 28, 2026
Bought one agent to test, came back for the full plan a week later. The setup pattern is identical across all of them.
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