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GA4 analytics access and reporting assistant workflow #16

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opened 2026-06-28 19:12:51 +00:00 by rafa · 0 comments
rafa commented 2026-06-28 19:12:51 +00:00
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Labels: area:infra, improvement

Summary

Set up a practical workflow so Codex can help inspect Google Analytics 4 data, extract useful report slices, and explain trends or anomalies in plain language.

The goal is not just raw access to GA4, but a repeatable way to answer questions like:

  • why traffic dropped this week
  • which channels bring traffic but low engagement or low conversion
  • which landing pages perform best or worst
  • how mobile vs desktop mix is changing
  • what campaigns or sources are improving or degrading over time

Desired outcome

Have at least one reliable path for working with GA4 data from this environment:

  1. manual import path
  2. API-based report extraction path
  3. optional BigQuery path for deeper analysis later

Recommended implementation path

Phase 1: manual analysis from exports

Support a low-friction workflow where GA4 reports can be exported as CSV/XLSX and analyzed locally.

Deliverables:

  • documented list of useful GA4 exports to request regularly
  • local analysis script or notebook for CSV-based summarization
  • prompt/playbook for interpreting top channels, landing pages, devices, and conversion trends

Phase 2: GA4 Data API integration

Add a local script or small tool that queries the GA4 Data API directly.

Suggested capabilities:

  • users / sessions / engaged sessions for last 7 / 28 / 90 days
  • source / medium breakdown
  • landing page performance
  • device category mix
  • country / city / browser / OS slices
  • key events / conversions if configured
  • compare current period vs previous period
  • export results to CSV and markdown summaries

Suggested auth options:

  • service account if property access allows it
  • OAuth if direct user-granted access is easier

Likely primary endpoint:

  • GA4 Data API runReport

Optional Phase 3: BigQuery export

If the site needs deeper analytics, evaluate GA4 -> BigQuery export.

Use cases:

  • custom funnels
  • event-level analysis
  • cohorts
  • attribution investigations
  • joining GA4 with content or CRM data

Technical notes

GA4 official references:

Proposed local deliverables

  • scripts/ga4_report.py or equivalent
  • docs/analytics/ga4-setup.md
  • docs/analytics/ga4-report-recipes.md
  • support for .env configuration of GA4_PROPERTY_ID
  • support for export to CSV
  • support for markdown summary output

Questions to resolve

  • Which GA4 property is in scope?
  • Is service-account access possible for that property?
  • Are conversions / key events already configured correctly?
  • Is BigQuery export already enabled?
  • Should the first version live in this repo or in a shared tooling repo?

Acceptance criteria

  • Codex can analyze a manually exported GA4 CSV with a documented workflow
  • Codex can query at least one useful GA4 report directly by API from this machine
  • The setup is documented clearly enough to repeat without rediscovering credentials and steps
  • At least 3 reusable report recipes exist: traffic overview, landing pages, source-medium
**Labels:** area:infra, improvement ## Summary Set up a practical workflow so Codex can help inspect Google Analytics 4 data, extract useful report slices, and explain trends or anomalies in plain language. The goal is not just raw access to GA4, but a repeatable way to answer questions like: - why traffic dropped this week - which channels bring traffic but low engagement or low conversion - which landing pages perform best or worst - how mobile vs desktop mix is changing - what campaigns or sources are improving or degrading over time ## Desired outcome Have at least one reliable path for working with GA4 data from this environment: 1. manual import path 2. API-based report extraction path 3. optional BigQuery path for deeper analysis later ## Recommended implementation path ### Phase 1: manual analysis from exports Support a low-friction workflow where GA4 reports can be exported as CSV/XLSX and analyzed locally. Deliverables: - documented list of useful GA4 exports to request regularly - local analysis script or notebook for CSV-based summarization - prompt/playbook for interpreting top channels, landing pages, devices, and conversion trends ### Phase 2: GA4 Data API integration Add a local script or small tool that queries the GA4 Data API directly. Suggested capabilities: - users / sessions / engaged sessions for last 7 / 28 / 90 days - source / medium breakdown - landing page performance - device category mix - country / city / browser / OS slices - key events / conversions if configured - compare current period vs previous period - export results to CSV and markdown summaries Suggested auth options: - service account if property access allows it - OAuth if direct user-granted access is easier Likely primary endpoint: - GA4 Data API `runReport` ## Optional Phase 3: BigQuery export If the site needs deeper analytics, evaluate GA4 -> BigQuery export. Use cases: - custom funnels - event-level analysis - cohorts - attribution investigations - joining GA4 with content or CRM data ## Technical notes GA4 official references: - Data API overview: https://developers.google.com/analytics/devguides/reporting/data/v1 - `runReport`: https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport - BigQuery export: https://support.google.com/analytics/answer/9358801 ## Proposed local deliverables - [ ] `scripts/ga4_report.py` or equivalent - [ ] `docs/analytics/ga4-setup.md` - [ ] `docs/analytics/ga4-report-recipes.md` - [ ] support for `.env` configuration of `GA4_PROPERTY_ID` - [ ] support for export to CSV - [ ] support for markdown summary output ## Questions to resolve - [ ] Which GA4 property is in scope? - [ ] Is service-account access possible for that property? - [ ] Are conversions / key events already configured correctly? - [ ] Is BigQuery export already enabled? - [ ] Should the first version live in this repo or in a shared tooling repo? ## Acceptance criteria - [ ] Codex can analyze a manually exported GA4 CSV with a documented workflow - [ ] Codex can query at least one useful GA4 report directly by API from this machine - [ ] The setup is documented clearly enough to repeat without rediscovering credentials and steps - [ ] At least 3 reusable report recipes exist: traffic overview, landing pages, source-medium
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Reference: rafa/feadulta#16
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