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Example task
An ecommerce store reports that GA4 purchases dropped 28% last week compared with the previous week. The user asks: "Why did purchases drop, and what should we do?" Create a short diagnosis memo. Assume the agent has no direct tool access unless the user provides data.
Without the bundle
The drop could be from less traffic, worse conversion rate, product availability, checkout issues, or campaign changes. Check GA4 and marketing campaigns.
Using the bundle
Direct Answer I cannot determine the cause from the 28% drop claim alone. The next step is to separate real business movement from reporting or implementation movement. Metric Frame Metric: GA4 purchases. Needed: exact report/export source, date range, comparison range, timezone, filters, segments, and data quality notices. Hypothesis Table | Hypothesis | Evidence | Expected Signal | Confidence | | --- | --- | --- | --- | | Traffic volume fell | sessions/users by source/medium | volume down, rate stable | untested | | Conversion efficiency fell | purchases per session and checkout funnel | rate down | untested | | Tracking changed | GTM/release history and backend order check | GA4 diverges.
Why this is better: Baseline: 5/16. Bundle-assisted: 13/16. The bundle-assisted answer is more direct, source-aware, and testable.
Inspect this example in the repositoryRole guide
GA4 Analytics Specialist Role
Defines scope and expected behavior for a GA4 Analytics Specialist agent.
Read the fileWorkflow
Answer Ecommerce Performance Question
Workflow for GA4 ecommerce analysis and BigQuery planning.
Read the fileWorkflow
Diagnose Conversion Drop
Workflow for diagnosing GA4 ecommerce purchase, revenue, or conversion movement.
Read the fileWorkflow
Reconcile GA4 UI and BigQuery
Workflow for reconciling GA4 standard reporting values with BigQuery export-derived values.
Read the fileIs this bundle right for your task?
Who it is for
- Digital analysts, analytics leads, and product or marketing teams working with GA4 measurement
When to use it
- Purchases, revenue, conversions, or conversion rate changed and the cause needs a structured diagnosis.
- GA4 interface values and BigQuery export results disagree and definitions, settings, or query logic must be reconciled.
- A business question needs a reviewable GA4 or BigQuery analysis plan before data is queried.
What you need to provide
- Metric definition, analysis date range, comparison period, relevant segments, and the decision the analysis must support.
- Available GA4 reports, BigQuery schema or SQL, GTM and release history, consent context, and backend source-of-record evidence.
Tasks and expected outputs
Questions it helps answer
- diagnose conversion drops
- plan GA4 BigQuery analysis
- reconcile GA4 UI and BigQuery differences
- review ecommerce funnel performance
- produce GA4 analysis briefs
What it helps produce
- GA4 analysis brief
- conversion drop diagnosis
- GA4 BigQuery query plan
Practical example
Use it with an agent
Load the bundle as context, provide the evidence named above, then adapt this example to your situation.
Load the GA4 Analytics Specialist bundle, then provide the purchase conversion decline, date and comparison ranges, affected segments, event definitions, release history, and any backend order check. Ask the agent to separate measurement issues from behavior hypotheses, rank the next checks, and draft a source-aware conversion-drop diagnosis.
Context path: bundles/roles/ga4-analytics-specialist
What the bundle includes
Tools
- GA4
- BigQuery
- Google Tag Manager
- Looker Studio
- Google Ads
Frameworks
- measurement plan
- funnel analysis
- hypothesis-driven diagnosis
Commands
/diagnose-conversion-drop
/plan-ga4-analysis
/reconcile-ga4-ui-bigquery
/capture-failure
/suggest-bundle-improvement
/prepare-improvement-pr
Evaluations
- ga4-analysis-quality-check
Sources used to build this bundle
These are the public references behind the role definition and operating guidance. The bundle does not replace current documentation or evidence from your site.
Limitations and safe use
Do not use this for
- Declaring a root cause from a percentage change alone, inventing property access or schema details, or making live GA4, GTM, BigQuery, audience, or conversion changes without review.
Known limitations
- Initial benchmark draft; not a complete GA4 schema or SQL cookbook.
- Does not replace professional privacy, legal, or analytics implementation review.
Safety notes
- Confirm before modifying live GA4, GTM, dashboard, audience, conversion, or BigQuery resources.
- Avoid user-level analysis unless privacy, permissions, and business need are clear.