AnalyticsTracking, UTMs and data qualityIntermediateBuilds a checklist

GA4 event and conversion tracking audit from an event list

Reviews your event list and key-event setup for naming, duplication, missing parameters and gaps against a measurement plan.

For: Performance marketers, Marketing analysts, Growth marketers · Works with: Google Analytics 4, Any capable chat model (ChatGPT, Claude, Gemini, others)

Public beta. This prompt was drafted with AI assistance and checked by automated rules, but it has not been reviewed or tested by a person yet. Treat it as a starting point and check the output. It is hidden from search engines while in beta. Use the “Was this prompt useful?” box to tell us what works.

Your prompt

Act as a GA4 measurement consultant. Audit the event and key-event setup below against my measurement plan. Business model: B2B SaaS with a free trial and sales-assisted upgrade. Measurement plan (what we need to measure): signups, trial activation, demo requests, upgrade, key feature usage. Current events and key events (name | description | parameters | marked as key event?): sign_up | account created | method | yes trial_start | trial begins | plan | yes click | all clicks | link_url | no demo_request | demo form submit | form_id | yes buttonClick | CTA click | text | no Deliver: 1. Assumptions you are making about the setup. 2. Naming and structure issues (inconsistent names, near-duplicates, events carrying data that belongs in parameters). 3. Gaps: measurement-plan items with no matching event, and events with no plan item. 4. Risks of double counting or counting the wrong thing for each key event. 5. A prioritised fix list with a verification step for each fix (how I confirm it works, for example DebugView). 6. A list of anything you cannot judge without seeing the real implementation. Rules: do not invent events, parameters or GA4 features that I did not mention; if you are unsure whether a GA4 feature exists or behaves a certain way, say so and tell me to confirm in Google's documentation. Verify that your recommendations are consistent with the list I gave. Say what is missing instead of guessing.

Customize

The fields start with example values so you can see how the prompt works. Everything stays in your browser.

How you make money.

What must be measured.

One event per line. The default is small fictional sample data so the preview works; replace it with your own export.

Example of what to expect

Illustrative only. It describes the kind of result this prompt aims for; real output varies by tool, model and run.

An assumptions list, naming issues (for example 'click' vs 'buttonClick'), gaps against the measurement plan, double-counting risks, a prioritised fix list with DebugView-style verification steps. (Illustrative.)

Expected format: Issues list, gaps, risks, prioritised fixes with verification steps.

How to use it

  1. Export your event list from GA4 or your tag manager.
  2. Verify each suggested fix in a test environment.
  3. Update your measurement plan alongside the changes.

Limitations

  • The model cannot inspect your live implementation; it only reviews the list.
  • GA4 features change; confirm behaviours in Google's current documentation.

Platform notes

Google Analytics 4

Official docs read · checked 2026-10-11

GA4 exports and the interface can differ (sampling, thresholds, attribution, data freshness). State which one your numbers came from.

General notes on Google Analytics 4
  • The BigQuery export has daily events_YYYYMMDD tables and intraday tables; intraday lacks some fields, and late-arriving data can update a daily table for up to 3 days.
  • Exported data and the GA4 interface can differ; the export documentation links to separate comparison articles that we did not read.

Any capable chat model (ChatGPT, Claude, Gemini, others)

Official docs read · checked 2026-10-11

Works in any capable chat model. Paste a small anonymised export and recompute the key numbers yourself: chat models can misread columns or miscalculate.

General notes on Any capable chat model (ChatGPT, Claude, Gemini, others)
  • These prompts are plain text and work in any chat assistant. For analytics prompts, paste a small, anonymised export; a chat model can misread columns or miscalculate, so recompute key numbers yourself.

Source, license and attribution

Origin
Original by MarketerTools
Publisher
MarketerTools
License
Original work by MarketerTools, free to copy and use. Informed by the linked documentation; no third-party text is reproduced.
Platform assumptions checked
2026-10-11

Documentation and references behind this prompt

These informed the structure and the platform notes. A reference is not a license, and no third-party prompt text is copied here.

Spotted an attribution error, or are you a source owner with a request? Use the chat button at the bottom right and quote prompt ID ana-005. We will correct or remove it.

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