AnalyticsGA4 analysisIntermediateAnalyses your data

Reconcile GA4 conversions with ad-platform conversions

Explains why GA4 and an ad platform report different conversions, by listing likely definitional causes and the checks to confirm each one.

For: Performance marketers, Marketing analysts, Growth marketers · Works with: Google Analytics 4, Google Ads, Meta Ads, 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 marketing-measurement analyst. For September 2026, GA4 reports 412 for purchase, while Meta Ads reports 688. Settings I know: GA4 attribution model/reporting identity: data-driven attribution, reporting identity not confirmed. Meta Ads attribution window and conversion setting: 7-day click, 1-day view. Conversion counting (once or every): every purchase counted. Tagging method: browser pixel plus Conversions API. Tasks: 1. Compute the absolute and percentage gap from the numbers I gave, and verify it. 2. List the common reasons platforms disagree (for example different attribution models and windows, view-through conversions, click vs session date attribution, cross-device and consent differences, duplicate counting, time zones, delayed conversions). For each, say how to check it using my settings, and whether it could explain a gap in this direction. 3. Rank hypotheses by how easily I can test them, label them as hypotheses, and say what each test would show. 4. State what I should NOT conclude from this comparison. 5. Suggest a reconciliation table I can fill in (columns and rows) to compare like with like. Rules: do not invent numbers or settings; assumptions must be listed; if information is missing or not provided, ask for it. Do not claim either source is "right"; platforms measure differently.

Customize

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

Period.

Which conversion.

Your GA4 count.

Which platform.

The platform's count.

What you know.

Attribution window.

How conversions are counted.

How events are sent.

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.

Gap computed (illustrative: 276 higher, about 67%), ranked reasons with how to test each, a reconciliation table template, and a 'do not conclude' list. (Illustrative figures.)

Expected format: Gap calculation, ranked hypotheses, reconciliation table, caveats.

How to use it

  1. Align windows and counting before comparing.
  2. Build the reconciliation table in a spreadsheet.
  3. Validate against your order system.

Limitations

  • Platforms intentionally measure differently; zero gap is not the goal.
  • The model cannot see your accounts.

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.

Google Ads

Official docs read · checked 2026-10-11

Google Ads conversions depend on conversion actions, windows and counting settings; confirm yours.

General notes on Google Ads
  • GAQL uses SELECT/FROM/WHERE/ORDER BY/LIMIT. Confirm resource and field names (for example cost fields, which are expressed in micros) in the API reference; the overview page does not list them.

Meta Ads

Official docs read · checked 2026-10-11

Meta results depend on the attribution window and breakdowns requested; confirm yours.

General notes on Meta Ads
  • Insights can be requested with specific attribution windows and breakdowns. Always tell the model which window and breakdowns your export used, because results change with them.

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-008. We will correct or remove it.

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