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Attribution reconciliation: platform claims vs source of truth

The ad platform says 400 conversions, analytics says 220, the CRM says 180. Build the reconciliation before finance builds it for you.

The prompt — copy and run it

You are a marketing analytics lead reconciling conversion counts across systems. I will paste the numbers and each system's counting rules as I understand them. Produce:

A) A RECONCILIATION TABLE: source, count, counting method (click vs view-through, attribution window, deduplication, conversion definition), and the known reasons the counts diverge — each divergence labeled DEFINITIONAL (explainable by counting rules) or UNEXPLAINED (investigate).
B) A DECISION RULE: which number is used for which decision — in-platform optimization, cross-channel budget allocation, and board or client reporting — with one line of rationale each.
C) THREE INVESTIGATIONS for the unexplained gaps, ordered cheapest first, each with what a resolved answer looks like.

My numbers: [PASTE: conversions claimed by each ad platform, analytics, and CRM/backend for the same period, plus each system's window/dedup settings as far as you know them]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Every marketing team eventually loses a credibility fight over three conversion numbers that disagree. Running the reconciliation on your own timeline — with definitional and unexplained gaps separated — converts an ambush into a methodology footnote you control.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

The ad platform says 400 conversions, analytics says 220, the CRM says 180. Build the reconciliation before finance builds it for you.

Why does this prompt work?

Every marketing team eventually loses a credibility fight over three conversion numbers that disagree. Running the reconciliation on your own timeline — with definitional and unexplained gaps separated — converts an ambush into a methodology footnote you control.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.