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AI agent for vp of marketings

Marketing Attribution Reconciliation Agent

Produce channel conversion figures that tie to billing within a set margin, with gaps explained.

Marketing Attribution Reconciliation Agent: what goes in, what the agent does and what you get

What it does

Add up the conversions claimed by each ad platform and the total is higher than the sales your billing shows. Budget talks then rest on numbers nobody trusts. This agent compares conversions reported by each platform with CRM leads and billing orders for the same period. It finds where the gaps are, by channel, campaign and device, then tests the likely causes: double counting, tracking tags that fail, or different attribution windows. It proposes corrected figures and rechecks after each tracking fix. If the corrected total still does not match billing within the allowed margin, it keeps looking. Edge case: refunds can make billing lower than platforms, so it nets them out first. The VP approves what goes into the budget report.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Month closes or a gap alert fires 2 USES A TOOL Export conversions from each ad platform 3 USES A TOOL Pull CRM leads and billing orders net of refunds 4 DOES Compare totals by channel, campaign and device 5 DOES Test causes: duplicates, missing tags, attributionwindow differences 6 DOES Build corrected conversion figures 7 CHECKS THE RESULT Do corrected totals match billing within 5 percent? If not: widen the cause tests to include offline salesand delayed conversions. Back to step 4. 8 DOES List tracking fixes with an owner for each 9 USES A TOOL Recheck after fixes are made 10 YOU APPROVE VP approves figures for the budget report 11 RESULT Reconciled attribution report and fix list
Read the steps as a list
  1. Month closes or a gap alert fires
  2. Export conversions from each ad platform
  3. Pull CRM leads and billing orders net of refunds
  4. Compare totals by channel, campaign and device
  5. Test causes: duplicates, missing tags, attribution window differences
  6. Build corrected conversion figures
  7. Do corrected totals match billing within 5 percent?If not: widen the cause tests to include offline sales and delayed conversions. Back to step 4.
  8. List tracking fixes with an owner for each
  9. Recheck after fixes are made
  10. VP approves figures for the budget reportThe agent waits here for your OK.
  11. Reconciled attribution report and fix list

How it decides

It trusts billing as the total, then allocates it across channels using the platform data that survives the checks.

  • Treat billing net of refunds as the total
  • Flag any platform claiming over 10 percent more than matched orders
  • Count a conversion once when the same order id appears in two platforms
  • Hold a channel out of the report if its gap stays above 10 percent

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Allowed gap against billing (default 5 percent)
  • Attribution window per platform
  • Channels to include
  • Whether refunds are netted out
  • Report format for the budget review

What keeps you in control

It always asks you first

  • VP approves the corrected figures before they enter any budget report
  • Developer approves any change to tracking tags

Hard limits

  • Reads exports only, never edits ad accounts or tags
  • Marks any estimate clearly as an estimate

It stops when

  • Done: corrected totals tie to billing within the margin
  • Stop: billing data missing for part of the period

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensIn August, the ad platforms claimed 1,940 purchases and billing showed 1,420 after 38 refunds. The agent found 310 duplicates where the same order id came from search and social, and 90 test orders. Corrected total was 1,436, a 1 percent gap. After a tag fix on mobile checkout it rechecked, and the VP approved the report.

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