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Measurement · Conversions

Modelled conversions in ChatGPT ads: how to sanity-check them

Ad platforms fill gaps in measurement with modelled conversions: estimates of conversions they couldn't observe directly. They're useful for bidding, less useful for proving value. Compare platform conversions with your CRM every week and trust the CRM when they disagree.

Updated 11 October 20263 min readBy Answerbid

Why counts differ

  • Consent: visitors who decline tracking can't be observed.
  • Devices: a click on a phone and a form on a laptop.
  • Windows: the platform credits within its window; your CRM may not.
  • Modelling: estimates added where data is missing.

A weekly check

Week Platform conversions CRM leads with ChatGPT ads source Gap
1
2

A steady gap is normal; a growing gap means something changed in tracking.

Make server events count

Send confirmed leads through the Conversions API with the same event ID as the pixel, so OpenAI can deduplicate, and include the oppref click identifier when you have it.

Signs tracking broke

  • Platform conversions drop to zero overnight.
  • CRM leads from ChatGPT ads continue while platform conversions stop.
  • Conversions double without a change in leads, which usually means duplicates.

Questions

Are modelled conversions bad?

No. They help bidding when data is missing. Just don't treat them as counted leads.

Should we report platform conversions to leadership?

Report CRM leads and meetings. Keep platform conversions for campaign optimisation.

How do we reduce the gap?

Use the Conversions API, send event IDs for deduplication and pass the click identifier.

Why B2B teams feel the gap more

Modelling works best with volume. A retailer with thousands of daily orders gives an ad platform plenty to learn from; a B2B company with ten demo requests a month doesn't. Small numbers make modelled figures jumpy, and a single estimate can look like a meaningful change.

That doesn't make the platform wrong. It makes the CRM the better place to judge results. Use platform conversions to steer bids and spot sudden drops; use CRM leads, meetings and pipeline to decide whether the campaign is worth its cost.

A reporting rule that avoids arguments

Agree upfront which number answers which question:

Question Number to use
Is tracking working? Platform conversions vs CRM leads, weekly
Which ad group should get more budget? In-profile companies and meetings
Is the channel worth it? Pipeline and revenue from the CRM

Start here: AI ads for B2B. More articles in Measurement and reporting.

Sources

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