ADS·Google Ads·info

Value Consistency Within Category

Within a single Google Ads conversion category (e.g. "Lead" or "Sign-up"), individual actions report values that vary materially. This may be intentional (different lead types have different qualified-revenue contributions) or a sign of inconsistent value methodology across actions.

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By Christopher LandaverdeCreator of AdLint · ad-tech tracking specialistUpdated

Why It Matters

A consistent value methodology across actions within a category is what makes category-level reporting interpretable. When "Lead. Demo" reports $200 and "Lead. Whitepaper" reports $10, the category-aggregate "Lead value" is dominated by whichever lead type fires most often. Usually the cheaper one. And obscures the contribution of higher-value leads. The check is info-level because mixed values are sometimes intentional (genuinely different lead types), but they should be documented if so. When the variation is unintentional (one team set the value, another did not, a third copied from a sale template), the category-level reports become misleading.

How To Fix It

  1. AdLint's details list each category with high value variance and the contributing actions.
  2. For each, document the intended value methodology: is each lead type genuinely worth a different amount (then keep the variance and document the per-action calculation), or should they all be normalised to a category-level standard?
  3. Where normalisation is appropriate, update each action's value to the agreed methodology.
  4. Document the per-category value methodology in team measurement materials.

Example

Configuration
Category: Lead
Actions:
  Lead. Demo: $200
  Lead. Whitepaper: $10
  Lead. Newsletter: $1
Decision: keep variance (documented). Each lead type has materially different close rate.
For Your Client Report

High value variance within Google Ads conversion categories. Google's value-based bidding documentation, within-category value variance should reflect an intentional and documented methodology, not accidental inconsistency. Variance without documented intent makes category-aggregate reports misleading. Fix: document per-category value methodology or normalise actions within categories. Source: support.google.com/google-ads/answer/13064107.

Drop this paragraph into your client deliverable. Sources back to the canonical platform documentation linked below.

References

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