ADS·Google Ads·warning

Account-Wide Attribution Chaos

This account uses many different attribution models across its conversion actions. Last-Click, Position-Based, Data-Driven, Linear, Time-Decay. Without a discernible governance pattern. Account-level reports that mix these are not interpretable; campaign decisions made against the mixed signal are unreliable.

CL
By Christopher LandaverdeCreator of AdLint · ad-tech tracking specialistUpdated

Why It Matters

A single account using multiple attribution models can be intentional (Data-Driven for the high-volume macro action, simpler models for low-volume diagnostics). But when more than three models appear with no apparent rationale, the account has accumulated attribution debt. Every team member added a model that made sense to them, none cleaned up. The downstream effects are real: campaign reports rolling up multiple actions blend their attribution logic, period-over-period comparisons are unreliable, and Smart Bidding learns from a signal whose model assumptions are inconsistent.

How To Fix It

  1. Audit each enabled Primary action and its current attribution model.
  2. Decide an account-level attribution philosophy: Data-Driven for all eligible actions, with a documented fallback (Position-Based or Linear) for actions that do not yet qualify.
  3. Update every action to either the chosen primary model or the documented fallback.
  4. Archive or document any actions that need a non-standard model with a written justification in the Description field.
  5. Add attribution-model auditing to the team's quarterly governance cycle.

Example

Configuration
Current account models:
  Purchase: Data-Driven
  Lead: Last-Click
  Demo Request: Position-Based
  Sign-up: Linear
  Phone Call: Time-Decay
Fix: standardise on Data-Driven, fall back to Position-Based for low-volume actions, document any exceptions.
For Your Client Report

Google Ads accounts using multiple attribution models across conversion actions without a discernible governance pattern. Google's attribution documentation, mixed-model accounts produce incoherent portfolio-level reports and unreliable Smart Bidding signal. Fix: standardise on a single primary attribution model with a documented fallback, update each action, and add attribution to quarterly governance review. Source: support.google.com/google-ads/answer/6394265.

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

References

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