google-ads-pmax

Analyzing Performance Max campaigns for intent contamination requires MCP-connected accounts or validated manual exports to surface cannibalization insights and generate structured optimization drafts.

Intent contamination in Google Ads PMax occurs when campaigns capture irrelevant search demand, which you can identify by analyzing live MCP data or manual exports to surface weak control surfaces and structural issues.

You can analyze PMax campaigns without MCP access by providing validated manual data exports, which allows the analysis to surface cannibalization insights and generate structure drafts and guardrails for optimization.

Stopping PMax cannibalization involves analyzing campaigns to identify overlapping intent and weak control surfaces, then applying structured drafts and negative changes to enforce guardrails and separate demand capture.

To format PMax analysis outputs for workspace updates, you need references to the operator thesis, intent map, and structure playbook to generate structured drafts and guardrails for optimization decisions.

The primary limitation of analyzing PMax campaign performance is campaign opacity, requiring reliance on MCP data or validated exports and reference playbooks to infer intent mapping and generate structural guardrails.