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Performance Max can scale efficiently, but only when inputs are engineered deliberately. In our 2025 audit sample of 22 PMax accounts, introducing brand controls and intent-based asset grouping reduced wasted spend by a median 17% in 6 weeks. Without clean audience signals, asset grouping, and brand controls, PMax often over-credits easy conversions and hides inefficiency.
One message theme per group. Avoid mixing unrelated offers.
Use customer lists, engaged visitors, and high-value lookalike behavior inputs.
Keep strategic search campaigns active and apply brand exclusions where appropriate.
Measure incrementality, not just platform-attributed conversions.
Execution benchmark from our management playbooks: if PMax share rises above ~60% of spend while non-brand search volume remains under-controlled, attribution inflation risk increases quickly. Keep explicit non-brand search coverage to preserve measurement clarity.
PMax should support, not replace, strategic search and content demand capture. Pair with PPC campaign management, creative/content operations, and structured search architecture. Then govern budget mix through PPC budget optimization rules.
After baseline tracking, conversion quality controls, and creative asset readiness are in place.
Possible, but usually suboptimal. Provide intentional video assets instead of auto-generated placeholders.
If your PMax performance is hard to explain, run a joint audit with our PPC specialists and compare outcomes with the fintech growth case.
Curated references used for this topic:
We build high-performance asset groups and custom scripts to extract data from the black box.