How to Monitor and Optimize These Campaigns
Unlike Search campaigns, Performance Max doesn't give you full transparency at the keyword or placement level. But that doesn't mean you can't optimize effectively.
Key Points:
- Reporting limitations: You won't see keyword-level or placement data, but you can track performance by asset group, audience signal, geography, device, and overall ROAS or CPA;
- Google rates creative assets as Best, Good, or Low. Replace “Low” performers regularly and refresh creative to keep the algorithm learning;
- Audience signals act as guidance to the system. If performance is weak, test new signals (like remarketing lists, GA4 predictive audiences, or Custom Segments) while keeping changes gradual;
- Budget adjustments should be modest (no more than 20% at a time) to avoid resetting the learning phase. Always allow 7–10 days before judging new changes;
- If a campaign underperforms significantly, consider pausing weak asset groups, tightening audience signals, or even relaunching with improved creative. Splitting into multiple PMax campaigns by product/service line can also help maintain focus;
- PMax thrives on stability and consistent inputs, but you can still guide it by replacing poor assets, refining audience signals, and ensuring your product feed or creative library is top-quality.
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Can you explain more about how to use audience signals effectively in Performance Max?
What are some examples of creative assets that typically perform well in PMax campaigns?
How do I know when it's time to split my Performance Max campaign into multiple campaigns?
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Completion rate improved to 2.63How to Monitor and Optimize These Campaigns
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Unlike Search campaigns, Performance Max doesn't give you full transparency at the keyword or placement level. But that doesn't mean you can't optimize effectively.
Key Points:
- Reporting limitations: You won't see keyword-level or placement data, but you can track performance by asset group, audience signal, geography, device, and overall ROAS or CPA;
- Google rates creative assets as Best, Good, or Low. Replace “Low” performers regularly and refresh creative to keep the algorithm learning;
- Audience signals act as guidance to the system. If performance is weak, test new signals (like remarketing lists, GA4 predictive audiences, or Custom Segments) while keeping changes gradual;
- Budget adjustments should be modest (no more than 20% at a time) to avoid resetting the learning phase. Always allow 7–10 days before judging new changes;
- If a campaign underperforms significantly, consider pausing weak asset groups, tightening audience signals, or even relaunching with improved creative. Splitting into multiple PMax campaigns by product/service line can also help maintain focus;
- PMax thrives on stability and consistent inputs, but you can still guide it by replacing poor assets, refining audience signals, and ensuring your product feed or creative library is top-quality.
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