Google Performance Max Ads
About this course
This lesson covers how to optimize and scale your Performance Max (PMax) campaigns after launch. Once you’ve allowed 30–60 days for Google’s machine learning to stabilize—or gathered at least 50 conversions—you can begin evaluating campaign health. Key performance metrics such as impressions, clicks, CTR, conversions, CPA, ROAS, and conversion rate help you determine if your campaign is meeting profitability targets. From there, you’ll use the Asset Groups breakdown to identify top-performing creatives, remove weak assets, and refine messaging. The Insights tab provides additional audience and asset overlap data, while device and location reports highlight opportunities to cut inefficiencies and focus spend where results are strongest.
Once optimization confirms that your PMax campaign is profitable (e.g., CPA ≤$50, ROAS ≥300%), the next step is scaling strategically. This means gradually increasing your budget in 20–50% increments, expanding into new locations, audiences, and devices, and adding fresh creative assets to test. Scaling should always be monitored against key profitability thresholds, pausing growth if costs rise above acceptable levels. With this disciplined approach, PMax allows startups to leverage Google’s AI-driven optimization across multiple channels, maximizing conversions and ROI while minimizing manual effort. Ultimately, your role is to feed the algorithm quality inputs and let it amplify results.