If you notice that the performance of your Performance Max (PMax) campaigns doesn’t match what you are spending, the problem often lies not just in return settings or assets, but in Google PMax ad placements where your ads may be unexpectedly shown. In this practical guide, I will share the method we actually use to identify and fix leaks without disabling the benefits of automation.
Key Learnings from Managing Performance Max Campaigns in Budget Protection
By managing multiple accounts, we have learned that PMax campaigns are excellent at converting signals into sales and leads, but we have also learned that they can automatically expand into ad inventory that does not serve quality goals. Therefore, we do not just monitor aggregate reports; instead, we believe in a short and repeated cycle: identifying low-quality placements → measuring their impact on conversions/actions → applying account-level exclusions → optimizing inputs (pages/signals). This approach makes automation work in our favor rather than draining us.
How to Stop Your Budget from Bleeding in Google PMax Ad Placements?
PMax campaigns run assets across multiple channels (Search, YouTube, Google Display Network, Gmail, and others) according to what the algorithm delivers. The problem arises when the algorithm decides to ensure a large volume of traffic even if its quality is poor. Here, Google PMax ad placements become like “leak zones” that require continuous monitoring.
Important Alert: Do not try to fix placements only at the campaign level in PMax; you will likely not gain complete direct control. It is better to focus exclusions at the account level based on what appears in the placements report.
1) Start from the Right Report Instead of Guessing
The first practical step we always take: open the dedicated placements report for Performance Max campaigns. Google does not always present it in a “clear and convenient” manner, so we follow a consistent path to find it quickly within the interface.
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Open Reports and then pre-defined reports.
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Go to a section related to Performance Max Campaign Placements.
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Select the “Others” category within the placements view if available, then review the list.
Our advice: do not focus solely on the number of clicks. Also monitor indicators like cost per click versus whether those visits convert to the desired action (purchase/request/signup).
2) Look for “Zombie Placements”: High Density and No Value Clicks
In many of the accounts we have dealt with, low-quality placements share a similar pattern: repeated appearances, high clicks that seem elevated, but conversions are very low or non-existent. These placements are often associated with annoying game apps, utility apps, or content that is not suitable for the target audience (and sometimes content that focuses on children or exceeds brand context).
The result is that these clicks may be “accidental”: a user trying to close a pop-up ad, or a child pressing the device’s screen, or someone opening a page unrelated to what you are selling. Therefore, Google PMax ad placements are a cost trap if not monitored regularly.
3) Sort Placements by Impressions and Start Filtering the Weakest
After extracting the report, treat it like a checklist. We arrange the results by impressions and isolate any placement that achieves high visits with weak conversion results. If there are no conversions or they are negligible compared to the cost, its presence becomes a financial risk.
To clarify practically, if you see placements that are irrelevant to your activity (like game apps that consume time without a purchasing path), consider them candidates for exclusion. You do not need to wait until “the full picture becomes clear” for a whole month; it is sufficient to make a decision based on enough data to justify exclusion.
And to ensure you are dealing with automation with a systematic mindset, also review our guide on changing the rules of the game when you notice a decline in performance, via 2024 Game-Changing Lessons to Unleash.
4) Use the Right Exclusions at the Account Level
In PMax, you cannot always exclude placements directly at a specific campaign level in the way we are accustomed to in other campaign types. Therefore, we go directly to account settings and add exclusions based on links/unhelpful app categories.
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Extract the links/app categories from the placements report.
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Prepare a list of exclusions based on impression frequency and weak conversions.
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Apply it within the account-level placement exclusion list.
The goal here is not to “block everything,” but to reduce the space the algorithm turns to when looking for a large volume. This leaves it with a cleaner scope to find placements closer to the real customer.
If you want an organized way to build an administrative logic within the account (especially when you have only one conversion signal), leveraging Google Ads Tip #1 not to Undermine a Campaign helps you understand why the numbers may look good while the signal quality is insufficient.
5) Don’t Just Exclude: Clean Up the Signals the Algorithm Relies On
Exclusions are a necessary defensive step, but they are not the only solution. When you block poor inventory, the algorithm will need new “space” that aligns with user behavior. Therefore, we are optimizing the landing pages and re-confirming that:
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The landing page accurately reflects the offer (no unrelated general promises).
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The conversion form (purchase/request/signup) is clear and as simple as possible.
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Conversion signals are measured correctly, covering what you consider a true target.
In some cases, we readjust audience/observation usage because the signal quality affects the behavior of PMax. You can refer to Google Ads Audience Observation Benefits as a reference to help you think practically about how to support the algorithm with better signals.
Pro Tip: Before adding numerous exclusions at once, implement gradual changes. Monitor the impact of exclusions after modifying the cost of action and the quality of conversion. This approach prevents surprises and helps you understand what was truly causing wastage within Google PMax ad placements.
And since we are talking about “apps and places” that may be annoying, you will often notice a density of unsuitable placements in PMax reports when reviewed properly. We practically call them “zombies” because they tend to resurrect if not excluded or if your overall signal remains inaccurate. Thus, consistency is more important than a single decision.
Conclusion: What Will We Do with Google PMax Ad Placements Starting Today?
If your budget is evaporating without compelling conversions, the reason often lies in Google PMax ad placements leading to worthless clicks or visits that do not get you closer to your goal. The solution we recommend is a simple cycle: correctly extract the placements report, identify low-quality placements through conversion and cost ratios, then gradually apply account-level placement exclusions while supporting the algorithm with conversion signals and landing pages closer to the real customer. Start today by auditing the report and identify the first set of placements earmarked for exclusion.
Frequently Asked Questions
Can I completely disable the Display Network within PMax campaigns?
No, PMax campaigns rely on automation and work across multiple channels, and do not give you complete control over the “disable” logic of the display network as in some other types of campaigns. Therefore, we handle the issue practically by monitoring Google PMax ad placements and then adding account-level placement exclusions, so we reduce low-quality inventory without disrupting the campaign’s ability to reach potential users.
How do I know if a placement is draining my budget even if the click count is high?
Consider a placement a “problem” when you see weak quality indicators: high clicks or a click cost that doesn’t seem bad, but conversions (or the desired action) are very low compared to the cost. Also, monitor impression frequency against any real progress within the customer journey. You will usually find that annoying app placements or unrelated pages achieve formal engagement that does not translate into results.
How often should I review the PMax placements report and apply exclusions?
Depending on the market nature and your budget size, we recommend periodic reviews of at least once every two weeks at the beginning of adjustments, then monthly after performance stabilizes. The reason is that the algorithm may automatically change the direction of impressions over time, especially if the campaign is looking for volume. Regular review means you prevent the “return of zombies” rather than dealing with wastage once it escalates.