Insights from a Multi-Account Analysis

Performance Max has become a strategic pillar in Google Ads. It combines Search, Shopping, YouTube, Display and Discover into a single campaign and increasingly drives performance across automated and AI-powered placements. And for many advertisers, it is now a primary driver of results.

Google has recently introduced more visibility into how budget is distributed across channels. However, it has not provided direct controls to optimise or manage those channels individually.

Optimisation therefore happens indirectly. Advertisers can influence outcomes through levers such as negative keywords, audience signals, asset structure, customer settings and landing page controls.

This article explains how to use these levers based on observed channel distribution patterns.

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How to Optimize Performance Max Based on Three Channel Distribution Patterns

Across the accounts analysed, three recurring channel allocation patterns emerged. Each requires a different optimisation focus.

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1. Search-Dominant Distribution

(High existing demand)

In several accounts, the majority of conversions came from Search inventory. This typically occurred where users were already searching with clear transactional intent, including brand and competitor queries.

When this happens, Performance Max behaves primarily as a demand capture engine.

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How to optimise in this scenario

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- Control search expansion

• Review Search Term Insights weekly
  
  
• Add negatives for low-intent themes (e.g., “jobs”, “definition”, unrelated geos or products)
  
  
• Monitor competitor traffic and exclude if inefficient.
  
  

- Define brand strategy clearly

• Run Brand Search in a separate campaign.n
  
  
• Decide whether the brand should be excluded from PMax to focus on incremental growth.
  
  

- Measure incremental value

• Compare brand-included vs brand-excluded performance.
  
  
• Evaluate profitability, not just CPA.
  
  

In Search-dominant setups, optimisation is about governance and incrementality, not scale.

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2. YouTube / Display Expansion

(Exploratory or limited search demand)

In categories with lower eligible search volume or longer decision cycles, Performance Max allocated more budget to YouTube, Display,y and Discover.

CPA was typically higher, reflecting earlier-stage user intent.

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How to optimise in this scenario

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- Strengthen creative assets

• Provide at least one strong video asset (not only auto-generated)
  
  
• Align messaging with awareness vs conversion stages.
  
  

- Improve signal quality

• Optimise toward confirmed outcomes (e.g., booking confirmed, qualified lead)
  
  
• Avoid relying on weak micro-conversions unless strongly correlated with revenue.
  
  

- Guide traffic destination

• Use URL exclusions to avoid blog or informational pages.
  
  
• Structure asset groups by category or audience intent
  
  

- Continue search governance

• Even in upper-funnel expansion, negatives remain critical.
  
  

In expansion scenarios, optimisation is about signal strength and creative quality, not restricting channels prematurely.

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3. Balanced Multi-Channel Distribution

(High signal density and volume)

In accounts with strong conversion volume and structured data, Performance Max distributed spend efficiently across Search, Display, YouTube, and sometimes Shopping.

This pattern appeared in large e-commerce and high-volume platforms.

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How to optimise in this scenario

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- Structure campaigns intentionally

• Create separate PMax campaigns by product category, margin tie,r or objective. ve
  
  
• Use page feeds at the campaign level to control promoted URLs
  
  

- Refine asset groups

• Align asset groups with product lines or verticals.
  
  
• Avoid mixing unrelated products in the same learning set.
  
  

- Prioritise value signals

• Use revenue-based bidding where possible.e
  
  
• Import offline conversions if relevant. nt
  
  

- Monitor placement quality

• In Google Ads → Report Editor, use the template “Performance Max Campaigns Placement” to review websites, apps, and YouTube channels.
  
  
• Apply account-level exclusions for misaligned placements.
  
  

In balanced environments, optimisation focuses on structural clarity and value accuracy.

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What Channel Distribution Really Tells You

Channel mix is not random.

It reflects:

• Available search demand
  
  
• Conversion friction
  
  
• Creative strength
  
  
• Signal density
  
  
• Structural clarity
  
  

Instead of asking whether Performance Max “should” use a specific channel, advertisers should ask:

Given my current channel distribution, what signal or structural improvement would most impact efficiency?

Channel reporting makes this diagnosis possible.

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Conclusion: Optimisation Follows Distribution

Performance Max starts with understanding where the budget is flowing, and why.

From there, optimisation becomes concrete:

• Control search expansion
  
  
• Define brand and competitor strategy.
  
  
• Strengthen conversion signals
  
  
• Structure campaigns intentionally
  
  
• Monitor and exclude low-quality placements.s
  
  

Performance Max is no longer a black box.
With the right interpretation of channel distribution, it becomes a system that can be actively guided.

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