Google Ads Device Targeting for Performance Max

Performance Max campaigns have revolutionized how advertisers reach audiences across Google's entire ecosystem--from Search to YouTube to Display to Maps. Yet one persistent limitation has frustrated marketers seeking granular control: the inability to specify which devices should receive their ads. That changed in 2025 when Google introduced device targeting for Performance Max, giving advertisers unprecedented control over their AI-powered campaigns.

This guide explores how to leverage this powerful feature to optimize your paid advertising strategy, maximize ROI, and ensure your message reaches the right audience on the right device at the right time.

What Is Device Targeting in Performance Max?

Performance Max campaigns operate fundamentally differently from conventional campaign types. In standard Search or Display campaigns, advertisers can manually adjust bids by device, exclude certain devices entirely, or apply device-specific modifications. Performance Max, by contrast, uses Google's machine learning to automatically distribute budget across inventory sources and audience signals to maximize conversion value.

Device targeting introduces a new dimension of control to this AI-driven ecosystem. Rather than allowing Google's algorithms complete autonomy over device distribution, advertisers can now specify which device types should receive their ads--and which should not. According to Google's official documentation, this operates through include and exclude controls rather than bid modifiers, meaning you can choose to show ads only on certain devices or prevent ads from appearing on others entirely.

The strategic implications are significant. A B2B software company might determine that their enterprise clients predominantly make purchasing decisions on desktop computers, making mobile and tablet impressions inefficient. An e-commerce retailer might find that while mobile traffic is high, desktop users exhibit higher average order values. A mobile game developer might want to exclude users on smaller phone screens in favor of tablets and TVs where the gaming experience is superior.

Why Device Targeting Matters for Performance Max

Before device targeting, Performance Max advertisers had no mechanism to influence device distribution. Google's AI would allocate impressions based on predicted conversion likelihood, but advertisers had no way to align these allocations with their business knowledge or strategic priorities. Device targeting addresses this gap, enabling marketers to combine AI automation with human strategic insight.

This feature matters particularly because device behavior varies dramatically across industries, audiences, and conversion patterns. Mobile users might browse extensively but complete purchases on desktop. Tablet users might engage with content differently than smartphone users. Connected TV audiences might have different intent signals entirely. Device targeting allows advertisers to account for these nuances while still benefiting from Performance Max's automated asset optimization and audience expansion capabilities.

For businesses investing in comprehensive digital marketing, understanding how device targeting fits into broader strategy ensures that paid media investments align with how target audiences actually discover and engage with brands across their customer journey.

Device Types Available for Targeting

Google's device targeting for Performance Max encompasses four distinct categories, each representing a unique advertising environment with different user behaviors, screen sizes, and conversion patterns.

Mobile Devices

Mobile devices represent the largest segment of internet traffic globally and typically dominate Performance Max impression volume. Mobile users often browse extensively, researching products and services across multiple sessions. However, conversion rates vary significantly by industry and business model. For mobile advertising to succeed, your landing pages must be optimized for smaller screens and touch interactions. Mobile users frequently engage with local intent searches and expect fast-loading, mobile-friendly experiences.

Desktop Computers

Desktop computers remain the primary device for complex purchasing decisions, extended research sessions, and B2B transactions. Desktop users typically have larger screens enabling detailed product comparison, form completion, and multi-tab browsing. For high-consideration purchases--enterprise software, professional services, real estate--desktop typically drives the majority of qualified leads. This is particularly relevant for B2B companies working with longer sales cycles and multiple stakeholders.

Tablets

Tablets occupy a middle ground between mobile convenience and desktop screen real estate. Tablet users often engage in extended browsing sessions similar to desktop but with touch-based interaction. Tablets are particularly relevant for content consumption, entertainment applications, and certain e-commerce categories. The tablet audience often includes users in relaxed environments who engage more deeply with detailed content.

Connected TVs and TV Streaming Devices

Connected TVs represent the newest frontier in digital advertising and require distinct strategic considerations. CTV viewers engage with long-form content in living room environments, creating opportunities for brand awareness campaigns. As noted in Search Engine Land's coverage of the feature announcement, Performance Max campaigns on CTV can reach audiences during streaming sessions, but conversion attribution differs from other device types. For businesses with longer sales cycles, CTV can build awareness that later converts through other devices.

Companies investing in AI-powered marketing automation can leverage device targeting data across these device types to create more sophisticated audience segments and personalized ad experiences that adapt to each platform's unique characteristics.

Setting Up Device Targeting in Your Performance Max Campaigns

Accessing device targeting controls requires navigation through the Performance Max campaign interface. Within your Google Ads account, select the Performance Max campaign you wish to modify, then navigate to the "Settings" tab. Look for the "Device targeting" section, which enables both include and exclude controls for each device category.

When setting up device targeting, you choose between inclusion and exclusion strategies:

• Inclusion targeting means your ads will only show on the selected devices--this creates the most restrictive approach
• Exclusion targeting means your ads will show everywhere except the selected devices, which can be useful for testing or gradual optimization

Pre-Implementation Checklist

Before implementing device targeting, establish baseline performance metrics for each device category. Review your conversion data across devices for the past 30-90 days, paying attention to:

• Conversion rate by device
• Cost per conversion by device
• Conversion value by device
• Impression share by device

This historical analysis provides the foundation for informed targeting decisions. If you lack sufficient conversion data, consider running a device-segmented test before implementing broad targeting changes.

Implementation Best Practices

Implementation should proceed gradually, especially for campaigns with significant spend:

1. Start by excluding devices with clearly underperforming metrics
2. Monitor results for 1-2 weeks before making additional changes
3. Allow Performance Max's learning period to stabilize after each change
4. Measure impact against pre-change baselines rather than immediate post-change performance

Remember that Performance Max campaigns require time to optimize after any significant change. Dramatic device targeting modifications can disrupt established learning patterns, potentially degrading overall performance temporarily. Partnering with specialists in paid advertising can help navigate these optimizations effectively.

Best Practices for Different Business Types

B2B Companies and Professional Services

B2B advertisers face unique device targeting considerations because complex business decisions rarely occur on mobile devices. Enterprise software purchases, professional services engagements, and B2B transactions typically involve multiple stakeholders, extended evaluation periods, and detailed proposal review--all activities that favor desktop environments.

B2B advertisers should consider prioritizing desktop while potentially excluding mobile and tablet from Performance Max targeting, particularly for high-value product lines. However, mobile devices play important roles in B2B customer journeys, including initial research and email engagement. Rather than wholesale mobile exclusion, consider moderation rather than complete exclusion. Mobile might contribute to awareness that later converts on desktop.

E-Commerce and Retail

E-commerce advertisers should approach device targeting based on their specific product categories and customer behaviors. Fashion and consumer goods often see strong mobile performance, with many purchases completing on smartphone devices. Larger-ticket items, electronics, and home goods might show desktop dominance for research-intensive purchases. Analyze your own conversion data rather than applying generic assumptions.

Lead Generation and SaaS

Software-as-a-service and lead generation businesses should align device targeting with their funnel stages:

• Top-of-funnel: Consider broad device inclusion to maximize reach and awareness
• Mid-funnel: Prioritize desktop where users engage with detailed content and comparisons
• Bottom-funnel: Focus on devices where form completion and demo requests perform best

For SaaS companies with self-service models, mobile might be important for user acquisition, while enterprise-focused SaaS should prioritize desktop for demonstration requests and sales conversations. Integrating device targeting insights with AI-powered automation tools can help personalize the user experience across devices throughout the customer journey.

Strategic Use Cases and Examples

Software Company: Enterprise Solutions

A software company selling enterprise project management tools analyzes their data and finds that while mobile generates 60% of website traffic, 85% of demo requests come from desktop users. The enterprise buying committee conducts evaluations on work computers during business hours.

Strategy: Implement device targeting that includes only desktop computers for Performance Max campaigns focused on enterprise leads, redirecting budget from high-traffic, low-conversion mobile impressions toward the device where meaningful business decisions occur. This approach aligns paid advertising with actual buying committee behavior.

Restaurant Chain: Omnichannel Approach

A national restaurant chain uses Performance Max for both online orders and in-store visits. Mobile users frequently complete food orders through the app and search for nearby locations, while desktop traffic correlates with catering inquiries and large group reservations.

Strategy: Maintain broad device targeting while using location extensions and audience signals to differentiate between order-driving and visit-driving impressions. Mobile and desktop serve different but complementary objectives.

Mobile Gaming Company: Game-Specific Targeting

A mobile gaming company discovers their puzzle games perform excellently on tablets but poorly on smaller phones where users prefer action games. For hyper-casual games, mobile-first targeting performs best.

Strategy: Create separate Performance Max campaigns for different game categories with device targeting tailored to each--tablet-focused for puzzle games, mobile-focused for action games. This category-specific approach maximizes efficiency across diverse game portfolios.

Automotive Dealership: Research vs. Conversion

An automotive dealership finds Performance Max campaigns generate strong mobile engagement for research but desktop dominance for form submissions and phone calls.

Strategy: Implement device-specific landing pages optimized for each experience--mobile pages emphasizing quick VIN searches and payment calculators, desktop pages featuring detailed vehicle specifications and trade-in valuation tools. Device targeting supports these differentiated experiences. Ensuring your website development accounts for these device-specific experiences is critical for conversion optimization.

Common Mistakes and How to Avoid Them

Premature Exclusion Without Data

Many advertisers implement device exclusions based on assumptions rather than analysis. Mobile might underperform for direct conversions while contributing significantly to upper-funnel awareness. A user might discover your brand on mobile, research further on tablet, and convert on desktop.

Solution: Establish baseline metrics before implementing exclusions, and consider gradual exclusion rather than immediate removal. Review your conversion data across devices for the past 30-90 days before making changes.

Ignoring the Learning Period

Performance Max campaigns require time to optimize after any significant change. Dramatic device targeting modifications can disrupt established learning patterns, potentially degrading overall performance temporarily.

Solution: Implement changes gradually, allow 1-2 weeks for stabilization, and measure against pre-change baselines rather than immediate post-change performance.

Overly Restrictive Targeting

Complete exclusion of all but one device type can significantly limit impression volume and audience reach. Performance Max thrives on data and scale--extremely narrow targeting reduces both.

Solution: Consider moderate restrictions rather than complete exclusion, and monitor reach metrics alongside conversion metrics.

Neglecting Cross-Device Journeys

Modern customer journeys span multiple devices. A user might discover your brand on mobile, research further on tablet, and convert on desktop. Device targeting that eliminates mobile might interrupt this journey entirely.

Solution: Understand your attribution model and consider how device targeting affects the full customer journey rather than isolated conversion events. Using comprehensive SEO strategies alongside paid media can help capture users across all touchpoints.

Failing to Reassess

Device performance patterns change over time as user behaviors evolve, new device types emerge, and your business offerings shift. Static device targeting becomes suboptimal as conditions change.

Solution: Establish quarterly device performance reviews and adjust targeting based on current data. The device landscape continues evolving with new form factors like foldable devices blurring traditional boundaries.

Measuring Success with Device Targeting

Device targeting effectiveness must be evaluated through a comprehensive metrics framework that accounts for both direct conversions and indirect contributions. Google Ads provides device-segmented performance data showing conversions, conversion value, cost, and impressions by device category.

Primary Metrics to Monitor

• Conversion rate by device: Are certain devices producing more qualified conversions?
• Cost per conversion by device: Is budget being efficiently allocated across devices?
• Conversion value by device: Are high-value conversions coming from specific devices?
• Impression share by device: Are you reaching your target audience on priority devices?

Cross-Device Journey Analysis

These direct metrics don't capture the full picture of device contribution to customer journeys. Consider implementing cross-device conversion tracking to understand how different devices work together.

If your attribution model shows mobile contributing to desktop conversions--users who browse on mobile before purchasing on desktop--aggressive mobile exclusion might harm overall performance despite strong desktop metrics.

Reach and Frequency Considerations

Highly restrictive device targeting can reduce impression volume significantly, potentially limiting Performance Max's ability to find new audiences. Monitor reach trends alongside conversion metrics to ensure your targeting strategy doesn't compromise the core benefits of AI-powered reach.

Evaluation Scorecard

By integrating device targeting insights with broader digital marketing strategy, businesses can create cohesive campaigns that reach audiences effectively across every touchpoint in their customer journey.

Advanced Strategies for Optimization

Combining with Audience Signals

Seasoned Performance Max advertisers can combine device targeting with other campaign settings for sophisticated optimization strategies:

• Desktop targeting + in-market audiences (high-consideration products)
• Mobile targeting + affinity audiences (impulse-driven categories)
• CTV targeting + custom intent audiences (streaming content)

This layered approach allows you to leverage AI automation while maintaining strategic control over who sees your ads and on which devices. Implementing these strategies alongside AI-powered automation can further enhance campaign performance.

Systematic Testing with Experiments

Test device targeting variations systematically using campaign experiments:

1. Create parallel campaign versions with different device configurations
2. Allocate equal budget to each variation
3. After sufficient learning period, compare performance
4. Identify optimal device targeting for your specific business

This experimental approach replaces assumptions with data-driven conclusions.

Multi-Campaign Coordination

Consider device targeting as one element of a coordinated multi-campaign strategy. Complement device-targeted PMax campaigns with device-specific Search or Display campaigns for strategic control where precise targeting is essential. Performance Max excels at audience discovery and automated optimization, while traditional campaigns provide precise control for known high-value segments.

Ongoing Optimization

Monitor emerging device categories and usage patterns as they develop:

• Connected TV usage continues growing
• New tablet form factors emerge
• Foldable devices blur traditional device boundaries
• Device targeting strategies require ongoing refinement

Conclusion

Device targeting represents a significant expansion of advertiser control within Performance Max campaigns. By enabling include and exclude controls for mobile, tablet, desktop, and TV devices, Google has given marketers the ability to align AI-powered automation with strategic business objectives. Success requires moving beyond assumptions to data-driven decisions, implementing changes gradually, and evaluating performance comprehensively.

The businesses that master device targeting will enjoy improved ROAS, more efficient budget allocation, and better alignment between advertising automation and strategic priorities. Start by analyzing your current device performance data, identify strategic opportunities for optimization, and implement device targeting that reflects your unique business model and customer journey patterns. Partnering with experts in paid advertising can accelerate these optimizations and help you achieve better results faster.

Sources

1. Search Engine Land: Google Ads adds device targeting to Performance Max campaigns
2. Google Support: Unlock more visibility and control in Performance Max