Google App Campaigns (UAC) Complete Guide 2025

Google App Campaigns (formerly Universal App Campaigns) reach users across Search, Play Store, YouTube, Display Network, and Discover. With machine learning handling most optimization, success depends on providing great assets and proper campaign structure.

How Google App Campaigns Work

Unlike traditional Google Ads, App Campaigns use machine learning to:

Key Difference from Other Platforms

You cannot control targeting, placements, or ad combinations. You provide assets, set a budget and bid, and let Google's AI optimize. This requires a mindset shift from manual control to asset quality focus.

Campaign Types

TypeOptimization GoalWhen to Use
App InstallsMaximize install volumeNew apps, scale phase
App EngagementIn-app actions from existing usersRe-engagement campaigns
App Pre-registrationPre-launch signups (Android)Game launches

Asset Requirements

Text Assets

Image Assets

Video Assets

HTML5 Assets

Playable ads for gaming apps. Up to 60 seconds of interactive content.

Bidding Strategies

Target CPI (Cost Per Install)

Set your target cost per install. Best for:

Target CPA (Cost Per Action)

Optimize for specific in-app events. Requires:

Target ROAS

Optimize for return on ad spend. Requires:

Campaign Structure

Best practices for organization:

Optimization Tips

  1. Feed quality assets: This is your primary lever
  2. Use Asset Reports: See performance of individual assets
  3. Replace low performers: Swap out "Low" rated assets
  4. Test video first: Video typically drives best performance
  5. Be patient: Allow 2-4 weeks for learning
  6. Avoid micro-changes: Major changes reset learning

Common Mistakes

Conclusion

Google App Campaigns require giving up control and trusting the algorithm. Your job is to provide excellent creative assets, proper tracking, and appropriate budgets. Let Google's ML handle the rest—it has more data than you ever will.