Running Google App Campaigns (UAC) on iOS and Android is very different.

Google’s ad ecosystem operates differently on each platform due to attribution constraints, auction dynamics, and placement options—and if you’re running both the same way, you’re leaving money on the table.

Let’s break down the key differences and how to optimize for each.

1. Attribution: The Biggest Difference Between iOS & Android

🚨 iOS: Limited Tracking Due to ATT 

Apple’s App Tracking Transparency (ATT) has severely restricted attribution for iOS app campaigns.

  • No device-level tracking → Less accurate attribution
  • Delayed & aggregated reporting → Install/conversion data is not real-time.
  • Fewer optimization signals → Google has less data to optimize bids & placements.
  • No direct ROAS tracking nor a way to implement Custom Product Pages → You must rely on SKAN postbacks, modeled conversions or other attribution methods instead.

✅ Android: Full Attribution, More Optimization Data

Unlike iOS, Google can fully track user behavior on Android:

  • Full-funnel data → Google tracks click-through & view-through conversions.
  • Real-time performance tracking → No big delays in reporting.
  • Better machine learning signals → Allows stronger bid optimization for purchases, subscriptions, and other in-app actions.

💡 Key Takeaway: UAC is more efficient on Android because Google has better tracking data. On iOS, expect longer learning periods, less precise targeting, and reliance on Google’s modelling. 

2. Performance & Scale: iOS is More Expensive 

📉 Cost Per Install (CPI) is significantly higher on iOS.
 Why?

  • More competition → iOS users tend to have higher LTV, making ad auctions more expensive.
  • Fewer optimization signals → Since Google lacks device-level data, optimization and targeting is less efficient, leading to higher CPIs.
  • SKAN conversion & ATT opt-in limits → The fewer opt-in conversion you have, the less inaccurate post-install action modelling = less optimization power.

📈 Android can scale more efficiently.

  • More placements, better data, lower LTV → lower CPIs.
  • More accurate targeting and optimization → more predictable long-term ROAS and stronger lifetime value (LTV) predictions.

💡 Key Takeaway: If you’re looking for maximum efficiency, Android will outperform iOS in most cases. However, iOS users have higher LTV and represent a majority in the US, so paying a premium may still be worth it. 

3. Creative Strategy: iOS is More Dependant on Video, Android Can Scale with Text & Images

Google App Campaigns prioritize different ad formats based on platform performance:

📱 iOS: Video Creatives are a MUST

  • Text & image ads have limited scale → They mainly show on search since iOS doesn’t have the dominant app store placements that Android has.
  • Video ads drive the most impressions → Display & YouTube are critical.
  • UGC-style videos perform best → High-engagement content converts better.

📱 Android: More Ad Format Flexibility

  • Text ads work better → More placements available
  • Videos are still key for scaling, but are not mandatory → You may be able scale pretty significantly with text & static images.
     

💡 Key Takeaway: On iOS, video is king. On Android, you can scale using a mix of text, images, and video.

4. Bidding & Optimization: How Google Handles iOS vs. Android

Because of limited attribution on iOS, bidding strategies differ:

📌 iOS: tCPI (Target Cost Per Install) is the Default

  • Google lacks full post-install data → It optimizes mainly for installs. To get data for post-app install – you need a certain % of people to accept the ATT prompt so Google can use data from theses users for modelling. Implementing On-Device Conversion Measurement can also help.
  • Configure SKAN properly → Choose conversion values carefully for accurate in-app event tracking.
  • Expect a longer learning phase → Google has fewer signals 

📌 Android: tCPA (Target Cost Per Action) & tROAS (Target ROAS) Work Better

  • Google has full-funnel conversion tracking → Allows bidding for purchases, subscriptions, etc.
  • Faster optimization cycles → More data = better machine learning.
  • Higher efficiency & better ROAS → You can bid directly toward profitable actions.

💡 Key Takeaway: On Android tROAS and tCPA are always better bidding strategies while for iOS it isn’t as clear..

5. Ad Placements: Where Your Ads Will Show

📍 iOS Placements:

  • Search & Brand Terms (Limited scale)
  • YouTube (Most impressions)
  • Google Display Network (AdMob in-app ads)

📍 Android Placements:

  • Google Search (Higher intent placements)
  • Google Play Store (Exclusive to Android campaigns)
  • YouTube (Lower intent, lower ROAS, High Scale)
  • AdMob in-app ads (High scale, lower intent placements)
  • Playable Ads (Exclusive to Android, high engagement for games)

💡 Key Takeaway: Android has more placement diversity

6. Why You Shouldn’t Expect the Same ROAS on iOS vs. Android

🚨 iOS: ROAS is often lower—Here’s why:

  • Ads serve on brand & search terms (higher intent, but limited scale).
  • More placements on YouTube & Display (lower direct conversion rates).
  • SKAN limits tracking (reduces optimization efficiency).

✅ Android: ROAS is often higher—Here’s why:

  • More placements in high-intent environments (Google Play Store, Search). 
  • Brand traffic can be captured in both Google Play Store and Search.
  • Full conversion tracking (better data, more efficient bidding).

💡 Should you not run iOS campaigns at all? No, you can still scale on Google UAC with iOS campaigns.
Focus on:
* Optimizing conversion values in SKAN → More accurate postbacks = better performance.
* Give Google’s modelling system sufficient data → More data to use for modelling = better performance.
* Investing in high-performing video creatives → Better engagement = better efficiency.

Final Takeaways: How to Approach UAC on iOS vs. Android

🚀 Key Differences & Strategies:
 🔹 iOS is more expensive, harder to track, but high-LTV users may be worth it.
 🔹 Android is more efficient, and offers better tracking and optimization control.
 🔹 Make sure to have high performing videos before testing iOS
 🔹 Don’t expect the same ROAS—iOS often looks worse but not using it all may also limit potential growth.
 🔹 Adjust bidding strategies: iOS (tCPI & tCPA) vs. Android (tCPA/tROAS).

📌 Bottom Line?
 If you want to win on both platforms, treat them separately—optimize for their unique strengths, and don’t force a one-size-fits-all approach.