Who advertisers should target–iOS or Android users–has long been the subject of debate among mobile app marketers. And despite the fact that this rivalry has spanned more than a decade, there are so many factors to consider when comparing Android versus iOS that the answer remains subjective and there is no definitive winner to declare.
GAID and Google Play Install Referrer
The rules of the game are about to change but understanding how people find your app and what they do once they’ve installed remains crucial to helping advertisers decide their strategy and budget.
Assuming Android’s device ID becomes restricted, Google’s install referrer will be able to help marketers connect the dots between ad activity and media sources. This Android-specific ad tracking identifier is 99 percent accurate and when compared to fingerprinting (which we know is a big no-no for Apple) it is able to offer a 1:1 level of insight into the timing and activity surrounding app installs which fingerprinting can not.
When a user clicks on an ad the referrer ID, a unique string code, is sent to the Play Store. When a user installs the app, the same referrer ID is sent to the app. And when the app is opened, the unique string code is passed to the attribution partner which matches the conversion to the source.
Android is a growing percentage of global inventory
According to Statista, as of January 2021 Android held a 72 percent share of mobile operating systems worldwide and is projected to increase over the coming years.
At LifeStreet our access to inventory sources follows these market trends. Android is becoming a growing piece of our business, making 45% of our spend, a 125% increase from the beginning of 2020, and 55% of bid requests worldwide.
One of the contributing factors for the growing number of Android bid requests is lower CPIs. Since the beginning of 2021 we’re seeing lower CPIs globally across playables, video and display.
More Android-specific dimensions
Like all model training, predictive models become more accurate with more data and for advertisers to accurately predict Android LTV (lifetime value), it’s helpful to use Android-specific signals–like device features–as data points to learn from.
A few of the Android dimensions we collect and can target against are:
- Device maker
- DPI (dots per inch)
- Screen size
- Device Announcement Year
- Device model
By having targeting options specific to Android, our machine learning model can make better ROAS predictions for that specific operating system.
If advertisers are worried about their ability to execute UA campaigns after Apple’s ATT enforcement, investing in Android can mitigate that risk. We’re seeing Android performance on par with iOS and grow in market share. Combined with the ability to obtain more accurate and reliable data about Android-specific installs, this trifecta makes Android more than a potential alternative to iOS but the potential winner of 2021.
Article reposted with permission from Business of Apps.