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14.5 Rollout: iOS CPMs still down, Android climbing.

iOS CPMs remain down, Android seems to be picking up the slack. These changes signal significant impact on long-term user value (LTV).

A follow-up to our early-May post, we’ve refreshed global CPMs by platform and ad-type to give app developers an idea of the impact to ad earnings across the industry. As Flurry continues to indicate a slow roll-out and lower-than-hoped opt-in rate the impact of iOS 14.5 certainly seems to have made some impacts in ad monetization. Read on to see the indexed values and our takeaways.

Note: CPMs are listed as index values, therefore swings may be exaggerated (or minimized) based on normalized fluctuations. 


CPM-Index of US Banners

CPM-Index of non-US Banners

While the good news is the iOS banner CPMs seem to be coming back – or at least stabilizing – the Android CPMs in the US are actually overcoming iOS in a very uncharacteristic and dramatic mid-year revenue spike. It certainly seems the Android CPMs are picking up what the iOS banners have lost.


CPM-Index of US Fullscreens

CPM-Index of non-US Fullscreens

Full screens have stayed slightly down in the US – but are actually up outside of the US whereas Android has seen an uptick in both. However the index shows the large difference in average CPMs of Android v. iOS CPMs and the impact is muted as a result.

Reward Video:

CPM-Index of US Reward Video

CPM-Index of non-US Reward Video

iOS remains static in the US (and slightly down outside of the US) but, interestingly Android is seeing an uptick in the US that seems to indicate performance spend has shifted from iOS to Android.

Impact on User CPMs & LTVs

Anecdotally we’ve isolated the CPMs & LTVs of a single iOS & Android app to demonstrate how this may affect long-term user value.

In all charts, the blue line shows users acquired in March; the grey April installers; and red line shows users acquired this month (May).


iOS User Value 

On the left we see the CPM average of each cohort starting at their install-date (Day 0). April and May day-0 shows an average CPM at 1.5X the overall indexed average, where May users are 25% higher at 2X the average – likely due to the increased buying demand of April.

However the overall averages May CPMs fall at a rate higher than April, coming in about 50% lower than April averages.

On the right we see LTV of each cohort. While day-0 is similar on all cohorts, the May group falls off drastically and by the end of the cohort measurement it comes in ~40% lower than March values.

90 pLTV of May installers are down ~50% compared to March.

90 iOS LTV prediction using a non-linear power regression. Equation takes the form Y=aX^b (documentation)

Android User Value

Day-0 monthly cohort CPMs on May installers is 15% higher than users who installed in April, growing to +22% difference by day 24. Overall averaged CPM of May users is 30% higher than April users.

Monthly cohort LTVs: May users are double April’s on their install date, ending at ~73% higher by day 24. If this trend continues moving forward Android user LTV will easily be worth over 50% more.

90 day pLTV values of May Android users are up 60% over April installs.

90 Android LTV prediction using a non-linear logarithmic regression. Equation takes the form Y=a*ln(x)+b (documentation)

About Us:

AdLibertas makes tools to help app developers earn more from their apps. If you’re interested getting this measurement capability for your apps, see more details on you can connect your data sources into Audience Reporting on our product page. Or watch an introduction video below: