My earnings balance was deducted by the amount invoiced, but I have yet to receive payment. What is the reason for this?
IAP Promo FAQs
Personalized Placements FAQs
Do Personalized Placements work with mediation?
Yes. To use with mediation, you must integrate your Personalized Placements with your mediation partner’s Unity adapter as you would a normal Placement. The actual integration will differ by partner. For more information, see documentation on mediation.
What ad formats do Personalized Placements support?
Personalized Placements support interstitial or rewarded video, playable, and display ads (for more information, see documentation on Monetization content types).
- Basic (interstitial) ad integration: Unity (C#) | iOS (Objective-C) | Android (Java)
- Rewarded video ad integration: Unity (C#) | iOS (Objective-C) | Android (Java)
How is the control group for my observation phase (phase one) implementation formed?
In the beta, there is an observation phase to prove revenue lift by randomly selecting 50% of the player base to experience optimized content, while the other 50% act as a control group. If you have questions about the random selection process, or how users are redistributed for the scaling phase (phase two) expanded exposure, please contact your Unity representative.
When will I see revenue lift from Personalized Placements?
You should see immediate lift, however the machine learning engine usually takes about two weeks to optimize, depending on how many daily active users play your game. This can vary, depending on where you choose to implement your Placements (for example, at the beginning of the game versus the end of the game), which is why Unity recommends multiple Personalized Placements spread throughout the game to deliver a consistent experience. As with any machine learning model, expect performance to improve over time.
How does Unity determine the optimal content to display?
Personalized Placements optimize toward lifetime value (LTV) for retention and sustainable revenue. Unity calculates the LTV of a player by projecting their total potential value over an infinite amount of time. This model considers many factors beyond bid value. For more information, see documentation on how Personalized Placements work.