Introducing Conversion Hub: Adjust's all-in-one solution for mapping conversion values ​​in a smart, simple and effectiv

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Marketers working on iOS need conversion value models that make the most of SKAdNetwork (SKAN) data. The App Tracking Transparency (ATT) framework, which requires developers to ask permission to track users via IDFA, has made it necessary to use SKAN for attribution and measurement starting with iOS 14.5. However, using this conversion value mechanism and creating a strategy to make the most of it comes with a number of complexities and limitations. That’s why Adjust is excited to introduce Conversion Hub, our smart and easy-to-use conversion value solution that helps customers leverage our machine learning-trained models to map and configure conversion values ​​specific to their app.

Conversion Hub is powered by machine learning and industry best practices, and benefits customers of all sizes by enabling them to generate custom conversion values ​​for their app, or create their own conversion values, in a smart, simple, and effective way.

Conversion Hub: Smart and easy conversion value mapping
Conversion Hub uses our proprietary learning models to recommend a conversion value approach specific to each client and each app. Conversion australia business fax list Hub acts as your own SKAN expert, allowing you to launch and measure your iOS campaigns with confidence. Remember, SKAN provides you with only one conversion value on postback, and the key to success is making the most of this value. Let’s look at the ways Conversion Hub helps clients achieve this.



1. Conversion value models:
- 63 Conversion Value Model: This model uses all 63 possible conversion values ​​by mapping revenue ranges to each other. By considering each conversion value as a revenue range, clients gain granular insight into monetization efforts for their iOS 14.5 and higher user base. When using this model, the order in which ranges are assigned to values ​​is extremely important. If a range is triggered that has a high value assigned to it, all lower conversion values ​​are lost and you only receive the highest conversion value triggered. The conversion value you get is updated whenever a new value is introduced that is higher than a previous value.