A Complete Guide For iOS 14.5+ Attribution

Apple is a major company in the realm of mobile phone production. It is known for its unique features and privacy provided for users. In this era, where data security is seen with high regard Apple stands top in the market. It is inevitable to market a product and get enough reach only after successfully marketing it among Apple users. IOS attribution plays an important role in the mobile marketing industry. Identifier for Advertisers (IDFA) was the unique identifier used by Apple to track users, however, it has been optimized by Apple with the release of iOS 14.5. IOS 14 attribution has emerged as a major game changer in the mobile marketing domain. The introduction of the App Tracking Transparency (ATT) framework is the major change that has brought new dimensions to mobile attribution tracking. The right mobile attribution tracking tool like apptrove will be the right choice in this dynamic atmosphere prevailing, particularly in iOS attribution.

The major change in the ATT framework is that apps require permission from the users before tracking their activity across other apps and websites. This will have a whole change in the present attribution models across platforms. Tracking tools and mobile apps should adopt new methods accordingly to determine the efficiency of their marketing campaigns and analyze user data for any purpose.

Key Attribution Methods

We have looked into the changes that happened in the iOS app install attribution, now it is essential to know about the various methods that one needs to know for iOS attribution. Some of the major methods used in the field are : 

1. SKAd Network (Store Kit Ad Network) - This method is the privacy-friendly attribution tracking solution Apple has initiated. It helps to measure the effectiveness of marketing campaigns without revealing user-level information. To maintain privacy SKAd network will not give user information or real-time data, it provides aggregate data across users and campaigns for understanding campaign performance. It has a delayed reporting nature to avoid individual tracking. It uses anonymity in data and a conversion value system to track post-install events. The major drawback of this system is that it provides the advertiser with delayed feedback, limited data granularity, and complexity in the conversion of values.

2. Deterministic Attribution - This method uses the unique identifiers of the users for tracking the actions and conversions made by users. This method uses IDFA (Identifier for Advertisers) for tracking but user consent is mandatory for this. Detailed insights and precise measurement are the benefits of deterministic attribution in iOS 14 attribution. It provides the highest level of accuracy due to its link with unique identifiers which enables advertisers to perform deep analysis and optimization of their marketing strategies. The major challenge of this method is as mentioned, with the introduction of ATT, users may opt out of tracking which reduces the number of eligible users.

3. Probabilistic Attribution - This method uses non-deterministic features like the IP address or user agent for tracking. This method is used by many when the users opt out of the tracking. It is less accurate than the deterministic method but has a wider user coverage. There are two models involved in this, they are : 

• Probabilistic Aggregated Model - In this model, the advertisers and publishers can see the grouped data which will be non-deterministic but helpful for them. Aggregated details like the user’s device type, operating system version, and geographical locations can be accessed.

• Probabilistic User Level Model - In this model, advertisers and publishers can see users' non-unique identifiers and behavioral data. It includes various data like device type, browser type, etc. While this model provides more granular information than the aggregated model, it still needs to improve the precision of deterministic attribution and carries the risk of inaccuracies.   

4. Apple’s Private Click Measurement (PCM) - This is a framework introduced by Apple to measure ad clicks and conversions without compromising users' privacy. Similar to SKAd Network this model also uses a delayed reporting style and aggregation of data.

Now we have seen some of the major models used for attribution tracking, particularly for iOS14.5+ updation in Apple mobile phones. Another major thing to be learned is the attributed text in attribution. It is not related directly to the technical methods of attribution or marketing campaigns. The attributed text refers to the text in an app styled with special font, color, and spacing. It is one of the most powerful tools in user interface design.

In conclusion, iOS 14.5 + Attribution has drastically changed the digital landscape, particularly, the mobile marketing realm. User privacy and consent are of high regard in this updation. ATT framework is also very significant in this Apple update. As this marketing realm advances it is essential to have a proper mobile marketing attribution tracking tool with your brand for the growth and development of your business. Apptrove will be the right choice for this. Apptrove’s special and unique features can help your business to earn a good position in the market.

Frequently Asked Questions

1. What are the major changes in iOS14.5+?

Ans. The major update is in the case of privacy and user content. Permission from the users is necessary for tracking various attributions.

2. Does attribute text affect mobile attribution in iOS1.5 +.

Ans. No, it does not affect the mobile attribution. It is just a user interface feature.

3. Can attributed text be used for tracking?

Ans. No, it cannot be used for tracking attribution.