GUANGZHOU, China, Oct. 31, 2016 /PRNewswire/ -- With the recent updates of iOS 10 IDFA (identifier for advertisers on iPhones), consumers will see less relevant advertising which deprives attribution data for brands. IDFA works the same as cookies but even better in iOS. If it is limited in such a closed system, advertisers will get blind data. Many ad tech vendors have attempted to find a new ID tracking methods for advertisers in applicable ways.

SimulateIDFA, New Way To Identify Devices

Adxmi's parent company -- Youmi Technology, is developing SimulateIDFA to help developers, advertisers and DSP platforms to identify devices in iOS and to optimize performance and efficiency of their ads.

Inspired by OpenIDFA, we developed a whole new solution, more advanced and adaptable in iOS for identifying devices. Most importantly, SimulateIDFA would be a new method abiding by Apple's developer policy and respecting user's privacy.

Features of SimulateIDFA include:

1. Easy to operate

Data embedded with the algorithm in App or SDK of SimulateIDFA would be the same as IDFA. The principle of generating SimulateIDFA is similar to OpenIDFA. Consisting of 32bits, MD5 value would be divided into two parts. The former part of the value only changes when the system upgrades, contains information from the system, devices, storage, core services and file updates.

The latter part consists of adaptable values which only change when the device restarts. It contains information like the system activation time, country, language and device's name.

2. Low repetition rate, high efficiency & anti-fraud

As a generation algorithm, the repetition rate of SimulateIDFA is obviously lower than OpenIDFA's because OpenIDFA's algorithm involves the day and time which changes the MD5 value.

SimulateIDFA performs well with long-term tracking because the value in SimulateIDFA divides into two parts. The first part of the 16 bits changes only when the system upgrades. The second part of the value changes according to user's activity, such as restarting the phone, modifying the device name as well as modifying the phone's native language.

For anti-fraud, SimulateIDFA will be equipped with an advanced value sources and algorithm, which it difficult to modify values on a large scale.

3. Recognized by the industry

As a new solution for data attribution for iOS advertisers, this technology is extracted and improved from our platform's daily anti-fraud techniques. Owing to its premier testing and launching in Github granted by MIT, SimulateIDFA has refined its adaptability.

The development of SimulateIDFA enhances the credibility for the solutions, making the data more transparent. Also, we hope to create a more open mind among developers, building a new standard for China's mobile advertising market.

"We are not assuming that SimulateIDFA would be accepted by the industry in the short term. What we do is to open a window for the industry in China, innovating and redefining technology for mobile advertising," said the Adxmi technology team. "The open source project is accepted by advertisers, giving a chance to solve the problem of user tracking and data standard."

Apple may change its policy. The open source SimulateIDFA would also keep on track, making adjustments as needed. From our point of view, data of devices from IDFA is fundamental for mobile advertising. More emphasis should be laid on data analysis, mobile anti-fraud and ad optimization.

SimulateIDFA has been rigorously tested.

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Yolanda
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SOURCE Adxmi