Can mobile phone model query distinguish between iPhone and Android? Digital Planet Global Number Detection

Mobile phone model queryIt is increasingly used in practical scenarios such as user data screening, e-sales stratification, and advertising targeting. A very practical question is:Is it possible to quickly determine whether a mobile phone number is used by querying the mobile phone model?iPhone or Android?The answer is yes, and it can not only determine the system type, but also the mobile phone model, brand and frequency of use. With the help of imagesDigital Planet global mobile phone device model real-time detection systemSuch tools to identify device types in batches have become a key tool in data operations."Basic Actions".

 

How to determine mobile phone model queryiPhone and Android?

In the device identification system, each mobile phone has a unique device model identification, such as:

The model field for iPhone 13 Pro Max may be "iPhone14,3"
Samsung The model field for the Galaxy A53 may be "SM-A5360"
MilletThe model field for 13 might be "2211133C"

These model fields are regular in the system.iOS devices are uniformly named "iPhone + digital", while Android is divided into multiple brands with their own model systems.

By system parsing the device field, you can directly identify:

Operating system type:iOS or Android

Brand name:Apple, Samsung, Xiaomi, OPPO, Vivo, etc.

Specific models:iPhone 13, Galaxy S21, Redmi Note 11, etc.

Therefore, mobile phone model query can not only distinguishiPhone and Android can also help to further understand user portraits.

 

How does Digital Planet determine equipment system types in batches?

useDigital Planet Number Screening and Detection PlatformWhen you upload a list of mobile phone numbers, the system can batch identify the device models bound to each number and return the following fields:

Phone number
Equipment brand (e.g. Apple)
Device model (e.g. iPhone 14 Pro)
Operating system type (iOS or Android)
Detection time (accurate to minutes)

All results for thousands of pieces of data can be returned within a few minutes, without the need to manually determine the brand model. It is very suitable for teams that need to process a large amount of mobile phone number data, such as advertising companies, telemarketing agencies, overseas platform operation teams, etc.

 

Practical example: differentiate the system and then implement different strategies to improve reach efficiency

An educational application is planned to be launched in IndonesiaApp promotion activities. The team collected 20,000 mobile phone number data, with the goal of launching the main app only for iPhone users and directing Android users to a simplified version of the web page.

They used Digital Planet to conduct a mobile phone model query, and the results are as follows:

Total mobile phone numbers:20,000 items
identified as iOS users: 5,200 (26%)
identified as Android users: 13,900 (69.5%)
Unrecognized or abnormal number:900 (4.5%)

The team will iOS users are packaged separately, focusing on pushing App Store download links. At the same time, Android users mainly use the web version to log in, and the click-through rate is 2.6 times higher than before without classification.

This step is not strategy optimization, but basic judgment. Because if you don’t know what system the other party is using, evenI can’t figure out “where to jump to”.

 

Can the system version be determined by phone model query?

In addition to the operating system type, some teams also care about the user's system version, such as:

Does it support new features (such asCertain features can only be used with iOS 16 or above)

Is it prone to compatibility issues (oldAndroid model does not run smoothly)

Currently in the device identification system, the system version of the device can indeed be read under some advanced configurations, but in most application scenarios, only the system type is determined (iOS/Android) is sufficient for policy layering.

Digital Planet's detection system can expand the system version field in future versions to meet the identification needs of high-end users.

 

Use system identification to improve marketing accuracy

Why are more and more teams using it now?Mobile phone model queryDetermine system type? Because once identified"This is an iPhone user", then you can do anything with the copywriting, landing page, and CTA design.

for example:

iPhone users → can write "Open the App Store to download now"
Android users → Change to "No installation required, use the web version directly"
Android old device users → Can be guided to a lightweight page to prevent lags and jumps

A list of users who have made system type judgments can help you significantly improve user experience and conversion rate without increasing costs.

 

digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

The platform has several features includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.

Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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