In global business scenarios such as cross-border registration, social account maintenance, distribution, and anti-fraud identification, massive device access has become the norm. Facing millions of mobile phone numbers and devicesID, user behavior record, if it cannot be quicklyBatch identification of mobile phone brands and system versions, it will be impossible to establish an effective device portrait structure, which will affect the stability of the account pool, platform trust level, registration success rate and even risk control strategy.

Many practitioners are asking: Is there a stable, sustainable, and highly concurrent identification tool? What key parameters must be measured? This article will focus on these issues and dismantle a practical device identification solution.

1. Why do we need to identify brands and systems in batches?

Whether a mobile phone number can be registered, bound, and logged in stably is closely related to the device brand, model, and system version behind it. Equipment capabilities determine:

lWhether the platform determines that it is"real users"

lexists"Risk of account brushing"

lDoes it meet the latest version compatibility requirements?

lWhether it has the ability to receive codes and make calls,App running ability

lWhether the user usage habits and payment behavior labels are established

In batch registration and social platform multi-account management,Failure to identify the device brand and system version means that a controllable account system cannot be built.

2. What are the difficulties in brand identification and system version judgment?

In batch usage scenarios, common difficulties include:

1. Mixing of multiple brands and models

There are hundreds of Android device brands, and many niche device information lacks complete records, making it difficult to unify naming standards.

2. System version data is often disguised

The Android emulator can freely fill in the system version.It is also possible for jailbroken iOS devices to forge the version field.

3. Different models of the same brand perform very differently.

For exampleAlthough Samsung S22 and Samsung A10 are both from Samsung, their registration success rates, platform trust, and user behavior are completely different.

4. Specialization of brands in markets such as Africa, the Middle East, and Southeast Asia

likeEquipment brands such as Itel, Tecno, and Infinix are widely present in these areas, but there are customized differences in system structure and equipment capabilities, making standard detection methods difficult to be compatible.

These issues determine that relying solely on front-end logs, registration records, and browserUA and other traditional methods,Real and effective device brand and version identification cannot be completed.

3. What tools are used to identify mobile phone brands and system versions in batches?

The Digital Planet platform provides a system specifically for batch identification of mobile phone devices, supporting:

lMobile phone brand identification (including global mainstream brands and regional brands)

lSpecific device model identification (such asXiaomi Redmi Note 10, Samsung A52)

loperating system identification (iOS/Android)

lSystem version number judgment (such asiOS 16.7.1, Android 11)

lWhether it is simulator and virtual device identification

lLogical judgment on whether the device and system match

Platform supportAPI calls, batch imports, real-time identification, multi-region synchronization, adapt to various usage scenarios such as registration platforms, testing factories, SaaS systems, etc.

4. What are the most critical parameters in identification?

In the device identification process, the following parameters are indispensable judgment criteria:

1. Brand field (Brand)

likeApple, Samsung, Xiaomi, Tecno, Vivo, OnePlus, etc. directly determine device categories and user profile expectations.

2. Model field (Model)

likeFor iPhone 13 Pro, Samsung A32, and Redmi Note 12, this field is more detailed than the brand and is used for behavior prediction, performance judgment, and registration adaptation.

3. Operating system type (OS)

The judgment isAndroid or iOS is the pre-logic for all policy layering.

4. System version (OS Version)

Affect registration logic, compatibility strategy, risk control adaptation (such asWhatsApp minimum requires Android 5 and above).

5. Whether to use an emulator (Emulator Flag)

Identify whether it is a virtual device/Modify the system to eliminate high-risk account sources in advance.

6. Device active status (Activity)

Determining whether the device is in real use, active, and has recently been connected to the network will help eliminate invalid registrations.

5. How are the recognition results applied in business?

1. Clean before registration

Eliminate low-version Android devices, emulators, and large-scale risk control models in advance to improve the registration success rate.

2. Establish an account tiering system

Divide devices into primary account devices, auxiliary account devices, and test account devices to improve account structure security and life cycle.

3. Intelligent adaptation of advertising placement

Match content size, content style, and loading method according to brand and system version to increase click-through rate and conversion rate.

4. User behavior modeling and anti-cheating prevention and control

Device models that appear frequently in risk scenarios can be set as blacklists to build a high-value behavior scoring model.

5. Customer service system terminal compatibility judgment

The platform can automatically recommend supported devices based on device typeApp version and plug-in adaptation methods reduce work orders and improve experience.

6. Real Case: Optimization of Card Merchant Equipment Batch Acceptance Mechanism

A social registration service provider has been purchasing third-party card pool resources for a long time, but the registration success rate is unstable. After accessing the device identification module of Digital Planet, the batch of equipment bound to the number resources provided by the card provider is identified:

lFound approx.25% of devices are older models below Android 6

lAlso13% of the device models have serious duplication and are suspected to be simulator environments

lA lotSystem version mismatch occurs on Infinix and Tecno devices

Based on the identification results, the team developed the following processing mechanism:

lEquipment screening is carried out before batches are put into storage, and unqualified batches are returned directly.

lPut low-value brand equipment into the test environment and no longer bind it to the main account

lBind high-value equipment to the main platform, main account, and core registration channels

In just one week, the registration pass rate increased32%, account stability increased by 46%, and complaint rate dropped by more than 50%.

Today, as device data increasingly becomes a basic asset,Brand and system version are no longer just technical fields, but core factors that determine account quality, delivery efficiency and platform stability.

The equipment identification system provided by Digital Planet has supported batch identification, automatic classification, risk judgment and structure output of global mainstream brands and system versions. Just import device data or number list, and you can complete multi-dimensional identification from brand to version with one click, adapting to various overseas platforms, data services, registration systems and advertising models. If you are facing problems such as device confusion, registration failure, and account instability, immediately access the Digital Planet device identification module to complete a thorough user structure cleaning.

digital planet is a world-leading number screening platform that combines Global 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:

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The platform has several features including Open 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 filtering wait.

Platform provides Self-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.

You can find it on the official channelt.me/xingqiupro Get more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966

(Kind tips:existWhen searching for Telegram’s official customer service number, be sure to look for the usernamexq966), you can also verify it through the official website personnel: https://www.xingqiu.pro/check.html , confirm whether the business contact you is a planet official