How to determine the mobile phone system and model? Core operations for optimizing marketing list structure

When importing large-scale social accounts, mass distribution orBefore reaching WhatsApp and Telegram users, many companies often only focus on “whether the number is registered” and “whether the number is online”, but ignore a more critical variable:The system and model information of the mobile phone bound to the account. This is the basis for judging whether an account is authentic, stable, and has interactive potential. andThe joint identification of "system + model" is an indispensable key operation in the current optimization of marketing list structure.

This article will comprehensively explain clearly from the perspectives of judgment logic, risk identification, structured management, etc.: How to identify the mobile phone system and model? How to use it? Why must it be done?

system+Model identification is the underlying ability for high-quality account screening

The device system and model not only determine the account operating environment, but also directly affect:

lIs the application compatible?

lWhether the message can be delivered stably

lIs the user active?

lAre there risk control risks?

A real active user generally hasAuthentic brand equipment+ Mainstream system version, its behavior path is complete and its platform recognition is high; as for batch registration numbers, account-blocking equipment or resale resources, the equipment often behaves as:

lDummy models or unbranded devices

lSystem version abnormality (such asAndroid 5/6, iOS 11)

lMultiple accounts share one model, registering a large number of accounts in a short time

lAfter registration, it has never been online and has no operation behavior.

If these accounts are not cleaned, it is easy to cause mass mailing failure, account ban by the platform, inefficient conversion, and waste of system resources.

How to identify the mobile phone system and model?

To make a valid judgment, two fields must be analyzed jointly:

1. Mobile phone system (OS) field judgment

liOS system judgment logic:

iOS 16 and above → Mainstream active devices

iOS 13 or below → Poor compatibility, it is recommended to exclude

lAndroid system judgment logic:

Android 12 and above→ Run social apps stably

Android 8 and below → Risk control-prone systems, old equipment, and instability

The newer the system version, the more likely the device is to be the main machine, the more active the user behavior is, and the more worthwhile the investment is.

2. Mobile phone model field judgment

lMainstream brand high-end models (Apple/Samsung/Xiaomi Pro）

Indicates that users may have stronger purchasing power and high social activity

lmid-range model (Redmi/Vivo/OPPO mid-to-high-end)

It means the authenticity is high but the interaction is uncertain. It is recommended to judge it based on the behavioral tags.

lCheap models, unbranded devices, empty model devices

Frequently used in registration machines and simulator operations, centralized risk control

joint system+Model analysis can accurately determine whether the account's usage environment is stable, safe, and has marketing potential.

system+Practical application scenarios of model judgment

1. Filter unavailable accounts before mass sending

In many marketing tasks,The success rate of group sending on WhatsApp or Telegram is often not because the account is invalid, but because the device does not support the latest version of the app or triggers risk control.

2. Determine device availability before registration

Whether the verification code verification can be completed normally, whether it is compatible with the client, etc. are all related to the device system.

3. Identify real users before forming a community

Most real users areiOS or Android mainstream brand devices, those with fake devices or abnormal number segments should be excluded from the group pull process.

4. Multiple system opening and account binding optimization

In a multi-machine system, it is necessary to avoid binding multiple accounts to the same model and device environment. Identifying the model in advance can avoid account bans.

How to identify systems in batches+Model information?

Manual operation is impractical. It is recommended to use platform tools:

Identification using the Digital Planet Platform

The following features are supported:

lUpload mobile phone number batch identification system and model

lReturn fields include: Brand/Model/System type/System version/Registration status/Whether to be banned

lSystem automatic marking (high value/general/risk)

lSupports structured export forCRM, group control, delivery system

lCan be linked to the activity recognition module to determine whether the device is in use

This method is suitable for large-volume data screening, pre-registration cleaning,API batch access and other business models.

How to use it after judgment? Establish a three-tier structure list pool

After screening, it is recommended to establish the following three-layer structure:

preferred pool

liPhone users

lAndroid12+ system + high-end model

lRegistration status is activated, recentlyActive for 30 days

→ Used for high-cost reach tasks and high-frequency interaction tasks

middle pool

lAndroid11–12 systems + mid-range models

lModerate activity, successful registration

→ Used for general group sending and low-frequency interaction tasks

exclude pool

lAndroidSystems below 8, empty models, virtual devices

lThe system version is seriously inconsistent with the model

→ Eliminate current delivery tasks to avoid wasting resources

A clearly structured user device judgment process is a key link in improving marketing execution. Many problems seem to be caused by the account itself, but in fact they are caused by the disorder of the equipment structure behind it. If the system model can be correctly determined from the source, subsequent registration, group messaging, association establishment, and account maintenance will be easier.

Use the Digital Planet device detection system to make system models visible, checkable, and controllable, helping you build a social account asset pool with real operational value.

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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precision filtering, duration filtering, power-on filtering, empty number filtering, mobile device filtering wait.

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