In scenarios such as global social platform registration, account maintenance, multi-account layering, and anti-cheating risk control, device models and system types are important, butMobile device activity status, is what determines the account numberOne of the core factors is "whether it can be used, whether it is stable, whether it is worth maintaining".

Many platform users, testers, card vendors, and operation teams are concerned about a practical question: Is the device truly online? Does anyone use it? Can you tell which models have been active for a long time? This article will focus onThe core mechanism of "device activity detection" is dismantled, and how to identify stable and highly active real devices through the Digital Planet platform and filter out "zombie devices" with a high risk of account suspension.

1. What is a mobile device?"Active status"?

Active status is not justIt's as simple as "Is this device powered on?" It is a real usage frequency mark that is comprehensively judged from multiple dimensions, and usually includes the following judgment bases:

lWhether to regularly access the operator's network (such as everyAt least once in 3 days/7 days)

lWhether there is a text message/call/data-behavior

lWhether to participate in social account registration, login, verification and other actions

lWhether to move within a fixed geographical range

lWhether it is bound to real-name information or payment behavior

lIs it a real device rather than an emulator or virtual machine?

realAn "active" device must be in real use and have continuous online history and interactive behavior. On the contrary, even if the device is turned on and has no connection behavior and the behavior data is 0, it can still be determined as an "inactive" device.

2. Why should we check the active status of the device?

The significance of device activity status detection is not just for"Grade labels" determine whether the business is safe and efficient from the source:

1. Whether the registration can be successful?

A large number of social platforms will determine whether the registration request is legitimate based on the device's activity level. Registration requests submitted by inactive devices are more likely to be"Account brushing" behavior.

2. Can the account be used stably?

Accounts bound to inactive devices are more prone to problems such as account closure, abnormal logout, and failure to receive verification codes.

3. Is the user behavior authentic?

The behavioral data of active devices (such as clicks, forwards, payments, communications, etc.) are more credible and suitable for advertising conversion and behavior modeling.

4. Whether it can be used in high-value scenarios

For example, binding a main account, placing large-budget advertisements, and setting up a main channel account all require long-term active equipment.

3. What are the limitations of traditional device activity judgment?

Many systems only use"The last time the device was online" or "the last time it was registered" are used to determine activity, but this is a huge misjudgment:

lThe simulator can go online regularly, but has no real behavior

lDevices that go offline immediately after one registration will be incorrectly marked as active.

lBeing online temporarily does not mean"Continuously active", possibly awakened by an automated script

lLog data is limited, and trends cannot be determined based on just one or two behavioral records.

Therefore, it is necessary to introduce a more comprehensive and lower-level cross-validation of behavioral trajectories and signaling in order to build a stable active judgment logic.

4. How does the Digital Planet platform determine whether a device is active?

Digital Planet builds a complete set of data based on the global signaling network, communication behavior, and device access data.Device activity intelligent identification system, used to determine the real active status of global mobile devices in batches.

The main detection dimensions include:

1. Frequency of communication behavior

Determine whether the device has SMS, voice, and data communication activities in the near future, and make a score based on time nodes and frequency.

2. Operator registration status persistence

Detect whether the device continues to access the mobile network, whether it is interrupted, offline, or not connected for a long time.

3. IMEI/IMSI binding stability

Are multiple numbers bound to the same device? Do you change cards frequently? Are there signs of flashing?

4. User behavior trajectory

is there realityApp usage, social interaction, registration behavior, click behavior, etc.

5. Emulator troubleshooting and silent device elimination

Automatically filter out emulators with no real behavior, batch account brushing devices, and silently mounted offline accounts.

After recognition, the system will output the label:Active equipment, inactive equipment, static equipment, pseudo-active equipment, recently off-grid equipment, simulated risk equipmentwait.

5. How are the detection results used in business scenarios?

1. Register resource pool construction

Select only nearbyDevices that have been active within 30 days are used for registration, which can significantly improve the registration success rate and account stability.

2. Multi-account hierarchical management

Devices with high activity are bound to primary accounts, and devices with low activity are bound to secondary accounts, forming a primary and secondary account structure to improve account maintenance efficiency.

3. Optimization of delivery diversion strategy

Highly active devices receive high-conversion targeted ads, while low-active devices are directed to low-cost interactive content to optimize budget usage.

4. Test the quality of supply from card suppliers

When receiving the goods, it is determined whether the bound device is truly active, and junk numbers, cold numbers, and dead numbers are eliminated to improve usage efficiency.

5. Establishment of risk control and anti-brush mechanism

Combine device activity with registration behavior to analyze whether it is account swiping behavior and provide early warning to reduce account losses.

6. Can you tell which models are more likely to be active in the long term?

Can. Digital Planet Platform willDevice model+ active status Perform cross analysis and output the combined label of device model and activity. For example:

lThe average user activity cycle of iPhone 13 and above is more than 90 days, so it is suitable to bind the main account

lSamsung devices with Android 10 and above have good stability and frequent communication behavior

lDevices such as Infinix and Itel appear more frequently in batch registrations and have short active periods.

lThe active time of the Android emulator is fixed and the behavior pattern is highly repetitive.

Through this combined analysis, the system can automatically mark which device models have"Long-term online tendency", which devices are prone to "active breakage".

Device activity is not just a floating status field, it is a complete data structure basis. Only which devices are identifiedThere are really people using it, people interacting with it, and there are real behavioral tracks., can you decide whether the account you bind, the content you distribute, and the registration process you deploy are worth investing in.

The Digital Planet platform has served registration platforms, testing factories, advertising teams and social account operators in many countries through batch, structured and automated active device detection capabilities. If you are facing problems such as unstable account quality, high registration exception rate, and uncontrollable device structure, immediately access the device active status detection system to quickly identify high-value device resources and improve your business stability and conversion capabilities.

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.

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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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