Device model batch screening guide: One-click filtering of low-active and risky account devices

operating on a large scaleWhen using accounts on social platforms such as WhatsApp and Telegram, the “device quality” of the list often determines the subsequent reach effect. Especially before using mobile phone number pool, user library or third-party account resources, complete it in advanceDevice model batch screening, can significantly improve the conversion rate, reduce the account suspension rate, and avoid resource waste.

This article will focus on the practical logic of equipment model screening, explain clearly how enterprises can effectively screen out low-active equipment and high-risk equipment models when conducting batch operations, and establish a set of"Available account priority pool".

Common symptoms of low-quality device accounts

Encountered in operationThe phenomenon of "invalid account" is not caused by invalid numbers, but is related to the mobile phone model bound behind it. The following device accounts should often be eliminated directly:

lThe device model is empty and the format is abnormal. It is suspected to be an emulator or script device.

lUse cheap Android devices and copycat models with short life cycles and unstable systems

lThe same model appears repeatedly in large quantities, and it is suspected that the registration machine accounts

lThere is a serious mismatch between the mobile phone model and the system version, and there is a risk of camouflaging or rewriting information.

lThe device is an older versioniOS or early Android versions have poor running compatibility

Even if these accounts"Registration successful" is also very likely to result in message delivery failure, system error, and user unresponsiveness.

The core logic of screening: brand+Model+version combination identification

Device model screening is not just about comparing model names, but should also be combined with device brands, sub-models and system versions for triple matching. It is recommended to adopt the following logic:

lBrand prioritization:

Apple/Samsung/Xiaomi (main force)

Huawei / OPPO / Vivo (secondary main force)

Lenovo/Itel/Tecno/Unbranded devices (low priority)

lModel strategy judgment:

Priority will be given to models launched in the latest two years;

Use mid- to low-end entry-level models with caution;

Devices not in the public model library are considered high risk.

lSystem version linkage judgment:

Android 13 and above, iOS 16 and above are more stable;

Devices below Android 9 and iOS 13 should avoid this as much as possible.

This three-dimensional combination helps to accurately identify"Available Device Accounts" and "High-Risk Accounts".

Practical recommendation: How to complete equipment model identification in batches?

Using detection platforms such as Digital Planet, the batch identification and screening process can be easily completed:

1.Upload mobile phone number or account list

Platform supportTXT/CSV format import, automatic verification of format and country code.

2.The system identifies the bound device model

The platform calls the global device library and historical registration paths, and automatically returns the brand, model, and system version fields.

3.Filter device types and tags

The system classifies equipment according to the risk library into: high stability equipment/Common Devices/High Risk Devices.

4.Export filter results

Users can export filteredThe "recommended account pool" is used for placing or registering on WhatsApp, Telegram, LINE and other platforms.

Scenario application: Why can screening out low-model devices improve the success rate?

lReduce message failure: Low-end devices often cannot receive or open messages due to system compatibility issues.

lImprove account stability: The platform trusts accounts bound to mainstream and high-configuration devices more, reducing the false blocking rate.

lEnhance user response rate: High-profile users generally have more active social behaviors and faster conversion actions.

lSave shipping costs: Don’t waste resources on invalid devices and avoid text messages/messages/bot runs on empty.

Efficient filtering suggestions

lBefore marketing, do a round of cleaning of the account device model, even if it is only screened out10% of low-quality equipment can improve overall operational performance by more than 30%.

lThe screening strategy should not be too extreme, and only medium-sized models should be reserved.AB testing, gradually optimizing screening criteria.

ldockingThe API interface realizes the automation of device screening and embeds it into the registration, delivery, inventory and other links.

Device model batch filtering is not a"Redundant steps" are key links that determine the "data cleanliness" of the underlying marketing system. The sooner this step is done solidly, the later registration, reach, connection building, and conversion will have a solid data foundation. Through professional platforms such as Digital Planet, you can transform the dimension of device model into executable filtering conditions, so that the account resource pool can truly be used by you.