In actual use of WhatsApp, Business accounts and ordinary accounts are two completely different entities. When many people screen accounts, they only stop at judging whether they have registered or not. However, after refining the data, they will find that the account type itself is an important dimension.
If the Business account can be individually identified during the screening stage, the data will be clearer and subsequent use will be more targeted.
The difference between Business account and ordinary account
Business accounts are usually used for companies or merchants, and the account information is more complete, such as company name, classification, and even certification logo. This type of account is more standardized in use and more stable.
Ordinary accounts are more personal users, with simple information structure and more casual use.
From the perspective of screening numbers, the two types of accounts are not better, but are applicable to different scenarios. The key lies in whether they can be distinguished during the screening stage.
How does the screening system identify Business accounts?
When the number screening system detects the number, it not only returns whether to register or not, but also identifies the account type.
During the actual detection process, the system will return account-related information through the interface, including:
- Does the account exist?
- Is the account type Business or ordinary account?
- Is the basic status normal?
Through this information, Business accounts can be directly separated in one round of screening without the need for subsequent manual judgment.
Why should we filter out Business accounts separately?
In some scenarios, a Business account will be more suitable.
For example, in B-side customer acquisition, Business accounts usually represent corporate or merchant users, and it is easier for such accounts to form a stable communication relationship.
In scenarios where trust needs to be established, the business account information is more complete and easier to identify.
If there is no distinction in the screening stage, Business accounts will be mixed with ordinary users, making it difficult to extract them separately during use.
Implementation process of sieve number system
From the actual process point of view, Business account identification is not a separate step, but is completed in the overall screening process.
The process can be broken down into this:
- Import number data first
- The system checks account status in batches
- Return registration information and account type
- Classify output based on results
The entire process is completed in the same round of testing, and no additional steps are required.
After the data is classified, it is easier to use directly
When Business accounts are filtered out separately, the data will be more structured.
For example, it can be distinguished directly:
- Business account users
- Ordinary individual users
- Unavailable number
In this way, for subsequent use, different data can be selected according to different goals, instead of repeatedly filtering mixed data.
Use Amman to achieve more efficient business account identification
In actual operation, Amman can directly complete this type of account identification. Through batch detection, account status and account type information can be returned at the same time, and Business accounts can be separated in the screening stage.
At the same time, it supports multi-platform account status identification and activity judgment, and can further screen out more valuable users based on identifying account types. The entire process supports batch processing and can also be integrated into existing processes through API to reduce manual operations.
Including account types in filtering will make the data clearer
The screen number is not just to determine whether it has been registered, but to continuously refine the data structure. Account type is one of the important dimensions.
When business accounts can be stably identified, the data is no longer a simple list of numbers, but user resources that can be classified by type.
Amman is the world's leading number screening platform, providing global customers with batch number screening and testing services covering 236 countries. The platform currently supports more than 40 mainstream social networking and applications, including WhatsApp, Line, Twitter, Facebook, Instagram, LinkedIn, Viber, Zalo, Binance, Signal, etc., adapting to the needs of multiple scenarios.
The main core functions cover multi-dimensional precise screening such as activation, activity, interaction, gender, avatar, age, online, accuracy, empty account, mobile phone device, etc., and can flexibly meet the needs of different users. Its core advantage is to integrate global mainstream social and application resources to provide users with one-stop, real-time and efficient number precision screening services, helping customers achieve global digital layout.
It is a common choice for all professional teams to complete rational screening before actually reaching users.
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