On the Telegram line, many people will encounter a situation: they have a number, but the effect of using it is unstable. Some are able to communicate, and some have no response at all. The difference is not in the operation, but in whether the previous layer of screening is handled properly. By streamlining the screening process, we can quickly sort out a group of users who can use it directly instead of screening while using it.
The first step is to unify the data sources
Before you start sifting, sort out the data first. The quality of data from different sources varies greatly, and if they are directly mixed together for screening, the results will be unstable.
It is recommended to distinguish the data source first, for example:
- Self-collected data
- Channels to obtain data
- Historical precipitation data
Doing a simple sorting first can reduce the interference of subsequent screening.
The second step is to check the number status in batches
The first level of screening is to confirm whether the number is available.
Through batch testing, you can quickly screen out:
- Telegram number not registered
- Account in abnormal status
- Number not working properly
After this layer is processed, the remaining data meets basic usage conditions.
The third step is to screen out users with traces of usage
The existence of a number does not mean that the user is using it.
When filtering, you need to look at another level of usage, such as whether there is account information and basic usage records. The function of this layer is to filter out low-active users.
After filtering to this step, the data will shrink significantly, but the quality will be more concentrated.
The fourth step is to further screen based on the region.
Telegram users are widely distributed. If there are no restrictions on regions, the data will be easily dispersed.
You can filter based on your target market, for example:
- Specify country or region
- Match target locale
The data filtered out in this way is easier to use directly instead of splitting it later.
When you use Amman to do the screening, the process will be clearer.
In actual operation, Amman can handle the entire screening process in a unified manner:
- Enter the platform directly after registering an account
- Select the corresponding region and Telegram product
- Upload the mobile phone number data that needs to be detected
- The system returns detection results or interface callbacks in batches
This set of processes is relatively simple. From importing data to getting results, there is no need to repeatedly switch tools. Screen numbering and data sorting can be completed in the same process, and the efficiency will be more stable.
If the screening process is fixed, the data will be more useful.
When the sieve number step is fixed, the results of each batch of data processing will be closer, and there is no need to repeatedly adjust. The whole process can be simply understood as: first detect, then screen the usage status, and then do regional matching. After the process is clear, the data is no longer messy, but a group of users that can be used directly.
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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