When doing business in the Korean market, KakaoTalk is almost an unavoidable channel. But many people will encounter a problem in actual operations: where does the data come from, and why the obtained data is unstable to use.
If you simply look for ready-made data, the quantity is often limited; if you directly use generated numbers, you will encounter a large amount of invalid data. A more practical approach is to treat generation and screening as a complete process rather than looking at them separately.
The starting point of data acquisition: how to solve the source of numbers
KakaoTalk is essentially a communication tool based on mobile phone numbers, so the entry of user data usually starts with the number.
Common ways include:
- Obtain a batch of number data through channels
- Generate numbers in batches based on rules
- Expand with existing data
Among them, the method of generating numbers is more suitable for enlarging the data scale, but this layer only expands the scope and does not mean that the data is already available.
Why can’t I use the number directly after generating it?
Many people will try to use it directly after generating the number, but will soon discover problems:
- Some numbers are not registered with KakaoTalk
- Some accounts exist but have not been used for a long time.
- There is also a part of the data itself that is invalid or abnormal.
If not filtered, the data will all be mixed together, making it difficult to determine which ones are valid when used.
Therefore, after generation, a screening process must be followed to change the data from "quantity" to "available".
A clearer screening process
From generating numbers to available users, it can be processed in one order:
- First do a number test and filter out obviously unavailable numbers.
- Then determine whether to register for KakaoTalk and only retain users with existing accounts.
- Finally, screen the activity level to filter out accounts with low usage frequency.
Through these steps of processing, the data will gradually shrink, but the quality will be significantly improved.
Several problems that easily arise during the screening process
In practice, there are several common situations that will affect the results:
- Data sources are not uniform and quality fluctuates greatly
- Region mismatch, resulting in users not being in the target market
- The proportion of active users is low and the overall effect is unstable
If these problems are not dealt with at the screening stage, it will be difficult to make up for them through operations later.
Integrating generation and filtering will be more efficient
If generation and screening are separate processes, there will often be repeated operations in the middle, such as data import back and forth, repeated testing, etc., and the efficiency will be relatively low.
A more reasonable way is to directly enter the generated data into the screening process and complete the processing in one go.
In actual use, Shianman can be used to batch test the generated numbers to directly determine the KakaoTalk registration status and account activity. Filtering and data wrangling are completed in the same process, with no additional splitting steps required.
The key step from "generable" to "usable" data
Generating numbers is only the first step, screening is the key to determining data quality.
When the screening process is stable, the data will change from its original mixed state to a clearly structured part. It will be easier to find users who have feedback when using it, and there will be no need for repeated trial and error.
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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