When doing user screening in the Korean market, many teams have recently begun to pay attention to a detail, not just whether the account exists or whether it is active in the short term, but whether the account has any traces of long-term use. This change may seem small, but it has a huge impact on actual conversions.
In the past, as long as the account was available, you could enter the contact process, but now it is more likely to give priority to "stable users". This change directly affects the screening logic.
Why start paying attention to traces of long-term use
Judging from actual delivery and operational feedback, short-term active users are not necessarily stable. Some accounts are frequently used at a certain stage, but soon become silent. Such users are prone to discontinuous feedback when contacted.
Accounts that have been used for a long time usually have more stable behavior patterns. Even if the activity is not extremely high, it is easier to form continuous interaction. This kind of stability is especially obvious in the Korean market, because users have more fixed habits in using their accounts.
Therefore, instead of just looking at short-term activity, it is better to judge whether it has long-term usage characteristics.
What are the common characteristics of accounts that have been used for a long time?
During the screening process, such accounts tend to show some common characteristics.
The account has been around for a long time and has a stable usage cycle.
Active activities are evenly distributed rather than concentrated in a certain time period
Account information and usage status are relatively complete
The combination of these characteristics can help determine whether an account is of "continuous use" rather than short-term behavior.
Why short-term active users are not stable enough
Short-term active users are often concentrated in a certain time window, such as just registering or just participating in an activity. Such users may be active for a short period of time, but their subsequent behavior is uncertain.
In actual contact, such users may appear:
There was a response at first, but it was quickly interrupted.
Participation fluctuates widely
Difficulty forming continuous communication
Therefore, if you rely only on short-term activity data, the overall effect will be unstable.
What information can you see when checking your Kakao account?
In the actual screening process, although the complete usage history cannot be directly seen, the account status can be indirectly judged through several dimensions.
Whether to register Kakao
Is there any usage behavior?
Is the current status of the account normal?
Through the combination of this information, you can roughly determine whether the account has the basis for use, and then combined with the activity level, further screen out more stable users.
How to judge whether a user is worth investing in
In actual operation, the screening logic can be split into two steps.
First confirm whether the account is available
Then determine whether it has the characteristics of continuous use.
If an account is both usable and has stable usage behavior, it is more suitable as a key target. On the other hand, if it is only active for a short period of time, even if the data looks good, it needs to be used with caution.
When using Amman, it is more suitable to make this kind of screening judgment.
When processing Korean market data, it is difficult to stably screen out such users if you rely on manual judgment. A more practical approach is to complete the first round of judgment when the data enters the process.
Through Shi'anman, numbers can be tested in batches, the Kakao account status can be identified, and filtered based on activity levels. Through multi-dimensional results, we can get closer to determining whether the user is a long-term user.
This method can reduce misjudgments and make the data closer to real users.
The Korean market values stability rather than short-term activity
Judging from the overall trend, the Korean market’s requirements for user quality are increasing. Compared with short-term activity, what matters more is whether the account is stable and whether it can continue to communicate.
When the screening logic changes from "is it useful" to "can it be used for a long time", the data structure will change significantly. Although the quantity may be reduced, the use will be more efficient and the conversion will be easier to stabilize.
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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