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20

2026-04

Is Line user stratification more important recently? Do young users and mature users play differently?

In Line user operations, user stratification has indeed become more and more important recently. In the past, many people promoted Line, preferring to treat users as a whole. As long as they are active Line users and Line activated users, they will be reached and operated in a unified way. But now the effect of this method is becoming more and more unstable, because the differences between young users and mature users among the same Line users are becoming more and more obvious in terms of behavioral habits, content acceptance methods, and conversion paths.

15

2026-04

How to screen Line users? Are Japanese female users over 25 years old easier to convert?

When doing line promotion in the Japanese market, crowd structure is often more critical than the placement of materials. Especially in local life and consumption scenarios, people of different ages and genders have obvious differences in how they accept content and their conversion paths. The reason why female users over 25 years old are frequently mentioned is that this group of people shows more stable consumption behavior in multiple industries.

14

2026-04

Line's local promotion has recently placed more emphasis on users with real avatars. Can such accounts be identified in batches?

In Line's local promotion scenario, user trust is gradually becoming an important factor affecting conversion. Compared with pure registration status or number of accounts, the judgment of account "authenticity" has begun to be given a higher priority. Among them, whether you have a real avatar has become an intuitive but critical reference dimension.

07

2026-04

Screening of LINE highly active users: private domain transaction rate increases often start from this step

In LINE private domain operations, a problem that is easily overlooked is that there are many users, but not many people actually convert. The message was sent and read, but there were few replies and even fewer transactions.

30

2026-03

When cleaning Line customer data, how to filter users who have not logged in for a long time?

When using Line for customer contact or private domain operations, data quality often determines the overall effect. Many people will find that they obviously have a batch of Line numbers in their hands, but the add approval rate is low, the message replies are few, and there is even no feedback after sending a large number. The problem does not lie in the channels or words, but in the data mixed with a large number of users who have not logged in for a long time.

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