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

existIn 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.

This is whyLine user stratification, Line age stratification, and Line user tag screening have recently seen a significant increase in discussions. Because the question is no longer whether to layer, but whether to layer, many operational actions themselves are prone to going astray.

WhyLine user stratification weight is getting higher and higher

The essential reason is that the efficiency of pan-user play is declining. In the past, a unified strategy might be able to cover most users, but now the user structure is more complex, and the same set of content and the same set of reach rhythms can often only be suitable for some of them.

especially doThis problem becomes more obvious when it comes to Line private domain operations, Line local promotion, and Line precise user screening. Young users focus on interaction, content rhythm, and participation, while mature users value information value, decision-making efficiency, and trust. If these two types of people operate within the same logic, the results will often be unsatisfactory on both sides.

soLine user stratification essentially solves the matching problem.

What is the difference between young users and mature users?

The first is the different ways of receiving content. Young users are generally more receptive to lightweight content, interactive content, faster-paced access methods, and are more sensitive to content forms. Mature users, on the other hand, tend to pay more attention to the value of the information itself and are not necessarily sensitive to content patterns.

Secondly, the conversion paths are different. Young users often interact first and then convert; mature users are often more likely to directly judge whether it is worth converting.

Another reason is that the user’s active behavior itself is also different. DoWhen filtering Line’s active users, we often find that the active structures of different age groups are different, which is why age stratification cannot be viewed just as labels.

Why the same play style is not suitable for two types of users

Because the gameplay is essentially designed around user behavior, not around the platform.

If an interactive style is used directly on mature users, it will often appear that the information density is insufficient; conversely, if a decision-making style is used directly on young users, interaction may not be achieved.

that's whyLine user stratification not only separates the groups of people, but also changes the subsequent operation methods.

If we only stratify the population and do not change our playing methods, the value of stratification will actually be discounted.

How should Line user stratification be made more reasonable?

From a practical point of view, it can be done from at least three levels.

The first level is age stratification. This is the basis. For example, young users and mature users should separate it first.

The second layer is active layering. Not all young users are highly active, and not all mature users are stable and active, soLine active user screening still needs to be done separately.

The third layer is behavioral layering. This one is more advanced, but it’s increasingly worth adding now.

This three-tier combination is much more stable than simply age stratification.

In this link, you can do it first through Digital PlanetLine user identification, Line active user screening, and then combined with age stratification to split the population, stratify young users, mature users, and highly active users, and then use them for different operational paths.

In this way, the effect is usually more stable than a single layer grouping.

Which scenarios are more suitable forLine user hierarchical operation

If it is only a very light touch, the layered value may not be so obvious.

But as long as it involves local services, private domain conversion, and community operations, such scenariosLine user layering is worth doing.

Because these scenes themselves rely on crowd matching.

Especially for high-customer single products and local life services, mature users and young users have different play styles. Without stratification, it is easy to waste traffic.

so notLine user layering is not suitable for these scenarios, but these scenes inherently require layering.

WhyLine user stratification has recently begun to act like a basic

In the past, many people understood user stratification as a refined operation upgrade action.

Now it's more and more like basic movements.

The reason is very simple, because without layering, many basic operational actions themselves are prone to failure.

This is actually very similar to the previous active user filtering change from optional to basic.

When an action changes from an optimization to a necessity, it enters the basic process.

Line users are stratified and are now heading in this direction.

Line's operating logic has actually changed from traffic thinking to hierarchical thinking.

In the past, the focus was on user scale, but now the focus is on user structure.

In the past the focus was on reaching more people, now the focus is on reaching different people in different ways.

This is actuallyChanges in Line operating logic.

Young users and mature users play differently, not because there are more tags, but because the user differences are already there, but now they have to be dealt with seriously.

andLine user stratification essentially turns this difference into operable filtering logic.

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