What scenarios are LINE account filtering suitable for? From local customer screening to private domain operation efficiency improvement

LINE has always been a very stable social networking tool in many Asian markets, especially in Japan, Thailand, Taiwan, and parts of Southeast Asia. The long-term usage habits of local users are very obvious. Many teams will use LINE as a key communication portal when doing local services, e-commerce, membership operations and private domain promotion. But as the amount of data increases, more and more teams begin to discover that what really affects operational efficiency is no longer just the number of friends added, but the quality of accounts.

I have received many projects in the pastAfter the LINE data is generated, it will be directly imported into the system for group sending or group messaging. But now more and more people are starting to add a step: do account filtering first. Because although many accounts exist, it does not mean that they have been active for a long time, nor does it mean that they are worth investing customer service resources. If there is no screening at the front, the private domain and customer service will become more and more important later.

WhyLINE accounts cannot be directly imported for operation

Many teams have just started to doWhen promoting LINE, it will be assumed by default that as long as the account exists, you can enter the back-end system. But the reality is usually not that simple. Many lists will contain long-term silent accounts, low-active users, short-term registered accounts, and abnormal data.

Although these accounts can still add friends, subsequent interactions will become weaker and weaker. If a large amount of low-quality data enters the system, the most direct result is: the volume of sending is large and the response rate is very low; there is a lot of customer service work, but there are very few real effective customers; there are many group members, but the long-term activity is getting worse and worse.

So now more and more teams are beginning to put account filtering in front of operations, instead of slowly eliminating it later.

What exactly does LINE account filtering filter?

When many people come into contact with filtering for the first time, they think it only deletes duplicates or empty numbers. But really long-termPeople who operate LINE usually watch at the same time:

Account status;

long-term activity;

online behavior;

User quality;

Traces of long-term use.

Because what really affects the subsequent results is not just whether the account is opened, but whether the user continues to use it.

For example, some users have been online for a long time and have stable interaction frequency; although some users have accounts, they rarely open them.LINE. The operational value behind the two will be completely different.

Why local customer development is increasingly relying on active screening

Many scenarios in LINE involve long-term communication, such as:

Local service appointments;

Member maintenance;

E-commerce repurchase;

private community;

Customer service takes over.

The biggest feature of these businesses is that they require long-term interaction. If a large number of low-active users enter the front end, the private domain behind will become increasingly difficult to maintain.

Many teams will later discover that the people who can really convert in the long term only account for a part of the user pool. Rather than continually expanding the list, it’s better to filter out highly active users first.

So now more and more people will:

active state;

long-term behavior;

device tag;

Regional attributes;

put togetherIn LINE filtering logic.

Why is it increasingly difficult for unified mass messaging to be effective?

In the past, many teams were used to unified management.

All users:

Unified import;

Unified mass sending;

Unified customer service.

But now this method is becoming more and more difficult to achieve stable results. Because the differences between different users are getting bigger and bigger. Some people are online for a long time, and some people hardly reply; some people are suitable for private chat, and some people are more suitable for communities; some people will continue to interact, and some people only join for a short time.

If all users use the same operating method, the private domain behind will become increasingly chaotic.

Therefore, many mature teams will now do:

Account filtering;

active stratification;

User tag classification.

Then decide the pace of subsequent operations.

What scenarios is LINE filtering suitable for?

LINE account filtering is more suitable for local customer development, membership system, e-commerce repurchase, private community and long-term customer service scenarios. Because these businesses rely on continuous communication, if the quality of the users themselves is unstable, subsequent conversion and maintenance costs will continue to increase.

For example, local service projects can prioritize retaining highly active users; the membership system can focus on screening long-term online users; community operations are more suitable for filtering out silent accounts and low-quality users in advance.

After doing this, subsequent group activity, private chat replies, and long-term retention will be much more stable.

Processing data before filtering provides more stable quality

The problem for many teams is not that there is no traffic, but that the data structure is confusing. If a large number of duplicate accounts, abnormal numbers and long-term silent users are mixed into the list, subsequent operational efficiency will become increasingly lower.

In actual operation, you can first use Digital Planet to do screen number detection, filter low-quality data in advance, and then combine active status and long-term behavior labels for further stratification. Digital Planet supports free trial screening test. Like this behindLINE’s private domain and customer service system will be much more stable.

LINE operations increasingly focus on high-quality user management

In the past few years, many teams were more like competing for quantity. Whoever adds more people, whoever gathers groups faster, and whoever covers a wider area will have an easier time getting traffic. But now more and more people are paying attention to who has more long-term active users and who has a higher proportion of high-quality users.

Because what is really important in the future is no longer the number of accounts, but long-term operational users.In the future, LINE account filtering will increasingly focus on user quality identification, long-term behavior analysis and screening of highly active users, because what really determines the results of private domains is never the size of the list, but the corresponding people behind it.

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