How to organize Japan’s LINE customer resources, don’t use them directly for group messaging

Japanese marketOnce the number of sources of LINE customer data increases, the problem is often not in obtaining it, but in using it. Mobile phone numbers, historical customers, activity lists, and channel data are mixed together. Without a sorting process, it will be difficult to achieve stable results through direct mass sending.

Without processing the data, sending will become a matter of chance. Organizing this step is actually turning uncertainty into controllable.

originalSeveral common problems with LINE data

When you get a batch of Japanese mobile phone numbers or customer lists, you can first take a brief look at the structure. Usually there are these situations:

l The number format is not uniform, some have area codes and some do not.

l The same customer appears repeatedly

l Some numbers are not activatedLINE

l Some accounts have not been used for a long time or have abnormal status

If these problems are not dealt with and directly imported into the system, there will be two results: First, the success rate of sending is unstable, and second, it is difficult for customer service to judge which people are worthy of continued follow-up.

Why can’t you send it directly to the group?

There is nothing wrong with mass sending itself. The problem is that the recipients are not filtered.

Directly using raw data to send mass messages will usually result in:

l Some numbers cannot be sent out

l Some users don’t respond at all

l Effective customers are drowned in low-quality data

When these situations are superimposed, it is easy to misjudge it as a content problem or a channel problem, but in fact it is a problem with the data itself.

A practical data collection process

tidyLINE customer data does not require complex systems and can be run through with a fixed process.

The first step is to unify the format

Unify all numbers into the Japanese area code format to avoid errors in detection and sending.

The second step is to remove duplicates

Only keep the same number once to avoid repeated contact.

The third step is basic testing

Confirm which numbers are availableLINE accounts, which are not eligible for access.

The fourth step is simple layering

Separate data by availability and basic activity to prepare for subsequent use.

After these four steps are completed, the data changes from its original state into a usable structure.

During the sorting process, unusable data should be cleared first

Many teams will slowly screen after importing, but a more efficient way is to complete the detection before importing.

In actual operation, you can first use Digital Planet to do screen number detection, and thenLINE, unavailable or abnormal data are filtered out before entering into subsequent sorting and stratification. Digital Planet supports free trial screening test.

This can avoid the accumulation of a large amount of invalid data in the system and reduce back-end judgment costs.

Do not use the organized data at once

After the data is sorted, it is not recommended to send it all at once.

A more stable way is to use it in batches:

l The first batch of users who are available and relatively active will be given priority

l The second batch serves as supplementary data

l The remaining data will be processed according to the situation.

In this way, the effect of each batch of data can be seen more clearly, and it is also easier to adjust the strategy.

Data of different quality needs to be processed in different ways

The sorted data can be simply divided into three categories for use.

high quality data

Prioritize it for private chat or focused communication, with the goal of quickly promoting conversions.

medium data

It is suitable for content reaching and slowly screening out interested users.

low quality data

It is not recommended to invest too many resources and can be used as backup data.

If all data is used uniformly, it will be difficult to improve efficiency.

Data needs to be updated continuously rather than sorted out all at once

LINE data is not static, user status will change.

For example:

l The originally available account becomes low active

l User changes usage habits

l New data keeps coming in

Therefore, the finishing process should not be done only once, but needs to be repeated periodically. This ensures that the data is always available.

A common misunderstanding is to attribute the problem to the delivery method

When the mass sending effect is not good, many teams will give priority to adjusting the sending content or time, but if the data itself is not sorted, it is difficult for these optimizations to work.

A more practical order would be:

First organize the data, then test the sending method, and finally optimize the content.

The core of data organization is to make every step more confident

tidyLINE customer resources essentially reduce uncertainty.

When the number format is unified, the usability is clear, and the data layering is clear, it will be easier to judge the effect and adjust in every subsequent step.

Instead of constantly increasing the number of sendings, it is better to sort out the data first. In this way, every contact will be closer to real users.

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