How to screen high-interaction Korean LINE accounts? Don’t mix account activity and real interaction

South KoreaIn LINE user filtering, "account exists", "account is active" and "customers have recently interacted" are actually three different things. If you really want to find high-interaction customers, you can't just look at whether LINE is open, but also judge it based on recent replies, inquiries, orders, and customer service records.

LINE has been opened, which only means that there is a communication basis

A Korean mobile phone number was detectedLINE account, the most direct explanation is that this number has a corresponding LINE account basis.

But this cannot be deduced to:

lUsed every day recentlyLINE;

lWill definitely reply to messages;

lRecently interested in products;

lBelong to high-interaction customers;

lThe purchase intention is very strong.

For example, both customers have already activatedLINE, one actively inquired yesterday, and the other has not made any new actions in a year, obviously cannot be placed at the same priority.

soLINE activation status is more suitable as a channel label rather than directly as customer activity.

"High interaction" is best judged from real business actions

The real value of high-interaction accounts is that customers have actually had contact with the business recently.

For example, recentlyThe following situations have occurred within 30 days:

Send messages proactively

Customers inquire about prices, products, delivery dates or services themselves.

Reply to sales

Instead of simply receiving a message, a conversation actually occurs.

Submit form

Re-leave the request from the official website, advertisement or event page.

Order occurs

Continue to communicate when there are new orders, repurchases or after-sales.

Contact customer service

Proactively ask questions about products, logistics, usage, or collaboration.

These behaviors are more than simple"LINE account existence" is closer to real interaction.

You can put KoreaLINE customers are divided into three levels

There is no need to make customer labels particularly complex, simple layering makes them easier to use.

The first level: recent real interactions

There have been recent replies, inquiries, orders, or customer service communications.

This type of customer is closest to a true high-engagement user.

Second level:The LINE account is normal, but there has been no recent business activity.

The channel is still there, but there has been no new customer behavior recently, so normal maintenance can continue.

The third level: historical accounts or no interaction for a long time

existed beforeWith a LINE account, there may have been business relationships, but there have been no new replies or requests for a long time.

This type of data can be retained, but it doesn’t need to always be at the forefront of sales.

This method of division is simpler than writing"High activity" and "low activity" are easier to explain.

Digital planet canSort out the LINE account status first

When there are a large number of Korean mobile phone numbers, manual confirmation is required one by one.LINE accounts will be very slow.

Digital Planet can help with bulk organizationThe platform account status corresponding to the LINE number, and existing customer numbers are classified according to the corresponding detection results.

For example, the original customer information only contains:

South Korea + mobile phone number + official website consultation

South Korea + mobile phone number + historical orders

South Korea + mobile phone number + event registration

ReplenishAfter the LINE related status, it can become:

Korea+LINE account status + official website consultation

Korea+LINE account status + historical orders

Korea+LINE account status + event registration

In this way, sales can at least first know which customers haveLINE communication portal.

As for who is a high-interaction customer, we must continue to look at the company's own recent business records.

High interaction cannot be judged by avatar and complete information

A LINE account has an avatar, a complete nickname, and rich personal information. It does look more "like a real person" than a blank account.

But this information cannot directly prove that the customer has been active recently.

Real users may not change their avatar for a long time, and some may have complete information but have not had any business interaction with the company for several years.

so:

Have avatar ≠ High interaction

Nickname complete ≠ Recently active

Account exists ≠ Recent demand

Avatars and profiles can help identify accounts, but high interaction should return to actual chat and business behavior.

More recent replies than"Recently online" has more business value

This field is very useful if the company's own system has recorded the last reply time of the customer.

For example:

clientA: LINE has been opened and I responded proactively yesterday;

clientB: LINE has been opened, no reply for 90 days;

clientC: LINE has been opened and there is no business record for half a year.

If sales can only handle a limited number of customers today,A should naturally be ranked first.

In contrast,"Whether the account may be online" is only the technical or platform status, and the actual generation of responses is the business result.

Do not use the same tag for active accounts and highly interactive customers

These two concepts are best kept separate.

Account active

More biased towards platform usage status.

High customer interaction

It prefers the real relationship between enterprises and customers.

A user may frequently useLINE, but never responded to your business messages.

Another user doesn't usually show up, but recently took the initiative to inquire about the product.

From a sales perspective, the second person may be more valuable.

Therefore, the client library can be saved separately:

LINE account status;

Last reply time;

Last consultation time;

The most recent order;

Current sales stage.

This is better than just doing oneThe "Activity" field is clearer.

Different time ranges can correspond to different operating rhythms

If there is a lot of customer data, you can simply cut it into segments based on the most recent interaction time.

For example:

Interaction within 7 days

Suitable for priority processing, especially those who have already generated clear inquiries.

8-30 days to interact

You can continue to follow up normally and determine the next step based on the content of the last communication.

No new actions for 31-90 days

Entering into routine maintenance, no frequent contact is required.

No interaction for more than 90 days

Retain it as a historical customer, and then increase the priority until new proactive behaviors appear.

This time frame is not a fixed standard and can be adjusted according to the product sales cycle.

High frequency consumer products and largeB2B projects should not use exactly the same customer activity standards.

Orders and inquiries are best given a higher weight than ordinary chat

A high number of interactions does not mean that the commercial value must be high.

Some customers chatted a lot, but never had clear needs; some customers only sent two or three messages, but directly asked for quotations and purchase quantities.

So if you want to give it to South KoreaLINE customers are prioritized and can continue to be differentiated according to business significance.

For example:

high priority

Actively inquire for quotations, purchase consultation, place new orders, and clarify cooperation needs.

medium priority

Normal replies, product consultations, and continued communication after the after-sales.

Ordinary maintenance

Ordinary chats, event interactions, and no clear business needs for a long time.

This won't happenThe misjudgment of “whoever has more information is a high-value customer”.

Customers with historically high levels of interaction may also slowly become silent

A customer talked a lot with sales last year but did nothing new this year, then"Historical high interaction" cannot always be regarded as current high interaction.

It's better to add time to the interactive state.

For example:

High interaction in 2025;

No reply in the past 90 days in 2026;

Current status: historical active customers.

In this way, the salesperson will not mistakenly think that this customer is still in the high interaction stage.

Customer status should be updated as real business changes occur.

South KoreaLINE customer information can be organized very easily

When it is actually used by sales, there is no need for dozens of complex fields.

It is enough to retain this basic information:

lnation;

lPhone number;

lLINE account status;

lCustomer source;

lLast reply;

lThe most recent inquiry;

lThe most recent order;

lCurrent customer stage.

For example:

Korea+LINE account is normal + inquire 3 days ago + follow product A

Korea+LINE account is normal + no reply for 45 days + historical customer

Korea+LINE account is normal + order completed yesterday + after-sales stage

Korea+LINE account is normal + no interaction for half a year + historical maintenance

After seeing it, the salesperson basically knows who to deal with first today.

"High interaction" ultimately depends on whether the two parties have real contact.

South KoreaLINE account screening can first solve basic issues such as whether the account exists and whether the number can correspond to LINE. However, to truly judge high interaction, it still depends on whether the customer has recently actively responded, inquired, placed an order, or conducted other real business activities.

Account status is the entrance to communication, and interaction records are the customer relationship. After separating these two layers, South KoreaLINE customer data will be easier to classify, and users who have been silent for a long time will not be mistaken for highly interactive customers just because an account exists normally.

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