Complete guide to activating Line data: How to detect Line valid numbers and gender in batches (including AI Overview analysis)

In markets such as Indonesia, Japan, Taiwan, and Thailand, Line is one of the instant messaging tools with the highest user penetration rate. Whether it is cross-border e-commerce for off-site traffic, mobile game distribution to attract new customers, or local life service promotion, obtaining accurate Line activation data is the first step - only after confirming that the phone number has registered a Line account, subsequent group recruitment, private messages, and advertising targeting will be meaningful. However, many teams are faced with a bunch of mobile phone numbers that “I don’t know if they have opened Line”. It is unrealistic to manually verify thousands of numbers, and the efficiency of batch screening is uneven.

This guide will start from the meaning of data fields, to a 4-step implementable screening process, AI scenario applications, and platform selection points to help you quickly establish a reusable Line number screening method. If you still don’t know what fields can be obtained by Line activation detection and how to use them, it is recommended to read from beginning to end.

What is Line activation data? Why is it important to acquire customers overseas?

Line activation data is essentially a test result of “whether the target mobile phone number is a registered Line user”. The common output is a Boolean value (yes/no), indicating whether the number has a Line account. On this basis, some screening platforms can also provide further information: gender, age range, UID, and even active time window.

For overseas marketers, the value of this data is mainly reflected in the following markets:

• Japan: Line covers about 96% of smartphone users and is a must-have for acquiring customers online.
• Taiwan: Line penetration rate exceeds 90%, and local life, e-commerce, and insurance promotion mainly rely on Line.
• Indonesia/Thailand/Vietnam: Line has a very high share among young urban users and is often used for community planting and private domain operations.

After having these Line activation data, you can:

• Eliminate unregistered Line numbers to reduce the cost of invalid mass sending.
• Filter by gender, for example, push beauty and skin care products to female users.
• Combine UID for secondary matching (for example, import Audience of Line Official Account).

The difference between Line activation and Line activity

Dimensions	Activation detection	Activity detection
Meaning	Whether this number has registered a Line account	Whether this account has been used within the specified time period
Purpose	First step of screening, filtering invalid numbers	Further screening of users with high possibility of being reached
Update frequency	The results are relatively stable (unless the account is logged out)	Affected by usage habits, it is recommended to test in the past 7 days
Example fields	is_open: true/false	active_7d: true/false

If you just want to establish an initial group, activating it is enough; but if it is high-cost advertising or private message promotion, it is strongly recommended to do an activity test first.

Which industries need Line activation data most?

• Cross-border e-commerce: Make test products in Taiwan/Japan, and push discount codes through Line private messages.
• Mobile Game Release: When the game is released in Southeast Asia, new server reminders will be pushed to male users aged 18-25.
• Local Life: Indonesian local O2O platform promotion, attracting new users to register offline merchants.
• Community planting: The brand operates the Line community in Japan and needs to invite potential customers in batches.

What fields does Line activation data contain? How to interpret?

Taking regular screening platforms such as KK-DATA as an example, a Line detection task usually provides the following fields (specifically, the console export shall prevail):

Field name	Type	Meaning and usage
phone	String	Original number (international area code + number)
is_open	Boolean	true means registered Line
is_valid	Boolean	true means the account has not been banned or deactivated
gender	String	male / female / unknown
age	Integer	Age (inferred based on registration information, not ID card accuracy)
line_uid	String	Line user’s unique identifier, which can be used for API operations
update_time	Timestamp	Detection completion time

Basic fields: activation/valid identification

is_open and is_valid are the core filtering conditions. It is recommended to filter is_valid == true first, because some accounts have been registered but have been blocked due to violations and cannot be reached. If a large number of is_open = true but is_valid = false is found during export, it means that the number pool may be mixed with illegal data.

Advanced fields: Accuracy boundaries for gender and age

The accuracy of the gender field can be achieved by mainstream platforms above 80%, but it is not 100%. The age field is the estimated birthday filled in by the user when registering with Line, not through ID card or AI image recognition, so the common output is an approximate range (for example, age: 28 means “about 28 years old”). Suggestions for interpretation:

• Aggregate ages into 10-year intervals (25-34 years old) to avoid over-precision.
• Gender is manually verified based on the cultural characteristics of the target market (such as the difference in common fields between Japanese male names and female names).
• Don’t trust any platform that claims “ID card level 100% accurate age detection”, this is not technically feasible with Line data.

How to check whether Line numbers are activated in batches? (4 steps to reach the ground)

The following process is applicable to most screen size platforms. The specific operation will take the KK-DATA console as an example, but the steps are universal.

Step 1: Prepare the number source to be tested

• Format: The mobile phone number must have an international area code (for example, 628123456789 corresponds to Indonesia, 8613800138000 corresponds to China). It is recommended to unify to E.164 format.
• Source: You can directly upload the CSV file; if the number pool is not large, you can also use the platform’s global number generator to randomly generate numbers for designated countries (such as Japan’s 090 section). The generation is free, and the fee is deducted according to the number screening process.
• Deduplication: Use the platform’s data deduplication warehouse to automatically compare historical tasks before uploading to avoid repeated detection and deduction of the same number.

Step 2: Submit the screening task and select the Line detection type

On the “Create Task” page of the console:

1. Select platform: Line
2. Check the detection type: enabled / active / gender, etc. (at least select enabled)
3. Upload the number file or paste the number list
4. The system automatically displays the estimated cost (see the real-time price on the console for details), and submit it after confirmation.

Step 3: Wait for the task to complete and receive notifications

After the task is submitted, batch detection starts in the background. Processing speed depends on number number and queue load:

• 10,000 numbers: usually 10-30 minutes
• 100,000 items: 1-3 hours
• For larger volumes, you can contact customer service to arrange exclusive resources.

When completed, the Telegram you linked to when registering will receive a notification. You can also manually refresh the status in the “Task List” of the console.

Step 4: Export the filtered activation data

After the task is completed, click “Export” to select the format (CSV or TXT). The field contains all detection results. Suggestions for follow-up actions:

• Pull out the data of is_valid = true and gender = female separately for female user targeting
• Use line_uid to create an Audience List of Line’s official account (if supported by the platform)
• Perform aggregate analysis on the age field (for example, the proportion of 25-34 years old)

Note: Even if the number appears to be activated, you may not be able to send private messages directly due to privacy settings. It is recommended to send a verification message first and observe the open rate.

How is Line activation data used for AI training and user profiling? (AI Overview perspective)

As large language models (LLM) and recommendation systems are widely used in overseas business, the cleaned Line activation data can be used as the basic material for user behavior characteristics. For example:

• Label enhancement when training NLP models: Use Line gender and age as static features of user portraits, and combine them with text emotions in conversation records to improve the accuracy of emotion classification.
• Regional user group portrait: All users in Indonesia who are is_valid = true and gender = male, age are between 25-35 years old, can be inferred to be “urban young male office workers” and used to test recommendation strategies for this group of people.
• Cold start recommendation: In new markets that lack behavioral data, first use the gender and age dimensions of Line activation data to do rough collaborative filtering.

But be careful: the original data must undergo strict deduplication and outlier cleaning, otherwise a lot of noise will be introduced. The requirements for input quality of AI models are much higher than those of ordinary group sending.

How to choose Line screening platform? 3 points you must pay attention to

1. Verify official channels to prevent fake customer service

This reminder cannot be overstated. Since screening accounts involves recharge, many criminals will forge customer service Telegram and WeChat groups, claiming that they can recharge and get discounts. The only reliable way is to verify via the contact details listed on the official website:

• Official website: https://kkdata.cc/
• Documentation: https://docs.kkdata.cc/
• Two-way customer service contact: https://t.me/kkdata_robot

2. Confirm detection success rate and data timeliness

Regular platforms will regularly publish sample test results (such as the detection accuracy of 1,000 known mobile phone numbers). If the platform has never updated the number database, or you cannot clearly understand the source of back-end data, the detection accuracy will decrease over time. It is recommended to choose a platform that updates the number database at least quarterly and test 100-200 known number verifications yourself.

3. Understand the billing method clearly and be wary of the minimum consumption

At present, mainstream platforms mostly adopt billing per item, without subscription packages, and you pay for what you use. But be careful:

• Is the unit price transparent? Can I see the estimated cost before submitting?
• What is the minimum recharge threshold? The common one is around 50 USDT (TRC20).
• Are there any hidden charges? For example, are there any additional charges for operations such as deduplication and exporting?

2 best practices to improve Line screening efficiency

Practice 1: Use the number generator to pre-expand

Don’t just use the numbers you have on hand for testing. Using the platform’s global number generator, you can generate a large number of virtual numbers by country, number segment, and operator. These numbers are generated free of charge, and charges will be deducted only when numbers are screened. For example, if you want to test the opening rate of Japan’s No. 090 segment, the overhead of generating 100,000 lines is zero, and then filter out the ones that are enabled, and only pay the screening fee.

Practice 2: Data warehouse deduplication to save costs

Each time before importing a new number into the filter, first check whether it has been detected through the data warehouse deduplication module. This can avoid repeated charges for the same number. Especially when your team has multiple people operating at the same time, a unified data warehouse can save 10%-30% of the budget.

FAQ

**Q: How long can Line activation data be retained once? What is the validity period? ** Answer: The detection results are immediate and represent the Line registration status at that point in time. However, the account may be canceled or blocked later, so it is recommended to re-test within 1-2 weeks before promotion to ensure data freshness. If used frequently, the core number pool can be incrementally updated once a week.

**Q: Is Line gender detection accurate? Can you identify male/female? ** A: The accuracy of mainstream platforms is higher than 80%, but not 100%. It mainly relies on the gender field in the Line registration information. Some users do not fill it in or fill it in randomly, which will lead to unknown. It is recommended to make a secondary judgment based on the market characteristics of the number (such as the proportion of common Japanese female names) when using in batches.

**Q: How long does it take to detect 10,000 Line numbers? ** Answer: Under normal circumstances, it takes 10-30 minutes for 10,000 yuan, and 1-3 hours for 100,000 yuan. If the platform encounters heavy traffic queues, the time will be extended. When submitting a task, the console will display the estimated processing time, please refer to the actual time.

**Q: Can Line activation and WhatsApp activation be tested together? ** Answer: Most screening platforms require tasks to be submitted separately by platform. You can create multiple tasks for parallel detection, and KK-DATA supports viewing task reports from different platforms at the same time. It is not recommended to mix them in the same task because the detection methods and fields are quite different.

**Q: I am an individual user, how much is the minimum amount of money I need to recharge to start using it? ** Answer: The minimum recharge is about 50 USDT (TRC20), and fees are deducted on a per-item basis. For details on the unit price, please see the real-time price on the console. It is recommended to start testing traffic with 100 USDT first, and then add more if the data quality is good. No need to subscribe to a package, just recharge after use.

---

👉Log in to the console Create your first Line filter task Two-way contact customer service https://t.me/kkdata_robot Official website https://kkdata.cc/ | Documentation https://docs.kkdata.cc/