Line male data export and field details: a complete guide to accurately target male users

In markets such as Southeast Asia and Vietnam, Line is a social platform with extremely high user stickiness. Many overseas operations and cross-border e-commerce teams need to accurately reach specific groups of people, and Line male data is the key to achieving this goal-obtaining the information of Line users whose gender test results are “male” through the screening platform, you can focus marketing resources on the target audience.

This article will introduce in detail the export process, core fields and best practices of Line male data to help you efficiently utilize this data in real scenarios.

What is Line male data? Why is it important in overseas marketing?

Line male data refers to using the Line gender detection function to filter out the list of users who have registered for Line and whose gender is marked as “male” from batches of mobile phone numbers. In countries with high Line penetration rates such as Vietnam, Thailand, and Indonesia, male users have obvious customer acquisition value in the following scenarios:

• Cross-border e-commerce: The promotion of male consumer goods (men’s clothing, sports equipment, 3C digital products) usually requires direct contact with male users.
• Social APP/Game Distribution: When recruiting new applications for applications with a high proportion of male users (such as competitive games and tool apps), gender filtering can increase the installation and retention rates.
• Localized community operation: Invite male users to interest communities (such as sports, cars, technology) to join the group, and the response rate is much higher than that of general group messaging.

In addition, private messages on the Line platform have a high open rate, but if they are sent in bulk without screening, they can easily be labeled as harassment. Using Line male data combined with the activity field can strike a balance between the opening rate and the complaint rate.

How to export Line male data? Overview of steps and fields

Taking the KK-DATA platform as an example, exporting Line male data only requires four steps:

1. Prepare numbers to be detected: Collect mobile phone numbers in target countries/regions, which can be obtained through the self-owned list or the platform’s built-in “global number generation” module (supports random generation or import of custom number segments for 240+ countries, and generation is free).
2. New Screen Number Task: Select the “Line Screen Number” detection type in the console, and check Gender (you can also check “Activity” to achieve more refined filtering).
3. Submit the task and wait for completion: The estimated cost will be displayed before the task is submitted (billing by item, see the real-time price on the console for details). Receive notifications via Telegram when completed.
4. Export results: Select “Export” on the task details page, supporting CSV or TXT format. After exporting, you can get the complete data package including male users.

Detailed explanation of core export fields (including uid)

Field name	Description
Mobile phone number	Original number, used for matching and deduplication
Line activation status	Mark whether the number has been registered for Line (if not activated, gender cannot be detected)
Line Gender	Male / Female / Unknown (Unknown usually means that the user’s privacy settings are not disclosed)
uid	The unique user ID within the Line platform, used for subsequent targeted addition of friends or message access
Activity (optional)	If activity detection is also selected, it will include recent online time or behavior frequency tags

Export format and subsequent operation suggestions

• CSV / TXT: CSV is convenient for filtering and deduplication in Excel; TXT is suitable for direct import into mass sending tools.
• Duplicate Removal Suggestions: The same number may be detected repeatedly in multiple tasks, wasting balance. It is recommended to use the platform’s built-in data deduplication warehouse function to automatically identify and filter detected numbers.
• Compatible with other channels: The exported uid can be used in Line’s official API (policies must be followed), and the mobile phone number can also be synchronized into Telegram or WhatsApp screening tasks to achieve cross-platform cross-validation.

Best practices for using Line male data

After obtaining the list of male users, you need to pay attention to the following strategies when implementing precise reaching:

1. Test in small batches first, then scale up Don’t just import tens of thousands of numbers. It is recommended to screen 100–500 items first and observe the gender detection accuracy, activity and user response rate. If the detection accuracy is high (for example, men account for far more than 50%), then gradually expand.

2. Combined with activity field to improve response Relying on the “male” label alone can sometimes reach chronically inactive users. If you also check “Activity” in the filtering task and filter out users who are “active in the past 7 days” and are male, the private message open rate can be increased by 2-3 times.

3. Respect the platform rules and avoid being complained

   • Don’t send too many private messages in a single time. It is recommended to send them in batches at different times.
   • The content must have real value (offers, activities, information) and not be pure advertising.
   • If the user explicitly refuses, stop contacting immediately.

4. Export uid and perform secondary verification Line’s uid is a long-life cycle identifier that can be used to add friends or join groups later. However, before large-scale use, it is best to use a small number of uids to verify whether they can be added normally to avoid list failure due to platform limitations.

Key things to note when exporting Line male data

Data Compliance and User Privacy

• Legal Use: Line user data can only be used for legitimate marketing promotions and community operations, and may not be used for fraud, harassment or any illegal activities.
• Comply with local regulations: Vietnam, Thailand and other countries have strict regulations on the protection of personal information (such as Vietnam’s “Personal Data Protection Law”). It is recommended to consult legal counsel before collection and use.
• Avoid public disclosure: Exported CSV files should be encrypted and stored, and should not be shared in public groups.

Avoid repeated detection and waste of balances

After each number screening task is completed, the platform will deduct the corresponding fee. If the same number is submitted multiple times, the balance will be depleted quickly.

• Recommended Practice: Use KK-DATA’s Data Deduplication Warehouse, which will automatically compare the numbers in historical tasks without repeated detection or deduction.
• Manual Deduplication: Delete duplicate rows in Excel before submitting the task.

Platform unit price: Line has different unit prices for different detection types such as gender detection and activity detection. Please check the real-time price of the console before submitting the task, or visit the official website billing page for details.

Application of Line male data in different customer acquisition scenarios

Scene	Matching suggestions	Expected effects
Cross-border e-commerce (men’s clothing/3C)	Export male data + activity filtering + push promotional coupons via private message	Conversion rate 2–5 times higher than mass messaging
Social APP attracts new users	Male uid + Line robot invites friends	Next-day retention of male users increases by 20%
Game distribution (SLG/competitive)	Export male + active + uid and import game registration link	First deposit conversion rate increased by 1.5 times
Local service promotion (Vietnam pedicure/fitness)	Export location number + male data + private messages in batches	Store arrival rate can be controlled to avoid number being blocked

In these scenarios, Line male data is just the starting point, and the real effect depends on subsequent reach strategies and content quality. It is recommended to refresh the data every month because user status (gender, activity) may change.

FAQ

**Q: What fields are included in the Line male data export? ** Answer: It usually includes mobile phone number, Line activation status, Line gender (male/female/unknown), and uid. If “Activity” is checked in the task, the activity status will also be included. The specific fields are subject to the console export file.

**Q: How much does it cost to export Line male data? ** Answer: Billing is based on the number of tests, and there is no subscription package. The unit prices of Line gender detection and activity detection are different. Please check the real-time price of the console before submitting the task, or visit the official website billing page for details.

**Q: What is the use of the exported uid? ** Answer: uid is the unique identifier of a Line user and can be used to add friends, join groups, or send messages through the Line Messaging API. However, please abide by the Line platform policies to avoid excessive harassment leading to account suspension.

**Q: Can I export only male and active users? ** Answer: Yes. Select both “Gender” and “Activity” detection types in the screening task. Both conditions will be met in the screening results, and the target list can be exported.

**Q: Does batch export support? What is the maximum quantity? ** Answer: Batch export is supported, and a single task can process up to about 1 million numbers. The export format supports CSV and TXT, with customizable delimiters.

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Want to start exporting Line male data now?
👉Log in to the console to start screening numbers If you have any questions, you can contact customer service in both directions: https://t.me/kkdata_robot For detailed operation manual, please view the document: https://docs.kkdata.cc/