Line male data acquisition guide: Batch screening of Line valid male user numbers and UIDs

In overseas marketing in Southeast Asia and Taiwan, Line is the leading social platform after WhatsApp, especially in markets such as Thailand, Taiwan, Japan, and Indonesia, with hundreds of millions of users. For teams that promote men’s consumer products (such as 3C accessories, games, tool apps, and men’s health products), Line male data refers to the collection of Line user numbers and UIDs obtained through the screening tool and whose gender field displays “male”. Accurately obtaining this batch of data can greatly improve targeting efficiency, avoid pushing irrelevant ads to female users, and reduce customer acquisition costs.

This article will systematically explain what Line male data is, how to batch filter through KK-DATA, operating steps, FAQs and pitfall avoidance guides to help you implement it directly in actual business.

What is Line male data? Why is it important for foreign trade customer acquisition?

Line male data is not an independent product, but an output dimension in the Line screening process. When you perform Line detection on a batch of mobile phone numbers, KK-DATA will return information such as activation status, activity, and gender (male/female/unknown) of each number. Among them, the set of numbers whose gender field is marked as “male” is Line male data.

What fields does Line male data contain?

According to the actual export results of the KK-DATA console, the main fields supported by Line filter numbers include:

Field	Description
Number	Original mobile phone number
Line activation	Whether Line is registered (activated/not activated)
Line active	Whether there has been any active behavior recently (active/inactive)
Gender	Male, Female, Unknown
UID	User’s Line unique identifier
Others	Some cases include avatars, nicknames, etc. (subject to console export)

For the actual fields, please refer to the options when creating the task in KK-DATA Console. The results of different detection packages are slightly different.

Which industries need Line male data the most?

• Cross-border e-commerce: Men’s clothing, 3C accessories, sports and outdoor, automotive supplies and other vertical categories, direct push to male users has a higher conversion rate.
• Online games: For games with a high proportion of male players such as strategy games, shooting games, MMORPGs, etc., male users can be invited to try them out.
• Tool Apps: VPN, file management, cleaning tools, etc. Men tend to have a higher download and installation ratio.
• Men’s Health/Fitness Community: fitness diet, muscle-building supplements, and male consulting services.
• B2B Customer Acquisition: In certain industries where there is a high proportion of male decision-makers (such as construction, logistics), Line male data can be used in combination with UID for initial reach.

How to use KK-DATA to obtain Line male data in batches? Attached are the operating steps

KK-DATA supports a complete pipeline of “Global Number Generation → Line Screening → Screening and Export”, and can process up to about 1 million numbers in a single task. Here’s how to do it step by step.

Step 1: Prepare numbers to be screened - global number generation or custom import

You have two ways to get the number to be screened:

1. Global Number Generation (Free) In KK-DATA Console, select the “Number Generation” module to randomly generate numbers for 240+ countries/regions, or generate them by number segment (for example, starting with 09XX in Taiwan). The generation does not consume the balance.

2. Custom Import Upload your own CSV/TXT file with one number per line. Note that the number format must be in international format (such as +886912345678), and no country code is required (the system will automatically complete it).

Step 2: Create a Line screening task—select “Gender Detection”

1. Click “New Task” in the console.
2. Select platform: Line.
3. Check the detection type. To obtain male data, “Gender” must be checked, and it is recommended to check “Open” and “Active” to improve data validity.
   • Line activation: Filter out invalid numbers that have not registered Line.
   • Line Active: Make sure the user has recently used Line.
   • Gender: Returns Male/Female/Unknown.
4. The system will display the estimated cost (the cost is superimposed according to the detection items, and the unit price is different in different countries/regions. For details, see [Console Real-time Price] (https://app.kkdata.cc/)).
5. Submit the task after confirmation.

After the task is submitted, you can check the progress in the background, and you will receive Telegram notification (binding required) after completion.

Step 3: Filter the export—retain only male users

After the task is completed, enter the results page:

• Using the filter, select “Gender = Male”.
• Export to CSV or TXT format, fields include number, UID, Line activation, activity, etc.
• If you have multiple tasks, you can enable Data Deduplication Warehouse to avoid wasting balances by repeated detection across tasks.

The entire process, from number generation to exporting male data, only takes a few minutes once you are proficient.

What is the difference between Line male data and “Line gender filtering”? Analysis of common terms

Many users will confuse these two concepts. Here is a clear comparison:

Terminology	Meaning
Line Gender Filter	is a detection action, that is, the “gender” detection item you checked when creating a task.
Line male data	is the test result, that is, the list of users whose gender = male obtained after screening.

Relationship: Only by performing the “Gender Screening” action can you get “Male Data”. In addition, the three detection items of Line activation, activity, and gender are independent. You can only detect activation + gender, or you can use the three in one. The more combinations, the higher the unit price, but the better the data quality.

Common misunderstanding: Some people think that “male data” is a ready-made list that can be purchased directly. In fact, it requires you to provide a number pool for testing before it can be obtained. KK-DATA only provides screening capabilities and does not provide the original list.

How to ensure data quality and compliance when obtaining Line male data?

Data quality indicators

• Activity Priority: Accounts that are only “activated” but have been inactive for a long time have very low marketing value. It is recommended to detect the “active” field at the same time and only retain active male users.
• Gender Accuracy: Line gender recognition is based on public information and number segment ownership, and cannot reach 100%. Some numbers will return “Unknown” (about 10%-30%). Gender can be used as an auxiliary indicator in conjunction with activity.
• Avoid duplicate detection: Use KK-DATA’s own data deduplication warehouse to automatically remove duplicates across tasks, and the same number will not be deducted repeatedly.

Compliance Reminder

How to use Line male data for community operations and targeted promotion?

After getting the Line male data, how to implement it? Here are three common scenarios:

1. Import Line group (invite via UID or number)

Line groups can invite members by UID or mobile phone number. However, Line has a daily invitation limit (about 30-50 times/account), so it is recommended to use multiple alt accounts for rotation. Be sure to retain the UID field when exporting, as UID invitations have a higher success rate.

2. Seed user set for private message marketing

Use male data as a private message seed list, and use automated tools (within the scope allowed by the Line protocol) to send product introductions or coupons. Pay attention to personalizing the content and avoiding templates.

3. Combined with cross-analysis of data from other platforms

If you have male data from both Facebook and WhatsApp, you can cross Line male data with user portraits from other platforms to find overlapping or active periods and develop a multi-channel touch point strategy.

Data is only the first step, truly effective conversion depends on your copywriting, benefits and follow-up rhythm. It is recommended to A/B test different opening lines.

Frequently Asked Questions and Pitfall Guidelines for Line Male Data Screening

The following are practical problems commonly encountered by users:

• **Why is there so little data on males screened out? ** Possible reasons include: ① The numbers to be screened are mostly female users or inactive users; ② The gender ratio of the population corresponding to the phone number segment is biased (for example, some number segments are mostly registered by women); ③ The proportion of “unknown” returned by gender testing is high (about 20%). It is recommended to try again with another source number, or first check “Line Activation” to filter out invalid numbers.

• **How ​​accurate is gender recognition? ** Line gender recognition is based on number ownership information and public data. The accuracy is about 70%-85%, but cannot reach 100%. It is recommended to use gender as an auxiliary targeting dimension and combine it with activity, region and other fields for comprehensive screening.

• **How ​​much does it cost to detect the gender of a Line number? ** The cost is superimposed according to the detection items (activation, activity, gender), and the unit price is different in different countries. The console will display the estimated fee before submitting the task, and the actual fee will be deducted after the task is completed. For specific prices, please check [Console Real-time Price] (https://app.kkdata.cc/) or [Billing Page] (https://kkdata.cc/billing/).

• **How ​​many Line numbers can be detected at most in one task? ** The maximum number of single tasks is about 1 million. If the number is larger, it can be divided into multiple task submissions. It is recommended to submit a small number of numbers (such as 500) for testing first and confirm that the returned fields meet expectations before executing them in batches.

• **When exporting Line male data, will the UID be included? ** Yes, KK-DATA’s Line filter results support exporting the UID field, which can be used for further community invitations or user portrait association. For specific export fields, please refer to the console task details.

FAQ

**Q: How accurate is the gender identification in Line’s male data? ** Answer: KK-DATA’s Line gender detection is based on number attribution information and public data. The accuracy is about 70%-85% and cannot be 100% accurate. It is recommended to use gender as an auxiliary targeting dimension and combine it with activity, region and other fields for comprehensive screening. The specific effect is subject to the actual test results.

**Q: How much does it cost to detect the gender of a Line number? ** Answer: The fees are superimposed according to the detection items (activation, activity, gender, etc.), and the unit prices are different on different platforms. The console will display the estimated fee before submitting the task, and the actual fee will be deducted after the task is completed. For specific prices, please check the console’s real-time price or Billing Page.

**Q: How many Line numbers can be detected at most in one task? ** Answer: KK-DATA supports up to about 1 million numbers in a single number screening task. If the number is larger, it can be divided into multiple task submissions. It is recommended to submit a small number of numbers for testing first and confirm that the returned fields meet expectations before executing them in batches.

**Q: Why are there so few male data from my screen? ** Answer: Possible reasons: 1) Most of the numbers to be screened are female users or inactive users; 2) The gender detection field returns a high proportion of “unknown”; 3) Number sources are unbalanced. It is recommended to change the source of the number, or first check “Line Activation” to filter out invalid numbers, and then submit the gender test to improve efficiency.

**Q: When exporting Line male data, will the UID be included? ** Answer: Yes, KK-DATA’s Line filter results support exporting the UID field, which can be used for further community invitations or user portrait association. For specific export fields, please refer to the console task details.

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👉 Log in to the console to start filtering Experience Line male data filtering immediately; contact customer service in both directions https://t.me/kkdata_robot for technical support. To learn more about the functions, please visit the official website https://kkdata.cc/ or consult the Usage Documentation.