Line male data acquisition tutorial: Use KK-DATA to accurately screen out active male users
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Line male data acquisition tutorial: Use KK-DATA to accurately screen out active male users
In the Southeast Asian market (Vietnam, Thailand, Indonesia, Philippines, etc.), Line is a core social platform covering hundreds of millions of users. For overseas teams and cross-border e-commerce sellers, obtaining Line male data—that is, active Line accounts that have been screened and verified with a “gender=male” tag—is a key link in achieving targeted promotion of male users. Whether it is game promotion, male consumer product marketing, or private community operations, accurate male data can significantly increase conversion rates and reduce ineffective harassment.
This tutorial will teach you step by step how to use the KK-DATA screening platform to screen out high-quality Line male data from scratch, and give you the best practices in actual customer acquisition.
What is Line male data? Why is it important for overseas marketing?
Line male data is not a simple bunch of mobile phone numbers, but a collection of numbers obtained after the following screening process:
- Activation detection: Confirm that the number has registered a Line account.
- Activity Detection: Determine whether the account has online behavior in the recent past (such as 7 days/30 days).
- Gender Identification: Infer the gender label (male/female) of the account based on the model.
By superimposing these three layers of screening, the final number obtained is the truly usable “Line male active user”. In major markets such as Vietnam and Thailand, men account for about 45% to 55% of Line users, but a large number of these accounts are zombie or inactive accounts. More than 60% of mobile phone numbers purchased directly or scraped may be unavailable. Using the screening tool to eliminate invalid numbers and then targeting the male group, marketing costs can be reduced by more than half.
For B2C overseas scenarios, for example:
- Promotion of male-oriented games (SLG, cards, gambling)
- Drainage of men’s skin care products, health products, and sports equipment
- Recruiting male users of local life services (takeaway, online ride-hailing, lending)
Accurate Line male data allows you to open up a high-value channel outside of Telegram and WhatsApp.
How to use KK-DATA to filter Line male data (step-by-step tutorial)
KK-DATA (https://kkdata.cc/) is a platform that supports the activation, activity and gender detection of Line screening numbers. Follow the complete process from registration to exporting data.
Step one: Register account and recharge balance
- Visit Application Console and register a KK-DATA account.
- After logging in, find the “Recharge” page in the left menu.
- Deposit using USDT (TRC20), the minimum is about 50 USDT. The balance is automatically updated after payment is received.
- Confirm that the balance is sufficient for one Line screening task (the fee is calculated on a per-item basis, for specific unit prices, see the real-time price on the console).
About gender recognition accuracy
Gender recognition is based on the comprehensive judgment of the model and cannot be 100% accurate. It is recommended to use it in conjunction with the activity field, for example, to prioritize accounts that are “active + male”. If you have higher requirements for accuracy, you can contact customer service for more details.
Step 2: Create a Line screening task and configure gender screening
- Enter the “Create Task” module and select the platform as Line.
- Select the detection type: check Activate detection (required), Active detection (7 days or 30 days recommended), Gender detection (core).
- Select Male in the “Gender Filter” option. If not selected, all numbers with gender tags will be output, and you can then filter by gender in the export results.
- Select “Number Source”: You can directly upload CSV/TXT (one number per line), or use the platform’s “Global Number Generation” function to generate a list of numbers for the target country (discussed in the following chapter).
- Confirm the estimated deduction amount. The system will automatically calculate the balance required for the current task.
- (Optional) Configure the task name and notification method (notify via Telegram robot after completion).
Step 3: Submit the task and wait for the test results
- Click “Submit Task”. The system will start processing.
- The task queue takes different times depending on the size of the data: thousands of items are usually completed within a few minutes, while millions of items may take several hours.
- You can leave the page and you will be notified when the task is completed (if Telegram notification is configured).
Make sure the balance is sufficient before submitting
The system will not deduct the fee immediately when submitting the task, but it cannot be submitted if the balance is insufficient. In addition, it is recommended to use the Data Deduplication Warehouse (the platform supports cross-task deduplication) to remove already detected numbers to avoid wasting balances through repeated detections.
Step 4: Export valid numbers with male tags
- After the task is completed, enter the “Task Details” page.
- In the “Filter Results”, you can see the status and fields of each number: whether it is activated, activity level, gender (male/female/unknown).
- If you do not specify gender filtering in the task, you can search by gender tag (male) on this page and then export.
- Click the “Export” button and select CSV or TXT format. The exported file will contain fields such as phone, uid, gender, active_level (the meaning of the fields will be explained in detail below).
- Once downloaded, you will get a list of available Line male data.
What is the difference between Line male screen size and ordinary Line screen size?
The following table visually compares the differences between the two filter options:
| Comparison dimension | Ordinary Line screen number (only open/active) | Line male screen number (including gender identification) |
|---|---|---|
| Detection content | Only verify Line activation and activity | Activation + activity + gender recognition |
| Cost | Lower (according to the unit price of test items) | Higher (increased gender identification fee) |
| Output fields | phone, active_level, activation status | phone, uid, gender, active_level, optional age, etc. |
| Applicable scenarios | Large-scale mass promotion without distinguishing gender | Targeted marketing for male users (games, consumer goods, etc.) |
| Data value | Average, you need to re-screen yourself | High, you can directly get the precise male group |
**When should I choose Line men’s size? **
- If your product audience is obviously masculine (such as male health products, male-oriented games), then the ROI increase brought by gender screening far exceeds the additional cost.
- If you already have a large number of numbers but don’t want to waste budget on female users, enabling gender filtering can significantly save subsequent contact resources.
**When can I use ordinary Line filter size? **
- You only need to ensure that the number is valid, regardless of gender (such as group purchase of local life services, both men and women are welcome).
- Very tight budget, or testing phase.
What kind of number list needs to be prepared before filtering Line male data?
The quality of the numbers directly determines the effectiveness of the screening results. KK-DATA supports multiple number sources, and the following two methods are recommended:
Use the global number generation function to obtain the target number segment
- Find the “Global Number Generation” module in the console.
- Select a country (such as Vietnam +84, Thailand +66, Indonesia +62, etc.).
- Set the range of number segments (for example, Vietnam’s number segments starting with 03, 05, 07, 08, and 09).
- Customizable generation quantity (free, no charge).
- Export the CSV after generation, and then import it into the Line filter task.
This method is suitable for use when you do not have your own number list. Note: The generated numbers are random and may contain a large number of unregistered activation numbers. After passing the screening number, the effective activation rate is usually between 30% and 60% (depending on the country). It is recommended to generate a large number (such as 100,000 entries) at one time, filter out the entries, and then use gender tags to filter out men.
Deduplicate before importing your own number list
If you already have numbers or crawler data purchased from other channels, please be sure to use KK-DATA’s data deduplication warehouse first: after uploading your file, the system will automatically compare the numbers in historical tasks and only retain the newly added numbers to avoid repeated detection. This saves the balance.
There is another tip: the number format must be the international format (+86XXXXXXXXX) without spaces or special characters. KK-DATA will automatically clean some format errors, but it is recommended to standardize them in advance.
Interpret Line male data export fields: uid, gender label and activity
After you export the filtering results, the CSV file will contain the following key fields (subject to the actual console export):
- phone: Mobile phone number (with international area code)
- uid: The unique identifier of the user within the Line platform (similar to ID). You can use uid to add friends or push messages in Line official API or third-party group messaging tools. Note: Line is strict about private messages, and you must abide by the platform rules when using uid for group messaging.
- gender: Gender tag, possible values are
male,female,unknownor not displayed (if not detected). This field is the core data you are after. - active_level: activity level (for example,
active_7dmeans active within 7 days,active_30dmeans 30 days,inactivemeans not online for a long time). It is recommended to give priority to male users withactive_7doractive_30d, which have the highest value. - age_range (optional for some tasks): Age range, such as
20-29,30-39, can be used for further filtering (for example, for people around 30 years old). Note that the age is calculated based on the model, and the accuracy is not at the ID card level.
In actual use, you can filter high-value data according to the following combinations:
gender = "male" AND active_level = "active_7d"
If you have extra budget, you can also add an age range limit.
Best practices when using Line male data to acquire customers
Owning data is only the first step. Only by using it rationally can you avoid resource waste and account bans. Here are a few key pieces of advice:
- Send in batches, control frequency: Do not send the same content to thousands of Line male accounts at once. It is recommended that each account send no more than 50 private messages per day, and the content should be differentiated (using different words and links).
- Cooperate with multi-channel reach: When it is difficult to convert on Line, you can conduct a second contact through Telegram or WhatsApp (platform synchronized with KK-DATA) corresponding to the same number to improve the overall conversion rate.
- Pay attention to account security: The Line account used for sending messages in batches should be a “small account” or a purchased regular account, and have two-factor authentication set up. Being reported and banned for multiple accounts at once is very risky. Tools that use ip rotation and simulate real people.
- Clean low active numbers: Exclude
inactivehigh-level numbers from the filter results, because these numbers will almost never be opened even if they are sent. - Test small batches and then increase the volume: First use hundreds of male data to test the copywriting and conversion rate, optimize the words based on feedback, and then expand the sending volume.
KK-DATA only provides data filtering services and does not provide mass sending tools. But you can export uid and combine it with Line’s official BOT or third-party mass messaging system to perform reach.
FAQ
Q: How accurate is the gender labeling of Line’s male data?
Answer: KK-DATA uses a variety of signals to comprehensively determine gender. The accuracy is high but not absolute. It is recommended to use the gender field in conjunction with the activity and age fields to improve targeting accuracy. For specific accuracy rates, please refer to the platform documentation or contact customer service.
Q: When filtering Line male data, can you specify the country and age group at the same time?
Answer: The current Line screening number supports activation/validation and gender detection, and some detection types include age fields (such as people around 30 years old). You can limit country codes when importing numbers, or further filter the results after they are exported.
Q: Can the selected male Line users be directly used to send group private messages?
Answer: The screen number only provides fields such as verified valid numbers and uid. When conducting private message marketing, please abide by the Line platform rules, control the frequency and quantity of sending, and use appropriate tools (such as third-party mass messaging systems) to reduce the risk of account suspension.
Q: How much does it cost to filter a Line of male data?
Answer: Fees are billed based on the combination of detection types (activated, active, gender). The unit prices of different detection items are different. The specific price is based on the real-time price of the console. The estimated deduction will be displayed before submitting the task.
Q: Can I filter only male Line users in a certain city or specific region?
Answer: The platform currently filters numbers by country/region number and does not support refinement to cities. It is recommended to prepare a list of numbers in the target area (such as a CSV of the number range in Ho Chi Minh City, Vietnam) and upload it for screening.
Start getting your Line male data now: 👉Log in to the console to start screening numbers Two-way contact customer service:https://t.me/kkdata_robot See the documentation for more details: https://docs.kkdata.cc/ Official website:https://kkdata.cc/
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