An in-depth comparison of Line male data and TG male numbers: Which platform should I choose to acquire customers overseas?
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In-depth comparison of Line male data and TG male numbers: Which platform should I choose to acquire customers overseas?
In overseas marketing, gender targeting is a key part of refined operations. Facing different markets, Line Male Data and TG Male Number respectively point to two high-value user pools: one is deeply involved in the social e-commerce ecology of Southeast Asia, and the other covers the global encryption and geek communities. Many teams are confused: Which platform should prioritize male users? What are the substantial differences between the two in terms of data dimensions, acquisition costs, and market applicability? This article compares them one by one from a practical perspective and provides practical screening methods.
What is Line male data? What is a TG male number?
Line male data refers to a collection of numbers whose gender field is “male” after a batch of mobile phone numbers have been subjected to Line activation detection, activity detection and gender identification through a number screening platform (such as KK-DATA). In addition to gender, you can usually also get the number’s activation status on Line, uid (Line user ID) and other information.
TG male number is a number that is confirmed as “registered” and “male” through the number screening platform on Telegram. Usually, the age field, activity window (such as “active in the past 7 days”) and tgid can also be added. Both are not original user registration data, but the results inferred by third-party platforms based on public information or behavioral patterns. Although the accuracy is high, it is not 100%.
The core difference between Line male data and TG male numbers (3 dimensions)
Comparison of available fields and data dimensions
| Dimensions | Line male data | TG male number |
|---|---|---|
| Main detection types | Activated, valid, gender | Activated (registered), active (can specify window), gender |
| Gender field | ✅ Yes | ✅ Yes |
| Age field | ❌ Usually not provided | ✅ Exportable (trend data about 30 years old, etc.) |
| Additional ID | uid, activation status | tgid, active level |
| Export format | CSV/TXT | CSV/TXT |
Core Difference: The age field for TG male numbers is an important advantage. For example, in KK-DATA’s tg gender detection task, the exported results include the “age” field, which you can use to filter the target group of “about 30 years old” for more refined targeted marketing. Line currently provides less age information, and gender and activation status are its main outputs.
User portrait and market bias
- Line: The core markets are Taiwan, Thailand, Japan, Indonesia, and Malaysia. Users tend to chat socially, shop, and use Line Pay. Male users are mostly concentrated in e-commerce promotions, games, and local service scenarios. Suitable for localized community operations and private domain e-commerce.
- Telegram: Users are more interested in cryptocurrency, blockchain, technology geeks, European, American and Russian-speaking areas. The proportion of men is usually higher than Line, and the community activity and message reach rate are higher. TG’s activity window is adjustable (such as “active within 24 hours” and “active within 7 days”), which is suitable for real-time marketing or community growth.
Simple judgment: If your target market is Taiwan, Thailand, and Indonesia, Line male data is more direct; if it is Europe, America, Russian-speaking areas or encryption projects, TG male number is more efficient.
Obtain difficulty and cost difference
| Dimensions | Line male data | TG male number |
|---|---|---|
| Number of screening platforms | Fewer (professional interfaces are scarce) | More (mature interfaces) |
| Common unit price | Higher than TG (see console real-time price for details) | Relatively low |
| Platform switching cost | Need to connect separately or use a unified platform (such as KK-DATA) | Supported by most screening tools |
Reminder: The specific unit price varies depending on the platform, detection type, and batch size. Do not rely on fixed numbers. It is recommended to check the real-time price on KK-DATA console, or refer to the official website billing page.
How to choose Line male data or TG male number in overseas marketing scenarios?
- Southeast Asia e-commerce/localized operations (Taiwan, Thailand, Indonesia): Priority is given to using Line male data. Line has a very high penetration rate in these areas, and male users are highly receptive to games, 3C digital, and financial products.
- European and American/Encryption/Blockchain Projects: Priority is given to using TG male numbers. Telegram is the home of the crypto community, with more than 70% of male users. The active detection window can help you find users who are truly online.
- Cross-market parallel customer acquisition: If you need to cover Taiwan (Line) and Vietnam (TG+Zalo) at the same time, it is recommended to screen both platforms at the same time. Using KK-DATA, you can submit tasks separately in one console, manage export files of different platforms in a unified manner, and avoid the trouble of switching between multiple systems.
How to obtain Line male data efficiently?
In KK-DATA (or other platforms that support Line screen numbers), the typical process for obtaining Line male data is as follows:
- Prepare number pool: You can prepare a list of target country/region numbers by yourself, or use the platform’s global number generation function to generate random numbers by country and number segment (free).
- Submit Screening Task: Select the “Line Screening” detection type on the console, and check “Activate Testing”, “Active Testing” and “Gender Testing”. A task supports up to about 1 million numbers at a time.
- Wait for completion and export: After the task is completed, the system will automatically deduct fees (billing per item). When exporting the results, check the “Gender=Male” field to obtain the Line Male Data CSV file, including uid, activation status and other information.
Data field description
In the actual export, the fields of Line female data are based on the actual column names of the console. Usually includes: number, Line activation status (activated/not activated), Line valid status, gender (Male/Female), uid (Line user ID), etc. For details, please see Usage Document.
How to obtain TG male number efficiently?
Obtaining a TG male number is more flexible because the TG screening number is more mature:
- Import numbers or generate numbers: You can also upload a CSV of your own numbers, or use “Global Number Generation” to get candidate numbers.
- Configure detection type:
- Check tg activation (registration test)
- Check tg active and set the active window (such as “past 7 days”)
- Check tg gender detection (optional to get the age field at the same time)
- Submit task: The system estimates the cost and confirms execution.
- Export results: Filter “Gender = Male” when exporting, and can further filter based on the age field (for example, age between 25–35). The exported file contains number, tgid, activity level, gender, age, etc.
Note: The age field is a model prediction value, which can be used for trend analysis and should not be used for precise individual identification.
Use KK-DATA to uniformly screen Line and Telegram male users (comparison table attached)
KK-DATA supports the gender detection function of both Line and Telegram. You can submit tasks for different platforms under the same account and manage the results in a unified manner without switching between multiple tools. The following is the core comparison of the two platforms on KK-DATA:
| Function | Line filter | Telegram filter |
|---|---|---|
| Gender Test | ✅ | ✅ |
| Age field | ❌ | ✅ (can screen people around 30 years old) |
| Activity detection | Support (valid status) | Support (can specify window) |
| extra id | uid | tgid |
| Maximum limit for a single task | About 1 million items | About 1 million items |
| Data deduplication | ✅ Automatic deduplication across tasks | ✅ Automatic deduplication across tasks |
| Billing method | Billing by item (see console price for details) | Billing by piece (see console price for details) |
Data accuracy statement
Gender detection results are based on public information or behavior patterns inferred from the platform, and are not 100% accurate, nor are they equivalent to the gender registered on the ID card. The age field is also a model prediction value and can be used for crowd trend analysis (such as screening people around 30 years old), but should not be used for precise individual identification.
Additional advantages: KK-DATA has a built-in data deduplication warehouse. When you share the same number pool in Line and TG tasks, the system will automatically compare historical detection records to avoid repeated deductions. Estimated fees are shown before submission, providing financial transparency.
Frequently Asked Questions (FAQ)
**Q: Is Line’s male data accurate? ** Answer: Line gender detection is comprehensively determined through user information, nicknames, interactive behaviors and other dimensions. The accuracy is high, but it cannot reach 100%. It is recommended to use it in conjunction with activity and activation status.
**Q: Can the age be derived from the TG male number at the same time? ** Answer: Yes. In the tg gender detection task of KK-DATA, the exported results contain gender and age fields, and the age field can be used to filter target groups such as those around 30 years old.
**Q: Can Line male data and TG male numbers be exported at one time? ** Answer: Yes. KK-DATA supports multi-platform parallel tasks. You can submit Line screening and Telegram screening tasks separately under the same account, and export CSV/TXT files of different platforms. The data deduplication warehouse also prevents the same number from being detected repeatedly in cross-platform tasks.
**Q: Which data is more suitable for the Southeast Asian market? ** Answer: Line has high coverage in Taiwan, Thailand, Indonesia, and Japan. Line’s male data is suitable for localized social marketing and e-commerce private domains; TG also has certain users in Vietnam and Malaysia. If you focus on Southeast Asia, it is recommended to give priority to Line male data, and at the same time, it can be used with TG to cover some technical communities.
**Q: How to avoid wasting balance due to repeated number detection after number screening? ** Answer: Using KK-DATA’s “Data Deduplication Warehouse” function, the system automatically compares numbers that have been detected in historical tasks to avoid repeated deductions. Before each new task is submitted, the platform will display the estimated cost.
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