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5 Common Misunderstandings in Screening TG Male Numbers: Guide to Avoiding Pitfalls and Correct Operation Steps

tg male number Tutorial kkdata Misunderstanding A Guide to Avoiding Pitfalls

5 common misunderstandings in screening tg male numbers: pitfall avoidance guide and correct operation steps

Screening TG male numbers is a core requirement for many overseas marketing teams and community operations - accurate male users can improve private message conversion, community activity and advertising cost-effectiveness. However, in actual operation, many teams have fallen into a trap: after spending a large amount of balance, the numbers screened out are either “zombie numbers”, or the gender data is inaccurate, or even the same batch of numbers are deducted repeatedly. This article summarizes the 5 most common misunderstandings, combines the functional logic of the KK-DATA platform, and provides practical pitfall avoidance methods and standard operating steps to help you obtain tg male numbers effectively and efficiently.


Misunderstanding 1: Only detect TG activation and ignore the activity and age fields

Activation number ≠ Valid target user

Many novices only check “tg activation test” when screening accounts, thinking that as long as the number is registered with Telegram, they are potential users. But the actual situation is: a large number of Telegram accounts have been idle for a long time after being registered, and have not logged in for months or even a year. These numbers are meaningless for marketing, and the messages sent out either go nowhere or are directly judged as invalid push by the system.

Correct approach: In the task configuration of KK-DATA, be sure to check “tg active” detection and set a reasonable active window. The active window refers to “how long ago the user was last online”. For example, selecting “Online within 30 days” means that only numbers that have logged into Telegram within the last 30 days will be retained. The shorter the window (such as 7 days), the more active and accurate the numbers will be, but the number will decrease; the longer the window (such as 90 days), the number will be larger but some low-active users will be included. It is recommended to adjust according to the marketing rhythm: if you plan to do batch private message activities, choose a 7-15 day window; if it is a long-term community invitation, choose a 30-day window.

Correctly use gender data and age fields to refine filtering

It’s not enough to be “open + active” – you need male users. KK-DATA’s Telegram screening module provides “tg gender” detection, and the returned results include fields such as gender (male/female/unknown) and age. Note: The age field is inferred based on public information and AI models. It is not ID-level accurate data, but it can be used to assist in targeting people of a specific age group, such as filtering out male users “about 30 years old”.

Best Practice: Combine the three tests of “tg activation + tg active (30 days) + tg gender (male)”. When creating a new task in the console, check the corresponding checkbox, and the system will return the activity status, gender, and age range of each number in the results. Only the tg male numbers screened out in this way have real marketing value.

NOTE: The active window affects the quality of the results

The longer the active window (such as 90 days), the more likely the number obtained contains a small number of active or inactive users; the shorter the window (such as 7 days), the number is more accurate but the number may be reduced. It is recommended to flexibly adjust according to marketing scenarios. For example, a 7-day window is used for short-term impulse private message tasks, and a 30-day window is used for long-term community maintenance.


Misunderstanding 2: Superstition about the absolute accuracy of gender detection

After some teams get the gender field, they treat it as 100% accurate data and directly invest in high-cost private messages or advertising. In fact, the gender information of Telegram users is not officially mandatory. Many accounts do not disclose their gender, or users use false information. KK-DATA’s gender detection algorithm is based on account name, avatar metadata, public information and AI semantic analysis. The accuracy rate is generally between 70% and 90%, and fluctuates with the completeness of the account information.

Tips to avoid: Use the gender label as a “screening reference” rather than the “only criterion”. For numbers with uncertain gender (marked as “unknown”), you can make a secondary judgment based on other dimensions (such as avatar, nickname keywords, type of group joining, etc.). If a marketing campaign requires a very high proportion of men, it is recommended to cross-validate gender data from other platforms, such as screening the gender field of WhatsApp at the same time.


Misunderstanding 3: Single platform screening number, ignoring multi-platform collaboration

Many teams only focus on screening male numbers on Telegram, but ignore that there are also a large number of male target users on WhatsApp, Line, Zalo and other platforms. The user structure of different platforms in different regions varies greatly: in Southeast Asia, Zalo and Line have a considerable proportion of male users; in the Middle East and Latin America, WhatsApp’s coverage far exceeds Telegram.

Correct idea: According to the target market, multi-platform cross-screening. KK-DATA supports number detection on more than ten platforms including Telegram, WhatsApp, Line, Zalo, Viber, iMessage, and RCS. You can first use the “Global Number Generation” module to generate a list of mobile phone numbers in the target country, then submit the number screening tasks for Telegram and WhatsApp respectively, and finally merge the results to extract male numbers that are active on both platforms at the same time - such users are often high-value targets.

Operation Example: Suppose you want to develop the Vietnamese market

  1. Generate a batch of Vietnamese (+84) mobile phone numbers (the global number generation module of KK-DATA can be used, free of charge).
  2. Submit the “Telegram activation + active + gender” task and the “Zalo activation + active + gender” task respectively.
  3. After exporting the results, use the data deduplication function in Excel or the console to find male numbers that are active on both Telegram and Zalo.

The tg male numbers obtained in this way are of higher quality and can cover potential users beyond a single platform.


Misunderstanding 4: Not deduplicating numbers and wasting balance by repeatedly screening

This is a very common hidden waste. Many teams submit new tasks every day, but the number list may contain some numbers that have been detected before - the system will charge again. If the same batch of numbers is tested repeatedly, the balance will be consumed very quickly, and the duplicate data will have no incremental value for marketing.

KK-DATA provides the “Data Deduplication Warehouse” function: you can upload or import all historically detected numbers into the deduplication warehouse. Before submitting a new task each time, the system automatically filters out the detected numbers to ensure that each number is only billed once.

Tips for using duplicate warehouse

Before submitting a new task, first upload or select the number database to be excluded in the “Data Deduplication” module of the console, and the system will automatically match and filter. There is no additional charge for deduplication operations, which can significantly save costs. It is recommended to update the deduplication warehouse regularly on a weekly or monthly basis.


Misunderstanding 5: Not paying attention to active windows and task settings

The first misunderstanding mentioned the importance of active windows, but what should be added here is: Different active windows match different task types. For example:

  • If you plan to send a private message (DM), it is recommended to use a 7-day active window, because people who are online within 7 days are more likely to view the message in a timely manner.
  • If you just want to build a community list, you can use the 30-day window to reach more potential members.
  • If you need a “quick response” customer service group, you can even shorten the window to 3 days.

Many people do not differentiate and use the default value (maybe 90 days). As a result, the number they get is mixed with a large number of “monthly users”, and the private message open rate is very low. Correct approach: When creating a task in the KK-DATA console, clearly set the “tg active days” and confirm it in the estimated cost column. The unit price of active detection is different on different platforms. For details, please see the real-time price of the console.


Correct approach: Three steps to efficiently screen out TG male active numbers

A standard operating procedure is given below, which can be copied and used directly:

Step 1: Prepare number list (generate or import)

  • Method A (Generate): Enter the KK-DATA console → “Global Number Generation” module → Select the target country (such as the United States +1, Indonesia +62, etc.) → Set the generation quantity (up to one million) → Click Generate. The generated number is free and can be used directly to screen numbers.
  • Method B (Import): Organize your own number list into CSV or TXT (one number per line) → Upload in “Number Management”.

Step 2: Configure detection parameters (activation, active, gender)

  1. Click “New Screening Task” → select the “Telegram” platform.
  2. Check the detection type:
    • ☑ tg activated
    • ☑ tg active (enter number of days, e.g. 30)
    • ☑ tg Gender (also check “Male”)
  3. The system automatically displays the estimated cost (billed by item, please see the real-time price on the console for specific unit prices).
  4. Submit the task after confirming that it is correct.

Step 3: Submit tasks and export data

  • Task progress can be viewed in real time on the “Task Management” page.
  • After the task is completed, the system will notify you through the Telegram robot (requires binding in advance) or the console.
  • Enter the task details → click “Export” → select CSV or TXT format → download the results.
  • The exported fields include: mobile phone number, tgid, gender, age, active status, recent online time, etc. Screening or secondary processing can be done as needed.

FAQ

**Q: How accurate is the gender detection of tg male numbers? ** Answer: KK-DATA’s gender detection is based on public information and AI inference. The accuracy is generally between 70% and 90%, depending on the completeness of the account information. It is recommended to use the gender field as a filtering reference, not the only basis.

**Q: How to avoid repeated deductions for the same batch of numbers? ** Answer: Use the “Data Deduplication Warehouse” in the console - upload or select the number before submitting the task, and the system will automatically filter the numbers that have been detected to ensure that each new task is not billed repeatedly.

**Question: How long does it take to get results from screening for active TG male numbers? ** Answer: The time taken depends on the number of numbers and the type of detection. For example, the simultaneous detection of “activation + activity + gender” for 10,000 numbers is usually completed in a few minutes to half an hour. After the task is completed, a notification will be sent through Telegram.

**Q: Can I screen male numbers on tg and WhatsApp at the same time? ** Answer: Yes. KK-DATA supports submitting multiple platform tasks for the same number list, exporting the results after testing separately, and then merging and comparing them. Note: The unit price is different on different platforms, please refer to the real-time price of the console.

**Q: Can the age field be accurate to the specific age? ** Answer: No. The age field is an interval range inferred based on AI (such as 20-30 years old, 30-40 years old, etc.), which can be used to assist in locating people around 30 years old, but it is not an accurate number at the ID card level. Please use it rationally.


If you want to get started and try to screen out high-quality TG male numbers, you can directly log in to the console to start the first task, or contact customer service through two-way for operation guidance. There is no need to subscribe to a package during the entire process, and you are billed on a per-item basis. You pay for what you use.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Detailed documentation: https://docs.kkdata.cc/

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