tg Male Number Detection Tutorial: How to use KK-DATA to batch screen Telegram male users

In overseas marketing, community operations and product promotion, tg male number detection is a basic but critical means of accurate customer acquisition. When your target audience is male users on Telegram, sending a group message directly to all numbers is not only inefficient, but can also easily trigger complaints or account bans. Through gender detection, you can filter out male active users from a large number of numbers, greatly increasing the reach conversion rate. This article will provide a complete set of operation tutorials to teach you to complete global number generation, tg male number detection and export from scratch on the KK-DATA platform. The steps are clear and you can learn and use them immediately.

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What is tg male number detection? Why is it worth doing?

tg male number detection refers to identifying the gender (male) of the Telegram account user corresponding to a certain mobile phone number through the data interface or public features of the Telegram platform. Combined with fields such as activity and tgid, you can accurately target target groups. This technology is of significant value in the following scenarios:

• Accurate customer acquisition: For e-commerce, games, finance, and tool products targeting male users, promotional messages are sent after screening, and the conversion rate is several times higher than blind messaging.
• Community Operation: Launch theme content or paid communities for male members to avoid harassing non-target users.
• Reduce complaint rate: Only send messages to numbers that meet gender + active conditions, reduce invalid harassment, and protect the health of sending accounts.
• Data Cleaning: Combined with the activity field, filter out dormant accounts that have been inactive for a long time, saving subsequent contact costs.

In short, tg male number detection allows you to upgrade from “casting a wide net” to “precise fishing”, and every deduction is spent wisely.

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The complete process of using KK-DATA to detect tg male numbers (5 major steps)

The following is a step-by-step explanation of how to use KK-DATA’s screening system to complete tg male number detection, from preparation to exporting results. The whole process is done in the console (https://app.kkdata.cc/）中操作，无需开发。

Step 1 — Prepare number data to be detected

You have two ways to get the list of numbers to be tested:

• Method A: Use global number generation module (free) Navigate to the left side of the console and enter “Global Number Generation”, select the target country/region (a total of 240+ options are available), you can generate it randomly, generate it by number segment, or upload a custom number segment CSV. The generated numbers are automatically saved in the “number list” and can be used for number screening tasks at any time. The generation function itself is free, and fees will be deducted only when the screening task is submitted.

• Method B: Import your own number If you have collected a list of numbers from other sources (e.g. purchased data packages, old customer data), you can directly upload a CSV or TXT file with one number per line (international format, such as +8613800138000). The system will automatically verify the format and remove duplicates.

Step 2 — Select Telegram screening task and check gender detection

1. Click “Create Task” on the console and select the data source (the number list generated in step 1 or the uploaded file).
2. Select Telegram in “Detection Platform”.
3. Check tg activated/active/gender in “Detection type”. The system automatically includes the following subkeys:
   • Activation detection: Check whether the number has been registered with Telegram.
   • Activity Detection: You can specify the active window (such as the last 7 days, 30 days, 90 days) to detect the last time the user was online.
   • Gender Detection: Returns the user’s gender (male/female/unknown), along with age tags (such as “about 25 years old”, “about 30 years old”, etc.), which can assist in interpreting the age distribution of the target population.
4. Confirm the task name, check the estimated cost on the right, and then submit.

Things to note:

• The age field of gender detection comes from a multi-dimensional model and is not ID card-level accuracy. It cannot be used as a precise age, but it can be used to determine the approximate age group of the user (for example, screening people around 30 years old).
• Flexible use of the “active window” can further improve the reach effect: if only sent to male users who have been active within 7 days, the message open rate will be higher.

Step 3 — Submit the task and wait for notification

After the task is submitted, the system will automatically join the queue. You can view the progress (queued, running, completed) in real time in the “Task List” of the console. After the task is completed, there are two ways to receive notifications:

• Telegram Notification: Bind @kkdata_robot on the console, and the message will be automatically pushed after completion.
• View directly on the console: Refresh the task list, click to enter the details page after the status changes to “Complete”.

The task processing speed depends on the number of submitted numbers and the current load. Generally, the detection of 10,000 numbers can be completed within a few minutes.

Step 4 — View filter results and export tg male number

On the task details page, you can see the detection results of each number. Key fields include:

• Number status: 开通 / 未开通
• Activity level: 最近上线时间 (accurate to the day), 在线时长, etc.
• Gender: 男 / 女 / 未知
• Age: Some results will display age group labels (such as ≈30岁)
• tgid: Telegram user’s unique ID (can be exported for subsequent marketing tools)

To use the filter, click on the “Gender” column and select “Male” to display only male numbers. Then click the “Export” button, select the format (CSV or TXT), and the system will generate a file containing all selected numbers and fields.

The fields included in the export results can be customized in the console settings to ensure that key information such as 号码, 性别, 活跃度, tgid, etc. are included.

Step 5 — Use deduplication warehouse to avoid duplicate detection

For batches that require continuous testing (such as weekly incremental testing), KK-DATA has a built-in data deduplication warehouse. When submitting a new task, the system will automatically compare numbers that have been detected in history, skip duplicates, and only detect new numbers. This mechanism effectively avoids wastage of balances.

• The deduplication warehouse is based on tasks, and the same number will only be deducted once in different tasks.
• When creating a task, you can choose “Only detect undetected numbers” or “Detect all”. It is recommended to check the former every day.

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When detecting tg male numbers, what fields do you need to pay attention to?

In the console results page or exported CSV, the fields directly related to tg male detection are as follows:

Field name	Meaning	Filter suggestions
Number	Original mobile phone number (international format)	No need to filter, but you should confirm that the format is correct
Activation status	true / false	Must be true to continue subsequent screening
Activity	Last online time (such as 2025-02-15) or classification (last 7 days/30 days/90 days/inactive)	It is recommended to select active users in the last 30 days
Gender	男 / 女 / 未知	If the target is male, select 男
Age (tag)	≈20岁, ≈30岁, ≈40岁, etc.	Auxiliary judgment, non-exact value
tgid	Telegram user’s unique digital ID	Can be exported for API docking or secondary marketing

Using these fields together, you can build an accurate portrait of your target audience. For example: “Active in the past 7 days, gender is male, age tag ≈ 30 years old”. This combination of reach and conversion rate is usually the most ideal.

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Precautions and best practices for tg male number detection

Accuracy Description: Typical Scenarios and Limitations of Gender Detection

KK-DATA’s gender detection is based on the data model and public features of the Telegram platform. Its accuracy is at the leading level in the industry, but it cannot achieve 100% accuracy. Misjudgment may occur in the following situations:

• The user has not disclosed gender information in Telegram, and the system guesses it as empty or unknown.
• Some non-human accounts (such as robots and test accounts) may be marked as invalid or unknown.
• The age label only represents model estimation and is not suitable for use in scenarios that require ID card-level accuracy.

Best Practice: Use gender detection as a batch screening tool rather than a single verification tool. When you have thousands or tens of thousands of numbers, the statistical distribution is reliable. It is recommended to use it in conjunction with the activity field. If a number is male but has extremely low activity, it can be downgraded or excluded.

Cost control: How to estimate the cost of tg male number testing

KK-DATA adopts the pay by item model, there is no subscription package, you only pay for what you use. Each time a number is detected, the corresponding fee will be deducted from the balance. The specific unit price varies depending on the detection platform and type. Please refer to the real-time price of the console. The system will automatically calculate and display the estimated cost before submitting the task.

Cost control suggestions:

1. Test with a small number of numbers first: For example, generate 200 numbers from the global generation module, submit a small task, and observe the gender ratio. If the proportion of target males is too low (for example, less than 10%), you can adjust the country/region or number range.
2. Use deduplication warehouse: Avoid the same number being detected repeatedly, especially when you import in batches.
3. Set active window: Only detect numbers that have been active in the past 30 days to reduce the waste of long-term inactive numbers.
4. Focus on estimated costs: The estimated cost will be displayed every time you create a task, making it easier for you to plan your budget.

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How to verify whether the tg male number test result is valid?

Although KK-DATA’s detection model has been verified for a long time, if you need to further confirm the reliability of the data, you can take the following simple methods:

1. Random Sampling: Randomly select 20-50 male numbers from the exported numbers, manually search through Telegram or use other tools to view their avatars and profiles to determine whether they are male. If more than 90% meets expectations, the results are credible.
2. Cross-validation: If there are a small number of known male numbers from other channels at the same time, they can be mixed into the sample and submitted for testing to see if they are correctly identified.
3. Effect verification: Send a low-harassment promotional message to the detected male number and observe whether the click-through rate or reply rate is higher than that of unscreened random numbers. If the conversion rate increases significantly, it means that the screening is effective.

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FAQ

**Q: How accurate is the TG male number detection? ** Answer: KK-DATA’s gender detection is based on a multi-dimensional data model, and its accuracy is at the leading level in the industry, but it is not guaranteed to be 100% accurate. It is recommended to make a comprehensive judgment based on activity, tgid and other fields, so that the effect is more reliable when used in large quantities.

**Q: How much does it cost to detect TG male number? ** Answer: The platform deducts fees based on the number of tests, and there is no subscription package. The specific unit price varies depending on the detection platform and type. For details, see the real-time price of the console. The estimated cost will be displayed before submitting the task to facilitate budget planning.

**Q: How to start detecting TG male number if there is no ready-made number? ** Answer: You can use KK-DATA’s global number generation module (free), which covers 240+ countries/regions, generate it randomly or by number segment, and then submit the screening task directly.

**Q: What information can be exported from the detected TG male number? ** Answer: Supports exporting Telegram activation status, activity, gender, age (part data), tgid and other fields in CSV/TXT format, which is easy to import into CRM or outbound call systems.

**Q: How to avoid wasting balance due to repeated testing of tg male numbers? ** Answer: KK-DATA has a built-in data deduplication warehouse. Each time a task is submitted, it will automatically compare the historical detected numbers and skip duplicates, effectively saving costs.

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Now, you can try it out right away. Log in to the console, use the global number generation module to create a number list for free, submit a Telegram screening task and check the gender test, and you will get the first batch of tg male number results in a few minutes. If you have any questions, two-way contact customer service is ready to answer your questions.

👉Log in to the console to start screening numbers Two-way contact customer service:https://t.me/kkdata_robot For more functions, please see the official website: https://kkdata.cc/ Usage documentation:https://docs.kkdata.cc/