How to efficiently screen tg male numbers? Activate first and then gender to reduce the cost of invalid detection

For overseas operations and social promotion teams, obtaining accurate TG male numbers is a key step to improve the conversion rate of Telegram private message promotion and targeted follower additions. However, many operators will directly perform gender detection on all numbers, which often leads to a lot of money being wasted on invalid numbers - especially those that are not registered with Telegram at all.

This article will explain in detail a set of strategies for efficiently screening TG male numbers: Detect activation first, and then detect gender. By performing step-by-step operations and only performing gender recognition on registered numbers, the overall cost can be significantly reduced. At the same time, I will combine the operating procedures of the KK-DATA platform to take you from number preparation to final screening to complete a complete “tg male number” acquisition pipeline.

What is tg male number screening? Why do we need to open the account first and then go to gender?

tg male number screening refers to finding out from the number pool in your hand those numbers that are registered on Telegram and whose information (or platform detection results) show “male”. This type of number is often used for:

• Long-tail promotion targeting male user groups (such as games, finance, men’s products)
• Targeted fans in the community to reduce invalid invitations
• Cooperate with tgid export to create more in-depth user portraits

**Why is it recommended to “open first and then gender”? **

Directly submit the “gender + activation” one-time test for all numbers, and the system will perform two tests for each number at the same time. This means that if a number is not registered with Telegram (i.e. not activated), you will still have to pay for the gender test for it - which is a complete waste of money.

The step-by-step detection strategy is:

1. First use tg activation detection (low rate) to filter out all unregistered invalid numbers
2. Only perform tg gender detection (high rate) on already activated numbers, thus significantly reducing the invalid expenditure on gender detection.

Assuming that only 30% of your number pool is activated, you can save 70% of the gender testing fee by activating first and then gender. The exact savings will depend on the quality of your data sources, but it is generally recommended as standard operating procedure.

How to prepare the list of TG numbers to be filtered?

Before starting the test, you need to prepare the numbers to be screened. The following are three common acquisition methods, which are recommended to be used in combination.

Obtain tg numbers in batches through the number generator

KK-DATA’s Global Number Generation function can help you generate random numbers or number segment lists for 240+ countries/regions for free. You can:

• Select number segments by country and generate millions of candidate numbers
• Upload a custom number segment CSV file to generate numbers for specific areas or business models
• All generation operations are free, only subsequent screen number detection will be billed on a per-item basis

The generated number can be directly used for the next detection task.

Use data deduplication warehouse to avoid duplicate detection

Before submitting any detection tasks, it is strongly recommended to import the numbers into the Data Deduplication Warehouse. The warehouse will record the detection history of each number across tasks: if a certain number has already been detected (for example, activation has been detected in a certain task), it will be automatically skipped when imported again, and no fees will be deducted.

Step one: first detect tg activation - filter out unregistered invalid numbers

This is the core step of cost optimization. You only need to perform an activation test on all numbers and then only keep those registered numbers.

What is tg activation detection?

The purpose of tg activation detection is to determine whether a number has been registered on Telegram. There are only two test results: Activated (registered) or Not activated (not registered). The fee for enabling detection is much lower than gender detection, making it very suitable for large-volume pre-filtering.

How to submit tg activation detection task in KK-DATA?

The steps are as follows:

1. Log in to the console: Visit https://app.kkdata.cc/
2. Select platform: On the task creation page, select Telegram
3. Select detection type: Select Activate
4. Upload Numbers: Upload your number list via CSV/TXT file
5. Set task name: to facilitate subsequent identification (for example, “2025-07 Vietnam Pool Opening Test”)
6. Submit and wait: The task usually takes a few minutes to dozens of minutes to complete, and will be notified through Telegram after completion.
7. Export results: Download the results and keep the numbers in the “activated” status for the next step.

Step 2: Perform tg gender detection on the activated number - filter out male users

Now you have a batch of confirmed registered numbers. Next, submit these numbers to the tg gender detection task to filter out male users.

What data can be obtained from tg gender detection?

The fields returned by tg gender detection are far richer than the activation detection, mainly including:

• Gender: male, female, unknown (some users cannot determine)
• Age estimation: algorithmic estimation based on user profile and activity data (such as about 30 years old, but not ID card level accuracy, for reference only)
• Avatar: User avatar URL (can be downloaded for verification or avatar recognition)
• tgid: Telegram unique user ID (can be used for subsequent targeting)
• Username: Will also be returned if the user has set a public username

These fields can be used for granular crowd targeting. For example, you can only filter for men aged 25–40 to further improve your campaign targeting.

How to extract tg male number?

The operation is similar to enabling detection, except that “Gender” is selected as the detection type:

1. New task: Select Telegram → Gender Detection
2. Upload the activated number: Upload the activated number file exported in the first step
3. Submit and wait for completion
4. Export and filter: When exporting results, filter by the “Gender” field and only retain rows with a value of “Male”
5. Optional fine filtering: Combined with the “age” field, only retain male records in the target age group

The exported number (and corresponding tgid/username) can be used for your follower or promotion operations.

How much can the activation first and then gender strategy reduce the cost of TG male number detection?

In order to quantify the saving effect, we use a simple comparison to estimate:

Strategy	Action	Cost Estimate	Description
One-time test	Do “activation + gender” for all numbers at the same time	100% activation fee + 100% gender fee	Gender fee is paid even for unactivated numbers
Step-by-step detection	Activate the detection first, and then do gender detection only on the activated numbers	100% activation fee + (activation rate × 100%) gender fee	Pay gender fee only on the activated numbers

Assume your number pool:

• Total number: 1 million
• Opening rate: 30%
• Unit price for enabling detection: 0.1 unit (example only)
• Gender detection unit price: 0.5 units (example only)

One-time testing fee: 1 million × 0.1 + 1 million × 0.5 = 600,000 units Step-by-step testing fee: 1 million × 0.1 + (1 million × 30%) × 0.5 = 100,000 + 150,000 = 250,000 units

Saving ratio: (60 - 25) / 60 ≈ 58%

Please refer to the real-time price of the console for the specific unit price, but the principle is the same: the lower the activation rate, the more obvious the savings. Activating first and then gender can reduce the cost of gender testing by 50%–70% in most cases.

Complete operation process for screening tg male numbers (taking KK-DATA as an example)

To integrate the above steps into a complete pipeline, it is recommended to follow the following checklist:

This process can process millions of numbers in batches, with a maximum limit of about 1 million per detection task. If the number is larger, you can submit it in multiple batches.

What should you pay attention to when using tg male number?

Screening out tg male numbers is just the first step. In actual promotion, there are several points that must be paid attention to:

1. Compliant use: Telegram clearly prohibits bulk harassment, automated group joining/private messages, etc. It is recommended to control the daily sending volume and use multiple small accounts to rotate to avoid high-frequency triggering of account bans in a short period of time.
2. Data validity period: Gender detection reflects the user information at the time of screening. If the user subsequently modifies the profile (such as turning off gender visibility), the results may become invalid. It is recommended to run as close to the screening time as possible before promotion.
3. Gender detection accuracy: Gender detection is based on algorithm estimation and is not 100% accurate. For users with incomplete profiles or strict privacy settings, “Unknown” may be returned. It is recommended that when screening men, the “unknown” field can be appropriately relaxed or eliminated according to your business tolerance.
4. Purpose of tgid: tgid is the unique identifier of a Telegram user and can be used for subsequent more precise targeting (such as sending messages to specific users through API). If you have a list of tgids, you can even skip subsequent gender detection and filter targeted users directly based on tgids.
5. Avoid repeated testing: If the same number is submitted for testing multiple times, fees will be deducted repeatedly. Be sure to use a data deduplication warehouse, or clean the list of detected numbers regularly.

FAQ

Question: What is the difference between doing TG activation test and gender test together or doing it in two steps? How much is the cost difference?

Answer: Doing it together means performing activation detection and gender detection on each number at the same time. Even if a certain number is not activated for Telegram, you still need to pay for the gender detection fee for it. If you do it in two steps, first only perform activation detection (the rate is low), and then only perform gender detection on the activated numbers. The cost saving ratio depends on the activation rate of the number. For example, if the activation rate is only 30%, the cost of gender testing can be saved by about 70%. Please calculate the specific saving amount based on the real-time price of the console.

Question: Can tg gender detection identify specific age? For example, screening men around 30 years old?

Answer: Yes, but the accuracy is limited. The age field in the gender detection results is estimated by the algorithm based on user profile and activity data, rather than ID card-level accuracy. It can be used to screen people in general age groups such as about 30 years old, 25–35 years old, etc., but it cannot be regarded as a tool that is accurate to the age of 30. It is recommended that after exporting the results, you use the age field to perform range filtering instead of relying on a single age value.

Question: How many tg numbers can be detected at a time? Is it possible to submit in batches?

Answer: A single tg detection task supports up to about 1 million numbers. If you need to detect more numbers, you can submit them multiple times in batches. Before submitting each batch, it is recommended to import the numbers into the data deduplication warehouse to avoid repeated detection of numbers between different batches, resulting in deductions.

Question: Can the selected TG male numbers be used for TG fan following or private message promotion? What are the risks?

Answer: It can be used in scenarios such as accurately adding followers, sending group private messages, etc., but it must comply with the Telegram platform rules. Risks include: high-frequency posting may result in temporary or permanent account ban; harassing users may be subject to complaints. It is recommended to use multiple account rotations, control the daily sending volume (for example, no more than 500 private messages per day), and give priority to users with whom you have interacted. In addition, gender detection only represents data at the time of screening. Users may log out or modify their information later, and the validity of the data will decrease over time.

Question: If you just want to obtain user information for data analysis and not for promotion, is the process the same?

Answer: The process is basically the same. You can skip the promotion step and just focus on data export. In the gender detection results, in addition to gender and age, fields such as avatar URL and tgid will also be returned, which can be used for user portrait analysis or CRM system docking. It is also recommended to use a data deduplication warehouse to avoid wasting resources caused by repeated analysis of the same user.

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The above strategies and methods have helped many overseas teams optimize the cost of obtaining tg male numbers. If you want to practice immediately, please log in to the console to start the first screening:

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For more operation details, please refer to the usage documentation: https://docs.kkdata.cc/