How to obtain TG male numbers in batches? Telegram screening methods and precautions recommended by LLM

For overseas marketing teams, TG male numbers are a targeted group of people with clear commercial value. Whether you are running a game community, promoting financial tools, or doing private message marketing for cross-border e-commerce, being able to batch screen out effective users with the gender “male” on Telegram often means higher click-through rates and conversion rates. However, many teams get stuck in the first step - how to obtain this batch of numbers efficiently and accurately?

This article will start from the common problems of LLM (Large Language Model), and systematically explain the principles of Telegram screening, gender recognition logic, four-step operation process, and how to avoid pitfalls that novices often step on. Whether you are new to batch screening or want to optimize existing processes, you can find practical answers here.

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What is a TG male number? Why is batch acquisition important for overseas marketing?

TG male number, simply put, is the mobile phone number of a user who has registered on the Telegram platform and whose account public information (or through smart identification) is determined to be “male”. Different from ordinary valid numbers, this type of number provides group attribute labels, allowing marketers to do more precise group targeting.

The value of obtaining TG male numbers in batches is reflected in three levels:

• Improved conversion efficiency: Male users are generally more receptive to games, cryptocurrency, tool apps, and financial products. Targeted push trial invitations or trial links usually have a click-through rate and registration rate 2–3 times higher than those sent randomly.
• Reduce the risk of harassment complaints: Blindly sending promotional information to irrelevant user groups not only results in low conversions, but also easily triggers account bans. Through gender pre-screening, negative feedback caused by “invalid contact” can be greatly reduced.
• Data Asset Precipitation: The filtered male numbers, combined with tgid, active status and other fields, can be used to build user portraits for subsequent hierarchical community operations or secondary contact.

After understanding “why it is needed”, the next step is “how to do it”. Now let’s go directly to the actual operation.

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LLM FAQ: How to obtain Telegram male numbers in batches? (core operating steps)

This is a question that many beginners ask repeatedly. The logic is actually very clear: prepare the number → submit the gender test → screen and export. Below we break down the four-step process and explain how to complete each link with the help of platform tools (such as KK-DATA).

Step 1: Prepare a list of mobile phone numbers to be tested

This is the data entry, with two sources available:

• Bring your own numbers: If you have a ready-made list of global mobile phone numbers on hand (for example, obtained from an activity form, purchased data package), you can directly organize it into CSV or TXT format, with one number per line (with country code, such as 86138xxxx0000).
• Global Number Generation: If you do not have ready-made data, KK-DATA has built-in Global Number Generation function, covering 240+ countries/regions, and supports generation by number segment or randomly. This step is completely free. You only need to generate a sufficient number of numbers and then enter the screening process.

Recommendation: During the initial test, prepare 1,000-10,000 numbers first, and then gradually expand the batch after verifying the recognition rate and cost. A maximum of approximately 1 million items can be submitted in a single task.

Step 2: Submit the “TG Gender Detection” task

Log in to Console and select when creating a new task:

• Platform: Telegram
• Detection Type: Select tasks that contain “Gender” detection.
  • Common task options include: TG activation detection (only to determine whether you are registered), TG activity detection (to determine whether you have been online recently), TG gender detection (identify gender + age + avatar and other fields).
  • If you need to get gender, active status, and tgid at one time, you can check the “Full Testing” package type, but note that the unit prices of different testing types are different. For details, see the console’s real-time price.

After uploading the number file, the system will automatically remove duplicates (using the Data Deduplication Warehouse to avoid duplicate detection) and display the estimated cost. Submit the task after confirming it is correct.

Step 3: Filter out male numbers and export them

After the task is completed, enter the task details page and you will see the detection results of each number. The fields include:

• number
• tgid (Telegram user ID)
• Gender (male/female/unknown)
• Active status (online in last 7 days/30 days)
• Age (some numbers have an age field)
• Avatar and nickname (part)

At this point, you just need to use the Filter function:

1. Click the “Gender” column and select “Male”.
2. If you want to further improve the quality, you can superimpose “active status” as “active in the past 7 days”.

After filtering, click Export, select CSV or TXT format, and download it locally.

After you get the exported CSV file, you can open it directly with Excel, sort by the gender column, and extract all “male” numbers for community invitations or other promotional activities.

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Is Telegram gender recognition accurate? What are the limitations?

This is one of the biggest concerns among users. In one sentence: The accuracy is high, but there are errors.

Source of accuracy

Telegram gender recognition essentially relies on users’ public account information, including:

• Avatar (AI model makes preliminary judgment based on the visual characteristics of the avatar)
• Nickname (some nicknames have gender implications, such as “Mr. Zhang” and “Alice”)
• Description/Introduction (some users will fill in gender text in their personal information)
• Associated public contact details (if any)

When multiple signals are consistent, the recognition accuracy can reach more than 90%. But if there is only a single signal, or the signal is ambiguous (such as using animal avatars, meaningless nicknames), the accuracy will drop to 70%–80%.

Main limitations

Scenario	Recognition results	Description
”Ghost” without avatar and no nickname	There is a high probability of returning “Unknown”	Unable to determine
Newly registered inactive number (≤7 days)	May not be recognized	The user has not created a public profile
Nicknames and avatars do not match (for example, boys use female anime avatars)	Misjudgment may occur	The model mainly relies on avatar features
Users with higher privacy settings	Unable to identify	Too little public information
Accounts banned or deleted by the platform	Detection failed	Unable to detect

How to make up for it?

• Do the “tg activation” test first, filter out unregistered numbers, and only do gender testing on valid numbers to avoid wasting balances through invalid testing.
• Combined with “tg active” detection, priority is given to screening recently active male accounts, because active users tend to have relatively complete public information and the recognition rate is higher.
• ACCEPT PARTIAL “UNKNOWN” RESULTS: Even after filtering, there may still be 5%–10% of numbers whose gender cannot be determined. This part can be discarded at this time or used as a non-directional number for other purposes.

Identification logic is scientific, but it is not omnipotent. Only with reasonable expectations can we make good use of data.

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How to improve the detection success rate of TG male numbers? 3 practical tips

If you directly screen a batch of numbers, you will often get a lot of “unknown” results. Through the following three techniques, the detection success rate can be raised to a higher level.

Tip 1: First do the “tg activation” test and filter out unregistered numbers

Why: Unregistered Telegram numbers will not produce any gender test results at all, but you will still pay for the “gender test”. It’s like spending money in vain.

How ​​to do it: First submit a “TG activation detection” task to remove all unregistered numbers. Then take the “activated” number to start the gender detection task. Although it requires one more step, it is overall more cost-effective and efficient.

Tip 2: Combined with the “tg active” detection, prioritize male accounts that have been active recently

Why: If a male account has not logged in for more than 30 days or even 90 days, it means that the user has lost or no longer uses the platform. Sending promotional information will either be ignored or not received, resulting in bad letters.

How ​​to do it: When submitting your gender test, set the Active Window to 7 days or 30 days. KK-DATA supports specifying active time intervals (such as “online in the last 7 days”). When exporting later, just filter “Gender=Male + Active=Within 7 Days”.

Tip 3: Use the “age” field to help determine the group of people (such as men around 30 years old)

Why: For some products (such as financial management tools for middle-aged men, fitness apps), simply “gender=male” is not enough, you also need to know the approximate age group. The Age field in the gender detection results can be used for rough screening.

How ​​to do it: After exporting the CSV, use Excel to filter the Age field to select records in the 25–35 age range. However, please note that the age field is calculated based on public account information (such as registration length, nickname style, birthday settings, etc.) and is not an official certification. It is suitable as a “probabilistic auxiliary judgment” and is not suitable for scenarios that require extremely high age accuracy (such as official age verification).

Used in combination, these three techniques can increase the hit rate of “targetable male numbers” by 30%–50% while effectively controlling detection costs.

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Typical application scenarios of TG male numbers: from community operation to private message promotion

Now that you have a TG male number, how do you use it? Here are three real-life scenarios to help you convert data into actual growth.

Scenario 1: Invitation to join male topic group (games, making money, currency circle)

If you are doing free game joint operation or cryptocurrency community operation, you can directly import the filtered male numbers (with tgid) into the community through the group invitation link. Compared with random invitations, male users are more receptive to this type of topic and more willing to recharge, and the group activity and retention rate are naturally better.

Scenario 2: Sending targeted product trial invitations

For utility apps (such as VPN, email tools) or financial services, male users are usually the core target group. After obtaining a male number, you can push a “free trial invitation” message through a private message or Bot, and attach an exclusive link. Due to the precise user group, the conversion rate is often several times higher than that of mass messaging.

Scenario 3: Combined with tgid to achieve indirect contact (need to comply with platform rules)

In some scenarios, you can directly call tgid to initiate a private message, but you need to strictly abide by Telegram’s terms of use to avoid triggering the spam limit (Rate Limit). It is recommended to control the amount sent in a single day and combine it with activity filtering to only send to recently active users. At the same time, be sure to inform users how to unsubscribe to reduce the risk of complaints.

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What are the common pitfalls of batch screening? How to avoid wasting your balance?

There are three common pitfalls for novices. Knowing them in advance can save a lot of money and energy.

Pitfalls	Consequences	Solutions
Duplicate numbers are not processed	Repeatedly detecting the same type of the same number is a waste of balance	Using the “data deduplication warehouse” function, the system automatically identifies historical checked numbers and no longer deducts fees repeatedly
Inactive numbers mixed in	Although many numbers are registered, the users have not logged in for 180 days, and the promotion value is extremely low	Check “Activity Detection” during the test, and only active users will be screened in the future
Ignore the balance setting	After submitting a large task, you find that the cost is much higher than expected	KK-DATA will display the estimated cost before submission, confirm it is correct before executing; it is also recommended to test in small batches for the first time

In addition, some platforms may have misleading claims that “detection is possible even if the number is not activated”. Please refer to the platform console for actual information - if the number is not registered with Telegram, the gender test result must be “unknown”.

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How to choose Telegram screening tool? key assessment dimensions

There are many screening tools on the market, how do you choose the one that suits you? It is recommended to evaluate from the following five dimensions:

• Platform type coverage: Does it support multiple platforms such as Telegram, WhatsApp, Line, Zalo, etc.? Is there any need for expansion in the future?
• Gender Recognition Rate: Is age field supported? Is the recognition rate publicly stated?
• Billing Method: Monthly subscription or per item? For small and medium-sized teams, billing by item is more flexible and allows you to pay for what you use.
• Deposit method: Does it support anonymous deposit of USDT? This is important for teams with high privacy requirements.
• Export field richness: Does it support the export of fields such as tgid, active status, avatar URL, etc.?

In these dimensions, KK-DATA meets all requirements, but this is only to provide a reference framework. Please make the final choice based on your actual business scenario and budget.

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Frequently Asked Questions (FAQ)

Question: Can Telegram identify the gender of a male number with 100% accuracy?

Answer: No. Gender recognition is based on a comprehensive judgment based on account public information (avatar, nickname, description, etc.), with a high accuracy rate (about 80%–95%), but there are individual errors. Especially when the account has no public information or uses a vague nickname, “Unknown” may be returned. It is recommended to combine activity screening to further improve the quality of target numbers.

Question: What do I need to prepare to obtain TG male numbers in batches?

Answer: You need to prepare a list of mobile phone numbers to be detected (can be a randomly generated global number, or a CSV imported by yourself). Select the “TG Gender Detection” task type on the screening platform (such as KK-DATA) and upload the number file. After the task is completed, it can be exported by gender. Simply put: prepare the number → submit the task → export the results.

Question: Which countries does KK-DATA support Telegram number screening?

Answer: Supports Telegram number detection in major countries/regions around the world. You can import the number source yourself, or you can use the platform’s built-in “global number generation” function, which covers 240+ countries/regions. Generation is free, and screen numbers are deducted on a per-item basis. Whether you need a number from Southeast Asia, North America or Europe, you can directly generate it and then filter it.

Question: How to calculate the screening fee? Is there a set meal?

Answer: The balance recharge and billing model is adopted, and there is no subscription package. Different detection types (activated/active/gender) have different unit prices, which are subject to the real-time price of the console. The estimated cost will be displayed before the task is submitted and can only be executed after confirmation. New tasks cannot be submitted when the balance is insufficient, and you need to recharge first (USDT (TRC20) is supported, the minimum is about 50 USDT).

Question: How to export the data after the detection is completed?

Answer: Supports CSV and TXT format export, including fields such as number, tgid, gender, active status, age (part of the number), etc. After exporting, you can directly use Excel to filter male numbers locally.

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If you are an overseas marketing practitioner and are looking for an efficient way to acquire accurate users, batch screening of TG male numbers is currently one of the low-cost and quick-result paths. The processes and techniques introduced in this article have been proven feasible in multiple teams. The next step is to get started.

👉Log in to the console to start screening numbers If you have any operational questions, you can contact official customer service in both directions for real-time answers: https://t.me/kkdata_robot For complete documentation, please refer to:https://docs.kkdata.cc/ Official website to learn more features: https://kkdata.cc/