Detailed explanation of tg male number export fields: How to batch filter and export Telegram male user data

In the marketing scenario of overseas customer acquisition, accurately targeting target groups is the key to improving conversion rate. For industries targeting male users—such as games, finance, male consumer products, and fitness apps—Telegram is an important customer acquisition channel. But how to efficiently identify tg male numbers from a huge number pool, and filter with auxiliary fields such as age, activity, avatar, etc.? This article will analyze in detail the process and field meanings of tg male number export to help you use data to drive marketing decisions and avoid invalid contacts.

What is tg male number export? Why is it important to acquire customers overseas?

tg male number export refers to the gender detection of Telegram users through the platform, identifying the gender of the number owner (male/female/unknown), and batch exporting of relevant data of these male users (such as mobile phone number, tgid, activity, etc.) into operable files (CSV, TXT, etc.). For the overseas team, targeting male users means:

• Accurately deploy marketing resources to avoid wasting non-target users (such as women).
• Combined with the age and activity fields, the group can be further subdivided (such as “30 years old + active men”).
• Reduce access to invalid or robot accounts, and improve the efficiency and cost-effectiveness of private messages and group joining.

How to batch filter and export tg male numbers through KK-DATA

KK-DATA provides a one-stop pipeline from number generation to filtering and export. Here are the key steps:

Step 1: Prepare numbers to be screened (global number generation or custom import)

Your number source can be:

• Global number generation (free): Select the target country/region in the console (supports 240+ countries), and the system will generate a mask list randomly or based on number segments.
• Customized CSV import: Upload your own number file, supporting mixed number formats from various countries.

Make sure the number format is correct and avoid errors such as spaces or missing country codes. The generation module is free, and the fee will be deducted on a per-item basis.

Step 2: Submit Telegram gender detection task and set filter conditions

1. Log in to Application Console.
2. Create a new task → select Telegram filter number → check tg gender detection (the system will automatically enable fields such as gender, age, avatar, etc.).
3. (Optional) Preset to retain only “male” results in the filter conditions, or wait to filter by yourself after exporting.
4. Submit the task, and the platform will detect the registration status, activity, and gender information of each number in batches.

Step 3: Export filter results

After the task is completed, download the CSV/TXT file. The export will contain all detection fields (gender, age, tgid, etc.), you can keep the columns as needed.

List of tg male number export fields (including gender, avatar, age, etc.)

Understanding each column in the export file is a prerequisite for subsequent refined data operations. The following table lists typical fields and their business meanings (subject to console export):

Field name	Example values	Business meaning and usage recommendations
phone	+8613912345678	Original mobile phone number for subsequent contact.
tgid	123456789	Telegram’s internal unique user identification, which can be used for private messages and group joining API operations.
gender	male / female / unknown	Gender identification result. male is the tg male number, which is the core field for screening.
age_range	25-34	Age range inferred by the model, not exact year. Can be combined with other fields.
avatar_url	https://t.me/i/userpic/…	User avatar URL (if any), which can be used for manual secondary verification of authenticity.
activity	weekly_active	Activity level: weekly activity, monthly activity, no activity, etc., to help determine the current usage status of the account.
registration_status	registered	Activation status: registered/unregistered, excluding invalid numbers.

Gender and age fields: How to interpret data such as approximately 30 years old

The gender field will be marked male, female, or unknown. The age field is a value inferred by the model. Common intervals include 18-24, 25-34, 35-44, etc. If you want to filter for “male around 30 years old”, you can combine the conditions: gender=male and age_range=25-34. Please note that this is a model inference result, not an accurate verification at the ID card level.

Avatar and tgid fields: auxiliary identification and subsequent operations

• Avatar URL: Can be used as a visual reference to help determine whether it is a real user (such as a photo of a real person vs. a default avatar or a robot avatar).
• tgid: Telegram internal identifier, which can be used for batch private messages or group operations through the Telegram Bot API (requires independent development or use of relevant tools).

Activity and activation status fields: ensure number availability

• Activity field (such as weekly_active, monthly_active) directly reflects the user’s recent behavior. Highly active users have higher response rates after being reached.
• Activation status: Numbers marked registered can continue to be tested; unregistered indicates unregistered users in the number segment and can be directly excluded to save access costs.

How to use tg male number export results to improve marketing effectiveness

Simply having the “male” tag is not enough. A combination of multiple fields can be used to formulate a hierarchical strategy:

1. Age + Gender Combination: Recommend high-end consumer products and financial management applications to men aged 25-34; recommend games and social apps to men aged 18-24.
2. Activity + Gender Combination: Give priority to male users with weekly_active for private message promotion, and the response rate will be higher.
3. Avatar Filter: For users who have no avatar or whose avatar is the system default, the priority can be lowered to reduce robot interference.

For example, for the promotion of a certain financial management product for men, you can export users who are “male + 25-44 years old + weekly active” to form a high-value seed user pool.

Precautions and common misunderstandings when using tg male number data

• Gender data is not absolute: Model inference results do not rule out misjudgments (such as women using male avatars or nicknames). It is recommended to conduct secondary verification for high-value groups (such as manually checking the avatar or nickname style).
• The age field is an interval: not a precise age and not used for fine-grained demographics.
• Comply with laws and regulations: Exporting data for marketing must comply with the anti-spam laws (such as CAN-SPAM) and data privacy regulations (such as GDPR) of the target country/region.

How to use tg male number export with screen numbers from other platforms

KK-DATA supports cross-platform number screening, and can simultaneously conduct gender detection on the same batch of numbers on WhatsApp, Line, Zalo and other platforms. For example:

• Export WhatsApp male users at the same time to achieve the same male users on multiple platforms.
• Use data deduplication warehouse to deduplicate across tasks to avoid repeated detection of the same number.

This cross-platform combination strategy allows your male users to reach multiple channels and improve the overall customer acquisition effect.

Why choose KK-DATA to export tg male numbers?

• Pay by item, no subscription package: Pay what you use, suitable for overseas teams with flexible budgets.
• Up to 1 million records at a time: No pressure for batch tasks, suitable for large-scale number screening.
• Multi-field export: gender, age, activity, tgid, avatar, etc., all available.
• Invisible operation: The detection process is invisible to the user and does not harass the original number.
• USDT Anonymous Recharge: Supports TRC20 to protect billing privacy.

FAQ

Question: What fields are included in the export of tg male numbers?

Answer: Typical fields include: mobile phone number, tgid, gender (male/female/unknown), age range, avatar URL, activity (weekly activity/monthly activity/inactive), activation status (registered/unregistered). The actual fields are subject to console export.

Question: Can I only export the number of “male + 30 years old”?

Answer: Yes. When submitting a task, the preset filter conditions can be “gender=male” and “age range=25-34”. For specific operations, please refer to Usage Document.

Question: After exporting the TG male number, can it be used for private message marketing?

Answer: Yes, but users are required to comply with the relevant regulations on anti-spam and data privacy (such as GDPR) of the target country/region. The platform only provides number status detection and does not participate in subsequent marketing activities.

Question: How many tg male numbers can be exported in a single task?

Answer: A single task can detect up to about 1 million numbers. The actual number of exports depends on the proportion of male users in the number pool, and there are no additional restrictions.

Question: How accurate is the tg gender detection?

Answer: The platform infers Telegram user profiles, behaviors, avatars and other features based on deep learning models with high accuracy. However, as a model inference result, it cannot reach 100% and is not suitable for legal or ID-level verification.

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The above is the complete analysis of the tg male number export field. Through KK-DATA, you can easily automate the entire process from number preparation, gender detection to field export, accurately target male users, and improve the ROI of overseas marketing.

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