The Ultimate Guide to Obtaining and Screening TG Male Numbers: From Generation, Screening to Marketing Applications

#tgThe Ultimate Guide to Obtaining and Screening Male Numbers: From Generation, Screening to Marketing Applications

In overseas marketing and private domain customer acquisition, accurately reaching target users is the key to improving conversion rates. If you are running a Telegram community, conducting private message promotion or B2B customer development, tg male number is undoubtedly a high-value data dimension - it helps you focus your resources on users who are registered on Telegram and are male to avoid invalid contact. However, many operators do not know how to efficiently obtain, filter and correctly interpret this data.

This guide will comprehensively cover the screening and use of tg male numbers from definitions, acquisition methods, practical procedures, data field interpretation, marketing scenarios to common misunderstandings. This article will use the KK-DATA platform as a tool example to demonstrate the complete pipeline from “number generation” to “gender screening” to “export for use”. Whether you are new to it or have experience, this content can provide you with practical reference.

What is a tg male number? Why is it needed for overseas marketing?

tg male number refers to the registered user number on the Telegram (tg) platform whose gender test result returns “male”. This gender label is not filled in by the user actively, but is inferred through an algorithm based on the public information associated with the number (such as username, avatar, nickname, etc.).

For overseas marketing teams, the value of using tg male numbers is:

Improve targeting accuracy: Many products (such as games, male consumer goods, B2B services) naturally target men. Directly screening tg male numbers can avoid pushing to irrelevant groups and increase click-through rates and conversion rates.
Reduce the risk of harassment: Blindly sending group messages can easily lead to account bans. First, male users are screened out, and then combined with activity detection, only the male numbers that have been “active recently” are sent, making it more friendly to reach.
Cost Savings: In the per-item billing mode, only the target group is paid instead of paying for all numbers. Screening tg male numbers is equivalent to a “pre-filtering”, and subsequent marketing expenses will be more concentrated.

Of course, tg male numbers are not a panacea. It is just a directional dimension that needs to be used in conjunction with fields such as activity and age to achieve “high intention” reach.

tg Two ways to obtain male numbers: generation and screening comparison

There are two main ways to obtain TG male numbers: generate the number first and then filter, or directly filter the existing numbers. Each of the two methods has applicable scenarios. The following table briefly compares:

Method	Operation process	Efficiency	Cost structure	Applicable scenarios
Method 1: Global number generation and then screening	Use the platform to generate random numbers by country/number segment (free) → Submit gender detection tasks → Export male results	Fast generation, screening depends on quantity	Free generation, screening will be deducted per item	When the target market number data is insufficient, a new number pool may be required
Method 2: Directly submit existing numbers for screening	Import your own number list (such as obtained from public data, own channels) → Submit gender detection task → Export male results	Screen existing numbers directly	Only screening fee	Already have a certain number pool (such as community members, public crawled data)

For most overseas teams, Method 1 is more flexible - you can generate large batches of numbers for specific countries (such as Vietnam, Thailand, Indonesia), and then filter to obtain TG male numbers; Method 2 is suitable for scenarios where you already have numbers but lack gender tags, such as customer data imported from other platforms.

Method 1: Global number generation and then filtering

The KK-DATA platform provides global number generation function, supporting 240+ countries/regions, custom number segments, CSV import, etc. The steps are as follows:

Log in to Console and enter the “Number Generation” module.
Select the target country (such as Thailand), enter the number segment (or directly generate a random number), and set the quantity. The generation process is free and does not consume your balance.
After the generation is completed, export the number or directly submit the number screening task. Select the “Telegram Gender” detection type in the screening task, submit it and wait for the result.
After the task is completed, filter out “Gender = Male” in the export interface and export to CSV/TXT.

Free generation, filter by items

Global number generation does not consume balance, and fees will only be deducted when submitting gender detection tasks. You can check the estimated cost on the console before submitting the task to avoid insufficient balance. Even if 10,000 numbers are generated, the cost will only be paid for 10,000 times when detected. If no detection is performed, there will be zero cost.

Method 2: Directly submit the existing number and filter the male field

If you already have a list of numbers (for example, leads obtained from Telegram public groups or advertising campaigns), you can skip the generation process directly:

Create a “Screen Task” in the console and select “Telegram Gender”.
Upload the number file (supports CSV/TXT, one number per line).
Confirm the estimated cost and submit it.
After the task is completed, export the male number.

This method eliminates the generation step and is suitable for scenarios where the data source is clear and gender labels need to be obtained quickly.

Complete operation process of using KK-DATA to filter tg male numbers

Taking KK-DATA as an example, we will explain in three steps how to filter out tg male numbers from zero to one. Even if it’s your first time using it, you can follow along.

Step 1: Create a screening task (select Telegram platform and gender detection)

Visit Application Console and log in using Telegram account (supports two-way contact with customer service robot @kkdata_robot for guidance).
Click “New Task” → select the platform “Telegram”.
Check “Gender” in the detection type (usually multiple selections can be made with fields such as “Active” and “Active”). If you only need male numbers, it is recommended to check “Activity + Gender” at the same time to get the “recently active TG male numbers” in one step.
The system will display the estimated cost (based on the number of uploaded numbers × the unit price of the selected test type). After confirming it is correct, proceed to the next step.

Step 2: Submit the number and wait for the result

Upload the number file (CSV or TXT, one number per line). A single task supports up to about 1 million, and more than that can be submitted in batches.
Click “Submit Task” after confirming that the balance is sufficient.
The task enters the queue, and when completed, the platform will notify you through Telegram (if you enable binding notifications).
You can also check the task progress in real time on the console. Generally, it can be completed in a few minutes for thousands of numbers.

Step 3: Export male numbers and use them for subsequent marketing

After the task status shows “Complete”, click to enter the task details page.
Select the export format (CSV or TXT) and check the required fields: number, gender, age (approximately), activity, tgid, etc. It is recommended to export at least the number and gender.
Filter “Gender=Male” in the data and then export. You can also use the “Data Deduplication Warehouse” directly within the platform to clean up duplicate numbers to avoid wasting balances due to repeated detection next time.
Use the exported tg male number for subsequent marketing activities, such as private message promotion, group invitations, etc.

How to interpret the data field of tg male number? Age, activity level and gender

The filtered tg male number is not the final answer. You need to correctly understand the meaning of each field to make an effective decision.

Gender field: Male / Female / Unknown

Detection principle: Telegram public information (username, avatar, nickname, description, etc.) based on number association is inferred through algorithms. Therefore, it is not 100% accurate, but the accuracy can usually reach 70%–85% with large amounts of data.
Usage Suggestions: Don’t trust too much in a single piece of data, but when used for batch targeting, the accuracy is enough to significantly improve marketing efficiency. For example, if you send 1,000 male-directed messages, the response rate may be doubled compared to blindly sending 1,000 messages of unknown gender.

Age field: How to use it to filter the “male around 30 years old” crowd?

The age in the test results is an estimate (such as the “25-30” or “30-35” interval), and is not ID card-level accuracy. The age field returned by the KK-DATA platform is inferred based on age keywords that may appear in nicknames, descriptions, etc., and can only be used as a reference.

Correct Usage: If you need “male around 30 years old”, you can combine the age interval filtering after exporting, for example, select the male number with “age=30-35”. REMEMBER: Do not use this data where precise age verification is required.
Advanced Tip: Cross-screen activity and age. For example, choosing a tg male number who is “around 30 years old” and “active within 7 days” will have a higher reach rate.

Activity field: Select the “recently active” tg male number

The activity field is usually represented by a window of days (such as “active for 7 days”, “active for 30 days”, “inactive for a long time”). Choosing a suitable window is crucial:

Active for 7 days: Suitable for marketing that requires immediate response (such as limited-time activities, live broadcast room promotion).
30 days active: Suitable for general promotion with wider coverage, but some users may have been lost.
Inactive (>90 days): Usually skipped, otherwise it will be easily marked as harassment.

When screening tg male numbers, it is recommended to check “active for 7 days” or “active for 30 days” first, so that you only get male users who have recently used Telegram to avoid reaching abandoned accounts.

tg Typical application scenarios of male numbers in Telegram marketing

The following scenario demonstrates the actual value of tg male numbers. You can choose the most suitable combination according to your business.

Scenario	Target users	How to use tg male number	Expected effects
Game new recruits (mobile games/casinos/guessing categories)	18–40-year-old males, active and interested in gaming channels	Filter tg male numbers + active for 7 days + age ≤35 → Private message or group invitation	Increase registration rate and reduce harassment complaints
E-commerce promotion (men’s consumer goods/sportswear/e-cigarettes)	Users who are in demand for men’s products	Directly send product information to tg male numbers in bulk with coupons	Conversion rate is 2-3 times higher than blind sending
B2B customer acquisition (foreign trade/software/SaaS services)	Corporate decision-makers (mostly men)	Screen tg male numbers + active for 30 days + country is Indonesia/Vietnam/Thailand	Accurately reach small and medium-sized entrepreneurs and save customer acquisition costs
Dating/Social Application (Hookup type, open to men only)	Single men, willing to try new social apps	Filter tg male numbers + activity + age 18–45	Quickly build a seed user pool
Cryptocurrency/Blockchain Promotion	Men interested in financial technology	Screen tg male numbers + 30 days active + countries such as Nigeria/Philippines	Accurately reach potential investors

Common misunderstandings and precautions when filtering tg male numbers

If you can avoid the following misunderstandings, your tg male number screening efficiency will be greatly improved.

Misunderstanding 1: Only look at gender and ignore activity. As a result, a large number of numbers, although they belong to men, have been inactive for a long time. After sending messages, no one responds, and they are even reported.
Misunderstanding 2: Thinking that gender testing is 100% accurate. As mentioned above, the accuracy is about 70–85%. Do not use it in scenarios that require strict gender matching (such as women-only events). It is best to use other dimensions for verification.
Misunderstanding 3: Submitting over 100 million numbers at one time. The upper limit for a single task is about 1 million, and if it exceeds the limit, it can be divided into multiple batches. In addition, be sure to clean duplicate numbers in the “Data Deduplication Warehouse” before submission to avoid repeated deductions.
Misunderstanding 4: Ignoring insufficient balance. After submitting the task, the system will deduct the fee from the balance. If the balance is insufficient, the task will be rejected and you need to recharge first (USDT TRC20 is supported, the minimum is about 50 USDT). It is recommended to keep your balance sufficient.
Mistake 5: Overreliance on the age field. Age is an approximation, do not treat it as an exact number. If you have special needs (such as “accurate to the age of 30”), please use other data sources instead.

Beware of fake customer service

KK-DATA only provides services through the official Telegram robot @kkdata_robot. Any unofficial channels for requesting passwords, transfers and other information are scams. If you encounter problems during operation, please contact us through Two-way Contact Customer Service or Customer Service Telegram @kkdata_robot.

FAQ

**Q: How accurate is the gender of tg male numbers? ** Answer: Gender detection is based on public information inference of numbers and associated information. The accuracy rate is usually 70%–85%, but 100% cannot be guaranteed. It is recommended to combine cross-screening with other fields (activity, age) to improve accuracy.

**Q: Is screening of TG male numbers charged per item? What is the specific price? ** Answer: Yes, all screening tasks are charged based on the number of tests, and there is no subscription package. Different detection types (such as gender only vs. gender + activity) have different unit prices, please go to Console to view real-time prices, or refer to Billing Instructions.

**Q: How many TG numbers can be filtered at most at one time? ** Answer: A single task supports up to about 1 million items. If the number is larger, it can be submitted in batches. The system will automatically merge and remove duplicates.

**Q: Can the selected TG male numbers be used for private message promotion? ** Answer: Yes. However, please pay attention to abide by local laws and regulations and Telegram’s terms of use to avoid account ban due to high-frequency harassment. It is recommended to pre-screen the exported numbers by activity level and only select numbers that have been active recently.

**Q: What fields can be exported from the filter results? ** Answer: The CSV/TXT format contains the number, whether it is registered for Telegram, gender (male/female/unknown), age (approximate value), activity level, tgid, etc. The specific fields are subject to the console export interface.

Now you have mastered the entire process from generation, screening to application of tg male number. The most direct way is to do it yourself and verify the effect in practice.

👉 Log in to the console to start screening numbers Having a problem? Two-way contact customer service: https://t.me/kkdata_robot (Reply within 24 hours) More instructions for use can be found in Official Documentation.