Complete Guide to Obtaining TG Male Numbers: Screening Tool to Find Active Male Users in Batch (Google/Bing Optimization)
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A complete guide to obtaining TG male numbers: How to use the screening tool to find Telegram active male users in batches (Google/Bing SEO optimized version)
In overseas marketing, cross-border e-commerce and private domain promotion, tg male number is a type of high-value user resource - an active number registered on Telegram with male gender identification. It is often used for community operations, private message promotion and A/B testing. But how to accurately screen out male users from a large number of numbers? It is often unreliable to directly purchase the so-called “pure male numbers”. The truly scientific method is to use the number screening platform to detect the numbers one by one, and combine the gender, activity, age and other fields for combined screening. This article will take the KK-DATA platform as an example to teach you step by step how to obtain high-quality tg male numbers in batches, while also providing SEO optimization suggestions for the search intent of Google and Bing.
What is tg male number? Why is it needed for overseas marketing?
tg male number refers to the mobile phone number of a user who has registered (activated) on Telegram and is determined to be male through algorithm analysis (avatar, nickname, behavior, etc.). This type of number has clear targeting value in cross-border marketing:
- Fields with a higher proportion of male users: cryptocurrency, financial investment, games, tool app promotion, male consumer products, etc.
- Improve conversion efficiency: Push content related to male interests to male users to achieve a higher click-through rate and response rate than indiscriminate mass messaging.
- Precise Community Invitation: When operating a TG group, if the target audience is men (such as the DeFi community), male number screening is the first step.
It should be noted that gender detection is not 100% accurate, and its principles and limitations will be analyzed in detail below.
Screening principle of tg male number: Where does the gender field come from?
Before filtering for tg male numbers, it’s important to understand where the gender field comes from. Taking KK-DATA as an example, gender detection is based on the following dimensions:
- Telegram avatar and nickname: The algorithm makes inferences through the characteristics of the characters in the avatar and the wording tendency of nicknames (such as the use of typical male names or symbols).
- User Behavior Pattern: Assisted judgment on speaking frequency, topic preferences, etc. in public groups.
- Age field association: Some test results will be accompanied by an age range (such as 20 to 30 years old), which can be used to further locate people “about 30 years old”.
Things to note about gender testing
The gender field is the result of algorithm guessing, not ID card-level accuracy. Please do not regard this as the absolute truth. It is recommended to combine cross-validation with fields such as activity level and age, especially to avoid excessively high-cost promotion plans due to misjudgment.
What dimensions does gender detection support?
KK-DATA In the Telegram screening task, after checking “Gender Detection”, the export results include the following fields (specifically, the console export column settings shall prevail):
gender:male/female/unknownage_group: Such as 20-25, 25-30, etc. (some numbers may be empty)active_status: active tags in the last 7 days/30 daystgid: Telegram user’s unique ID
How does the age field help interpret the “about 30 years old” group?
In the exported results, the age range field can be used to filter users who are 2530 years old or 3035 years old. Note that this is not an exact age, but a rough range. For example, if you want to promote your product to “men around 30 years old”, you can superimpose the filter conditions of gender=male + age_group=25-30 to get a candidate list. Then combine the activity and other fields to further narrow the scope.
How to filter tg male numbers? Step-by-step operation guide (KK-DATA as an example)
The following takes the KK-DATA console (https://app.kkdata.cc/) as an example to demonstrate the entire process from number preparation to exporting tg male numbers.
Step 1: Prepare numbers to be screened (generate or upload globally)
- Use Global Number Generator: Number generator for 240+ countries built into the console. If you want to target a certain country (for example, the United States +1), just select the number segment to generate. It is free to use.
- Upload your own numbers: Supports CSV, TXT and other formats, up to about 1 million at a time. It is recommended to first use the platform’s data deduplication warehouse to clean duplicate numbers to avoid repeated deductions.
Step 2: Create a screening task and check “Gender Detection”
- Log in to the console and enter the “Telegram Screen ID” module.
- Select the source of numbers to be screened (generate results or upload files).
- In the detection type, check Enable detection (required) and Gender detection (optional).
- If you want to detect activity at the same time, check Activity Detection and specify the window (such as 7 days).
- Before submitting the task, the system will display the estimated cost (billing by item, see the real-time price on the console for details).
- Submit after confirmation, the task will run automatically, and notifications can be received through the Telegram robot after completion.
Step 3: View the results and export CSV/TXT
After the task is completed, click “View Results” in the task list. You can check the required fields in the export column settings, including:
- number
- Activation status (true/false)
- Gender (male/female/unknown)
- Age range
- active tags -tgid
Filter out records for 开通=true and 性别=male, then click “Export” and select CSV or TXT format. At this point you have obtained a high-quality tg male numbers list.
How important is activity detection when screening tg male numbers?
After getting a male number, if the other person has not logged into Telegram for a long time, the effect of sending messages will be greatly reduced. Therefore, it is recommended to use Gender Detection + Activity Detection in combination.
Activity recommendations
Recommended strategy: Set the filter condition to Gender=Male + Activity window=7 days (or 30 days). The number obtained in this way has both gender-targeting value and recent activity guarantee. When using this kind of list for private messages or group invitations, the response rate is usually 2 to 3 times higher than pure gender screening.
KK-DATA’s activity detection supports custom windows (such as 7 days, 14 days, 30 days), and you can flexibly choose according to the promotion timeliness. If the product requires immediate feedback, choose 7 days; if the marketing cycle is longer, choose 30 days to obtain a larger sample size.
What should you pay attention to when searching for “tg male number” on Google/Bing?
Many overseas practitioners will directly search for keywords such as “TG male number purchase” and “TG male number range” on Google or Bing. Special reminder here:
- Beware of the “pure male number segment package” scam: Telegram registration number segments are not allocated by gender, so there is no “all-male mobile phone number segment”. Any supplier that claims to sell “pure male numbers” is either providing random numbers or using false green test results to defraud money.
- The real solution is to “screen” rather than “buy”: Only by conducting gender testing on numbers one by one through a screening platform (such as KK-DATA) can the quality of the results be ensured. Although it requires a certain amount of balance, it is far more cost-effective than buying fake data.
- Identify official channels: KK-DATA’s only customer service Telegram is @kkdata_robot and robot @kkdata_robot. Other accounts claiming to be customer service are all fake.
tg male number and tg female number: What are the differences at the data level?
Understanding the behavioral differences between male and female users can help formulate more accurate customer acquisition strategies. Here are some common observations (not absolute, vary from country to country):
| Dimensions | tg male number group | tg female number group |
|---|---|---|
| Activity distribution | Highly active in technology/cryptocurrency groups, usually with a 7-day activity rate > 60% | Highly active in beauty and social groups, but the overall activity rate is slightly lower than that of men |
| Group preferences | Follow investment and financing, airdrops, games, technology news | Follow shopping, lifestyle, skin care, pets |
| Reply rate | Higher reply rate for financial/tool promotions | More inclined to passively consume content, private message reply rate may be slightly lower |
Is the activity distribution of male and female users the same?
Not exactly the same. Therefore, if you are targeting the male market, it is recommended to set a stricter window for activity (such as 7 days) based on gender screening to ensure the immediate accessibility of the list; if you are targeting the female market, you can appropriately relax it to 30 days.
How to screen male + female numbers at the same time for A/B testing?
In the KK-DATA console you can:
- First filter out the numbers with male gender and export them into a file.
- Then filter out the numbers whose gender is female and export them to another file.
- Implement different marketing copywriting for the two groups of numbers and compare the conversion effects.
Utilizing the platform’s data deduplication warehouse can ensure that there are no duplicate numbers in two tasks and avoid waste.
Frequently Asked Questions (FAQ)
**Q: How accurate is the gender detection of tg male numbers? **
A: Gender detection is based on algorithmic analysis (avatar, nickname, behavior, etc.) and is not 100% accurate. In large samples, male identification accuracy is usually between 70% and 85% (depending on the environment). It is recommended not to rely solely on a single field, but to combine cross-validation with age, activity, etc.
**Q: How much balance is required to screen tg male numbers? **
Answer: Fees are deducted on a per-item basis. For specific prices, please see the real-time price on the console (https://app.kkdata.cc/). Recharge supports USDT (TRC20), no subscription package, pay as you use.
**Q: Can I filter only recently active TG male numbers? **
Answer: Yes. Check “Active Detection” in the screening task and specify the active window (such as 7 days, 30 days), and then superimpose gender detection to get the active male result.
**Q: How many TG male numbers can be screened at one time? **
Answer: A single task supports about 1 million numbers. It is recommended to operate in batches according to actual needs, and use the platform’s data deduplication warehouse to avoid repeated deductions.
**Q: What fields does the export result include? **
Answer: Typical fields include: number, activation status, active label, gender, age range, tgid, etc. Specific columns can be customized and checked in the export settings, see the console for details.
If you want to start screening your first batch of tg male numbers immediately, please log in to the console to operate, or contact two-way customer service for help.
👉 Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot View more usage documentation: https://docs.kkdata.cc/ Official website homepage: https://kkdata.cc/
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