Guide to accurate screening of tg male numbers: Telegram gender detection and practical experience in acquiring customers overseas

#tg Guide to Precise Screening of Male Numbers: Telegram Gender Detection and Practice in Acquiring Customers Overseas

In overseas marketing, obtaining tg male numbers in batches is a key part of improving the conversion rate of private messages. Compared with unscreened generic accounts, precisely targeted Telegram male users can significantly reduce the harassment rate and increase the response rate. From technical principles to practical steps, this article explains how to use Telegram gender detection to efficiently obtain tg male number, and shares pitfall avoidance guidelines and implementation scenarios.

What is tg male number? Why is it worth investing in over Pan?

tg male number refers to the mobile phone number of a user who has registered on Telegram and whose gender is identified as male. In contrast, “pan-number” is a number pool that does not distinguish between gender, activity, or even registration. The gap between the two in marketing costs and effects is very obvious:

Comparison dimensions	Pan numbers (unfiltered)	tg male numbers (accurate filtering)
Registration rate	A large number of numbers are not registered with Telegram, wasting sending volume	100% registered, only reaching real users
Orientation accuracy	Unable to distinguish gender, push to women may be invalid	Specify men, suitable for products with a high proportion of men (games, finance, 3C)
Activity	It is impossible to know that the user has been active recently, and may be sent to a zombie account	Activity filtering can be superimposed to only reach users who have been online recently
Conversion cost	High: Large sending volume but few effective conversions	Low: Each sending has clear goals and higher ROI

The value of telgram gender screening is that you spend the same detection fee, but only invest in follow-up marketing efforts for high-potential users. For cross-border e-commerce and independent website promotion teams, accurate tg male number means lower risk of account suspension and higher private message reply rate.

KK-DATA’s tg male number detection logic: gender, age and activity

The KK-DATA platform analyzes Telegram users’ public data and behavioral models to output gender, age (valuation), activity and other information. Note: Gender recognition is not based on real name or ID card authentication, but is based on comprehensive inference of public features such as user avatar, nickname, group interaction, etc. The accuracy is high but cannot reach 100%.

Gender detection field description

In the filter results, the Gender field contains the following values:

• Male: The system determines that the user is a male
• Female: The system determines that the user is a female
• Unknown: Insufficient data to determine

Additionally, the “Age” field provides the approximate age group (e.g. 20~30 years old). For example, you often hear “TG’s 30-year-old data”, which means that the age field can filter out people around 30 years old, rather than document-level data that is accurate to specific birthdays. Do not use this for ID card level verification.

Combination filtering of activity and gender

KK-DATA supports simultaneous selection in the same task:

• Activation detection: Verify whether the number is registered with Telegram
• Gender recognition: Output male/female/unknown
• Activity Detection: You can specify windows such as “near 7 days”, “near 30 days”, and “near 90 days”

Used in combination, “tg male numbers active in the past 30 days” can be screened out, greatly improving the reach efficiency. For example, when recruiting new game products, only inviting male players who have been online recently can avoid harassing female users or losing their accounts.

How to use KK-DATA to efficiently obtain tg male number (step-by-step tutorial)

The following steps are based on the KK-DATA console https://app.kkdata.cc/ and can be reproduced according to the process.

Step 1: Prepare the number pool to be screened

You need to provide a batch of mobile phone numbers to be screened, which can be obtained in three ways:

1. Global Number Generation (Free): In the “Number Generation” module of the console, select the target country (covering 240+ countries/regions), set the quantity, and the system will automatically generate compliant numbers for free use.
2. Custom number segment CSV import: If you already have a target number segment (such as a specific operator prefix), you can upload a CSV file.
3. Own number list: Directly paste or upload existing number text.

Step 2: Create a Telegram screening task and configure gender screening

1. Log in to https://app.kkdata.cc/, click “Create Task” → “Telegram Screen”.
2. Upload the number file or paste the number list (up to about 1 million at a time).
3. Detection Type: At least check “Enable Detection” and “Gender Identification”. If you need activity, check “Activity Detection” and set the number of days (for example, 30 days).
4. Confirm the task parameters, and the system will display the estimated cost (see the real-time price on the console for details). If the balance is insufficient, you need to recharge USDT (TRC20) first, with a minimum of about 50 USDT.
5. Submit the task. After the task is completed (usually a few minutes to tens of minutes, depending on the amount of data), you will receive a Telegram notification (you need to bind the robot first https://t.me/kkdata_robot).

Step 3: Export tg male number data

After the task is completed, click “Export” on the “Task Details” page and select CSV or TXT format. Export fields typically contain:

-Mobile phone number

• tgid (Telegram internal ID)
• Gender (male/female/unknown)
• Age (approximately)
• Activity (recent online time)
• Registration time (if any)

You can use Excel or script to filter “male” in the gender column to get a pure tg male number list.

Common misunderstandings and pitfall avoidance guide when screening tg male numbers

Misunderstanding 1: Gender recognition accuracy is 100%

As mentioned above, gender recognition is based on public data models and is not 100% accurate. Don’t place your hopes on ID card-level accuracy. The best practice is to combine cross-validation with fields such as activity, age, and group participation, or use gender as an initial screening, and then further confirm through content interaction.

Misunderstanding 2: Thinking that data deduplication is unnecessary

If there is no deduplication mechanism, repeated submission of the same number will result in repeated deductions. KK-DATA has a built-in “data deduplication warehouse” that automatically identifies whether the number in this task has been detected (cross-task) to avoid wasting balance.

Misunderstanding 3: Believing in fake customer service

There are a large number of fraudulent accounts on the market pretending to be platforms. KK-DATA official customer service can only be contacted through the following channels:

• Two-way contact robot https://t.me/kkdata_robot
• Customer Service Telegram https://t.me/kkdata_robot
• Official channel https://t.me/kkdata_channel

Anyone who takes the initiative to message you privately asking to transfer money is a scammer. Please be sure to check the official address.

Misunderstanding 4: Ignoring the security of recharge

The platform only supports anonymous recharge of USDT (TRC20), with a minimum of about 50 USDT. The deposit will be automatically credited to your account. There is no need to provide personal bank information, which is suitable for overseas teams’ needs for financial privacy.

Manual screening vs platform tools: Which method is more suitable for tg men to acquire customers?

Compare dimensions	Manual verification (such as sending private messages one by one to test)	KK-DATA batch screening number
Time-consuming	Only dozens to hundreds can be verified every day	Tens of thousands to millions of items can be completed in a few minutes
Cost	The time cost is high, and sending private messages has the risk of account suspension	Billing by item, only charges for successful detection, no package
Data dimensions	You can only know whether there is a reply, and cannot obtain gender/age in advance	One task can obtain multi-dimensional data such as activation, gender, activity, age, etc.
Privacy compliance	Unsolicited messages may violate Telegram policy	Only detect public information and do not actively disturb users
Suitable scenarios	Small-scale precise contact (less than 1,000 people)	Pre-screening of people before large-scale advertising

For overseas customer acquisition teams, it is recommended to batch screen numbers as a “cleaning” step to eliminate invalid and low-value numbers, and then send private messages or advertisements to the filtered valid tg male numbers, which is far more efficient than manual work.

Practical application scenarios of tg male numbers in overseas marketing

1. Cross-border e-commerce male users private message promotion Selling electronic products, men’s clothing, fitness supplements, etc., directly send discount information to the selected tg male numbers, and the conversion rate is much higher than that of mass messaging.

2. Telegram community targeted invitation Invite male users to join target groups (such as gaming communities, financial investment groups) to avoid a decrease in activity caused by an imbalance in the ratio of men to women in the group.

3. Gaming/Financial Apps to attract new users These products naturally focus on male users. Potential users are obtained through batch screening, and then imported through advertising or private messages, which significantly reduces the cost of customer acquisition.

4. B2B cross-border procurement customer development In some industries (such as mechanical parts), the main decision-makers are men. Using tg Gender Screening combined with regional and national screening numbers can accurately locate overseas purchasers.

FAQ

**Q: How accurate is the tg male number? Is it a waste of money to pay for testing? ** Answer: The accuracy of gender detection is relatively high, but it is not 100%. Before the screening task is submitted, the console will display the estimated cost, and the platform provides a “data deduplication warehouse” to avoid repeated deductions, which is much more cost-effective than manual verification one by one. You can evaluate accuracy first by testing in small batches.

**Q: Do I need to provide the other party’s mobile phone number to detect TG male numbers? Is it compliant? ** Answer: You are required to provide the mobile phone number to be screened. The platform only detects whether the number is registered with Telegram and returns public-level data (such as gender, activity). It is recommended to only test number pools that you own or obtain in compliance with regulations, and comply with local data privacy regulations (such as GDPR).

**Q: Can I filter “tg male” and “active in the past 30 days” at the same time? ** Answer: Yes. In the Telegram screening task, you can check the three detection types of “Activation Detection”, “Activity (Activity Window Can Be Specified)” and “Gender Identification” at the same time, and the filtering conditions can be superimposed and combined. For example: gender=male + active window=30 days.

**Q: What export fields are included in the filtered tg male numbers? ** Answer: It usually includes fields such as mobile phone number, tgid, gender, age (approximate value), activity level, registration time, etc. The details are subject to the field list when exported by the console.

**Q: Does tg male number screening support global countries? ** Answer: Supported. The platform provides code segment generation and screening services for 240+ countries/regions around the world. You need to select the corresponding country code segment creation task based on the target market. For example, focusing on the Southeast Asian market, you can filter numbers from Vietnam, Thailand and other countries.

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**Precise screening, starting from the first step. ** 👉 Log in to the console to start filtering Two-way contact customer service https://t.me/kkdata_robot View full document https://docs.kkdata.cc/ Visit the official website https://kkdata.cc/