A complete guide to obtaining TG male data in the United States: How to superimpose active screening and build an accurate stratified list

If you are overseas marketing or cross-border e-commerce operation, you will definitely encounter a common problem when looking for high-quality private message leads in the US market: get a bunch of US numbers, but don’t know which ones are really active male users. Traditional indiscriminate mass messaging is not only inefficient, but can also easily reach the red line of blocking and control.

The correct way to obtain US TG male data is not to buy a bunch of random numbers, but to build a hierarchical list through a combination of gender detection + activity filtering. This article will break down step by step how to use the KK-DATA platform to complete this task, from field definitions, combination logic to practical processes.

---

What is US TG male data? What core fields does it contain?

The so-called US tg male data refers to filtering out accounts with the gender field marked “male” from the US number pool through Telegram protocol layer detection, and comes with additional fields such as the account’s registration status, active time window, age (estimated value), etc. These data come from imprecise guesses from users’ public information and are not ID-level real-name information.

In the TG screen number results of KK-DATA, the core fields related to “male” include:

Field name	Description	Data type
Gender	Inferred based on user profile, may be male / female / null	String
Age	Estimated based on data, approximate value (such as 30±5)	Integer
Registration status	Whether the number is connected to Telegram (connected + valid)	Boolean
Last online time	The time since the last time online within the active window (days)	Integer
tgid	User unique identifier (can be exported for subsequent operations)	String

---

Why should active screening be superimposed on the US TG male data?

If you simply filter the “male” field, you will get a list of all American male numbers registered with Telegram, which may include a large number of “zombie accounts” that have not logged in for months or even a year. Sending private messages or joining groups to these numbers will not only result in no response, but may also trigger the platform’s anti-spam mechanism due to batch operations.

The actual value of activity filtering for overseas customer acquisition

• Improve reach rate: Active users who have online behavior within the specified time window (such as 7 days, 30 days) are more likely to see and reply to your messages.
• Reduce the risk of account ban: If a large number of inactive numbers are sent in bulk, an unbalanced proportion can easily be considered as “spam bombing”. Priority is given to active users and the frequency is controllable.
• Increase ROI: Private message promotion, community operation, tool app new users, the core of conversion comes from active people. A list of 10,000 active men may be more effective than a 100,000 unscreened list.

Typical application scenarios of hierarchical lists

For example: You want to promote a productivity tool to American male active users around 30 years old. You can layer like this:

1. First level: tg activation + gender is male → about 100,000 items
2. Second layer: Superimposed TG is active (specified to be online within 30 days) → about 20,000 items remain
3. Third level: Then filter those around 25-35 years old based on the age field → Finally, there will be about 8,000 high-quality target lists

In the hierarchical list constructed in this way, each number has a high probability of being the “real and active” group of people you are looking for.

---

How to obtain US TG male data? Step-by-step practical process

Below are the complete steps to obtain US TG male data from scratch using the KK-DATA platform and overlay active screening.

Step 1: Prepare a list of US TG numbers to be screened

You can get a US number in two ways:

• Global number generation (free): Select “Global number generation” in the console, select the United States (US) as the country, select the number segment as needed (such as randomly generated / generated according to the number segment range), and export CSV after the generation is completed. This process is completely free.
• Custom CSV Import: If you already have your own number list (such as collected or purchased from other channels), just upload the CSV file directly in the console. Batch import is supported, and the platform will automatically identify column headers.

The generated or imported numbers are directly entered into the “Tasks to be screened” list.

Step 2: Submit Telegram gender + active combination screening task

1. Log in to KK-DATA Application Console and click “New Task”.
2. Select the detection platform as Telegram.
3. In the detection type, check the following three items at the same time:
   • tg activation: Verify whether the number is registered with Telegram (basic test required).
   • tg Gender: Get gender, age and other fields.
   • tg active: Select the active window (such as 7 days, 30 days, custom days).
4. Click “Submit Task”. The system will display the estimated fee (submit only if the balance is sufficient).
5. Wait for the task to complete. After completion, you can choose to receive Telegram notifications (bind bot).

Step 3: Export hierarchical data and remove duplicates

After the task is completed, enter the task details page and click “Export Results”. Select CSV or TXT format and a file containing the following fields will be downloaded:

Number	Registration status	Gender	Age	Last online
+1xxxxxxxxxx	Open	male	30	5 days ago
+1xxxxxxxxxx	Open	female	null	12 days ago
+1xxxxxxxxxx	Not activated	null	null	null

Deduplication operation: If some numbers have been detected in previous tasks, you can use KK-DATA’s “Data Deduplication Warehouse” function (located on the left menu of the console) to upload the number list exported this time. The system will mark the numbers that have been detected to avoid wasting balances by repeated submissions.

Then you can filter by “gender = male” and “active days ≤ 30” in Excel or text tools to get the target list.

---

Field interpretation and precautions for US TG male data

Make sure you understand the meaning of each field correctly to avoid misuse:

• Gender field: There are only two cases: “male” and “female” (null means unrecognized). Just filter directly when filtering. Note: The accuracy of gender recognition depends on the completeness of the user’s public information and is not 100%.
• Activity field: records the “recent number of days since an identifiable online behavior.” For example, “5 days ago” means that the last verifiable online behavior occurred 5 days ago. For users outside the active window (the number of days you specify), the active field value is empty or greater than the window value.
• Age field: It belongs to the same “tg gender” test result as gender. It is a guessed integer approximation and cannot be accurate to single digits. For example, 30 years old may represent the 25–35 age range. Do not use it as an ID card age.

---

How to determine whether the US TG active data is valid? Comparison of key indicators

Not all numbers that show “Open” are suitable for sending messages. We need to combine multiple detection types to judge effectiveness.

Detection type	Output indicators	Meaning	Whether it is suitable for private messages
tg activation	registered/unregistered	whether the number is registered Telegram	basic premise
tg active	Recent online days/active within window	Whether there has been online behavior recently	Strongly recommended
tg gender	male/female/null	gender inferred from data	used for targeting

Best combination strategy:

1. First do tg activation to filter out the real registration number.
2. Do tg active again and select “Active within 30 days” or “Active within 7 days” for further compression.
3. Add tg gender to target men.

In KK-DATA, you can check these three items at the same time in one submission, all in one step. Fees are deducted on a per-item basis, see [Console Real-Time Price] (https://app.kkdata.cc/) for details.

---

Differences in customer acquisition strategies between American TG male numbers and female numbers

They are also active users. There are big differences in the behavioral preferences of male and female TG users in the United States:

Dimensions	Male users	Female users
Preferred content	Productivity tools, games, finance, technology information, cryptocurrency	Social networking, lifestyle beauty, e-commerce discounts, parent-child education
Communication style	Simple and direct, low sensitivity to “benefits” and “discounts”	Prefer interaction and emotional connection, high trust in recommendations
Best reach time	Weekday evenings (Eastern/Western United States)	Weekends and afternoon hours
Hierarchical suggestions	Prioritize “moderately active” users who have been online within 30 days, and the effect of sending tool messages is good	You can try low-frequency private messages + group invitations, and the content is more life-oriented

The above is only a general reference and needs to be adjusted based on your product attributes and test data.

---

Frequently Asked Questions (FAQ)

**Q: Is the “Age” field in the US TG male data accurate? Can it be used to accurately target 30-year-olds? **

Answer: This age field is an estimate based on public information of Telegram users, and is not ID card-level accuracy. It can be used as a reference but is not recommended to be relied upon completely. It is recommended to perform hierarchical filtering in combination with active fields, such as the “24-36 years old” range to replace the precise 30 years old.

**Q: How is the US TG activity data defined? How long does it take to be considered “active”? **

Answer: Activity detection means that users have verifiable online behaviors (sending messages, going online, etc.) within a certain time window (such as 7 days, 30 days). You can specify the active window in the console, and the platform determines it based on the Telegram protocol characteristics. The shorter the window, the more “real-time” the filtered users are.

**Q: When using KK-DATA to screen American TG male data, do I need to recharge a large amount of balance at one time? **

Answer: No need. The platform uses per-item billing and no subscription packages. The minimum recharge is about 50 USDT. The estimated cost will be displayed before each task submission. If the balance is sufficient, it can be executed. It is valid for a long time after recharging and can be kept if it is not used up.

**Q: After exporting the American TG male number, can it be directly used for private message marketing? **

A: Yes, but you must comply with Telegram platform rules and local privacy regulations. It is recommended to prioritize active tg users and pay attention to frequency control to avoid being reported and banned. KK-DATA does not provide shipping services, please choose appropriate marketing tools by yourself.

**Q: What is the difference between US TG male data and global number range? Are the fees the same? **

Answer: The US TG male data is based on global numbers, with the added function of “gender detection”. The fees are totaled according to different detection types. For specific unit prices, please refer to [Console Real-time Price] (https://app.kkdata.cc/). The global number segment is generated for free, and the fee will be deducted only for testing.

---

Now you have mastered the method of obtaining US tg male data and overlaying active screening. Experience the one-stop screening process now and build your precise tiered list:

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Official website: https://kkdata.cc/ Usage documentation: https://docs.kkdata.cc/