A complete guide to obtaining TG male data in the United States: screening, activity detection and customer acquisition export guide

Accurately reaching target users is the core problem of overseas marketing. If you are promoting products to the US market and want to use Telegram as a reach channel, then US TG Male Data is a key resource that you cannot avoid. It is not just a list of numbers, but structured data that includes activation status, activity, gender and even age fields. It can help you quickly locate “active American male users” from a large number of numbers, thereby improving the private message response rate and conversion effect.

This article will completely dismantle the entire process of obtaining American TG male data, from number generation to multi-dimensional detection, to marketing actions after data export. It also comes with an index of special articles to help you build your own customer acquisition data pipeline.

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What is US TG male data? Why is it needed to acquire customers overseas?

American TG male data refers to a collection of numbers that have been detected by the Telegram platform and marked as “opened (registered with Telegram)”, “active (recent online behavior)” and whose gender field is “male”. These data are usually accompanied by auxiliary information such as user ID (TGID), avatar, age, etc., for more precise group segmentation.

Compared with traditional number lists, the core value of American TG male data is:

• Remove non-Telegram users: Directly filter out numbers that are not registered with Telegram to avoid invalid outbound calls.
• Lock active users: Select users who are most likely to respond to private messages through activity windows (such as the last 7 days, the last 30 days).
• Gender Targeting: Screen male users to avoid sending marketing information to female or irrelevant users to improve reach accuracy.
• Aging Stratification: Some gender data contains an age field (such as “about 30 years old”), which can be used to design words for specific age groups.

For cross-border e-commerce, overseas community operations, and independent website promotion teams, blind mass messaging using general number segments has gradually become ineffective, and American tg male data based on screening can significantly reduce the risk of account suspension and increase ROI.

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How to filter out TG male data from the US number pool?

The entire process is divided into three stages: number generation → batch detection → deduplication and export. Let’s break it down one by one.

Step 1: Generate or import a US number

You need a pool of numbers. Two ways to get a US (+1) number:

1. Use global number generation function Select the country “United States” in the console, and the system will randomly generate a specified number of numbers (format: +1 XXX XXX XXXX). Generation is completely free, only subsequent testing will be deducted.
2. Import your own number If you already have a target number (such as collected from exhibitions, website registrations, etc.), you can upload it through a CSV file. Supports the import of custom number segments, suitable for targeted coverage of specific cities or regions.

Note when generating: It is recommended that the number of numbers be controlled within the upper limit of a single task (about 1 million). If the number exceeds one million, it is more efficient to submit in batches.

Step 2: Batch detection of activation and activity

After the number is ready, enter the screening task configuration. It is recommended to operate in the following order to avoid waste:

1. Run TG activation test first Check whether each number is registered with Telegram. This step is the most basic and can quickly eliminate more than 80% of invalid numbers. The lowest price for opening the test.
2. Re-screen activity Based on the activated number, select “Active” detection and specify the time window (such as “Active in the past 7 days” or “Active in the past 30 days”). The cost of activity detection is slightly higher than that of activation detection, but only the activated numbers are deducted, so the overall cost is controllable.
3. Final gender detection Perform gender detection based on active numbers. Gender detection returns gender (male/female/unknown) and some age fields. The number obtained at this time already has the attributes of “USA + TG activated + active + male”.

Note: Each test is billed independently and you can combine it as needed. For example, if you only do activation + gender without activity, you can still get “American TG male data”, but the activity field is empty.

Step 3: Extract gender data and de-export it

After the detection is completed, filter the numbers whose gender field is “male” on the console results page. Exported fields usually include: number, TGID, activation status, activity, gender, age (if present), etc. Support CSV, TXT format.

At the same time, the data deduplication warehouse function is used: the numbers filtered out this time are stored in the warehouse. The next time the same number is used again, the system automatically skips duplicate detection and saves the balance. This is very useful for continuing to operate the same group of users in the future.

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Interpret the activity and gender fields in the US TG male data

Not all platforms provide the same depth of information regarding activity windows and gender fields in filter results. Only by understanding their meaning and boundaries can you use the data correctly.

How does the activity window affect your reach?

The activity window provides you with a reference to “how recently the user has been online.” Common options include:

Activity window	Meaning	Applicable scenarios
Active in the past 7 days	Telegram has been opened in the past 7 days	Suitable for promotions, limited-time activities, and real-time interaction
Active in the past 30 days	Active within the past 30 days	Suitable for regular social networking and light contact
Overall active	Recently active (no specific time)	Suitable for survey questionnaires and long-term maintenance users

Best Practice: For US TG male data, it is recommended to first test the active window of the past 7 days with a small batch to observe the response rate. If the effect is good, expand it. If the number of active numbers in the past 7 days is insufficient, the next best option is to use the number in the past 30 days. Don’t use “all active” directly, because it may include users who haven’t logged in for months, and the response rate will be very low.

What can the age field do in gender data?

The “age” field is included in the gender return. Please note: This age is not the exact age at the ID level, but the age information in the Telegram user’s public profile or the result of the algorithm’s inference based on avatars, profiles, etc. It can be used for rough population stratification, such as screening “American men aged 25–35” as the target audience, but it cannot be used to confirm the user’s age one-to-one.

When using the age field, it is recommended to use it as a secondary dimension rather than as a core filter. For example, you can export three lists of “men under 25 years old”, “men between 25-40 years old” and “men over 40 years old” respectively, design different openings respectively, and test which group has the highest conversions.

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3 typical application scenarios of American TG male data in overseas marketing

Scenario 1: Accurate new recruitment through the community

Goal: To attract high-quality male users to a certain American vertical category Discord or Telegram group.

Operation:

1. Filter conditions: Country = United States, Platform = Telegram, Activation = Yes, Activity = Last 7 days, Gender = Male.
2. Export number (including TGID).
3. Use private messaging tools (such as self-research or third-party) to send invitation links to these users. Reference words: “Hi, we are doing research in the field of XX and invite you to join our private community. You can get small gifts by participating in the discussion.”

Data Points: Only active American men are invited to avoid a large number of zombie accounts in the group or complaints from female users.

Scenario 2: Product research questionnaire delivery

Goal: Collect feedback from American male users on a new product.

Operation:

1. Filtering conditions: Same as above, but the activity level can be relaxed to the last 30 days to expand the sample size.
2. After exporting, use a tool to send it in bulk, with a short questionnaire link (such as Google Form or Typeform).
3. Depending on the age field, different versions of the questionnaire can be sent to different age groups.

Data Points: When conducting research, pay attention to the sincerity of your speech, do not cause resentment, and promise to keep the results confidential.

Scenario 3: Cold Start Lottery

Goal: To attract traffic for new products online and attract users to visit the landing page through Telegram private messages.

Operation:

1. Filter conditions: United States, Telegram activated, active in the past 7 days, male gender.
2. Send a private message containing the lucky draw link: “Congratulations on being selected as a lucky user, click to participate in the lucky draw and have a chance to get XXX for free.”
3. The landing page must comply with US market practices and have clear privacy terms.

Data Points: The sweepstakes is legal and compliant to avoid being marked as spam. Using “active in the past 7 days” when filtering can greatly increase the open rate.

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Common mistakes and best practices for screening US TG male data

In practical applications, many teams will step into pitfalls. The following lists high-frequency errors and pitfall avoidance plans.

Error	Consequences	Solution
Directly send to groups without looking at activity	The reply rate is extremely low, which is a waste of balance	Activity detection must be added when filtering
Ignore deduplication and duplicate detection	The balance is invalidly consumed	Store the data in the data deduplication warehouse after each export
Import a large number of numbers at one time but do not detect them in batches	The task times out or fails	A single task does not exceed 1 million, and the large pool is divided into batches
Not understanding the ambiguity of the age field	Wrong inference of the user’s true age	Only used for population stratification, not for one-to-one tagging
Expand the scale without testing	The number of active accounts in a certain window is small, resulting in high costs	First use 500 tests to find the optimal active window
Use unfiltered general account segments for precision marketing	The risk of account suspension is high and the conversion rate is low	Must go through the three-step screening of activation + activity + gender

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From data to order: How to make the filtered US TG male numbers work?

Getting clean data is just the first step. To actually convert these American TG male numbers into customers, you need a complete reach and conversion process.

1. Import private message tool Import the exported CSV file (containing numbers and optional TGID) into software or API that supports batch private messages. Note that the tool must support the Telegram protocol, and the sending frequency must be reasonable (for example, no more than 50 messages per number per day) to avoid triggering risk control.

2. Combined with conversational templates to reach people in different time periods The active hours of US users are usually 9:00–11:00 and 20:00–22:00 local time. Timing sending can be set. The speech template should be personalized, such as including the city where the user is located (if it can be inferred from the number range) or age group, to avoid being the same.

3. Cooperate with the landing page for conversion tracking Each private message comes with a unique tracking link (such as UTM parameters), which is used to count click-through rates, registration rates, and conversion rates. Use A/B testing to compare the conversion differences brought about by different words or filtering conditions, and gradually optimize the data filtering logic.

4. Feedback Loop Optimization Data Mark the TGIDs of users with high actual response rates and good conversions as “high value”, and prioritize them the next time you encounter the same users. At the same time, the common characteristics of these users (such as activity window, age) can be reversely analyzed and used as a reference for the next screening.

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Special article index: More internal link navigation about US Telegram data

In order to help you more systematically master the customer acquisition techniques related to American TG, the following articles can help you read in depth as needed:

• How to improve the pass rate of TG private messages? Avoid 5 common account ban traps
• US number generation tutorial: Free generation of +1 number segments and import of screen numbers
• Is Telegram activity detection accurate? 3 comparative testing methods
• Double the conversion rate of private messages: Cleverly use the age field to stratify the population
• Multi-platform screening process: Methods to detect TG, WhatsApp, and Line at the same time
• Data Deduplication Warehouse: How to avoid repeated deductions and repeated access to users

The above blog articles can be viewed in KK-DATA official blog, which will be continuously updated with practical information on acquiring customers overseas.

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FAQ

**Q: Can KK-DATA screen out accurate American TG male users? ** Answer: Yes. The platform supports activation detection, activity identification and gender data extraction. The gender data comes from the gender field in the marked results, which can be used to filter “male” users; the age field can be used to interpret people around 30 years old, but it is not ID-level accurate data and is suitable for crowd stratification rather than one-to-one confirmation.

**Q: How much does it cost to detect a US number? ** Answer: The specific fees vary according to the detection platform (Telegram/WhatsApp, etc.) and detection type (activated/active/gender), and are billed on a per-item basis. Before submitting the task, the console will display the estimated cost, and the final fee will be deducted based on the actual completion amount. See the real-time price on the console for details.

**Q: How many US numbers can be screened at a time? ** Answer: The maximum number for a single task is about 1 million. If the number is larger, it is recommended to submit it in batches. The platform provides the number generation function for free, and charges will be deducted based on the actual number of detected items.

**Q: What format does the filtered data support? ** Answer: Supports exporting in CSV, TXT and other formats. The exported fields include number, TGID, activation status, activity, gender, age (part), etc. The details are subject to the console export interface.

**Q: I don’t have a technical team, can I use KK-DATA smoothly? ** Answer: Yes. The platform provides a visual console without programming. After registration, you can create “Generate Numbers” and “Filter Numbers” tasks in the application console, with detailed documentation guidance. If you encounter problems, you can get real-time help through two-way contact with the customer service Telegram robot.

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👉 Log in to the console to start screening numbers Two-way contact customer service:https://t.me/kkdata_robot Documentation and latest guidance: https://docs.kkdata.cc/