Detailed explanation of the US tg male data result fields: How to read number status, activity, gender and tgID? ——KK-DATA Practical Guide

Among overseas customers, US tg male data has become a popular filter item for teams such as cross-border e-commerce, financial apps, and game publishers. After batch detection of numbers through the Telegram screening platform, the number set of “US region + male + Telegram activation” is screened out, which can be used for private message promotion, community recruitment, and precision marketing. However, many users are confused by a bunch of fields after getting the results: Which are the core fields? How to interpret age and activity level? What is the use of exporting tgID?

This article takes the KK-DATA screening platform as an example to dismantle each result field of the American tg male data in detail, helping you understand each column of data, avoid misjudgments, and improve customer acquisition efficiency.

What is US TG male data? Why has it become a popular indicator for overseas customer acquisition?

“US TG male data” is not a definition out of thin air, but the filtering result obtained after multi-dimensional detection of the original number pool through screening technology. The specific process is: first prepare a batch of numbers in the US range (can be generated through global numbers or import your own numbers), and then submit the Telegram screening task to check whether the number has Telegram enabled, user active window, gender (male/female/unknown) and age range. In the final exported data, only records that match “activation + male + specified active window + United States region (judged by number segment or detection field)” are retained.

The reason why it is popular is very straightforward - Telegram user quality is higher than ordinary traffic, especially American male users, with impressive conversion rates in vertical fields such as financial investment, cryptocurrency, and male consumer goods (such as health supplements, fitness equipment). Accurately screening out this group of users can significantly reduce the cost of invalid private messages and group messages.

What are the core result fields of the US TG male data?

KK-DATA returns multiple fields in Telegram filter results, and each field has a clear business meaning. The following table lists the most common fields and descriptions:

Field Name	Meaning	Examples of Typical Values	Business Usage
Number	Original mobile phone number	+1201xxxxxxx	Unique identifier
Country/Region	Country or region to which the number belongs (based on number segment)	US / United States	Geographical targeting
tg activation	Whether to register Telegram	Activated / not activated	Basic filter conditions
tg active	Whether there is active behavior within the specified window	Active in the past 7 days / active in the past 30 days / inactive	Determine user stickiness
Last online time	Approximate time of the last online visit (if any)	2025-02-15 10:30 UTC	Assist in determining activity level
Gender	User gender identification results	Male / Female / Unknown	Gender orientation
Age	Age value estimated by the algorithm	28 or “30±5”	Age range filter
tgID	Telegram’s internal unique numeric ID	1234567890	Subsequent association operations or deduplication
Avatar URL	User’s public avatar link (conditionally provided)	https://…	Assist in judging user authenticity

Note: The specific fields are subject to the console export. Different detection types (such as only detecting activation vs. detecting active + gender) will return different field combinations.

Number status: activated or not activated

The most basic field is “tg activated”, which indicates whether the number has been registered with Telegram. Only “open” numbers are worthy of further screening. If you only perform simple batch verification of numbers and filter out unactivated numbers, you can save the cost of subsequent private messages. KK-DATA will clearly mark the status of each row after the task is completed, and you can directly filter out the “activated” data export.

Activity: active window and last online time

The “tg active” field lets you know whether the user has been online recently. KK-DATA supports specifying active windows, such as “near 7 days”, “near 30 days”, “near 3 months” or “unlimited”. Select a different window and the results will return an “active” or “inactive” flag. Additionally, some detection types also output an approximation of the “last online time” (accurate to the nearest day). For marketing activities that require real-time access (such as limited-time offers, live broadcast reminders), it is recommended to select male users who have been “active in the past 7 days”; for long-term brand cultivation, it can be relaxed to “the past 30 days”.

Gender and age fields: male identification and age interpretation

The gender field is the core basis for targeting men. KK-DATA performs algorithm inference based on Telegram’s public information (nickname, introduction, avatar, group information, etc.), and the results are divided into “male”, “female” and “unknown”. The accuracy of male identification is higher, but there are still a few misjudgments or missing items. In actual use, it is recommended to combine cross-validation with other fields (such as activity, avatar URL).

The age field is an algorithmic estimate, not an ID-level precise number. It can help you filter out people who are “about 30 years old” or “25 to 35 years old”, but it should not be used as the only criterion. For example, filtering “male + age 28~35 + active in the past 30 days” can target young adults with strong spending power.

Platform ID: tgID and UID export

tgID is a unique digital identification assigned to each account by Telegram, similar to an ID number. After exporting the tgID, you can: -Associate with the user ID in its own database to avoid repeated marketing.

• Direct use in the Telegram API (subject to Telegram Terms), e.g. sending messages to known tgIDs via bots.
• Cross-task deduplication: KK-DATA’s data deduplication warehouse supports automatic filtering of detected numbers by tgID to prevent repeated deductions.

However, please note: It is not recommended to send violent private messages or harass tgID. Telegram has a strict anti-spam mechanism, and illegal operations may result in the account being blocked.

How to use the gender field in the American Telegram male data for precise targeting?

After getting the “male” screening results, further refinement can significantly increase the conversion rate. Here are some best practices for field combinations:

• Male + Active in the past 7 days + US number: Suitable for promoting time-sensitive products, such as game internal testing and new currency launch notifications.
• Male + Age 25~35 + Active in the past 30 days: Suitable for e-commerce men’s products (sports equipment, personal care) or financial apps.
• Male + non-empty avatar + active in the past 7 days: If the avatar is not empty, it means that the user has a certain degree of authenticity and will be given priority.
• Male + last online in the last 3 days: used for emergency activities (such as live broadcasts with thousands of people, limited time discounts).

In actual operation, when submitting a task on the KK-DATA console, select “Telegram filter number → US number segment → Detection type: activation + active + gender + age”. After the task is completed, export the CSV. In Excel, first press “tg activation” = activation filter, then “gender” = male filter, and finally press “active” = active filter in the past 7 days to obtain a high-quality targeting list.

What is the difference between the result field of American tg male data and the result of ordinary number generation?

KK-DATA provides two modules: Global Number Generation and Telegram Screening Number. Many new users confuse the output of the two.

Comparative Dimensions	Global Number Generation	Telegram Screen Number (US TG Male Data)
Whether it really exists	The virtual number is only generated according to the number segment rules, and the registration is not verified	The real Telegram account has been tested and the result is authentic
Contains fields	Only basic information such as number, country, operator, etc.	Contains complete detection fields such as activation, activity, gender, age, tgID, etc.
Can it be used for marketing	No, because it has not been verified whether the other party is registered	Yes, real users who can be reached directly
Cost	Free generation	Deduction based on the number of tests, see the console real-time price for details

Conclusion: Number generation is only the first step in data preparation. The truly usable American TG male data comes from the screen number module. It is recommended to generate or import numbers for free first, and then submit the number screening task to obtain valid fields.

When using KK-DATA to obtain US tg male data, how to interpret the results and avoid common pitfalls?

Common misunderstandings

1. Age is not the ID card age: As emphasized before, age is an estimate and should not be used for precise age positioning, such as “30 years and 3 months”. It is recommended to use a range (such as “25~35 years old”) rather than a specific number.
2. Gender accuracy is not 100%: The male recognition rate is higher, but there are still a small number of females that are misidentified as males, or displayed as “unknown”. It can be verified through multi-dimensional auxiliary verification such as avatar and nickname.
3. Activity window needs to be selected reasonably: If you select “last 7 days”, you may miss users who only go online once a week. Weigh recall rate and timeliness based on business scenarios.
4. The number segment does not absolutely correspond to the country: US numbers may be resold by virtual operators, causing the user’s actual location to be outside the United States. But in most cases, the users of the US number segment are still mainly local residents.

Operation suggestions

• Before submitting the task, preview the estimated cost on the console to avoid insufficient balance.
• For large-scale tasks (such as 1 million items), it is recommended to submit them in batches, with no more than 500,000 items each time, to facilitate mid-stream adjustments.
• Use the data deduplication warehouse function to avoid waste caused by repeated detection of the same number.

Practical application scenarios of American TG male data in acquiring overseas customers

• Men’s products e-commerce: When sending private messages about new products or promotions to American Telegram male users, the conversion rate is significantly higher than that of the general population.
• Financial Apps (such as foreign exchange, cryptocurrency): Filter “male + active in the past 30 days + age 25~45”, and recruit new seed users as a community for one-to-one invitations.
• Game Publisher: Get the tgID of “male + active in the past 7 days” in a targeted manner, push the game download link through the bot, and guide you to join the official group.
• B2B SaaS Tool: Although it is mainly for enterprises, most of the decision-makers are men. After screening for “male + activation”, it can be combined with tools such as LinkedIn for further accuracy.

FAQ

**Q: Is the “age” field in the US TG male data accurate? Can it be used for precise age targeting? ** Answer: The age field is algorithmically estimated based on Telegram’s public information (avatar, nickname, birthday settings, etc.) and can assist in screening groups around 30 years old, but it is not 100% accurate. It is recommended to make a comprehensive judgment based on fields such as activity level and region, and should not be used as the only criterion.

**Q: What does “active” in the result field mean? How do you define “active users”? ** Answer: Activity detection analyzes indicators such as users’ recent online time and group activities. KK-DATA allows you to specify an active window (such as the last 7 days, the last 30 days), and the returned field shows whether the Telegram account corresponding to the number is active within the specified window. If the user is online or speaks at least once within this window, it is marked as “active”.

**Q: What is tgID? What is the use after exporting? ** Answer: tgID is a unique numeric ID assigned to each account by Telegram, which can be used for subsequent association with its own database, deduplication, or direct operation through bots in the Telegram API (subject to Telegram terms). It is not recommended to use it for private message harassment to avoid triggering the anti-spam mechanism.

**Q: What is the accuracy of the “Male” field in the KK-DATA filter number results? ** Answer: Male identification is based on Telegram users’ public gender settings or algorithm inference. The accuracy is high, but there are a few misjudgments or missing information (displayed as “unknown”). It is recommended to further filter by combining activity and avatar fields to improve the purity of the target population.

**Q: How many U.S. numbers can be processed in one number screening task? ** Answer: The maximum number for a single task is about 1 million. If more are needed, they can be submitted in batches. The specific unit price and quota are subject to the real-time price of the console, and the estimated cost will be displayed before submission.

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If you are looking for a screening tool to efficiently obtain US tg male data, you can directly log in to the KK-DATA console, generate a batch of US numbers for free, and then submit the Telegram screening task to experience the complete return of each field. There is no need to subscribe to a package for the entire process, billing is done on a per-item basis, and costs can be flexibly controlled.

👉Log in to the console to start screening numbers Two-way contact customer service robot: https://t.me/kkdata_robot For more operating instructions, please refer to KK-DATA Document or visit Official Home Page.