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A complete guide to obtaining TG data in the United States: activation, activity, gender screening and internal link navigation

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A complete guide to obtaining TG data in the United States: Telegram activation, activity, gender screening and internal link navigation

In cross-border community operations and overseas customer acquisition, US TG data (i.e., the numbers and attributes of Telegram users in the United States) is the core resource for reaching high-quality overseas users. Whether it is private message promotion, community fission or brand exposure, having accurate activation status, activity, gender and other information can significantly improve marketing efficiency and reduce costs. This article will systematically introduce the method of obtaining US Telegram data, from number generation to multi-dimensional filtering, and summarize the practical processes and best practices on the KK-DATA platform to help you master the efficient use of US Telegram data in one stop.

What is US TG data? Why is it needed for overseas marketing?

US TG data refers to a collection of data collected from Telegram users in the United States (country code +1), which usually includes the mobile phone number itself and the activation status (whether registered for Telegram or not), activity (recent online time), gender, age, avatar link and tgid and other fields obtained through detection. The value of these data for overseas marketing is reflected in:

  • Precise Reach: The United States is one of the markets with the fastest growing Telegram users, especially in the cryptocurrency and technology communities. Using accurate US TG data, you can avoid sending messages to unregistered or long-term inactive numbers and reduce resource waste.
  • Improve conversion rate: Combined with activity and gender screening, it can target “living” users with clear social behaviors and increase the private message arrival rate and reply rate.
  • Controllable Cost: Under the pay-as-you-go billing model, you only pay for valid data to avoid the cost risks caused by invalid group sending.

How to obtain high-quality US TG data? ——From generation to screening

The complete process of obtaining U.S. TG data can be summarized in three steps: Number generation → Screen number detection → Export results. The KK-DATA platform provides dedicated tool modules to make this process seamless in the console.

US number generation: country/region selection and number segment import

Before you start filtering numbers, you need to have a list of U.S. mobile phone numbers. KK-DATA provides two ways to generate US numbers:

  1. Random global number generation: Select the country “United States” (United States) in the “Number Generation” module of the console, and the system will automatically generate a random number that matches the United States number range. The feature covers 240+ countries and regions and is completely free to generate.
  2. Custom number segment import: If you already have a specific number segment (such as an area code segment), you can prepare a CSV file (one number or number segment range per line) and upload it through the “Import” function. The system will automatically parse and add it to the generated list.

Number generation tips

The generation operation does not consume your account balance, and you can try to generate US number segments without limit until you obtain a satisfactory number pool. The generated numbers will be saved in the “Number List” for subsequent filtering. For details, see Usage Documentation.

Core steps for US TG screening: activation, activity, gender fields

After obtaining the number, the next step is to conduct the core screening test. When submitting a screening task in the KK-DATA console, you need to select the detection type:

  • Telegram activation: Check whether the number has been registered with Telegram. This is basic screening to eliminate unregistered numbers.
  • Telegram Active: Further determine whether the user has been active recently. You can set an “active window” such as the past 7 days, 30 days, or a custom time period. Only numbers that are active as “Yes” represent real reachable users.
  • Telegram Gender: Detect the user’s gender (male/female/unknown), along with fields such as age, avatar, etc. The age field reflects the numerical range filled in by the user or inferred by the platform, and can be used for crowd targeting.

Before submitting the task, the console will display the estimated cost, and execution will begin after confirmation. A single task can handle up to about 1 million numbers. After the task is completed, the results can be exported in CSV or TXT format, with fields including number, activation status, activity, gender, age, tgid, etc.

Data deduplication warehouse: avoid duplicate detection and waste of balances

In actual operations, you may need to import different batches of data multiple times, or perform detection on the same number in different dimensions. KK-DATA’s built-in data deduplication warehouse will automatically compare historical detection records when submitting tasks, and numbers that have been detected will not be deducted again. This means that you can safely test the activation of the same batch of numbers first, and then test the activity and gender without worrying about repeated payments.

Activity filtering in US TG data: How to find “live” users?

Activity is a key indicator to measure the quality of TG users. Although a number has opened Telegram, if it is not online for several months or even a year, it is almost impossible for the private message to be read after being sent. KK-DATA’s “tg active” detection can distinguish the last time a user was online and help you remove inactive numbers through the active window.

Different uses of open detection vs active detection:

Detection typeApplicable scenariosExamples
Activate detectionFilter out all numbers that have been registered with Telegram, suitable for basic filtering before mass sendingTested 100,000 US numbers and found 60,000 registered and 40,000 unregistered
Activity detectionFurther screen out high-value users who have been online recently, suitable for private message marketing and community invitationsAmong the 60,000 registered numbers, only 30,000 active users in the past 30 days may be detected

Recommended practice: First perform activation testing, eliminate invalid numbers, and then perform activity testing on valid numbers. This can not only save costs (the unit price of opening a test is usually lower than active testing), but also obtain a high-quality marketing list.

Gender and age fields of US TG data: How to accurately target people around 30 years old?

Many overseas teams want to target specific genders or age groups for marketing, such as promoting cryptocurrency or tool products to male users aged 25–35. KK-DATA’s Telegram gender detection results, in addition to gender (male/female/unknown), also include the age field. This age value is derived from the information filled in by users in Telegram’s public profile or the platform’s inference based on behavioral algorithms, and is not the precise number on government ID documents. Usually expressed as an age value (such as 28, 32) or a range (such as 25-30).

**How ​​to target the “around 30” crowd? ** After exporting the results in the console, you can filter using the age field. For example, if you set a number between the ages of 25 and 35, you will refer to people “around 30 years old.” Combined with gender screening (such as men), accurate crowd packaging can be achieved. It should be noted that the accuracy of this age field falls within the industry’s normal level. It is recommended only as a reference for marketing targeting and is not suitable for scenarios that require high-precision age verification (such as financial credit, identity verification).

A note on age field accuracy

The age field in TG gender detection is derived from public information or behavioral predictions filled in by platform users. It is not official real-name data, and the accuracy is within the industry standard level. Recommended for marketing targeting reference without relying on absolute accuracy. For details, see Usage Documentation.

US TG data export format and field description

When the screening task is completed, you can download the result file in “Task Details”. Both CSV and TXT formats are supported, and it is recommended to select CSV for processing in Excel or data analysis tools.

Common export fields and their meanings (subject to the actual situation on the console):

FieldDescription
Number (phone)Mobile phone number (including country code)
tgidTelegram user’s unique identification number
Activation status (tg_registered)Yes/No
Activity (tg_active)If active is detected, output Yes/No
Last online time (last_seen)Timestamp of the most recent online appearance (activity detection output)
Gendermale/female/unknown
Age (age)Numeric value or range, such as 30, 25-35
Avatar link (avatar)User’s current Telegram avatar URL (if any)
Detection timeTask execution time

Important Tip: When the same number is tested multiple times with different attributes, the last result will overwrite some of the previous fields (such as gender, age), but the activation status and activity are stored independently. It is recommended to select the results of a task when exporting, or use data deduplication for warehouse integration.

US TG data best practices: from cost control to effect optimization

The following practical suggestions will help you maximize the use of US TG data while controlling your budget.

Try it now

Log in to the console now, generate 5,000 US numbers for free, and then perform an activation test to experience the complete “generate → filter → export” process. Before high-frequency use, it is recommended to test the cost and effectiveness of different detection types on a small scale.

Cost optimization strategy: Prioritize testing of low-cost fields, and then supplementary testing of high-priced fields.

The unit prices for different detection types are different (see real-time prices on the console for details). Usually, the unit price for opening a test is the lowest, and the unit price for activity testing and gender testing is higher. A reasonable strategy is:

  1. Check activation first: Filter out all registered Telegram numbers from the number pool and eliminate invalid data.
  2. Re-detect activity: Perform activity detection on the activated number, and only retain the “live” users who have been active in the last 7/30 days.
  3. Last detection of gender/age: If you need to target gender or age, then perform gender detection on the active number. In this way, you only pay high-priced detection fees for truly valuable numbers and avoid wasted efforts on a large number of invalid numbers.

Task notification and balance management

  • Set Notifications: Bind your Telegram account in the “Notification Settings” of the console, and you will receive real-time notifications after the task is completed to facilitate timely processing of results.
  • Balance Monitoring: Before submitting the task, the console will display the estimated cost. If the balance is insufficient, you will not be able to submit new tasks, and you need to recharge USDT (TRC20) with a minimum of about 50 USDT. The balance is automatically updated after recharging, no need to subscribe to a package.

Frequently Asked Questions about US TG Data

Question: What fields can be obtained from US TG data?

Answer: Through KK-DATA’s Telegram filter function, you can get the number’s activation status (registered/unregistered), activity (recent online time), gender (male/female/unknown), age (numeric range), avatar link, tgid, etc. The specific fields are subject to the console export results.

Question: How to filter out active Telegram users in the United States?

Answer: First use the global number generation function to generate or import the US number segment, then submit the “tg active” detection task, and you can set the active window (such as the past 7 days). After the task is completed, just export the number whose activity is “Yes”.

Question: Is the age field in TG gender detection accurate? Can it be used as an ID card?

Answer: This age field is based on information filled in by platform users or algorithm inference. It is a common level in the industry and is not official real-name authentication data. It is recommended as a reference indicator for marketing crowd targeting and should not be used in scenarios that require high-precision age verification.

Question: How is the US TG data screening number billed? Are there any subscription packages?

Answer: The platform does not have a subscription package and adopts a pay-per-item model. After recharging the USDT balance, the fee will be deducted from the balance after each number screening task is completed. The unit prices for different detection types (activation/active/gender) are different. Please check the real-time price of the console for specific prices.

Question: I already have a large number of US mobile phone numbers. Can I directly upload them for screening?

Answer: Yes. In the Number List module of the console, submit the task by importing a CSV or TXT file (one number per line) and selecting the target platform and detection type. The system will automatically deduplicate data to avoid repeated deductions for the same number.

This article serves as the internal link hub for the US TG data topic, bringing together core operational guidelines and best practices. If you want to learn more about other platforms (such as US WhatsApp data screening, global Telegram data acquisition), or need to go deeper into a certain link (such as number segment generation strategy, multi-platform cross-validation), you can check out the relevant articles in the KK-DATA official documentation and blog:


Now, start your journey to obtain TG data in the United States!

👉 Log in to the console to start screening numbers

If you have any questions or need manual assistance, you are welcome to communicate with us through two-way contact customer service https://t.me/kkdata_robot.

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