A complete guide to active TG data in the United States: segment generation, filtering, deduplication, and industry scenario thematic navigation

For overseas teams facing the North American market, US active TG data is the key bridge connecting real users and business goals. The so-called “active TG data” not only includes whether the number has been registered with Telegram (activation status), but also includes portrait information such as whether the user has been online recently, gender and age. Compared with a pure number list, active data can help you directly avoid zombie accounts and silent accounts, and accurately target private messages, community invitations, and product testing promotions to people who are truly willing to interact. This article will systematically sort out the entire process of obtaining and utilizing active TG data in the United States, from number segment acquisition, batch screening, deduplication and export to typical application scenarios, to help you efficiently manage your customer acquisition pipeline.

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

US active TG data usually consists of the following three layers of information:

Activation status: Whether the number has a Telegram account registered.
Activity: Whether registered users have online behavior within the specified time window (such as 7 days, 30 days).
Profile fields: including gender, age, avatar, tgid, etc. (inferred based on public Profile).

Compared with ordinary number lists, the greatest value of active data is to eliminate invalidity and improve conversions. Suppose you have 100,000 U.S. numbers on hand and send them in bulk without detection. Only 40% of them may have opened Telegram, and only half of these 40% are active users who have been online in the past 30 days. The result of direct sending is: a large number of messages are ignored, and the account is even blocked due to high complaint rate. First, use active TG data in the United States to filter. Every user you reach will be “conversable” and the conversion rate may increase by 3-5 times.

For scenarios such as cross-border e-commerce product testing, community cold start, and PR promotion, accurate targeting of active users means lower trial and error costs and higher ROI.

How to get American Telegram numbers in batches? ——Code segment generation and import

To obtain a US TG number, there are usually two paths: generate the number segment yourself from scratch, or use an existing number pool. KK-DATA supports both methods, and generating number segments is completely free.

Randomly generate US number segment: covering 240+ countries, free to use

In KK-DATA’s “Global Number Generation” module, you can:

Specify the country as “United States”, select the required area code (such as 213, 310, 212, etc.), or directly randomly generate a US number segment.
The system will generate numbers in legal format based on real number segment rules (such as NANP North American Number Plan). Each number is empty but has a complete structure.
No billing for generation: No matter whether 10,000 or 1 million is generated, the balance will not be consumed. Only when these numbers enter the number screening process (such as opening a test), fees will be deducted on a per-item basis.
Suitable scenario: There is no ready-made number source and a North American user pool needs to be quickly built.

Custom CSV import: if you already have a number pool

If you already have a list of US numbers obtained from other sources (such as numbers collected at exhibitions and APIs), you can directly upload the CSV file. The system automatically recognizes the number format and enters the number screening process after removing duplicates. This approach is suitable for:

Target a known number segment (such as a region-specific number segment)
Clean historical data
Works with third-party data sources

Method	Cost	Applicable Scenarios	Flexibility
Randomly generated	Free	No existing number pool, large-scale creation is required	High, area code and quantity can be specified
CSV import	Free	Existing number list needs to be cleaned	Rely on the quality of own data

How to check whether the US TG number is activated? ——Detailed explanation of Telegram activation detection

After obtaining the numbers, the first step is to verify that the numbers are registered with Telegram. Activating the test is the prerequisite for all subsequent account screenings - only numbers registered with Telegram need to undergo activity or gender testing.

Accuracy and efficiency of activation detection

KK-DATA’s tg activation function is verified based on the Telegram registration verification protocol and is not a simulated login or guessing. A single task can process up to about 1 million records, which will be processed asynchronously after submission. The detection results will be marked as “activated” or “not activated”, which is clear at a glance when exporting.

Operation steps (concise version):

Log in to the console and select “Screen Number Task” → “Telegram Screen Number”.
Import or paste the number list (supports CSV/TXT).
Check “Enable Detection” as the target detection type.
Submit the task and the estimated cost will be displayed on the page (subject to the real-time price on the console).
After the task is completed, the results can be notified through Telegram or downloaded directly in the background.

Suggestions for handling unactivated numbers

For numbers marked as “unactivated”, it is recommended to discard them directly or keep them for verification on other platforms (such as WhatsApp). Do not continue to submit them to liveness checks, otherwise your balance will be wasted. You can regenerate a batch of new numbers and perform activation detection again until a sufficient number of activation numbers are accumulated.

What is the US TG activity test? How to filter high-engagement users?

Activation detection is just “registration identification”. To further understand whether users frequently use Telegram, you need activity detection. KK-DATA supports customized active windows, such as 7 days, 14 days, 30 days, 60 days, etc. The system will return whether the user’s last online time within the specified time window meets the conditions.

Active window selection suggestions

The active window can be flexibly adjusted according to business needs. For example, for immediate promotions (such as flash sales), it is recommended to select users who have been active within 7 days for faster response; if it is brand planting or long-term community operation, it is more appropriate to select users who have been active within 30 days, which can cover more potential audiences while maintaining a high interaction rate.

Common output fields for activity detection include: phone, tg_registered, last_online_ts, active_in_days (0-7/0-30, etc.). The details are subject to console export. You can filter out target active users based on business needs, such as “activated numbers online in the past 30 days”, and then proceed to the next step of portrait analysis.

How to interpret the gender and age fields of American TG? Can it be used for crowd targeting?

KK-DATA provides the identification function of gender and age fields in Telegram screens. This data comes from the personal information (such as name, Bio, avatar style, etc.) in the user’s Telegram public profile and is inferred through algorithms. Common output includes:

Gender: male, female, unknown
Age: about 20 years old, about 30 years old, about 40 years old, etc. (segmented values, not precise age)
Others: Some users may also include avatar URL, TGID, etc.

Note: The age field is a demographic reference and should not be considered a precise identification. And some users cannot be identified if they have not disclosed their information. This data is more suitable for group portrait stratification, such as “targeting male users to push male skin care products” or “testing mid-to-high-end products for people around 30 years old.”

Data accuracy reminder

The age field is only for group statistical reference and should not be regarded as precise identification, and some users cannot be identified if they do not disclose their information. In actual marketing, it is recommended to combine A/B testing to verify the targeting effect.

If your marketing activities need to differentiate between genders, you can check “Activate Detection” + “Active Detection” + “Gender Detection” at the same time in the screening task to get the complete fields at once and reduce repeated tasks.

Number deduplication and export: How to avoid duplicate detection and use data efficiently?

When multiple number screening tasks are performed, the number pools may overlap. Manual deduplication is not only time-consuming, but also easy to miss, resulting in the same number being repeatedly detected and charged repeatedly. KK-DATA’s built-in data deduplication warehouse can perfectly solve this problem.

How the deduplication warehouse works

Every time you submit a number screening task, the system will automatically compare the number list with the historical detection database:

If a number has already been tested and the result is still valid (not expired), the system will directly return the historical result and no new deduction will be generated.
If the number has never been detected, or the previous detection type was incomplete (for example, it was only activated but not active), only the missing part will be detected and billed.
The deduplication warehouse is effective across tasks and users (under the same account), ensuring that every penny is spent on new numbers.

Export field selection and data cleaning

After the sieve number is completed, the export supports CSV and TXT formats. Before exporting, you can:

Choose to export only “opened + active” numbers (convenient for private messages or invitations).
Or retain the complete fields (including gender, age, tgid, etc.) for further population analysis.
It is recommended to convert the format according to subsequent usage scenarios: for example, use TXT (one number per line) for private message lists, and use CSV for data analysis.

What are the typical application scenarios of active TG data in the United States?

With high-quality US active TG data, a variety of tactics can be played. Here are the three most common scenarios and their recommended actions.

Cross-border e-commerce: product testing for male/female users

Suppose you are planning to promote a men’s anti-acne skin care product in the beauty section. You can:

Generate a batch of US numbers → activate detection → active detection (within 30 days) → gender screening (male) → export active male user list.
Generate another batch of numbers and repeat the process to select female users as the control group.
Send test links or product pictures to two groups of users respectively, and observe the click-through rate and consultation volume to quickly judge the product fit.

This method saves at least 50% of testing costs compared to random placement.

Community operation: quickly absorb active users within 30 days

The worst thing to worry about when creating a new Telegram community is a cold start - if a group of zombie accounts are brought in, the atmosphere will not be up. Using US active TG data, you can:

Export the list of users “activated and active within 30 days”.
Invite only these highly active numbers to the group through group invitation links or private messages.
In conjunction with gender screening, invite men or women to create a community with a specific atmosphere (such as a group of male car enthusiasts).

By inviting about 500-1,000 active users, the community will naturally generate daily conversations and gradually expand later.

Private message promotion: avoid invalid numbers and reduce the risk of account suspension

The survival rule of private message promotion (DM): low complaints = low number of account bans. If you directly send a message to a number that has not been activated or has been inactive for a long time, the other party will either not receive it or will resent it and complain. And using US active TG data, you can:

First filter out the numbers that are “activated + active within 15 days + gender-neutral”.
Send in batches and control the amount sent every day (for example, 100 items/account).
This combination can significantly reduce the complaint rate and extend the account life.

FAQ

Q: Can the US TG activity data be guaranteed to be 100% accurate?
Answer: No. Activity detection is based on the latest online time returned by the Telegram server. Some users may be invisible or turn off their online status, resulting in certain deviations in the results. However, combined with the opening of detection and active windows, the accuracy rate is relatively high in the industry. It is recommended to conduct secondary verification for key users.

Q: How to avoid wasting balance by repeatedly testing the same batch of numbers?
Answer: Use the data deduplication warehouse function of KK-DATA. Before submitting the number screening task, the system will automatically compare the historical detection records. No repeated deductions will be made for the numbers that have been detected, and the results will be output directly. You don’t need to manage it manually.

Q: Which area codes in the United States are supported for number generation?
Answer: The platform supports all major area codes in the United States (such as 213, 310, 212, 917, etc.), and the area code can be selected as needed or randomly generated. The specific number segment can be previewed on the “Number Generation” page of the console.

Q: How much does it cost to detect a US TG number?
Answer: Different detection types (activated, active, gender) have different unit prices, and there are tiered prices depending on the recharge level. Please log in to the console to view real-time prices or see Billing Instructions.

Q: I only need 1,000 active users in the United States. What is the most cost-effective method?
Answer: It is recommended to first use “Global Number Generation” to generate a US number segment for free (for example, generate 5,000 numbers), then submit “Activation Test” to filter out registered numbers (usually about 2,000-3,000), and then submit “Activity + Gender Test” for the activated numbers. In this way, you only pay for the number of tests you actually need, and use deduplication to avoid duplication. Note: Generation is free, activation and activity are billed per item.

Mastering the acquisition and screening logic of active TG data in the United States is a core skill for overseas teams to reduce customer acquisition costs and improve conversion efficiency. Whether you want to test products, create a group, or promote via private message, you can quickly obtain a high-quality user pool by following the standard pipeline of “Generate → Activate Testing → Active Testing → Gender/Age Screening → Deduplication and Export”.

Start your US active TG data project today: 👉Log in to the console to start screening numbers 🤖 Two-way contact customer service: https://t.me/kkdata_robot 📖 Detailed operation documentation: https://docs.kkdata.cc/

Action tips

If you already have a list of numbers on hand, upload the CSV directly and cooperate with the deduplication warehouse to avoid repeated missed checks. If you have any questions, please contact customer service via Telegram at any time and we will provide one-on-one guidance.