Full interpretation of the US tg data result fields: how to view number status, activity, gender and TG ID

After you use KK-DATA to run a batch of American Telegram number screening tasks, are you a little confused when faced with the dense fields in the exported CSV or TXT file? Number status, activity level, gender, age, TG ID…which fields are really useful? What combination can we use to find high-value American TG users? This article breaks down the meaning of each column one by one, combined with real scenarios of overseas customer acquisition, to help you get started quickly, understand the results, and use the data correctly.

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What core fields are included in the US tg data filtering results?

KK-DATA’s US TG screening task supports multiple types of combination detection (activation, activity, gender, etc.). After the task is completed, the exported results file usually contains the following common fields. You can get the corresponding columns based on the actual checked detection type.

Field overview: number, status, activity, gender, age, TG ID, etc.

Field name	Meaning	Example values
phone	Original mobile phone number (with country code)	+12025551234
country_code	Country code	US
status	Number activation status	开通 / 未开通 / 未知
active	Active detection results	24h / 3d / 7d / inactive
gender	Gender speculation	male / female / unknown
age_range	Age reference interval	25-30 / 30-35
tgid	Telegram user’s unique numeric ID	123456789
last_seen	Last online time (if public)	2025-04-01 10:00:00

Please refer to the console for the actual export field order and naming. The above are common common names.

Differences in export fields corresponding to different detection types

KK-DATA’s US TG screening task allows you to freely combine test items. Different combinations export different fields:

• Only enable detection: Only output phone, status, country_code, without active, gender, etc. columns.
• Open + Active Detection: Additional output active, last_seen fields.
• Activate + Active + Gender Detection: Add gender, age_range, tgid fields.
• Gender detection only: You need to ensure the activation status first, otherwise the gender field may be empty.

Suggestion: First do the activation test to filter out invalid numbers, and then perform activity + gender detection on the activated numbers. This two-step task can save about 70% of the number screening cost.

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How to determine whether a US Telegram number is activated? (Number status field analysis)

Determination logic of “activated” and “unactivated”

• Activated: The mobile phone number has registered an account in Telegram, can receive messages or has been searched.
• Not activated: This number has not been registered with Telegram. It may be an empty number, a virtual number, or it may have never used Telegram.

In the result of KK-DATA, the status field value 开通 indicates that the number is valid; 未开通 indicates that it is invalid.

What should I do if I encounter an “unknown” or “timeout” status?

Occasionally, 未知 or 超时 may occur due to:

• The operator to which the target number belongs responds too slowly or rejects the detection request.
• Network fluctuation or temporary abnormality of Telegram server.

Treatment method: Extract these numbers separately, resubmit for testing after appropriately extending the interval, or manually check a small batch of confirmations. Usually one retry will give you a clear result.

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How to read the activity field? How to screen highly active American TG users?

Activity detection can tell you whether a number has been online within a specified time window. KK-DATA supports customizing active windows (such as 24 hours, 3 days, 7 days, 30 days, etc.), and the active field in the export results will display the corresponding minimum interval.

Active field value	Meaning	Suitable for marketing scenarios
24h	Online within 24 hours	Instant push, event notifications
3d	Pass online within 3 days	Limited time discounts, flash groups
7d	Online within 7 days	Regular promotion
inactive	Not online beyond the specified window	Marketing is not recommended yet

Practical Suggestions: For B2B tool recommendations, it is recommended to first use “7 days active” for wide screening, and then narrow down the high-converting batches to “3 days active” for secondary exposure.

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Are the gender and age fields accurate? How to use it?

The gender field supports three values: “male”, “female” and “unknown”

KK-DATA’s gender detection relies on usernames, avatars, Bio and other features in Telegram users’ public profiles for inference, and is not 100% accurate. Users with blurred avatars and neutral nicknames will be marked as unknown.

The correct way to interpret the age field: it is not equal to the real year of birth, but a reference interval inferred based on data.

The age_range field (such as 25-30) indicates the approximate age group of the user estimated by the algorithm based on public information, not the precise age at the ID card level. Common intervals include 18-24, 25-30, 30-35, 35-40, etc.

Usage Precautions:

• Do not use the age field as an absolute filter condition. It is recommended to combine it with other fields to make a comprehensive judgment.
• Data about “about 30 years old” can be used to target general groups (such as workplace tools, household consumption), but is not suitable for advertising targeting as accurate as “31 years old”.
• If a user does not have a public Bio or avatar, the age field may be blank.

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What is the use of TG ID? Why do you need to export it?

The relationship between TG ID and mobile phone number: one-to-one but irreversible

• TG ID is a unique digital ID assigned to each user by Telegram. It is similar to WeChat ID and will not change when changing mobile phone numbers.
• Mobile phone number can be changed, but the TG ID will never change. If the user cancels the account and then re-registers, the TG ID will change, but this rarely happens in the short term.
• Irreversible: Mobile phone number cannot be reversed from TG ID, privacy is safe.

How to export the TG ID field in KK-DATA

If you check “Gender Test” or “Complete Test” when submitting the screening task, the results will include the tgid column. Operation steps:

1. Log in to KK-DATA Console.
2. Create a US TG screening task and select the “Active + Active + Gender” detection mode.
3. Select CSV or TXT format when exporting, and the tgid fields will be included automatically.

Practical value: Save the TG ID in your CRM, and you can accurately push messages through the Telegram API later, and you can still reach it after changing your mobile phone number.

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How to use the result field combination to build an accurate U.S. TG data portrait?

After understanding each field, using it in combination can greatly improve customer acquisition efficiency. Here are a few typical scenarios:

Scenario 1: B2B SaaS overseas promotion

• Filter conditions: activated + active for 7 days + male + age 25-40
• Reason: B2B decision-makers are mostly working men, and those aged 25-40 are the main tool users.
• Export fields: phone, tgid, age_range
• Follow-up operations: First match the CRM through TG ID, and send group invitations to unreached numbers using their mobile phone numbers.

Scenario 2: Beauty/female e-commerce independent website product testing

• Filter Conditions: Opened + Active (within 7 days) + Female
• Reason: Women are highly sensitive to beauty content, and active users are more likely to click on links.
• Export fields: phone, gender, active
• Note: The age field can be used as a helper, but don’t rely on it too much.

Scenario 3: Regional FMCG event notification

• Filter conditions: Activated + 24 hours active
• Reason: Limited-time offers require immediate access, and 24-hour active users have the highest open rate.
• Export fields: phone, last_seen

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FAQ

**Q: Is the age field in the US tg data filtering results the real age? ** Answer: No. The age field is inferred based on public information of Telegram users (such as Bio, avatar, and username characteristics). It is only used as a reference value for the population and cannot be used for ID card level verification.

**Q: Can the TG ID be reused after exporting? Will the same number change if detected again? ** Answer: TG ID is a unique numerical identification assigned to each user by Telegram and will not change. You can store it in the database as a long-term user ID and associate it with your mobile phone number to avoid repeated detection.

**Q: What is the difference between “active” and “activated” in US TG data? ** Answer: The activation test only verifies whether the number is registered with Telegram (whether it has an account); the activity test will further determine whether the account has online behavior within the specified time window. It is recommended to use activation detection to filter out invalid numbers first, and then perform active detection on activation numbers to save costs.

**Q: Why are some fields in my US tg data export results blank? ** Answer: Blank usually means that the corresponding field is not checked for this test type (for example, if only the activation test is done, the gender and age fields are empty), or the number has no valid results in this test (for example, the gender cannot be guessed). You can preview the estimated cost and field list before submitting the task to make sure the required fields are checked.

**Q: In which areas of the United States does KK-DATA support filtering numbers? ** Answer: KK-DATA’s TG screening number is based on the global number library. You can specify the U.S. country code through the number prefix (such as +1), or use the “Global Number Generation” module in the console to generate the U.S. number segment and then import the filter. For details, please refer to [Usage Document] (https://docs.kkdata.cc/).

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Start screening your US TG data immediately and quickly build accurate user portraits.

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