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Dictionary of valid TG number fields in the United States: How to interpret status, activity, gender and age data

Valid tg number in the United States Function US data kkdata Telegram

Dictionary of valid tg number fields in the United States: how to interpret status, activity, gender and age data

When trying to acquire customers overseas in the US market, many people will encounter the same problem: they have a batch of US numbers on hand, but they don’t know which ones are US valid TG numbers, let alone understand the meaning of various fields in the screening results.

If you import a batch of U.S. mobile phone numbers in batches, and after passing the KK-DATA filter, you will get a table with fields such as tg_is_active, tg_is_valid, gender, age, and tgid—what do these represent? How to use them to select truly reachable target users?

This article will use the field dictionary of US Valid TG Number as the core to explain the return value meaning of each field, business interpretation methods, and how to apply these fields to actual scenarios of overseas customer acquisition.

What is the US TG activation number? Two core status fields in the screen number results

In the screening results of KK-DATA, for the Telegram platform, the two most core fields are activation detection and activity detection. They directly determine whether a number can be used to add followers, send private messages or attract groups.

Activation detection (tg activation/registration detection)

  • Field name example: tg_is_active (some versions show tg开通)
  • Return value: 1 (Telegram registered), 0 (unregistered)
  • Business Interpretation: This field tells you whether the target mobile phone number has been registered on Telegram. Only numbers with return value = 1 can be considered as valid TG numbers in the United States in the true sense.

Note: Activation does not mean active. A number may be registered with Telegram but has never been online or has been abandoned, so the reach rate is often not ideal just by filtering by the activation field.

Activity detection (tg active)

  • Field name example: tg_is_valid (some versions show tg活跃 or last_seen)
  • Return Value Rules: Depends on the active window you specify (7 days, 14 days or 30 days)
    • 7 days online → Highly active
    • 14 days online → Moderately active
    • 30 days online → low activity
    • More than 30 days or never online → Zombie account/Invalid

Note: Field names are subject to console export

The exported column names of different detection types may be slightly different. It is recommended to check the field correspondence with the document page https://docs.kkdata.cc/ after each task is completed.

How to classify the activity level of valid TG numbers in the United States? What counts as “reachable”

After getting the activity field, you need to know what kind of return value counts as “people you can contact.”

Activity level interpretation (example)

Active windowReturn code exampleUser behavior descriptionCustomer acquisition value
Online within 7 days1 (high activity)Open Telegram almost every dayExtremely high, suitable for instant private messages
Online within 14 days2 (medium active)Online 2-3 times a weekHigh, suitable for group messaging
Online within 30 days3 (low activity)Open only occasionallyMedium, suitable for group building
More than 30 days0 (inactive)The account may have been abandonedLow, recommended to be removed

Business practice suggestions

  • Batch private messages/product promotion: It is recommended to choose highly active or medium active numbers, the reach rate can reach more than 60%.
  • Community Recruitment/Brand Exposure: You can relax to the lowest active number and let them activate after receiving the invitation.
  • Completely Eliminated: It is not recommended to waste resources contacting US TG numbers that have not been online for more than 30 days.

How to use the gender and age fields of a valid US TG number? How to interpret tg30-year-old data

In addition to activation and active status, KK-DATA’s Telegram screen number detection also supports gender and age fields. This part of the data is very useful when doing crowd orientation, but you need to pay attention to the accuracy boundary.

Gender field (Gender)

  • Field name example: gender
  • Return Value: male / female / unknown
  • Data source: Comprehensive inference based on user nickname, public description, avatar, behavior pattern, etc.
  • Business purpose: Group valid TG numbers in the United States by gender to push differentiated products. For example: Women’s products are marketed to the female group.

Age field (Age/age group)

  • Field Name Example: age or age_range
  • How to filter “people around 30 years old”: The age field in the exported results will display an approximate value or age group (such as 25-34), just filter by this range.
  • Note: The age field is not accurate data at the ID card level, but is inferred based on public information such as nickname and avatar. If you are looking for users who are “about 30 years old”, it is recommended to use 25-34 or 28-32 as filter conditions to leave room for error.

Instructions for accuracy of gender and age data

Gender and age are inferred based on public behavior/data, non-ID card level accuracy. It is recommended to leave a margin when screening, as a reference for crowd orientation rather than an absolute basis.

What is TGID? The meaning and use of the tgid and wsid fields in the filter results

In the exported file, you may see the two fields tgid and wsid, which are the unique user identification codes for the Telegram and WhatsApp platforms respectively.

  • tgid: The unique numerical ID of each user on the Telegram platform. You can use it for data deduplication, blacklist management, or to interface with your own CRM system.
  • wsid: The unique ID of the WhatsApp platform user, the purpose is similar to tgid.

Practical Scenario: After you screen the valid TG numbers in the United States and export TGID for the first time, you can enable the Data Deduplication Warehouse function for subsequent new tasks. The system will automatically detect existing TGIDs and skip repeated detection of the same number to avoid wasting balances.

How to use KK-DATA to complete the whole process of “number generation → filter number → export field”?

Taking the screening of valid TG numbers in the United States as an example, the complete operation path is as follows:

  1. Number generation (free):

    • Enter the “Global Number Generation” module of the KK-DATA console
    • Select the country as “United States”, and the region can specify a specific number range or be randomly generated
    • Export number list (CSV format) with one click
  2. Submit screening task:

    • Import the generated US numbers into the screening module
    • Select detection type: activated (tg) + active (specify 7-day window) + gender + age
    • Before submitting the task, the console will display the estimated cost and execute it after confirmation.
  3. Export field results:

    • Once the task is completed, choose CSV or TXT export
    • The downloaded table includes: number, TG activation, TG active, gender, age, TGID and other columns
    • Use data deduplication warehouse to automatically filter detected numbers

After getting the valid number field of the US TG, how to use it to acquire customers and deliver overseas?

With rich field data, you can perform precise crowd stratification operations:

  • Scenario 1: Promotion of female beauty products → Filter gender=female + 年龄=25-34 + tg活跃=高活跃 valid TG numbers in the United States, and make targeted private messages or community invitations.
  • Scenario 2: Financial investment services → Filter gender=male + 年龄=30-45 + tg活跃=中/高活跃 numbers to push industry information or event posters.
  • Scenario 3: Recruit new members to the community regardless of group of people → Directly filter out the good accounts of tg开通=1 + tg活跃=中/高 to quickly expand the community base.

Remember: fields are not just a filtering tool, but also the basis for hierarchical operations. Valid TG numbers in the United States It is not that the more the better, but the more accurate the better.

FAQ

**Q: What is the field export format for valid TG numbers in the United States? ** Answer: KK-DATA supports export in CSV and TXT formats. The field names are based on what is displayed on the console task results page. Common fields include: number, tg activation (1/0 value), tg active (1/0 or time value), gender, age, tgid, etc.

**Q: What is the use of the tgid field? Can I repeat the test number? ** Answer: tgid is the unique internal ID of each user on the Telegram platform, which can be used for subsequent targeted operations or data deduplication. Through KK-DATA’s data deduplication warehouse, the system will automatically identify the detected tgid to avoid repeated deductions.

**Q: Are the gender and age fields in the filtered US TG numbers accurate? ** Answer: The gender and age fields are inferred based on user public behavior, nickname, avatar and other data, and are not real-name authentication or ID card-level accuracy. It is recommended to be used as a reference for rough orientation of the crowd and should not be used as the only filtering condition.

**Q: How many days can be specified for activity detection? ** Answer: Common active windows such as 7 days, 14 days, and 30 days are supported. The specific options are subject to the console task configuration. When screening, it is recommended to select based on the timeliness of customer acquisition (for example, use a short window for private message categories, and relax it for brand categories).

**Q: How much balance will be consumed by activating 50,000 U.S. numbers + gender screening once? ** Answer: The specific cost is subject to the real-time price of the console. KK-DATA adopts a per-item billing model. Different detection types (activated, active, gender) have different unit prices. The estimated cost will be displayed before submitting the task, and it cannot be executed when the balance is insufficient.


The above is a complete interpretation of the US Valid TG Number field. If you are ready to start the first wave of reaching the U.S. market, it is recommended to run a screen with your own small list first, and then scale up the batch operation after becoming familiar with the meaning of the fields.

👉 Log in to the console to start screening numbers Step by step experience the entire process of global number generation → multi-platform screening → field export; if you have any operational questions, contact customer service in both directions https://t.me/kkdata_robot for real-time guidance; for details on field correspondence, please refer to the official documentation https://docs.kkdata.cc/.

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