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2026 Complete Guide to TG Filtering: Definition, Data Sources, Filtering Process and Usage Boundaries

tg filter guide kkdata Telegram screen number

2026 Complete guide to tg filtering: definition, data sources, filtering process and usage boundaries

In the actual operation of acquiring customers overseas, tg filtering (i.e. Telegram number filtering) is a key pre-step to verify the quality of the number and improve the reach rate of private messages. Simply put, tg filtering refers to batch detection of whether the Telegram number has been registered (activated), whether it is active within a specific time window, and the user’s gender, age and other attributes. For teams that need to reach Telegram users on a large scale, manual verification is unrealistic, and automatic TG screening tools become a guarantee of efficiency.

This article will completely sort out every aspect of Telegram filtering from definition, number acquisition, filtering process, export field interpretation to usage boundaries, helping you avoid detours when acquiring overseas customers in 2026.

What is tg filtering - the core definition of Telegram number filtering

tg filtering is not equivalent to ordinary number verification. Ordinary number verification only determines whether the number format is correct or whether text messages can be received; tg filtering detects whether the number is registered as a user on the Telegram platform and its behavior status after registration.

The difference between tg filtering and ordinary number verification

DimensionOrdinary number verificationtg filtering
Detection targetNumber format, whether it can be connectedWhether to register for Telegram, activity level, gender, etc.
Data valueBasic compliance verificationImproved customer acquisition accuracy
Test resultsPass/failActivated/not activated, active/inactive, gender, age range
Application scenariosSMS sending, voice callsTelegram private messages, community invitations, targeted promotions

A simple comparison can be seen: tg filtering provides in-depth data based on platform behavior, not just the validity of the number itself.

Why tg filtering is needed to acquire customers overseas?

Suppose you have 100,000 international numbers on hand and directly import them into Telegram for private message promotion, you will face three problems:

  • A large number of numbers are not registered: Many numbers may not be Telegram users at all, and sending messages will inevitably fail.
  • Number registered but inactive: Registered users may not have logged in for several months, resulting in extremely low open rates.
  • Gender/Age Mismatch: If you promote female skin care products but send them to male users, you can imagine the conversion rate.

The function of tg filtering is to exclude these “invalid numbers” before sending messages, and only retain high-quality numbers that are opened and active and whose gender matches the target group**. This directly determines the customer acquisition cost and subsequent conversion results.


Why do we need tg filtering - the value of TG screen number and data quality assurance

Many teams mistakenly believe that “as long as they have a number, it will be enough” and neglect to verify the quality of the number. The result is often:

  • 10,000 messages were sent, but only 3,000 were actually delivered, which wasted 7,000 sending quotas.
  • A large number of users did not read the delivered messages because the number had already been canceled or the user was offline.
  • Gender/age mismatch results in extremely low CTR and negative overall ROI.

The core value of TG Screen Number is to filter invalid and low-quality numbers in advance and only retain high-value users to be reached. Specifically reflected in:

  • Reduce customer acquisition costs: In a pay-per-item scenario, every message has a cost. Screening out invalid numbers directly saves sending costs.
  • Increase reach rate: Only send messages to active users, and the open and reply rates will be significantly improved.
  • Avoid account risks: Sending messages to a large number of invalid numbers may trigger the platform’s anti-spam mechanism, resulting in account restrictions.

Therefore, tg filtering is not a question of “whether to do it”, but “how to do it efficiently and accurately”.


Where do Telegram numbers come from—number acquisition plan before tg filtering

Before performing tg filtering, you need to prepare a list of numbers to be detected. There are three main ways to obtain it legally:

Global number generation - free coverage of 240+ countries

For teams that need to test different country markets, the number generation tool can be used directly. KK-DATA’s number generation module supports random generation of numbers in 240+ countries/regions, and also supports generation of specified number segments or CSV import of custom number segments. The generation itself is free, only subsequent screen numbers will be charged on a per-item basis.

Benefits of number generation: You can quickly build a sample library of numbers in a certain country/region to test market response or verify user density in the target area.

Own number import and CSV batch upload

If your team has accumulated a batch of historical user data (such as registered mobile phone numbers, event registration numbers, etc.), it can be directly imported into the Sieve platform in CSV or TXT format. This is an extremely efficient method - own data often already has a certain basis of trust and can be directly used for secondary marketing after verification.

Data deduplication warehouse - avoid duplicate detection and waste of balances

When importing numbers multiple times, they may be uploaded repeatedly. KK-DATA provides a cross-task number deduplication warehouse. The system will automatically identify and eliminate detected numbers to avoid repeated deductions. For long-term teams, this can save a lot of budget.

Compliance reminder

All number sources must comply with local laws, regulations and platform service terms, and data obtained through illegal crawling or privacy-invading methods must not be used.


The complete process of tg filtering - from number generation to result export

The following takes the KK-DATA platform as an example to describe the standard operating steps of TG screen size.

Step 1: Prepare a list of numbers to be tested

It can be generated through the global number generation function or you can upload an existing CSV/TXT file. Supported number format: international area code + number, one per line.

Step 2: Select the tg filter detection type

When creating a new task in the console, you need to select the following detection types (multiple choices are available):

  • TG activation: Check whether the number has been registered with Telegram (required for basics)
  • TG active: You can specify the active time window (such as the last 3 days / the last 7 days / the last 30 days)
  • TG Gender: Detect user gender and age range (can be used to target people around 30 years old, etc.)

Note: The age field in the gender detection results is inferred based on the platform’s public data, not the exact age at the ID card level. The data is for reference only.

Step 3: Submit tasks and cost estimates

The estimated cost will be displayed on the console before submission. The cost is calculated based on the number of tests × the unit price of the selected test type. For specific unit prices, please see the console’s real-time price. A single task supports up to about 1 million numbers. For extremely large numbers, it is recommended to submit them in batches.

The recharge method is USDT (TRC20), with a minimum of about 50 USDT. The balance will be automatically updated after the recharge arrives.

Step 4: Export filtering results (detailed explanation of CSV/TXT export fields)

After the task is completed, the results can be viewed through notifications (Telegram push) or the console. The export format supports CSV or TXT, and the exported fields include:

  • Number (original number)
  • TG activation (yes/no)
  • TG active (yes/no, including recent active time)
  • TG gender (male/female/unknown)
  • Age range (e.g. 25-30, 30-35)
  • tgid (Telegram internal user ID, can be used for subsequent high-level operations)
  • wsid (WhatsApp user ID, if other platforms are also detected)

These fields provide an accurate data basis for subsequent private message placement and crowd segmentation.

Fee explanation tips

Before submitting the screening task, the console will display the estimated fee and deduct the fee on a per-item basis. Please refer to the real-time price of the application console for the specific unit price.


What data can be filtered out by tg filtering - analysis of the core fields exported by TG filter number

Many users have questions about the meaning of exported fields. Here is a detailed explanation:

  • TG activation: The simplest test to determine whether the number has been registered on Telegram. This is the basis for all filtering.
  • TG Active: Further determine whether the user has operation records within the specified time window. If “Active in the past 7 days” is set, the last active time of the number will be marked in the export results.
  • TG Gender: Contains gender and age range. The gender field is used to target male/female users, and the age field can be used to filter for specific age groups.

Special note for “tg 30-year-old data”: In the gender detection export results, the age field is a range (such as 25-30, 30-35). Users can filter this field to obtain people around 30 years old. This is not an independent “age detection product”, and its accuracy is far from the ID card level.

Field nameMeaningTypical values
NumberOriginal mobile number+8613xxxxx
TG activationRegister or notYes/No
TG activeIs it active (including time)Yes (operations within 7 days)
GenderInferred GenderMale/Female/Unknown
AgeInferred age range25-30
tgidTelegram internal ID12345678

Used in combination, these fields can build a very accurate user portrait, which can be used for subsequent targeted private messages or community invitations.


How to judge the TG activity of a number - Description of the active window of TG screen number

TG activity is a key indicator of efficient private messaging. Even if a number is registered with Telegram, if it has not logged in for six months, it used to be difficult to get a reply to a private message.

KK-DATA’s TG screen number supports customizing the active detection window. Common options include:

  • Active in the last 3 days: Highest reach rate, suitable for real-time marketing scenarios (such as limited-time activities)
  • Active in the past 7 days: High activity, suitable for most promotion needs
  • Active in the past 30 days: Generally active, suitable for content-based community invitations

Strategic Suggestion: For marketing activities with high conversion requirements, it is recommended to use the active window of the past 7 days; for social and brand exposure promotions, it can be relaxed to the past 30 days. The shorter the active window, the fewer numbers will be filtered but the quality will be higher; the longer the window, the number of numbers will increase but the activity will decrease.


Notes and usage boundaries of tg filtering

When using the tg filtering service, there are several points that need to be clearly understood:

  1. Data accuracy limitations: Gender and age fields are inferred based on the platform’s public data. They do not provide age verification accurate to the ID card level and cannot replace demographic data.
  2. Compliant use: Screened numbers can only be used for legitimate marketing promotions and may not be used for data crawling, privacy infringement or harassment.
  3. Billing method: No subscription package, billing will be based on the item. New tasks cannot be submitted when the balance is insufficient and must be recharged first.
  4. Official customer service channel: The platform provides a two-way customer service channel. Users should look for the official entrance and beware of fraud by fake customer service.

Important reminder: Choose customer service channels carefully

KK-DATA provides a two-way customer service channel: https://t.me/kkdata_robot. Please do not trust other accounts claiming to be official customer service. The platform will regularly issue anti-fraud inquiry announcements.


In addition to Telegram - Overview of the number filtering capabilities of other social platforms

Although tg filtering is a core function, in overseas customer acquisition scenarios, a single platform is often not enough. KK-DATA also supports multi-platform number screening capabilities:

  • WhatsApp: detect activation, activity, gender, support wsid export
  • Line: detect activation, validity, gender (including male orientation), export uid
  • Zalo: For Vietnam/Southeast Asia market, supports activation, activity, and gender detection
  • iMessage / iOS: Detect iOS device status, blue number and iMessage valid number
  • RCS: Detect RCS activation status
  • Viber, Facebook, Instagram, Binance, LinkedIn and other platforms

The cross-platform number screening capability allows overseas teams to complete all number quality verification work on one platform, forming a complete pipeline of “generate → filter → export”.


FAQ

**Q: Will tg filtering read my chat history? ** Answer: No. The tg filter only detects whether the number is registered (activated) in Telegram, whether it is active within the specified time window, and the user’s gender and other fields that are public or allowed to be obtained by the platform. Private data such as chat content and address book is not involved.

**Q: How long will the numbers after tg filtering be valid? ** Answer: The filtering results reflect the number status at the time of task execution. Since the number may be deregistered or deactivated, it is recommended to use it for marketing activities as soon as possible after obtaining the screening results. Retesting is recommended for screening results that have not been used for a long time.

**Q: How many numbers can be filtered in a single tg filtering task? ** Answer: A single task supports the detection of up to about 1 million numbers. It is recommended to submit in batches for extremely large quantities. The platform will process them in batches and notify the completion status separately.

**Q: How accurate is the tg filtered gender detection? ** Answer: Gender detection is based on the inference of the platform’s public data. The accuracy is better than random guessing, but it is far from the ID card level. The age field is a range value (such as 25-30), which can be used for crowd orientation reference and should not be used for precise identification.

**Q: Can I get a refund if the balance is not used up? ** Answer: The remaining balance will be deducted according to the item and will be used up until it is used up. There is no validity limit. For specific refund policies, please refer to the platform’s official documents or consult customer service.


If this article is helpful for you to understand tg filter, you can start testing it now.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Detailed documentation: https://docs.kkdata.cc/

Screening the right numbers is the first step in acquiring customers.

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