US market Outbound team’s tg filtering Playbook: filtering, stratification and list management

For the Outbound team facing the US market, tg filtering is no longer optional, but a necessity to improve customer acquisition efficiency. When your team faces tens of thousands of original numbers every day but cannot determine which of them are active users and which are potential customers that match the target profile, every invalid contact is a waste of cost.

This article will provide you with a complete set of Telegram filtering operation guide from number generation and screening process to hierarchical list management. Whether you are doing community recruitment, independent website promotion or B2B customer development, this playbook can help you focus your limited resources on high-value numbers and significantly increase the return rate of reach in the US market.

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What is tg filtering? Why does the US Outbound team need it?

The core capability of tg filter is to batch verify the number status of social platforms such as Telegram, WhatsApp, and Line, including whether it is activated, whether it has been active recently, and the user’s gender (some platforms include age fields). For the Outbound team in the US market, this directly solves three key pain points: uncontrollable number quality, waste of communication resources, and ambiguous crowd orientation.

What fields can tg filter detect?

The detection fields of different platforms are different, and the core ones include:

• Activation detection: Whether the number is registered with the target platform (such as Telegram, WhatsApp)
• Activity Detection: You can specify the active window (such as login records in the last 7 days and 30 days)
• Gender Identification: Infer user gender based on public information, support exporting data containing gender, age and other fields
• Platform ID export: such as tgid (Telegram user ID), wsid (WhatsApp ID), to facilitate subsequent contact through ID private messages

Taking the Age field as an example, the age field in the gender detection result can be used to filter or interpret people around 30 years old. Please note that this is an auxiliary judgment at the trend level, not an ID card-level accuracy.

Screening differences between the US market and other markets

The special characteristics of the U.S. market are:

• Complex number sources: including global number segment generation, platform import, CSV custom import, and the number quality varies.
• A large proportion of active users: US Telegram/WhatsApp user activity is relatively high, but the proportion of invalid numbers can still account for 30%–50%
• Stricter Privacy Compliance: Filter results are only used for internal list stratification and shall not be used for illegal mass harassment

Therefore, the Outbound team cannot directly transfer screening strategies from other markets and needs to make targeted adjustments based on the usage habits of American users.

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Preparation work before screening of the American Outbound team: number source and target portrait

Blind screening is the biggest cost black hole. Before submitting the first detection task, please complete the preparation of the number source and the definition of the target population.

How to get the number to be screened in the United States?

KK-DATA provides two main ways to obtain numbers:

1. Global number generation: Supports random generation of numbers in 240+ countries/regions. You can specify the country as the United States (USA), or use global number segment generation + custom number segment CSV import. The generation function is completely free and no balance will be deducted.
2. Self-owned number library import: Upload number files in CSV or TXT format through the console, supporting manual input or batch pasting.

It is recommended to use the generation function first to build a basic number pool, and then filter based on the target portrait.

How to define the filtering conditions for target groups? (active window, gender, age fields)

The steps to determine your target persona include:

• Platform Selection: Are your target customers mainly on Telegram or WhatsApp? If it is a community operation, give priority to Telegram; if it is one-on-one communication, WhatsApp is more suitable.
• Activity Window: Set the time range for active detection. For the US market, it is recommended to first test users who have been active within 7 days as a category A list.
• Gender and Age: If your business is aimed at a specific group of people (such as men around 30 years old), you can enable gender detection in the filtering task and combine it with the age field for further filtering.

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tg filtering filtering process: from generation to layering

Below is an example of a complete screening pipeline, covering all steps from number generation to list stratification.

Step 1: Submit the screening task and select the detection type

Log in to KK-DATA Console, click “Screen Number Task” → “New Task”. In task settings:

1. Import Number: Paste the previously generated US number, or import from a CSV file.
2. Select detection platform: Select Telegram screen number / WhatsApp screen number / Line screen number, etc.
3. Configure detection type: Check “Enable detection”, “Active detection”, and “Gender detection” (if necessary).
4. Set Activity Window: Select “Last 7 Days” or “Last 30 Days” as the activity criterion.

The system will display an estimated fee before confirmation.请核对后提交，任务完成后会自动扣费。

Step 2: Interpret screening results and data export

After the task is completed, you can view the results in “Task Details”. The export format supports CSV and TXT, and the key fields include:

Field	Meaning
phone	number
status	activated/not activated/active/inactive
active	Active status (1=active, 0=inactive)
gender	Gender (male/female/unknown)
age	Age field (about 30 years old, etc., used for trend judgment)
tgid	Telegram user ID
wsid	WhatsApp user ID

Step 3: Create a hierarchical list (category A/B/C) based on tg filtering results

The screening results are divided into three tiers based on activity and gender matching:

• Category A: active within 7 days + gender matching (such as male) → priority access
• Category B: active within 30 days → suitable for second round of contact
• Category C: only activated but inactive → temporarily stored for backup to avoid invalid communication

通过 数据去重仓库 可以跨任务自动去重，避免重复检测浪费余额。

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List hierarchical management: Double the efficiency of Outbound’s reach

Layering is not the end, but the starting point for efficiency improvement. The following layering suggestions can be directly applied:

Example of layered reach strategy:

• Category A: Send personalized private messages directly, inviting you to join the community or participate in activities
• Category B: Push industry news or promotional information through group sending robots
• Category C: only used for data analysis and does not initiate active communication

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Common tg filtering application scenarios of Outbound in the United States

Scenario 1: Number pre-screening before the split of the American Telegram community

If you plan to create user fission through Telegram communities, screening out target active users is key. First use the Telegram Screening mechanism to detect number activity, then filter out target users through gender and age fields, and finally export tgid for private messaging. This can not only ensure the activity of the community, but also avoid invalid invitations.

Scenario 2: Precise gender targeting of WhatsApp marketing accounts

For gender-specific categories such as maternal and infant products and beauty products, the gender detection function of WhatsApp Screener can be used to filter out active users of the target gender. For example, a beauty brand can filter the list of “women + active within 30 days” and then use wsid to reach them through precise private messages.

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Precautions and anti-fraud reminders when using tg filtering

Account security and frequency control

The screening itself is done by the platform, you just submit your number. But when using filter results to reach, be sure to control the frequency:

• The number of private messages in a single day should not exceed 100–200
• Use different accounts to rotate operations
• Avoid adding a large number of friends in a short period of time

Official anti-fraud reminder

Billing model

KK-DATA has no subscription package and adopts the balance recharge + item deduction model. The unit prices for different platforms and detection types are different. For details, please refer to the real-time price on Control Panel or Official Website Billing Page.

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The difference between tg filtering and traditional number cleaning

Dimensions	Traditional number cleaning	tg filtering (KK-DATA)
Detection content	Format, empty number, operator	Platform activation, active status, gender, age, platform ID
Test results	Whether the number can be dialed	The actual user status of the number on the social platform
Applicable scenarios	Telemarketing, bulk text messaging	Telegram/WhatsApp/Line and other social channels Outbound
Data depth	Shallow	Deep (including social behavior, crowd portraits)

Traditional number cleaning can only tell you whether the number exists, but tg filtering can tell you who the person behind the number is, whether it is active, whether it is a man or a woman, and which platform they are on. This is a fundamental difference for the Outbound team.

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FAQ

**Q: Can tg filter detect the active time window of a Telegram account? **

Answer: Yes. In the filtering task, you can specify an active window (such as the last 7 days, 30 days), and only accounts that have logged in within this time period will be marked as active.

**Q: Is the unit price for number screening in the US market different from that in other countries? **

Answer: The unit prices are different for different detection types (activated/active/gender) and different platforms (Telegram/WhatsApp/Line, etc.). There is no additional charge for the US number itself. For details, please refer to the estimated cost when submitting the task at the console.

**Q: How accurate is the “gender” field in the filtering results? **

A: Gender detection is based on public information and algorithmic inference and can be used for crowd targeting, but it is not 100% accurate. It is recommended to use it in conjunction with the age field (about 30 years old, etc.) to do trend analysis rather than individual judgment.

**Q: How many numbers can be filtered at most at one time? **

A: A maximum of about 1 million numbers can be submitted for a single task. There is no limit to the number of generated numbers, but fees will be deducted on a per-item basis. Please control the scale of the task reasonably.

**Q: Can the tgid or wsid be exported after filtering is completed? **

Answer: Yes. When exporting results, select CSV or TXT format, and support exporting tgid (Telegram user ID), wsid (WhatsApp ID) and other fields to facilitate subsequent private message access.

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Now, you have mastered Outbound’s tg filter playbook for the US market. The next step is hands-on operation: starting with number generation, configuring filtering tasks, stratifying results by activity, and finally reaching high-value users efficiently.

👉 Log in to the console to start screening numbers

Have any questions? Two-way contact customer service: https://t.me/kkdata_robot

To learn more about product features, visit the official website https://kkdata.cc/ or read the usage documentation https://docs.kkdata.cc/.