Telegram’s full-stack practice of screening accounts: How to use the screening service to accurately target active male users + about 30 years old?

In B2B overseas customer acquisition, number screening service is no longer a simple number verification. When your target users are males who are active on Telegram and are around 30 years old, ordinary “activated or not” detection is far from enough - what you need is a full-stack pipeline from number generation, multi-dimensional screening to crowd profiling. This article will break down how to use KK-DATA’s telegram filtering capability to upgrade “valid numbers” to a “high potential customer list”.

H2: What is Telegram’s “Full Stack Screener”? ——From activation detection to crowd profiling

H3: Activation detection: Determine whether the number is registered with Telegram

Opening Testing (Registration Testing) is the basic layer of the screening service. It verifies whether a mobile phone number has been registered with Telegram. If the number is not registered, subsequent analysis of activity, gender, etc. is meaningless. KK-DATA’s TG activation detection will return the True/False status, with an accuracy rate of over 98% (according to the platform’s official interface logic), which is the first level of the entire screening process.

H3: Activity filtering: only retain recent active real users

Just “activating” is not enough - many activated numbers may be zombies or have not logged in for years. Activity Detection can specify a time window (such as the last 7 days, the last 15 days, the last 30 days), and the system will determine whether the number has been online or sent and received messages within the specified time period. This feature is especially suitable for Telegram community operations and private message promotion: you only need those who “will open Telegram”, not just invalid users.

H3: Gender and Age: How to Interpret Male + Approximately 30 Years Old Data

The Telegram filter number of KK-DATA can return gender (male/female) and age field. The age field is inferred based on device behavior and public registration information. It does not provide an age value accurate to a specific year. Instead, it provides tendencies such as “about 30 years old” and “25-35”. When used for group screening, the combination of “active” + “male” + “age about 30 years old” can greatly increase the customer acquisition conversion rate. But please be sure to note: Age data is a group trend analysis tool and cannot be used to accurately judge a single individual.

H2: How to use the screening service to build a complete TG customer acquisition pipeline?

H3: Step 1: Generate/import target number pool

Use KK-DATA’s Global Number Generation feature (free), or import CSV/TXT from your own data. Supports 240+ country and region code segments, and can also be generated based on specific countries and number segment prefixes. It is recommended to start with the number segments commonly used in the target market to avoid importing a large number of invalid numbers and causing a waste of balance.

H3: Step 2: Submit the full-stack screening task and check the estimated cost

Select “Telegram Screen ID” in the console and check:

• Open detection
• Activity detection (select the last 7 days or the last 15 days)
• Gender identification
• Age field export

Before submission, the system will display the estimated cost, which is calculated based on the unit price of each test type × the number of numbers. Submission will not be possible if the balance is insufficient, and USDT (TRC20) needs to be recharged first. All prices are subject to the real-time price of the console. Different platforms and different detection types have different unit prices.

H3: Step 3: Export results and import into CRM or mass messaging tool

After the task is completed, it can be exported to CSV or TXT. The fields include: mobile phone number, whether TG is activated, whether it is active, gender, age range (such as about 30 years old), and tgid (if the task chooses to export). Import these data into CRM, notification system or private protocol TG mass sending tool to achieve precise contact.

H2: When filtering users who are male + about 30 years old, what data fields do we need to pay attention to?

After exporting results from the KK-DATA console, the following fields are at the core of combined filtering:

Field name	Meaning	Usage suggestions
tg_status	Whether to activate Telegram	Must be “active”
tg_active	Activity results (last 7/15/30 days)	It is recommended to select “true”
gender	Gender recognition result	Can be set to “male”
age_range	Age range (such as about 30 years old)	Used for group screening

Important reminder: The age field is used for trend analysis and cannot be guaranteed to be 100% accurate for a single individual. It can help you determine “the proportion of men aged about 30 in a certain number segment” rather than confirming “Zhang San is 31 years old this year.” Avoid misuse of age fields as identity-level validation.

H2: When is it appropriate to use KK-DATA’s screening service? Examples of typical scenarios

• Overseas Marketing: Targeting the recruitment of agents in the Southeast Asian market (Vietnam, Thailand, Indonesia), it is necessary to screen active male users about 30 years old on Line/Zalo. KK-DATA supports Zalo screen numbers and Line screen numbers, and cross-platform mixed screening in one task.
• TG Community Operation: Promote cryptocurrency projects or cross-border e-commerce communities, only recruit “real users who have been online in the past 7 days”, use TG activity to filter out zombie accounts, and significantly reduce the cost of recruiting new users.
• Private message promotion: When promoting products through TG private messages, if the base number is 1 million numbers, only 100,000 active men may be left after screening, but the conversion rate can be increased by 3-5 times.
• Operation Studio: Manage screening tasks for multiple customers at the same time. KK-DATA’s task notification function (Telegram notification after task completion) and data deduplication warehouse can greatly improve efficiency.

H2: What is the billing mechanism for the number screening service? How to control testing costs?

• No subscription package: 0 monthly fee, fees will be deducted after recharging the balance.
• Recharge method: USDT (TRC20), the minimum is about 50 USDT. The balance is automatically updated after payment is received.
• Deduction Timing: After the number screening task is completed, the system will deduct the corresponding amount from the balance.
• Insufficient balance: New tasks cannot be submitted and need to be recharged first.

Suggestions for controlling costs:

• First conduct a small batch test to verify the screening effect, and then submit the full batch after confirming the model.
• Use Data Deduplication Warehouse: Automatically deduplicate cross-task numbers to avoid wasting balances through repeated detection.
• Check the “estimated cost” before each submission to avoid exceeding the budget by mistake.

H2: What are the common misunderstandings when using screening services? How to avoid it?

• Misunderstanding 1: Only check activation but not activity Consequences: A large number of zombie accounts are mixed into the list, and the conversion rate is extremely low.
  Suggestion: At least add the “active in the past 30 days” condition.

• Myth 2: Repeated testing leads to waste of balance Consequences: The same numbers are detected repeatedly in multiple tasks.
  Recommendation: Enable the data deduplication warehouse and the system will automatically block duplicate numbers.

• Misunderstanding 3: Misjudgment of age accuracy Consequences: Using the age field as an ID number results in data misuse.
  Suggestion: Treat it as a group trend indicator and do not make single individual decisions.

• Myth 4: There is no upper balance limit Consequences: A large amount of balance is consumed at once.
  Suggestion: To control the number of numbers in a single task, use 1,000 for testing first.

H2: FAQ

**Q: What does the “activity” in the telegram screen number specifically refer to? ** Answer: Activity detection can specify a time window (such as the last 7 days, the last 30 days), and the system will determine whether the number has been online or sent and received messages during this time period. Only filter out recently active numbers to improve customer acquisition conversion rate.

**Q: Can the screening service screen multiple platforms at the same time? ** Answer: Yes. KK-DATA supports multiple platforms such as Telegram, WhatsApp, Line, Zalo, etc. You can choose multiple detection types in one task, but the unit prices of different platforms are different, and the final deduction is calculated based on the platform and type.

**Q: How to control the screen size cost? ** Answer: It is recommended to import a small number of numbers to test the detection effect first, confirm the model and then submit it in batches; at the same time, use the data deduplication warehouse to avoid repeated detection of similar numbers; the console will display the estimated cost before each task submission to avoid misoperations.

**Q: Is the screened data of men + about 30 years old accurate? ** Answer: Gender and age information is based on publicly available registration information and behavioral data analysis. It can be used for group portraits, but it cannot be guaranteed to be 100% accurate for a single individual. It is recommended to use it in combination with other dimensions (such as activity, interest groups).

**Q: How long does it take for USDT to arrive after deposit? What should I do if my balance is insufficient? ** Answer: USDT (TRC20) recharge usually arrives within a few minutes, and the balance is automatically updated; when the balance is insufficient, new tasks cannot be submitted and must be recharged first. The minimum deposit is about 50 USDT, you pay as much as you use, and there is no subscription fee.

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From number generation to crowd targeting, KK-DATA’s number screening service helps you upgrade Telegram customer acquisition from “blind typing” to “precision investing”. If you want to build an efficient overseas customer acquisition pipeline, welcome to experience it directly:

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For more documentation and API support, please refer to https://docs.kkdata.cc/