Guide to judging the quality of tg male numbers: How to batch screen out highly available TG active male users

In the scenarios of overseas marketing, community operation and batch fan addition, tg male number is a high-frequency demand: whether it is for cross-border e-commerce, independent website promotion, or Telegram group recruitment, the core goal is to accurately reach the target gender users. But the reality is that you may have a bunch of numbers on hand (from public groups, web scraping, or purchase lists), and the proportion of truly available “high-value male users” is often very low - invalid numbers, inactive ghost accounts, and even accounts with unmarked or wrong genders are everywhere. How to filter out high-quality data that is truly “open, active, male, and accessible” from a bunch of numbers? This article explains everything from quality definition, detection methods, operation steps to tool chain in one go.

What is “tg male number quality”?

Many practitioners equate “valid number” with quality, which is a misunderstanding. tg male number quality is not a single dimension, but a superposition of three levels of standards:

Activated: The number has been registered with Telegram and has not been canceled or blocked.
Active: The account has logged in or operated in the recent past (such as 30 days/7 days), and there is a possibility of being contacted.
Real Gender: The gender field in the public account information is “Male”, and it is not a program-generated robot account or gender-ambiguous account.

Only when the above three conditions are met at the same time, this number is considered “highly available”. It is meaningless to look at “opened” or “valid” alone - for example, a male account that has never been online after registration and has the default avatar is almost equivalent to a dead account.

Three levels of quality standards: open → active → gender real

First level (activation): Basic threshold. Numbers that have not been opened for Telegram are directly excluded.
Tier 2 (Active): Core Threshold. Even if it is enabled, if the user does not log in for a long time, the message sent will most likely go nowhere. It is recommended to screen at least numbers that are “active in the past 30 days”.
Level 3 (Gender Reality): Accurate threshold. Only numbers whose gender field is clearly “male” can meet the target. At the same time, it can be combined with the age field (such as about 30 years old) for rough screening.

Typical manifestations of low-quality numbers

Type	Characteristics	Impact
Dead account	Does not exist or has been logged out, Telegram returns unregistered	Completely invalid, waste of sending costs
Ghost account	Not active since registration, no avatar, no information	Messages will not be read and may even trigger system restrictions
Mixed gender account	The gender field is “female” or is not set, but is mixed into the male list	Inaccurate targeting, resulting in low conversion rate
Account banned	Banned by the platform due to violation of regulations, unable to receive messages	Failed to send, frequent attempts may result in account ban

Typical sources of low-quality numbers include: public channel crawler data (outdated and not updated), third-party lists (without any verification), and packets that have never been filtered. Used directly to acquire customers, the cost is high and the return is low.

Be aware of source risks

Number lists obtained from public channels or crawlers usually contain a large number of invalid numbers and accounts without gender labelling. Direct use may result in high marketing costs. Decisions should be made after gender testing + activity screening.

Why might your collection of TG male numbers be “unreal”?

It is possible that only 20% of the “1 million TG male numbers” you bought from the Internet are real. Reason:

Uncontrollable source: The list of numbers captured by the crawler has a long update cycle and many numbers have expired.
Rough gender annotation: Most crawlers can only crawl numbers in public groups, and the gender of group members may not be reflected in the data; many lists are directly marked as “male” but are not actually tested.
Account Banned: A large number of Telegram accounts have been officially banned due to group posting behavior, even if they were previously valid.

In a sentence: number list ≠available data. You must pass screening and verification before entering the marketing link.

How to confirm whether a batch of numbers are “male” through gender testing?

To accurately screen out tg male numbers, the core tool is Telegram gender detection. Currently, many platforms (such as KKDATA) provide the “Telegram gender” detection item, which assists in determining gender based on the account’s public information (avatar, profile, username and possible birthday fields), and returns the following fields:

Gender: Male/Female/Unknown (returns “Unknown” when the profile is not set)
Age: A rough interval (such as “about 30 years old”), derived from the birthday filled in by the user (only when the birthday field is set); note that the age at the ID number level cannot be accurately determined based on this.
Avatar: If the account has an avatar, some tests will return the avatar address.

Field interpretation for gender detection

Field	Meaning	Usage suggestions
Gender	Male/Female/Unknown	Directly filter the target gender
Age (estimated)	About 20 years old, about 30 years old, etc.	Used for rough screening of the population, precise stratification is not recommended
tgid	Unique identifier	Can be used for deduplication or follow-up tracking

Practical operation: You only need to create a screening task in the KKDATA console and select “Telegram Gender” detection. The console will display the estimated cost and run it after confirmation. After the task is completed, export the results, filter the numbers with “gender=male”, and then proceed to the next step with other fields.

How to evaluate the “activity” of tg male numbers?

Activity determines whether a number has contact value. For a male who has opened a Telegram account, if he has never been online in the past year, his messages will be almost in vain. KKDATA provides “tg active” detection, which can specify the active window, for example:

Active in the last 7 days: Highly active, suitable for immediate reach marketing.
Active in the past 30 days: Moderately active, suitable for regular community invitations.
Active in the past 90 days: low threshold, suitable for long-term cultivation.

Best order: First use the gender test to screen out all male numbers, and then submit the “tg active” test for this batch of results. Or, check “tg activated + tg active + Telegram gender” at the same time in a one-time task to complete multi-dimensional detection at once, so that high-quality numbers with “gender = male + active = yes” can be directly screened out in the task results.

Practical steps to determine whether bulk tg male numbers are available (including checklist)

The following is a 5-step verification process that can be directly reused to ensure that the final number obtained is a high-quality male active number.

Step 1: Prepare number source

Existing number list: import CSV/TXT.
No List: Use KKDATA’s Global Number Generation feature to generate random numbers by target country (for free).
Number segment generation: Supports batch generation by number segment, and can also be customized for import.

Step 2: First Screening—Telegram Activation Detection

Submit the “tg activation” test to filter out unregistered numbers.
Export the results, retaining the numbers with “Open = Yes”.

Step 3: Multidimensional detection - gender + activity joint detection

For the valid number in step 2, submit the “tg active” (select the last 30 days) + “Telegram gender” joint test.
Can be submitted at one time to save the number of tasks.

Step 4: Export and Filter

Export CSV, filter in Excel or Python:
- Gender=male
- Active = Yes (last 30 days)
Optional: age field for group stratification (such as screening for men aged about 30 years old)
Deduplication: Use KKDATA’s data deduplication warehouse to avoid duplicate numbers occupying your balance.

Step 5: Sampling verification

Randomly select 100~200 numbers from the final results and manually send test messages (such as short greetings).
Statistical response rate: If the response rate is less than 10%, it is recommended to check whether the active window is too wide or there is a problem with the number source.

Best practice recommendations

For small batch numbers with less than 5,000 numbers, it is recommended to check the three tests of “tg activation + tg active + Telegram gender” at once to avoid repeated deductions. For large quantities (such as 100,000+), screening can be enabled first, and then subsequent testing of valid numbers can be performed to save costs.

Why does data deduplication affect the availability of tg male numbers?

You may import the same batch of numbers multiple times, resulting in duplicate detection. Consequences of repetition:

Waste of fee deduction: Repeating the test on the same number twice means spending twice as much money.
Interference statistics: Suppose you have 1,000 real male numbers, but repeatedly import 2,000 records. The resulting statistics may show “there are 3,000 males”, which greatly reduces the actual available number.

KKDATA’s built-in Data Deduplication Warehouse can automatically determine duplicates across tasks: when submitting a new task, the system will automatically filter out numbers that have already been detected (based on the combination of number + detection type), and no further fees will be deducted. It is recommended to use the deduplication function to clean the list before each import to improve efficiency.

How to use the KKDATA tool chain to efficiently complete filtering and export?

KKDATA provides a complete pipeline from “number generation → multi-dimensional filter number → deduplication → export”. The following takes console operation as an example:

Enter the console: Log in https://app.kkdata.cc/
Create task: Select “Telegram number screening” or “Global number screening”.
Set parameters:
- Country: Select the target market (such as Indonesia, Vietnam, Brazil, etc.)
- Number list: upload a file or use generated numbers
- Detection type: Check “tg activated” “tg active” “Telegram gender”
- Active window: select “Last 30 days” or “Last 7 days”
- Deduplication: Turn on “Enable data deduplication” (recommended)
Submit and wait: After the task is completed, a notification will be sent through the Telegram robot (requires binding in advance).
Export results: Click “Export” on the task details page to support exporting in CSV or TXT format. Fields include: number, activation status, active status, gender, tgid, age range, etc.

Subsequent use: The exported CSV can be directly imported into a CRM system, mass messaging tool or community operation platform.

FAQ

**Q: Can tg male number detection ensure that the number is actually used by a male? ** Answer: Gender detection is based on the public information of Telegram accounts. The accuracy is high but not 100%. There may be data for the same number without gender (returning “unknown”). It is recommended to make a comprehensive judgment based on activity and other fields (such as avatar and user name).

**Q: Only male numbers are screened out, but there is no activity data. Can it be used? ** A: Availability is low. Messages sent from male numbers that are inactive (for example, never online after registration) may be ignored or the account may be abandoned. It is recommended to use at least “active in the past 30 days” detection to increase the reach rate.

**Q: How many TG male numbers can be screened in one task? ** Answer: A single task supports up to about 1 million numbers. If you need to screen more tasks, you can submit them in multiple tasks. The corresponding balance will be consumed after each task is completed. The platform charges on a per-item basis, see the real-time price on the console for details.

**Q: Is the age field in gender detection accurate? Can it be used to accurately target people in their 30s? ** Answer: The age field comes from the birthday in the Telegram profile (can only be detected after filling it in). The accuracy is the estimated interval, not the precise age in the database. It can only be used for general population screening and is not recommended as the only basis for stratification.

**Q: How to export the filtered TG male number? What formats are supported? ** Answer: Supports export in CSV and TXT formats. Fields include number, activation status, active status, gender, tgid, etc. It can be downloaded from the console task details page. It can be imported into Excel or CRM system later.

After the above steps, you have mastered a set of reusable tg male number quality judgment methods. If you need to quickly screen out highly available male users in batches, you can directly use the KKDATA platform to complete the entire process.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Learn more: Official website https://kkdata.cc/ | Documentation https://docs.kkdata.cc/

Guide to judging the quality of TG male numbers: How to batch screen out highly available TG active male users

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