Complete strategy for screening large batches of tg male numbers: task splitting, budget control and practical skills

In the promotion of overseas customer acquisition and cross-border e-commerce, tg male number has become an indispensable resource for many teams due to its high activity and precise targeting capabilities. The so-called tg male number refers to the registered user number marked as “male” through Telegram gender detection. These users usually have a higher acceptance of male-oriented products (such as games, tools, finance, clothing, etc.), so they are widely used in private message promotion, community recruitment and brand exposure scenarios. However, when the size of the target numbers reaches the 50,000 to 1 million level, how to complete the screening efficiently and cost-effectively becomes a technical task.

This article will break down the screening strategy for large batches of tg male numbers one by one from task splitting, budget planning to actual processes. Whether you are coming into contact with screen numbers for the first time or want to optimize your existing process, you can find practical solutions.

What is a tg male number? Application scenarios of large batch screening numbers

tg male numbers specifically refer to numbers that have been registered on Telegram and are identified as male users through the platform’s gender detection function. This type of data usually contains the following core fields:

• User mobile phone number (desensitized or complete)
• Registration status (activated/not activated)
• Last active time (window can be specified, such as 7 days, 30 days)
• Gender (Male/Female/Unknown)
• Additional information such as age and avatar are available in some areas

Since the conversion rate of tg male users in e-commerce, games, financial technology, adult products and other fields is significantly higher than that of the general population, obtaining such numbers in large quantities has become a standard operation for overseas teams. Typical scenarios include:

• Men promote apps: For example, fitness, financial management, and dating apps need to send targeted private messages to TG male users
• Cross-border e-commerce test: Quickly verify market feedback for men’s products (such as e-cigarettes, men’s clothing, 3C accessories)
• Private domain traffic construction: Send community invitations to TG male users to accumulate a high-value user pool

The so-called “large batch” in practice usually refers to a single task containing 50,000 to 1 million numbers. When the number exceeds 1 million, batch operations are generally required, which is also the focus of this article.

Why do large batches of screen numbers need to be split into tasks? 3 costs of not splitting

Many novices will think that it is easiest to “submit 1 million numbers at once and export them after the results come out”, but the actual cost is often higher. Here are three key reasons:

Cost 1: Too much data in a single task can easily lead to timeout or failure.

Although the platform has an upper limit of about 1 million for processing a single task, when the number quality is uneven (a large number of invalid numbers, duplicate numbers), an overly large task package will increase the processing delay, and even cause task interruption due to resource constraints. After splitting, each subtask is smaller in size and has a higher success rate.

Price 2: One-time deduction from balance, difficult to control budget

When submitting large batches of tasks, the platform will withhold or deduct fees in real time based on the estimated number of detections. If the percentage of invalid numbers is too high, you’ll be paying for a large number of numbers that don’t work. After splitting, each batch of tasks will be deducted independently. If a certain batch is found to be of poor quality, the loss can be stopped in time.

Price 3: The abnormal number cannot be located, and the filtering results are difficult to correct.

Once all 1 million results are returned, if you find that some of the numbers are detected incorrectly (such as misjudgment of gender), it will be almost impossible to quickly find the problem batch. Split into groups of 50,000 to 100,000 records, and review and rerun are only for specific batches, significantly improving efficiency.

Golden rules for splitting large batches of tg male number tasks (with real cases)

Based on the above considerations, we summarized three practical splitting rules and demonstrated them step by step on the KK-DATA platform, using “screening out about 300,000 tg male numbers from 1 million numbers” as an example.

Rule 1: Split by quantity - no more than 100,000 items per batch

This is the most basic splitting method. Divide 1 million numbers evenly into 10 batches, each batch contains 100,000 numbers, and submit them in sequence. The benefits of doing this are:

• The time consumption of each batch of tasks can be controlled to avoid long waiting
• When a single batch fails, the impact range is only 100,000, not the entire 1 million
• Facilitates manual review of intermediate results and timely adjustment of strategies

Practical Suggestion: If the number source is random numbers generated by the national number generator, it is recommended that each batch be controlled within 50,000, because the effective proportion of random numbers may be low, and too large data packets will consume more balances.

Rule 2: Split by detection complexity—filter connectivity first, then gender

This is the key to saving money. Directly doing “tg gender” testing on 1 million numbers will be very expensive. A better approach is to do it in two steps:

1. Step one: First use the “tg activation” test (lower cost) to screen out the numbers that have been registered with Telegram. Assume that 600,000 activated numbers are screened out from 1 million.
2. Second step: Then conduct “tg gender” testing (higher cost) on the subscribed numbers in batches to screen out male users. Assuming about 40–50% of the 600,000 are male, we end up with 250,000–300,000 tg male numbers.

Each step still needs to be split internally by quantity (for example, the first step is divided into 10 batches, and the second step is divided into 6 batches). This saves the total cost by approximately 30%–50% compared to one-time direct gender screening.

Rule 3: Split by Country/Region – Prioritize Markets

The proportion of male TG users varies greatly in different countries. For example, the proportion of men in English-speaking countries such as the United States and the United Kingdom is usually higher than that in Southeast Asian countries. If you have numbers for multiple countries at the same time, it is recommended to separate them into independent tasks by country so that you can adjust the budget for different markets later.

• For example: filter US numbers separately and German numbers separately
• Each country is divided by quantity

In this way, the final exported results can be differentiated by region (such as pushing English content to American users and German content to German users).

The complete process from number generation to tg male number output

On the KK-DATA platform, you can generate random numbers from any country in the world (240+ countries/regions) for free, and then import the screen number module. The complete link is as follows:

1. Generate Number: Enter the “Number Generation” module of the console, select the target country (such as the United States), specify the number range, or use random generation to export a CSV file.
2. Import the first round of tasks: Create a new task in the filter module, select the “tg activation” test, import CSV, and submit the task (billing here is per item).
3. Download test results: After the task is completed, download the list of “activated” or “unactivated” numbers.
4. Second round of detection: Import the “activated” number list into a new task again, select “tg gender” detection, and specify the export fields (such as gender, age, tgid).
5. Export results: Export the CSV or TXT file according to the filter conditions (gender=male) to get the final tg male number.

There is no need to write code in the entire process, and the entire process is operated on the console interface. The real-time cost of each step will be displayed before submission, so you know what to expect.

How to cost-optimally plan large-volume tg male number tasks?

The core of cost control is “test first and then run”. Here is a replicable cost minimization process:

Stage	Operation	Purpose	Cost Estimate
1	Randomly select 5,000 numbers for “tg activation” + “tg gender” full testing	Calculate the proportion of males in the target country	Billed based on the number of tests (see the real-time price on the console for details)
2	Calculated based on sample results: If men account for 40%, 1 million numbers are expected to produce 400,000 tg male numbers	Estimated total volume and total budget	—
3	Divide 1 million items into 10 batches (100,000 per batch), first do “tg activation”	Filtering is invalid	Charge based on the number of detected items
4	Divide the “activated” numbers (about 600,000) into 6 batches, and do “tg gender” for each batch	Screen out males	Charge based on the number of tests
5	After exporting, use the data deduplication warehouse to check whether there are duplications to avoid waste in subsequent operations	Improve data quality	Free

Follow-up operations and deduplication of large batches of tg male numbers

After screening out hundreds of thousands of tg male numbers, the next step is usually an orderly operation. KK-DATA provides the Data Deduplication Warehouse function, which can summarize all task results and remove duplicates to avoid waste caused by repeated detection of the same number. In addition, the same batch of numbers can be reused across platforms:

• Perform gender detection on WhatsApp or Line on the same batch of numbers at the same time to obtain more dimensional user portraits
• The export format supports CSV and TXT, making it easy to import into various private messaging tools and CRM systems.

Note: Remember to check the “tgid” field when exporting. tgid is the unique identifier of a Telegram user and can be used for subsequent precise private messages or group invitations to avoid relying on mobile phone numbers.

FAQ

**Q: How accurate is the tg male number detection? Can age data be obtained simultaneously? ** Answer: KK-DATA’s tg gender detection is based on inference of background user public data and can be used to screen male user groups. The age field only appears in some detection results and can be confirmed by exporting the field in the console. It is currently not accurate to ID card level, but it is enough to meet marketing targeting needs.

**Q: How many numbers can be screened at a time? How many times do 1 million lines need to be split? ** Answer: The upper limit of a single screening task is approximately 1 million. It is recommended to use a group of 50,000-100,000 items in large batches, and 1 million items can be divided into batches of 10-20 for easy management and review. For the specific upper limit, please refer to the console task page prompts.

**Q: If I do the activation test first and then the gender test, will it cost more? ** Answer: Yes, fees will be deducted separately for the two-step testing. However, the cost of activating the test is lower than that of gender testing, and it can filter out a large number of invalid numbers in advance, which can save about 30%–50% of the overall cost. It is recommended to enable testing first.

**Q: Can a large batch of tasks be canceled midway after submission? How to refund the balance? ** Answer: After submitting the task, you can contact customer service to apply for cancellation. The number of completed tests will be deducted normally, and the untested parts will not be billed and will be returned to the balance. For specific policies, please refer to the platform description or contact customer service.

**Q: Can tg male number export tgid at the same time? What is it used for? ** Answer: Yes. Exporting tgid in the screening task can be used to send private messages or group invitations directly through tgid, without relying on mobile phone numbers, and it is more stable.

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If you are planning to get tg male numbers in bulk next time, you might as well try the above method. There are real-time expense reminders at every step in the console, giving you complete control over your budget.

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