tg Filtering Cost Control Guide: Coarse screening first and then fine screening strategy and detailed explanation of billing by item

What is tg filtering? Why does overseas marketing require Telegram number screening?

tg filtering (i.e. Telegram number filtering) refers to using technical means to batch detect whether a group of mobile phone numbers have registered with Telegram, whether they have been active recently, and identifiable gender/age and other characteristics. For overseas marketing teams, cross-border e-commerce independent website promoters, and Telegram community operators, tg filtering is a basic link in private message promotion, community recruitment, and agency operations to acquire customers.

The unfiltered number list is often mixed with a large number of invalid numbers (Telegram is not activated, empty numbers, downtime numbers). Directly sending mass messages to all numbers not only wastes resources, but may also result in account restrictions due to a large number of failed messages. Therefore, Telegram number filtering has become a necessary step: first extract the part of the original number that actually activates TG, and then conduct a more refined screening of the users who have already activated it, so as to ensure the effectiveness of subsequent contacts.

tg filtered cost model: How itemized billing affects your budget

Common TG filtering services adopt the per-item billing model, that is, the balance is deducted based on the actual number of detected numbers, and no prepaid subscription package is required. This model is especially friendly to small and medium-sized teams - you pay for what you use and there will be no idle costs. However, the key factor affecting the total cost is the price per test, and the unit price varies greatly under different test types:

Detection type	Description	Relative unit price (subject to the real-time price of the console)
Activation detection	Only verify whether the number has been registered with Telegram	Minimum
Activity detection	Determine whether the user has been online recently based on activation	Medium
Gender detection	Identify the user’s gender and age range (such as tg 30 years old data refers to the age field in the gender result)	Higher
Comprehensive detection	Select multiple fields such as activation + activity + gender + avatar at the same time	Highest (accumulated by multiple items)

You will understand after reading this table: the more fields checked in an inspection task, the higher the unit price. If all numbers are directly tested in a “large and comprehensive” manner, a large number of invalid numbers (unactivated) will also be charged based on advanced fields, resulting in a waste of budget. This is a common reason why costs get out of control in billing by item scenarios.

Core strategy: Coarse screening first and then fine screening - how to effectively control TG filtration costs

The core idea of controlling tg filtering costs is just one sentence: Only spend advanced detection fees on valid numbers. This needs to be achieved through a two-stage strategy of “coarse screening first and then fine screening”.

Coarse screening stage: only detect whether the number has Telegram enabled

Submit the original numbers (which may contain a large number of invalid numbers) to the “Activation Detection” task. The unit price for activating the detection is the lowest, and it can quickly filter out numbers that are not registered on Telegram. Typically, the activation rate of uncleaned global numbers is between 30% and 60% (depending on the region and source). After rough screening, what you get is a pure list of registered TG numbers.

Fine screening stage: Detect activity and gender of activated numbers

Use the list of activated numbers produced by coarse screening, submit the task again, and select “Activity Detection”, “Gender Detection” or other advanced fields in a targeted manner. The total number of numbers at this time has been greatly reduced, and even if the unit price is higher, the total cost is controlled within a reasonable range. For example, if you only need to target male users who have been active in the last 7 days, you can only check “active window (last 7 days) + gender (male)” in the fine screening stage.

Deduplication and export: avoid duplicate detection and waste of balances

If you have historical screening number results, before submitting a new task, you should use the Data Deduplication Warehouse function to compare the to-be-detected list with the numbers that have been detected. The platform will automatically skip numbers that have been detected to avoid repeated deductions. This is especially important for teams with long-term, multi-batch screening - the same number should not be deducted again when it appears in different tasks.

Practical guide: Perform coarse screening→fine screening tasks in the KK-DATA console

The following takes the KK-DATA platform as an example to show how to complete the two-stage screening in the console. The operation paths are all visual interfaces, no code is required.

Step 1: Create a rough screening task (only select Telegram to enable detection)

1. Log in to KK-DATA Console.
2. Enter the “Telegram Screen Number” module and upload your original number file (supports CSV and TXT formats).
3. In “Detection Type”, only check “Enable Detection” (some pages display “Register for Detection”), and cancel all other options.
4. Confirm the estimated task value (the console will display the estimated deduction amount) and submit the task.
5. Wait for the task to complete (usually a few minutes to ten minutes, depending on the quantity).

Step 2: Create a fine screening task based on the coarse screening results (select activity and gender)

1. After the coarse screening task is completed, select the number with the “Activated” status in the result list and export it as a new file (or directly use the system’s built-in “Result List → New Task” function).
2. Create a new task and upload the subscribed number file you just exported.
3. In “Detection Type”, check “Activity Detection” and/or “Gender Detection”. If you need to target recently active users, you can select “Last 7 Days”, “Last 30 Days”, etc. in the active window.
4. Double-check the estimated cost before submitting the task. The total number of numbers at this time is much lower than the original list, and the estimate is reasonable.
5. Submit the task and wait for completion.

Step 3: View task results, remove duplicates and export

1. After the fine screening task is completed, check the active identification, gender (male/female), age range (such as “30-39 years old”) and other fields of each number in the results.
2. You can filter out the target group according to your needs (for example: active + male gender + age 30 +), and then export it to CSV or TXT.
3. Before exporting, it is recommended to check the “Deduplication Warehouse” settings: confirm whether the number detected this time has been recorded by the previous task. KK-DATA’s data deduplication function will automatically match when the task is submitted, but you can manually clean it to ensure that the exported list has no duplicates.

More tips for controlling tg filtering costs

In addition to the core strategy of “first coarse and then fine”, the following techniques can also further reduce tg filtering costs:

• Take advantage of the free number generation function: KK-DATA provides random number generation services for 240+ countries/regions, completely free of charge. If you need numbers for a specific target market, you can use the generation module to obtain the original numbers before starting the tg filtering task. The quality of the generated numbers is affected by the random algorithm, but it can reduce the cost of manually collecting low-price numbers.
• Merging small tasks into one large task: A single number screening task supports up to about 1 million numbers. Consolidating multiple batches of scattered numbers into one large task can reduce the waiting and management costs of multiple submissions. At the same time, the unit price is usually independent of the task size (billing per item), but after merging, system resources can be used more efficiently.
• Enable task notification: After setting Telegram notification in the console, the task will be pushed in real time after completion. This avoids the need to re-submit the same number due to forgotten check results. Especially when the coarse screening results come out quickly, you can start the fine screening immediately, which will avoid a backlog of already opened numbers and reduce repeated processing.
• Reasonable selection of active windows: The shorter the active window (such as the last 7 days vs the last 90 days), the general unit price is slightly higher (because more frequent detection is required), but the users screened out are more accurate. Choose according to your marketing rhythm: if it is an immediate promotion, choose a short window; if it is to accumulate users in the medium and long term, it is more cost-effective to choose a long window.

Notes on tg filtering: avoid common mistakes

• Don’t check too many advanced fields at once: In order to “get it right in one step”, some users check all fields such as activation, activity, gender, age, avatar, etc. at the same time in the first task. This results in each number being deducted according to the highest combined unit price. If a high proportion of the original numbers are invalid, a large amount of balance will be wasted. The correct approach is to do it step by step.
• Note the upper limit for a single task: The maximum number of KK-DATA single screening tasks is about 1 million. If your original number exceeds 1 million, it needs to be split into multiple tasks. However, it is recommended to keep the coarse sieve and then combine the fine sieve when splitting to avoid duplication of work.
• Export results in a timely manner: The platform retains task results for a certain period of time (see the documentation for details). It is recommended to export the subscribed list immediately after the coarse screening is completed and submit the fine screening task to avoid the need to recheck after the results expire.
• Verify official contact information: KK-DATA only provides support through the customer service channels announced on the official website (such as two-way contact customer service robot). Do not believe in “discounted recharges” or “internal prices” from unofficial channels and beware of being deceived.

FAQ

**Q: What does “open detection” in tg filtering mean? Do you just check whether the number is registered with Telegram? ** Answer: Yes, activation detection is to verify whether a mobile phone number has been registered as a Telegram user and return “activated” or “not activated”. This is the most basic and lowest unit price detection type in TG filtering.

**Q: If I only do a rough screening (only test activation), will I miss those users who are activated but are actually zombie accounts? ** Answer: The coarse screen only determines whether you are registered or not, and cannot distinguish between active and inactive. This is where the fine screening stage (active detection) is necessary. You can conduct activity detection on “activated” numbers after rough screening, and only retain users who are truly online.

**Q: How do you know how much each task costs on the KK-DATA platform? ** Answer: Before submitting the task, the console will display the estimated cost in real time based on the detection type and number of numbers you selected. The actual deduction will be deducted from the balance after the task is completed, and the bill details can be viewed at any time. For specific unit prices, please see Billing Instructions Page.

**Q: I have multiple batches of numbers that need to be screened. How can I avoid wasting money by repeatedly testing the same batch of numbers? ** Answer: It is recommended to use the data deduplication warehouse function of KK-DATA. When submitting a new task, the system will automatically compare the numbers that have been detected and skip duplicates without deducting fees. You can also manually import a list of historical detection results to build a warehouse.

**Q: Can the data exported after tg filtering be used directly for private message promotion? ** Answer: Yes, but please make sure that the number you export is activated and active, and complies with the usage policy of the Telegram platform. Coarse screening + fine screening can help you greatly reduce the invalid reach rate, but the specific promotion strategy still needs to be carried out in compliance with regulations.

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The above is the core idea and practical method of tg filtration cost control. By rationally applying the strategy of “first coarse screening and then fine screening” and combining the advantages of billing by item, you can spend your budget wisely while ensuring the quality of your reach.

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