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TG filtering vs original numbers: Comprehensive comparison of quality, cost and access risk of numbers after TG filtering

tg filter contrast US data kkdata Number quality

tg过滤 vs 原始号码:TG筛号后的号码质量、成本与触达风险全面对比

In overseas customer acquisition, the number list is the starting point for reaching users. The “original number” you have on hand—whether collected from public sources, provided by a partner, or randomly generated—has not been verified in any way. tg filtering (TG filter number) uses a professional platform to detect whether the number has Telegram enabled, active status, gender and other fields, thereby filtering out high-quality numbers that can be marketed. This article will compare tg filter and original number from the three core dimensions of quality, cost, and reach risk to help you make more efficient number acquisition decisions.


What is tg filtering? What is the original number?

tg filtering (also called Telegram filtering, TG sifting) refers to the detection of a batch of mobile phone numbers with the help of sifting platforms (such as KK-DATA). Test content includes at least:

  • Whether to register for Telegram (i.e. “activate”)
  • Last active time (windows such as 7 days, 30 days, etc. can be specified)
  • User portrait fields such as gender and age (inferred based on public information)
  • Export identifiers such as tgid and wsid

过滤后的号码只保留符合条件(如“已开通+最近30天活跃+男性”)的条目,其余被剔除。

Original numbers refers to the list of numbers without any verification. Its source may be:

  • Large packages crawled or purchased
  • Generate random account segments (may include canceled accounts, empty accounts or non-Telegram users)
  • Uncleaned data left over from history

Only 10%-30% of the original numbers may be valid TG users, and the activity and gender cannot be determined.


What is the difference in quality between the tg filtered number and the original number?

Quality differences occur along three key dimensions.

Activity difference

Among the original numbers, a large number either have not registered with Telegram, or have been silent for a long time after registering (not online for more than half a year). Sending messages to these numbers will either fail (for non-TG users), be ignored or even reported.

tg filtering can set an active window, such as “online within the last 30 days.” Most of the filtered numbers have used Telegram in the past month, and the probability of seeing messages and clicking links after reaching them has increased significantly.

Gender and portrait accuracy

原始号码没有任何用户画像——你无法区分男女,也不知道对方大概年龄。 If the products you market are targeted at a specific gender (such as women’s beauty products) or a specific age group (such as working people in their 30s), blindly sending them will waste a lot of resources.

tg过滤中的Telegram性别检测,会输出性别(男性/女性/未知)和年龄字段(例如可筛选出约30岁人群)。 It should be noted that these data are based on inferences from public information and are not ID card-level accurate, but they are practical enough for crowd targeting. For example, you can filter numbers that are “female, aged 25-35 years old” and then conduct private message promotion.

Country and Carrier Validity

The original number may come from a country you did not intend to distribute, or may belong to an expired number range in that country. tg filtering can verify whether the number belongs to the target country and can currently receive verification messages (i.e., “validally activated”). Avoid sending text messages or messages to canceled numbers to reduce unnecessary costs.

Dimensiontg filtered numberOriginal number
ActivityCan filter active users within the specified windowA large number of silent or unregistered
Gender/AgeSupports targeting by gender and age fieldsNo user portrait
Country validityIt has been confirmed that it belongs to the target country and can receive messagesIt may belong to an invalid number range or has been canceled

Cost comparison: Is tg filtering really cheaper?

Many people think that “the original number is cheap, and every TG filter costs money”, so they choose the original number. But from the perspective of total expenditure (Total Cost), tg filtering is often more economical.

Note: The cost is subject to the real-time price of the console

Different platforms (Telegram/WhatsApp/Line, etc.) and detection types (activated/active/gender) have different unit prices. The estimated cost will be displayed before the task is submitted, and will be deducted on an item-by-item basis after the balance is recharged.

Single cost and invalid reach loss

Suppose you purchase 10,000 original numbers at a very low unit price (for example, 0.01 yuan each), and the total cost is 100 yuan. But the actual number of effective TG users may be only 30% (3,000 items). Send messages to another 7,000 invalid numbers:

  • Message sending fee (if you use SMS API or third-party channel) is wasted
  • Waste of manual script running time
  • More serious: A large number of failed messages can easily trigger Telegram risk control, resulting in the account being blocked (see the next chapter for details)

Although the unit price of tg filtering is higher than the original number purchase price (for example, 0.0x yuan for each activated detection), only 3,000 valid information may be retained for 10,000 numbers after filtering. Total cost = 100 yuan (original number purchase price) + testing fee (assuming 0.02 yuan/item × 10,000 items = 200 yuan) = 300 yuan. But your 300 yuan bought 3000 high-quality reachable numbers. If you send it directly with the original number, you will spend 100 yuan but get no effect (you may even be blocked). The actual “effective reach cost” is infinitely high.

Waste of duplicate numbers

The original numbers often come from multiple sources and may have substantial duplications with each other. If sent directly, the same number will be contacted multiple times, which will not only waste costs, but may also cause resentment among users. tg filtering cooperates with data deduplication warehouse (such as KK-DATA’s deduplication function), which can automatically remove the numbers that have been detected before detection to avoid repeated deductions.


Comparison of reach risks: How much can tg filtering reduce the account ban rate?

Telegram has strict risk control mechanisms for message sending. Core indicators include:

  • Failure rate: Sending messages to non-existent accounts has a high failure rate → marked as spam
  • Report Rate: The message content is not popular and users report it in large numbers
  • Behavior Pattern: Send to a large number of new numbers with no interaction records in a short period of time

The original number contains a large number of invalid users. If sent directly, the failure rate may exceed 60%, and the account will be restricted or banned within a few days. The numbers filtered by tg are all active TG users, and you can further filter out users with recent online behavior. The failure rate after sending is reduced to less than 5%, the behavior is closer to normal chat, and the probability of account ban is greatly reduced.

Risk warning: Beware of fake customer service

KK-DATA only provides customer service through the official Telegram account (@kkdata_cc) and two-way contact robot (@kkdata_robot). Anyone who actively asks for passwords or transfers through private messages is a scam, so please verify carefully.

Even if all the numbers are valid, the sending frequency and content quality still need to be paid attention to. tg filtering cannot completely eliminate the risk of account ban, but it allows you to focus the limited sending volume on high-possibility users and reduce the overall risk.


Which scenarios must use tg filtering?

Precise private message promotion

If you need to target gender, age, country, and activity level, the original number cannot satisfy it. For example, when promoting a men’s financial management app, you want to only reach users who are “male, 25-40 years old, and active in the last 15 days.” It is almost impossible to achieve this without TG filtering.

Industry orientation (such as B2B, e-commerce)

Certain industries require specific groups of people. For example, if a foreign trade company wants to reach Zalo users in Southeast Asia, it needs to screen for Vietnamese numbers that are “Zalo activated + active”. At this time, multi-platform filters must be used (for example, KK-DATA also supports Telegram, WhatsApp, Line, Zalo, etc.).

High value lead mining

When the potential value of each lead is high (such as corporate purchasing decision-makers), you are willing to pay a higher cost for each effective contact. tg filtering can ensure that every transmission hits the target accurately, rather than blindly sending in bulk.

Scenarios where original numbers can be tolerated

  • Very low budget and no requirements for account closure: For example, test a certain email landing page, send a batch at random to see the response.
  • Group broadcast notifications (such as community maintenance announcements): If users have subscribed to your channel, some of the original numbers may already be members of your community, but it is still recommended to use tg filtering to eliminate non-TG users.

How to choose the TG screening plan that suits you?

Decision-making process reference:

  1. Clear the target group profile: What gender do you want? What age group? What country? Activity required?
  2. Select filter dimensions:
    • Only need to enable detection: suitable for reaching all TG users, with the lowest cost
    • Open + active: suitable for scenarios that require recent interaction
    • Open + active + gender/age: suitable for precise targeted marketing
  3. Judge the platform: If you are only promoting within Telegram, use Telegram filtering; if you need cross-platform (WhatsApp, Line, Zalo, etc.), choose a tool that supports multi-platform one-stop filtering (such as KK-DATA).
  4. Comparison of costs: single filtering cost vs. losses caused by invalid reach (message fees, manpower, account ban costs). See the real-time price on the console for details.

KK-DATA supports all the above dimensions and can simultaneously detect multiple platforms such as Telegram, WhatsApp, Line, and Zalo in one task to avoid repeated uploads.


Common misunderstanding: Can the original number really save money?

Myth 1: “The original number price is low, so the total cost is low.” The actual effective access cost is much higher than that of the filtration solution. The waste of sending caused by invalid numbers, the cost of changing numbers after blocking, and the opportunity cost cannot be ignored.

Myth 2: “The original number is available at any time, no need to wait for filtering time.” It usually only takes a few minutes to dozens of minutes to filter a 100,000-entry task, but the time to prepare multiple backup accounts and respond to account suspensions is much longer than this.

Myth 3: “The original number does not require learning filtering tools, zero threshold.” Indeed, no tools are required to send directly. But once your account is banned, you need to renew your account, change equipment, and find a new agent. The learning cost is not low. The tg filter tool usually provides a clear control panel and can be used in a few minutes.


FAQ

**Q: Will tg filtering delete my original number file? ** Answer: No. tg filtering only detects the registration, activity and other status of the number and generates the result file (CSV/TXT). The original number can be kept as a backup. You can choose to export “only filtered numbers” in the KK-DATA console, and the original data will not be changed.

**Q: What is the accuracy of the gender field filtered by tg? ** Answer: The gender detection of tg filter is based on the user’s public display information and behavioral inference. It provides three categories: male/female/unknown, which can be used for crowd orientation, but it is not ID card-level accuracy. If you need more accurate gender judgment, it is recommended to combine other fields such as age, avatar, etc. for comprehensive screening.

**Q: Can the original number be used directly for Telegram private messages? ** Answer: Yes, but the risk is extremely high. A large number of original numbers may include non-TG users or canceled accounts. Sending messages to these numbers will be judged as spam by Telegram due to a high failure rate, resulting in the account being blocked. It is recommended to first remove invalid numbers through tg filtering and control the failure rate within a reasonable range.

**Q: How many numbers can tg filter process at one time? ** Answer: KK-DATA supports up to about 1 million numbers in a single task (actual is subject to the console limit), and supports the submission of multiple parallel tasks. For numbers exceeding 1 million, you can upload them in batches or contact customer service to adjust the quota.

**Q: How to calculate the cost of tg filtering? ** Answer: Billed by item, no subscription package. After recharging USDT (TRC20) to the balance, the corresponding platform detection fee will be deducted based on the actual number of detections after each task is completed. Please refer to the real-time display on the console for specific prices.


I hope this comparison can help you choose a more rational way to obtain your number. If you need to quickly start TG filtering, you can log in to the console to create a task; if you are not sure about the solution, you can contact customer service for professional advice through two-way communication.

👉Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot For more information, please visit the official website https://kkdata.cc/ or view Usage Documentation.

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