TG filtering common mistakes and pitfall avoidance guide: number format, detection sequence and result misreading

When doing TG filtering (Telegram number filtering), we often encounter the following situation: a large number of numbers are submitted, and the test report shows that a large number of them are invalid, or the gender data is seriously inconsistent with expectations. The problem usually lies in three places - Incorrect number format, confusing detection order, and misreading of results. This article combines the practical experience of the overseas marketing team to sort out the common “pits” in Telegram filtering to help you improve the accuracy of TG screening numbers and avoid wasting your balance.

Why is the number format error in TG filtering the most easily overlooked pitfall?

After getting the number list, many users directly copy and paste it and submit it for testing. As a result, a large number of numbers show “not activated” or “invalid format”. The problem often lies in the number format. Different platforms and tools have slightly different requirements for number formats, but TG filtering does not have a high tolerance for format errors.

How to deal with the ”+” sign and “00” in the number?

In KK-DATA, number input supports two formats: pure numbers (such as 8613800138000) or with ”+” sign (such as +8613800138000). However, mixing spaces, brackets, and dashes is not supported. Common error examples:

Wrong format	Correct format
+86 138 0013 8000	+8613800138000
008613800138000	8613800138000
13800138000 (country code missing)	+8613800138000
(86)13800138000	8613800138000

Mismatch between number digits and area code leads to misjudgment

Each country or region has a fixed number of digits. For example, Chinese mobile phone number: country code 86 + 11-digit mobile phone number = 13 digits (pure numbers). If you save “861380013800” with only 12 digits, or “86138001380000” with 14 digits, the detection system will directly determine it as an invalid number and will not consume the balance. However, these numbers will be excluded from the task, causing the real number you originally wanted to detect to be missed.

Best Practice: When sorting numbers, first use Excel or a script to group them by country code and check the standard number of digits in each country number. For example, the number in the United States (country code 1) is usually 11 digits (1+10 digits), and the number in India is 12 digits (91+10 digits). KK-DATA’s global number generation function can help you quickly obtain the correct number segment format, and directly export it to the screening task after generation.

What problems will occur if the order of TG filtering and detection is incorrect?

In order to save costs, many teams will skip “activation testing” and directly do “activity testing” or “gender testing”. This approach seems to save a step, but in fact it may lead to a large amount of wasted balance.

Do a gender test first? You could be wasting half your balance

Suppose you get 100,000 numbers from a certain channel, only 60% of them may actually be registered for Telegram. If you directly submit “gender detection” or “activity detection”, the system will perform detection on all 100,000 numbers, but 40,000 unactivated numbers do not exist in Telegram at all, and the detection results will return “no data” or “unknown”. The testing fee of 40,000 items will still be deducted, but it is of no value to you.

The correct sequence is: First do the “activation test” to screen out the real TG registration number; then do the “activity test” on the activated number; and finally do additional tests such as “gender/age” on active users. This way every deduction is spent on a valid number.

How does the active window affect filtering results?

The “time window” in activity detection is a common blind spot. For example, if you select “Active within 30 days”, the numbers you get are users who have logged in within the last 30 days; while selecting “Active within 90 days” will include more users, but with lower activity. For immediate marketing (such as sending promotional information), it is recommended to use a shorter window (30 days or 7 days); for brand exposure messages, a 90-day window may be more appropriate.

Note: The smaller the active window, the lower the number of numbers, but the user reach and response rates are usually higher. Don’t blindly pursue large quantities.

What are the common misunderstandings in Telegram filter results?

After getting the test report, many users will directly determine the value of the number based on the “gender” or “age” fields, but ignore the limitations of these fields.

Does “Age 30” really mean that the user has filled in their true age?

In the gender detection results of KK-DATA, the age field comes from device information or behavioral model inference, and is not filled in by the user. The accuracy is far lower than the ID card level. For example, a 30-year-old age field may mean that “the device or behavior pattern associated with this account tends to be people around 30 years old.” This does not guarantee that the user’s true age is 30 years old. When marketing, it is recommended to make a comprehensive judgment based on multiple fields such as gender, activity, avatar, username, etc., and do not rely solely on age for precise targeting.

Is the gender field “male” a real active user?

Gender analysis and activity status are independent detection dimensions. A number may be detected as “male”, but the activity detection result shows “inactive” (for example, it has not logged in for more than 90 days). This type of account is likely to be a “zombie account” and no one will reply after sending a private message. Correct approach: First confirm that the number has passed the activity detection (and the window meets your requirements), and then refer to the gender field for segmentation.

How to avoid wasting balance by repeated detection during batch TG filtering?

Many teams have multiple data sources on hand, and each time a task is submitted, it may contain a large number of duplicate numbers. If duplication is not removed, the same number will be detected multiple times, and the balance will be deducted each time. KK-DATA has a built-in data deduplication warehouse function: all numbers detected in historical tasks will be saved in a cross-task deduplication pool. When you submit a new task, the system will automatically skip the numbers already in the deduplication pool and no longer charge you repeatedly.

Usage Suggestions:

• On the “Data Deduplication” page of the console, you can manually import the historical number list and establish the basis for deduplication at one time.
• Before each execution of a new task, confirm that the “Enable deduplication” switch is turned on (it is turned on by default).
• If you wish to duplicate detection (e.g. re-validate activity), you can manually turn off deduplication.

What are the precautions after submitting the TG filtering task?

Submitting a task does not mean everything will be fine. The following details are often overlooked:

1. Check estimated fees: The console will display the estimated deduction amount before submitting the task. If the amount is much higher than expected, first check to see if the number or detection type is correct.
2. Follow task notifications: It is recommended to bind Telegram notifications (bind the customer service robot in the console settings). Large tasks can take anywhere from a few minutes to a few hours, with results pushed when completed.
3. Export results in a timely manner: The test results will be retained for a period of time, but it is recommended to export CSV or TXT immediately after completion to avoid data loss.
4. Insufficient Balance Processing: If the balance is insufficient to pay for the entire task, the system will not execute the task and will not deduct part of the fee. Make sure you have sufficient balance before submitting.

Summary of best practices for using TG screening tools

Organize the above pitfall avoidance points into an operation checklist and check it before each time you perform TG filtering:

• Number format: pure numbers, remove spaces, brackets, and dashes, and confirm that the country code matches the number of digits
• Detection order: first activated → then active → last gender/age
• Active window: select 30 days/90 days, etc. according to marketing goals
• Deduplication: Make sure to enable the data deduplication warehouse to avoid repeated deductions
• Preview fee: Check estimated amount before submitting
• Interpretation of results: The age field is an inferred value, and gender needs to be used in conjunction with activity level
• Export: download the results immediately after completion

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FAQ

Question: What is the difference between “open detection” and “active detection” in TG filtering?

Answer: The activation detection only determines whether the number has registered a Telegram account (that is, whether it exists); the activity detection determines whether the account has logged in within the specified time window. Only numbers that pass the activation test need to be actively tested, otherwise they will be directly judged as zombie numbers.

Question: The number I submitted contains two formats: “+86” and “86”. Will it affect the filtering results?

Answer: KK-DATA supports pure digital formats with ”+” and without ”+”, but it is recommended to unify them into the same format (pure numbers are recommended). If there are both “+86” and “86”, the system will parse it normally, but mixing other characters (such as spaces, brackets) will cause format errors. It’s best to clean it up with regular rules in advance.

Question: Why does the gender test result show that I am male, but my activity level is very low?

Answer: Gender detection and activity detection are two independent dimensions. Even if an account is identified as male, if it has not been logged in for a long time (for example, more than 90 days), the activity may still be very low. This type of account is not suitable for real-time marketing. It is recommended to only perform private message operations on highly active numbers.

Question: How many numbers can KK-DATA’s TG filter detect at most each time?

Answer: A single task supports up to about 1 million numbers. If the number is larger, it can be submitted in batches. Specific restrictions are subject to console prompts.

Question: When the balance is insufficient, how will unfinished tasks be handled?

Answer: If the balance is insufficient to cover the estimated cost of the entire task, the system will prompt that the balance is insufficient and the task will not be executed. You need to recharge USDT (TRC20, minimum about 50 USDT) before resubmitting. For details, please see official website billing page.

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If you are trying to acquire customers on Telegram, you might as well try KK-DATA’s TG filtering function. From number format cleaning to multi-dimensional filtering to result export, the efficiency has been significantly improved through a set of processes.

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