Guide to avoiding pitfalls in US TG numbers: 5 common mistakes and correct detection methods

When going overseas to acquire customers, many teams will set their sights on the North American market, and the US TG number (that is, the Telegram registered account starting with the +1 area code) is a resource that almost everyone who does cross-border community operations and private message promotion will have access to. However, in actual operation, many people have encountered pitfalls when screening, testing, and using these numbers: either the format is incorrect, causing the detection to fail, or they misjudge the difference between “activated” and “active,” which wastes their budget.

This article sorts out the 5 most common mistakes in using US Telegram numbers, and provides a reusable detection method combined with the KK-DATA sieve number platform. If you are a practitioner of cross-border e-commerce, independent website promotion or community operations, this article can help you save testing time and improve customer acquisition efficiency.

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What is a US TG number? Why is it so common when acquiring customers overseas?

The so-called US tg number refers to a mobile phone number starting with the US country code +1, and the number has already registered an account on Telegram. These numbers mainly come from mobile phone numbers in the United States, or Telegram accounts registered through American IPs.

In B2B SaaS or cross-border e-commerce scenarios, the value of the US TG number is reflected in:

• Concentrated target users: The North American market has high user activity, and Telegram penetration continues to increase, especially in business and technology communities.
• Loose privacy settings: Compared with some regions, Telegram privacy settings for US users are relatively open, and some accounts allow searching by mobile phone number.
• Directly Reachable: A number verified as “activated” means that the other party has at least an active Telegram account, which can be used for subsequent private messages or group invitations.

However, it should be noted that not all numbers starting with +1 are American numbers - Canada also shares the +1 area code, so the place of origin needs to be further confirmed when screening (will be discussed later).

Without launching into an evaluation, the focus of this article is: How ​​to correctly obtain, detect, and screen these U.S. TG numbers to avoid common inefficiencies or incorrect operations.

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Common mistake 1: Incorrect number format causes all detection to fail

After receiving a batch of numbers, many users directly copy and paste them into the number screening tool, only to find that a large number of test results show “not activated” or “invalid”. Looking back, 90% of the reasons were number format errors.

Why does the format error cause the detection tool to misjudge the number as an invalid number?

Telegram’s registration detection tool parses numbers according to international standard formats. Common formatting errors include:

• Missing Country Code: Just write “1234567890” without the “+1” prefix.
• Excess delimiters: dashes (-), spaces, brackets are left in the number, such as +1 (555) 123-4567.
• Incorrect digits: US numbers are 10 digits (excluding country code), but some users have mixed in a short number or extension number other than the area code.
• Contains letters or special characters: Numbers copied from Excel may have prefixes and memo characters.

What does the correct US TG number format look like (example)

Correct format: +1 followed by 10 digits, no spaces or hyphens.

Wrong format	Correct format
1234567890	+11234567890
+1 (555) 123-4567	+15551234567
1-555-123-4567	+15551234567
+15551234567 ext. 100	+15551234567

Quick checking and format correction skills (Excel/text replacement)

If you have a batch of numbers to be tested on hand, it is recommended to perform three steps of pre-processing:

1. Remove non-numeric characters: Use =SUBSTITUTE(SUBSTITUTE(A1,"-","")," ","") or regular replacement in Excel.
2. Add the country code uniformly: If the number only has 10 digits, add +1 at the beginning.
3. Remove duplicates and blank rows: Make sure each piece of data has its own row.

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Common mistake 2: Reverse the detection order, filter first and then generate

Many users get a batch of numbers and directly enter the number screening system, hoping to detect all available TG accounts. But if the batch of numbers itself is a randomly generated number segment (rather than a real exported target list), direct detection is equivalent to “finding a needle in a haystack” - not only takes a long time, but also consumes the balance quickly.

The correct approach is: First generate or summarize numbers according to the target market, and then conduct batch testing.

When do I need to generate a number before testing?

Applicable scenarios include but are not limited to:

• You don’t have any existing list of numbers, but you do know a range of numbers for the target region (such as the United States).
• You need a batch of numbers in a specific area code (such as California, New York) for initial testing.
• You want to add new number segments regularly to keep the account list fresh.

In these cases, using the Global Number Generation feature is more efficient than filtering numbers directly.

How does the KK-DATA platform implement the “Generation → Screening → Deduplication” pipeline

In the KK-DATA console (https://app.kkdata.cc/), you can do this:

1. Generate numbers: Select the country as United States (+1), specify the target number segment or custom area code, and the system will generate a batch of random numbers that comply with the rules.
2. Import Test: Submit the generated number to the screening task at one time, and select “tg activation” test.
3. Automatic deduplication: After the detection is completed, the system will automatically compare historical tasks and eliminate duplicate detected numbers to avoid secondary deductions.

This process of “first generating, then screening, and then deduplication” saves about 30%-50% of the testing cost (depending on the scale of the task) compared with the traditional method of “first screening one batch, then screening another batch”.

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Common mistake 3: Treating “activated” as “active”, resulting in invalid contact

This is a common misunderstanding among overseas private messages: thinking that if a number with “TG activation” is detected, the other party will be able to be reached immediately. However, “open” and “active” are two completely different states.

What can the “tg activation” test tell you?

• tg activated: It means that the mobile phone number has been registered on the Telegram platform, and the account status is normal (not blocked or expired). You can search for the user by mobile phone number, but you are not sure whether the other person has used Telegram recently.
• tg active: Indicates that the other party has logged into Telegram within the specified time window (such as the past 7 days, 30 days). This means that the other party is a “live” user and is more likely to reply to the message or join the group.

Comparison table:

Detection Type	Meaning	Usage Recommendations
Activation	Already registered with Telegram, may not have logged in for a long time	Suitable for sending one-time notifications and invitations to join groups (not seeking immediate replies)
Active (7 days)	Login behavior in the past 7 days	Suitable for private message contact, community invitations, product promotion (recommended)
Active (30 days)	Login behavior in the past 30 days	Suitable for slightly looser reach scenarios, taking into account both scope and quality

How to use “tg active” data to improve private message reply rate?

In the KK-DATA filter task, you can specify the “tg active” window (e.g. within 7 days) in the detection options. The number screened out in this way is likely to be a long-term user of Telegram, and the willingness to reply to your private messages and the open rate will be significantly improved. Compared with the strategy of mass-sending after full-volume detection is “activated” and screening “active” before sending, the response rate can usually be doubled (empirical data, which varies by product).

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Common Mistake 4: Misreading gender/age fields, over-targeting

Platforms such as KK-DATA will return some extended fields, such as gender, age, etc. after the Telegram filter is completed. Some users will regard these fields as the basis for precise targeting and directly filter by age or gender - this is worthy of caution.

Accuracy and limitations of gender detection

Telegram’s gender recognition is not derived from ID cards or official databases, but is inferred through a probability model based on the user’s nickname, avatar, public information, and some third-party cross data. Therefore:

• Limited Accuracy: For accounts with obviously ambiguous nicknames and avatars of landscapes/animals/cartoon characters, the gender field may be empty or the result of random guessing.
• The age field is a range value: For example, “around 30 years old” usually represents an age group (such as between 25-35), rather than being precise to a specific age.
• Cannot be used in sensitive scenarios: Do not use it as bank-level real-name data.

Correct usage

Treat gender/age fields as probabilistic references rather than absolute orientations. For example:

• Make cross-judgments based on other dimensions (such as whether the account avatar is a real person photo, recent activity).
• If the target group is “men around 30 years old”, you can first use the gender field to screen out a batch of candidates, and then do a second confirmation based on activity level and account type (such as whether it is associated with a social account).
• Don’t rely entirely on a single field for precise targeted delivery.

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Common Mistake Five: Failure to remove duplicates across tasks, resulting in repeated deductions

This is a hidden cost that many small and medium-sized teams easily overlook. Suppose you run a “tg activation” test every week, but there may be overlap between each batch of numbers. If you don’t take the initiative to remove duplicates, the same number will be tested multiple times and deducted multiple times - equivalent to spending a lot of money two or three times to get the same result.

The meaning of deduplication warehouse

KK-DATA has a built-in data deduplication warehouse, which will automatically record all the numbers you have tested in history and their results. When you submit a new task, the system will automatically skip numbers that have been recorded in the warehouse and whose test results already exist. This means:

• Avoid repeated charges: The same number will not incur a second charge.
• Save task time: Skip detected items, reduce task size and complete faster.
• Maintain data consistency: No confusion when querying results across tasks.

Operation suggestions

Before submitting a new number screening task each time, first use the “duplication removal” function (usually optional on the number import page). If the system prompts “xx numbers already exist in historical tasks and have been automatically excluded”, it means that this part will no longer be billed.

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Summary of pitfall avoidance: a reusable US TG number detection process

Based on the above experience, it is recommended that the overseas operation team follow the following process:

1. Format preprocessing: All numbers are unified into +1xxxxxxxxxx pure numeric format, and spaces/hyphens/brackets are removed.
2. Number generation or summary: If there is no ready-made list, start global number generation (select the country as United States).
3. Select test type: Prioritize “tg activation” quick verification; add “tg active (7 days)” when a high response rate is required.
4. Enable deduplication function: Confirm that the data deduplication warehouse has been enabled before submitting to avoid repeated deductions.
5. Export and double-confirm: After exporting the results, if sensitive targeting is involved, the gender/age fields can be cross-validated.

CHECKLIST:

• Is the number format +1 plus 10 digits?
• Have you confirmed the country/area code ownership in the KK-DATA console?
• Is this detection type “activated” or “active”?
• Is the deduplication warehouse enabled?
• Are the gender/age fields used for reference only?

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FAQ

**Q: How long does it take to test a US TG number? ** Answer: The detection time depends on the task volume and platform load. Taking KK-DATA as an example, the maximum number of items at a time is about 1 million. Normal-scale tasks (such as 10,000-20,000 items) are usually completed within tens of minutes, and real-time progress can be viewed on the console. The specific time is subject to the actual operating speed.

**Q: Will the detected “tg activated” number be able to be searched for the other party on Telegram? ** Answer: Basically yes. “TG activated” means that the mobile phone number has been registered in Telegram and is in normal status. Searching for the username or mobile phone number can locate the account. However, if the user turns off the privacy setting of “Search by mobile phone number”, it cannot be directly searched - this needs to be judged in conjunction with other attributes.

**Q: Under what circumstances will it be detected that “not activated” but the number itself is a real US mobile phone number? ** Answer: Common reasons: the number has never been registered with Telegram, it has been recycled after not logging in for more than 6 months after registration, or the number format is input incorrectly. It is recommended to first confirm that the format is correct. If it still shows that it is not activated, then the number is indeed not associated with any Telegram account.

**Q: Does the “Global Number Generation” function on KK-DATA generate real and usable numbers? ** Answer: What is generated is a random number that conforms to the number segment rules of each country and is used for subsequent screening number detection. The generation itself is free, and the generated number has not been verified by Telegram registration, so it may not be a real number in use. You need to pass the “tg activation” test to know which accounts are registered.

**Q: I only want to be in the United States. How can I filter out the numbers that really belong to the United States? ** Answer: Two methods: ① Use the “Global Number Generation” function of KK-DATA to select the country as “United States (+1)” to obtain the US number segment; ② After importing the existing number, check the country affiliation in the number screening task (automatic identification based on the area code). Note that although some numbers start with +1, they may belong to Canada. Please refer to the document for the specific area code range.

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The above are 5 common misunderstandings and corresponding solutions when using US TG numbers. If you are building your own customer acquisition funnel, you may wish to incorporate this process into your team SOP. If you need practical operation, you can directly 👉 log in to the console to start filtering, or contact customer service https://t.me/kkdata_robot for technical questions.

For more details, please see KK-DATA official website and Usage Documentation.