US TG Number Outbound Practical Manual: Screening, Stratification and List Management (2025 Edition)

US TG Number Outbound Practical Manual: Screening, Stratification and List Management (2025 Edition)

The U.S. market is a battleground for most overseas teams. Telegram’s user base in North America continues to rise. According to public data, monthly active users of Telegram in the United States have exceeded tens of millions. For B2B customer acquisition teams, US tg number represents a cost-effective access channel - compared with the low opening rate of email marketing and the high cost of LinkedIn InMail, the arrival and response rates of Telegram messages are often several times higher. However, the acquisition and verification of US Telegram numbers has long troubled the outbound team: the quality of the purchased data is uncontrollable, and manual testing efficiency is extremely low. Based on the actual capabilities of the KK-DATA screening platform, this article compiles a complete playbook from number generation, screening stratification to list management, to help overseas teams truly transform US TG numbers into accessible customer acquisition assets.

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Why is the US TG number a blue ocean for B2B customer acquisition?

The conversion bottleneck of traditional customer acquisition channels is becoming increasingly obvious: emails end up in the trash, and the call completion rate is less than 10%. As an instant messaging tool, Telegram has the following unique advantages:

• High message delivery rate: Users usually do not turn on the “anti-harassment” mode, and the text messages sent can quickly appear in the inbox.
• Low Block Rate: Telegram is more tolerant of outbound messages compared to SMS or WhatsApp’s strict anti-spam policies.
• Suitable for decision makers to reach: Many IT, blockchain, and cross-border e-commerce practitioners use Telegram as their main communication tool, and US Telegram numbers are often directly linked to business contacts.

According to industry experience, for a verified and active US TG number, the probability of generating a reply after first contact can reach 15%-30%, which is much higher than that of ordinary numbers. Therefore, mastering a systematic US customer acquisition number processing process is the key to improving outbound ROI.

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Comparison of how to obtain TG numbers in the United States: generation vs. collection vs. purchase

There are three common ways to obtain a US Cable Number, with huge differences in risk and cost:

Approach	Cost	Risk	Data Quality	Compliance
Number generation (number segment is random)	Free	Low	Medium (number screening required)	High (number is legal and empty)
Public channel collection (crawlers/mutual like groups)	Time and computing power	Medium (IP ban, legal risks)	Low (mixed with a large number of invalid accounts)	Medium (depends on the collection method)
Purchase second-hand account segments	Pay per item	High (repetition rate, privacy leakage, legal ambiguity)	Uncontrollable	Low (unknown source)

For outbound teams that continue to operate, it is recommended to use a combination of number generation + own data import.

Number generation: 240+ countries random/number segment generation (free)

KK-DATA’s “Global Number Generation” module supports batch generation of numbers by country, state, and number segment. The entire process is completely free. For example:

• Select the country “United States” and further specify the number of numbers (such as 100,000).
• Supports “number segment generation”: enter a specific area code (such as 212 New York, 310 Los Angeles) or number segment range.
• Support “CSV import”: upload internally accumulated numbers as the initial data pool.

The generated number can be directly used as a screening number source without additional purchase. This step is the starting point for building a high-quality US tg numbers list.

Avoid pitfalls: Why is it not recommended to buy second-hand numbers directly?

There are three common problems with second-hand US TG numbers:

• High duplication rate: Multiple buyers share the same data source, causing the team to repeatedly reach the same users, affecting brand reputation.
• Low repurchase rate: Account providers often resell numbers multiple times, and a large number of them are already “zombie accounts” or have been banned.
• Privacy Risk: Numbers from unknown sources may be involved in data leaks and violate regulations such as GDPR and CCPA.

Therefore, autonomous control of the entire link from generation to screening is a sustainable US customer acquisition strategy.

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Filtering and stratification: How to convert US TG numbers from “full quantity” to “reachable list”

In the original number pool, the numbers that are truly effective and suitable for outbound reach may only account for 20%–40%. Through three levels of screening, the quality of the list can be greatly improved.

First level: tg activation detection - remove non-registered numbers

Submit the task to the KK-DATA console and select the detection type as “Telegram activation”. The platform will detect whether the number is registered with Telegram. Typically for randomly generated US numbers, tg activation rates are between 30%–60%.

• Operation Points: It is recommended to run 10,000-20,000 tests for the first time to understand the quality of the target number segment.
• Cost Estimation: The console will display the estimated cost before submitting the task, and fees will be deducted on a per-item basis, with no hidden costs.

After the activation test is completed, a large number of invalid numbers can be eliminated, saving resources for subsequent activity and gender testing.

Second level: tg activity detection - locking in the recent online people

After the activation test passes, activity detection is performed on the remaining numbers. Active windows can be set (e.g. last 3 days, 7 days, 30 days). The shorter the window, the more active the number, but the smaller the number.

• Recommended Settings: For the first outbound reach, it is recommended to use a 7-day window to achieve a balance between activity and quantity.
• Data results: Exclude users who have not been online in the last 30 days to ensure that the contacted objects have the potential for immediate reply.

The third layer: Gender and age - accurately positioning the portrait of decision-makers

For B2B scenarios, it is often necessary to screen for males (a higher proportion of decision-makers) or a specific age group (such as 25–45 years old). The Telegram gender detection function provided by KK-DATA can also output the age field in addition to gender (based on public information and model inference, not identity authentication level).

• How ​​to use: Check the “Telegram Gender” detection type in the screening task, and the result export field contains gender, age.
• How ​​to interpret: The age field can help filter people around 30 years old, but it cannot be accurate to the ID card level. It has sufficient reference value for population stratification (such as young people/middle-aged people).

After three layers of screening, the list of US TG numbers you get includes: high-value reachable users who are activated and online in the last 7 days, and whose gender/age matches the target profile.

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List management: cross-task deduplication and classification export

US TG numbers generated in different batches may be duplicated, and repeated testing will waste the balance. KK-DATA’s “Data Deduplication Warehouse” function supports cross-task deduplication:

• Import the detected numbers into the deduplication warehouse.
• When submitting a new task later, the system automatically compares the warehouse to avoid repeated deductions for the same number.
• Supports exporting results by task, label, and filter number to CSV or TXT.

Recommended practices:

1. Set a unique label for each screening task (such as “US tg 7-day active men”).
2. After using the deduplication warehouse, you can merge all tags before exporting to get a master list after deduplication.
3. When exporting, only the target platform (Telegram), activated, active, and gender matching fields are retained to reduce file size and subsequent import costs.

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Comparison of real scenarios before and after: a one-week experiment by a CRM team going overseas

Before optimizing the outbound process, a medium-sized overseas CRM team (not a fictional real customer, just a typical scenario example) handwritten and imported about 50,000 US TG opening numbers (purchased from overseas forums) every week, and the results were:

• Opening rate: about 25% -Activity rate (online within 7 days): about 18%
• Effective reach rate (conversation generated after actual sending): 12%
• Waste of repeated testing every week: about 30% of numbers are duplicated

After adopting this Playbook, the team switched to the KK-DATA generation + screening process:

• Generate 100,000 random US numbers (for free).
• First-level activation test: 42,000 activated accounts were screened out (activation rate 42%).
• Second level active detection (7 days): retain 26,000 items.
• The third level of gender/age filtering: retains 18,000 entries (males 25–45 years old).
• After cleaning the deduplication warehouse, 16,000 unique numbers were finally output every week.
• Effective reach rate (reply/enquiry generated after sending): 41%

Please note: the actual effect varies depending on the industry, speaking skills, and the quality of the number segment, but the process of “generate → filter → layer → remove duplicates” has been verified to significantly improve the quality of the list.

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US tg number outbound common misunderstandings and suggestions

• Myth 1: The more numbers, the better A large number of unverified numbers will only lower the delivery rate and increase the risk of being flagged. It is recommended to prioritize improving the accuracy of the list.

• Myth 2: Gender detection is the same as true identity Gender and age are based on model inference. The accuracy depends on the sample size and cannot be used for ID card level verification. Please use the results as a hierarchical reference rather than as the sole basis.

• Myth 3: The smaller the activity window, the better Although the activity of choosing the 1-day window is extremely high, the number of numbers is very small and may not be enough to support bulk reach. It is recommended to start with 7 days and adjust the window based on response rates.

• Myth 4: Buy data once and use it for a long time Telegram numbers will change dynamically (cancel, change numbers), and it is recommended to re-check the existing list for activity on a regular basis (such as every quarter).

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From Numbers to Conversions: A Guide to Your Next Steps

The core steps of the above Playbook can be summarized as a repeatable pipeline:

1. Generate: Randomly generate or import US numbers in the KK-DATA console (free).
2. Filtering (Three Levels): Open → Active → Gender/Age.
3. Management: Use deduplication warehouse and export by label classification.
4. Reach: Import the high-quality list into your outbound tool (such as Telegram group sending system) and start the first wave of testing.

Don’t wait until your preparation is perfect to begin. It is recommended to go through the entire process with a small number (such as 10,000) today to experience the complete link from generation to reachability of US TG numbers.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For in-depth understanding, you can visit the official website https://kkdata.cc/ or read the detailed documentation https://docs.kkdata.cc/

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FAQ

**Q: How high is the activation rate of TG numbers in the United States? ** Answer: The activation rate varies depending on the source of the number segment. Usually the activation rate for randomly generated US number tg is between 30%–60%; if you use the historical numbers imported from your own CSV, the activation rate may be lower. It is recommended that the first batch of tasks run 10,000 to 20,000 tests to understand the quality of the target number segment.

**Q: What does the “active window” in tg active detection mean? ** Answer: The active window refers to the time range to determine whether a user has been “recently online”, such as the past 3 days, 7 days, or 30 days. The shorter the window, the higher the retention activity, but the fewer numbers that can be screened out. For outbound reach, it is recommended to select a 7-day window for initial screening, and subsequent adjustments can be made based on the response rate.

**Q: Are the gender test results accurate? Can it be used for precision marketing? ** Answer: Gender detection is based on Telegram’s public information and behavioral model inference, and is not the result of real-name authentication. The accuracy rate increases with the sample size and can be used for population stratification (such as male/female ratio), but it is not recommended as the sole basis for decision-making. The age field is also a reference value and can be used to filter for approximate age groups such as about 30 years old.

**Q: Do I need to pay to generate a US TG number? How is the cost of screening tasks calculated? ** Answer: Number generation (random/number segment/CSV import) is completely free. Only screening tests (such as activation/active/gender) are deducted based on the number of items. Different platforms and test types have different unit prices. The console will display the estimated cost before submitting the task. You pay for what you use. There is no subscription package.

**Q: Can a US TG number be tested repeatedly? ** Answer: Yes, but repeated deductions will occur. It is recommended to use the data deduplication warehouse function to store the detected numbers into the database, and automatically compare them before subsequent new tasks to avoid wasting balances. The deduplication warehouse supports cross-task query.

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Through the above Playbook, you can change the acquisition and verification of US TG Number from “metaphysics” to “science”. Log in to the console immediately and verify the effect of this process with real data. If you have any questions, contact the customer service bot directly for immediate response.