US TG data vs. original numbers: comprehensive comparison of quality, cost, and access risk (a must-read for overseas travel in 2025)

#US TG data vs. original numbers: Comprehensive comparison of quality, cost, and access risk (a must-read for overseas travel in 2025)

For any team engaged in overseas marketing of Telegram, US TG data and unprocessed “raw numbers” are two completely different starting points. Many operators will be attracted by the low price of the original number in the early stage, but ignore the hidden ineffective costs, risk of account suspension and extremely low conversion rate.

This article will conduct an in-depth comparison from the three core dimensions of number quality, screening cost, and reach risk to help you determine which solution is more suitable for the current customer acquisition stage. The article will also introduce how to efficiently convert original numbers into high-quality US Telegram data through KK-DATA.

What is “US TG data”? What is the fundamental difference from the original unfiltered number?

Before understanding the essential difference between the two, let us first define the two concepts.

• US TG data: refers to a collection of numbers exported after multiple filters such as Telegram activation detection (registration detection), activity detection, gender/age identification, etc. These numbers have been verified as Telegram users and have the specific attributes you need (e.g. recently online, specific gender). It is a kind of “processed data” with guaranteed quality.
• Original numbers: refers to numbers generated directly from the number segment generator, lists collected from various channels, expired inventories, etc. not verified by any social platform. These numbers may be empty, not registered with any application, or even banned numbers leaked from illegal channels.

There is only one core difference: Whether there is the key link of “screen number”.

Typical sources and screening process of US TG data

High-quality US TG data usually follows a “generate → verify → filter” pipeline.

1. Number generation: Generate a large number of US numbers through a global number generator (such as 240+ country number segment support provided by KK-DATA).
2. Activation detection: Call Telegram’s registration interface to detect whether these numbers actually have a Telegram account. This is the first and most important step in screening, and can directly eliminate more than 70% of invalid numbers.
3. Activity Screening: For the numbers that have been activated, further detect their last online time. You can specify active windows such as “last 24 hours” and “last 7 days” to ensure that the exported users have reach value.
4. Gender/Age Identification: Use Telegram public information or algorithm estimation to supplement fields such as gender and age (such as “about 30 years old”) for more precise crowd targeting.
5. Deduplication and Export: Use the data deduplication warehouse to avoid repeated detection and deduction of the same number, and finally export the available data in CSV or TXT format.

Common sources of raw numbers

• Batch generation of number segments: Use number rules to generate consecutive numbers. This approach has the lowest “bull’s-eye” because a large number of numbers have never been registered with Telegram.
• Historical Activity List: User mobile phone numbers collected in previous activities may contain a lot of old data that are invalid, canceled or changed numbers.
• Web crawl list: The quality of mobile phone numbers crawled from public websites and forums varies, and may contain a large number of marked risk numbers.

How big is the quality gap between US tg data and original numbers?

The quality gap is huge and almost determines the success or failure of a marketing campaign. The table below visually demonstrates the differences between the two in key indicators.

Indicators	US TG Screened Data	Raw Numbers
Telegram activation rate	60% – 90% (depending on the quality of the original number segment)	10% – 30%
Effective activity rate	You can specify the active window (such as ≥80% in the past 7 days)	Uncontrollable, a large number of zombie accounts that have not logged in for a long time
User authenticity	Can be judged through the gender/age field	Completely unknown and cannot be targeted
Reuse Value	High, can be reused for different activities	Very low, limited reuse value
Risk Control Risk	Low, high-risk numbers have been filtered out	High, including many complained or banned numbers

Comparison of activation rates: why 70% of the original numbers may be invalid?

This is simple because the vast majority of mobile numbers are not registered with Telegram. Especially in markets such as the United States and Southeast Asia, Telegram is not the dominant messaging software. If you directly use a list of 100,000 numbers generated based on the “+1” number segment, there is a high probability that the activation rate will only be 10% to 30%. This means you have 70,000 to 90,000 detection requests that are wasted, not only consuming API quota but also increasing processing costs.

Activity Dimension: Why can US TG screening data help you avoid “dead accounts”?

Many “opened” numbers are actually “dead” numbers. Some users only logged in once after registering and then abandoned their accounts. Sending messages to these users will not only result in no response, but may also be judged as invalid delivery by the system due to long-term inactivity.

Through activity filtering, we can filter out these users who have not been online for a long time. For example, through KK-DATA’s “Online in the past 7 days” detection, the proportion of active users in the exported data can reach more than 80%. This means that each of your messages has a higher probability of being seen by real people, rather than being delivered to the “data grave”.

Value of gender/age field: How to interpret tg 30-year-old data

In operations, we often refer to “tg 30-year-old data” or similar descriptions. This does not refer to a standalone product, but rather to the age field provided in the gender test results during the screening process. This field is usually derived from a user’s own birthdate in their Telegram profile or an algorithmic estimate.

**How ​​to interpret it correctly? **

• It is not identity information: It is far less accurate than ID card or bank verification. It is an “approximation” or “trend” data.
• For targeting, not absolute filtering: For example, if you want to promote financial or educational products suitable for 30-year-olds, you can filter out users whose “age field is displayed between 28-35” from the filter results. This can significantly improve ad/direct message matching, but don’t take it as an absolute basis.

US TG data vs raw numbers: What is the reasonable cost?

Many novices only look at the “unit price”. The original number may be as low as a few yuan for 10,000 pieces, but the screened US TG data is charged on a per-item basis, which seems much more expensive on the surface. But total cost of ownership is key.

We introduce a concept: cost per effective reach (CPA).

• Original Number Plan:

  • Assumption: Buy 100,000 original numbers, assuming the unit price is extremely low (such as free or a few yuan).
  • Opening rate: 20%.
  • Effective reach: 20,000 (20,000 actual deliveries to activated users).
  • Assumed successful reach rate (activity): 50% (because the other part is zombie accounts).
  • Final effective reach: 10,000.
  • Calculation: Even if the number is free, you have invested time, API resources, and account risk control risks, resulting in a CPA that is not low. Not to mention the cost of account change caused by account ban.

• US TG Data Plan:

  • Assumption: The same 100,000 numbers will cost a certain amount of money after screening.
  • Finally obtained: 15,000 pieces of high-quality data (meeting the conditions of “active + specific gender”).
  • Final effective reach: 15,000 (because the activity is very high).
  • CPA = screening fee / 15,000. This number will usually be significantly lower than the original number plan.

Conclusion: **Don’t just look at the front-end purchase price, but also calculate the effective back-end reach cost. ** The screening cost invested in US TG data can usually be easily earned back through high conversion rate and low risk.

What are the three major risks of using the original number directly for Telegram marketing?

Directly using unfiltered original numbers to send batches of private messages or group messages is a typical behavior of “picking up sesame seeds and losing watermelon”, which mainly faces three major risks:

1. Account security risk (banned): Telegram’s anti-spam mechanism is very powerful. When you send messages to a large number of invalid, complained, and banned numbers, your sending number will be identified as a “spam sender” by the system, resulting in account ban. If your group owner account is blocked, it means that the user assets of the entire group may be wiped out.
2. User Complaints and User Complaints: A large number of users will feel disgusted when receiving inexplicable private messages and directly click “Report”. If a certain number of reports are accumulated, Telegram may even ban your entire application or IP.
3. Waste of API quotas and resources: Many teams use API or RPA tools to automate operations. When you send messages to a large number of invalid numbers, it will consume valuable API concurrency quota or RPA’s simulated resources, causing the system to run slowly, and real valid users will be sent slower.

In what scenarios should US TG data be used? In what scenarios can I try the original number?

There is no absolute good or bad, the choice depends on your goals.

Recommended scenarios for using US Telegram data:

• Accurate conversion: Products with high customer unit prices (such as SaaS, finance, education courses) require low-cost and accurate access.
• Targeted Marketing: Need to promote to a specific gender, age or group of people (such as beauty, games).
• Long-term stable operation: You want to build a high-quality vertical community and don’t want to cause a lot of negative feedback.
• Enterprise-level customer acquisition: You need a stable and reproducible customer acquisition process, and you don’t want your business to be interrupted due to account closure.

Very few scenarios where original numbers may be considered:

• Low Budget Test: You only have a very small budget (for example, a few hundred yuan), and you don’t pursue results, you just want to “try your luck.” But please note that this “luck” often comes with the risk of account closure.
• Non-demanding reach: You only need a large number of clicks from “potential users” and don’t care whether they are real.
• Willing to take losses: You have prepared an alternative to being banned and can quickly rebuild your account.

How to obtain high-quality US tg data? Introduction to KK-DATA screening scheme

If you decide to use high-quality data, KK-DATA provides a complete and efficient path. It is a customer data screening platform, and its core function is to help you convert original numbers into verified US TG data.

Main workflow:

1. Generate: Use the platform’s “Global Number Generation” module to generate number segments for 240+ countries for free, including various number segments in the United States.
2. Filtering: Import the generated numbers into the screening task, select Telegram screening, and check the required detection type:
   • tg activation: Filter out numbers that are not registered on Telegram.
   • tg active: Specify the active window (such as 24 hours, 7 days).
   • Telegram Gender Data: Get gender, age and other field information.
3. Duplication removal and export: The system automatically removes duplicates. After completing the filtering, you can export a CSV file containing fields such as tgid, activation status, activity, gender, etc.

Other advantages of KK-DATA:

• No subscription packages, pay per item: Pay what you use, no hidden monthly or annual fees. You can see the estimated cost before submitting the task, so you are safe.
• USDT Anonymous Deposit: Supports TRC20 to deposit USDT, fast payment, and privacy protection.
• Data Deduplication Warehouse: Deduplication across tasks to prevent repeated deductions for the same number.
• Multi-platform support: In addition to Telegram, it also supports cross-platform accounts such as WhatsApp, Line, Zalo, and iMessage.

Summary: US tg data and raw numbers, your choice depends on the target

Summarize your selection strategy in one sentence: **Pursue high-efficiency, low-risk, and replicable customer acquisition, and choose screened U.S. TG data; if you have an extremely tight budget and are willing to bear the high risk of account closure, you can try the original number. ** However, as a professional operator, we strongly recommend that you give priority to testing the screening plan with a low cost to experience the difference in “effective reach cost” before deciding whether to launch in batches.

FAQ

Question: What does “tg 30-year-old data” in the US tg data mean? Can I get the exact age?

Answer: “tg 30-year-old data” usually refers to the age field in the Telegram screening results. This field comes from the personal information filled in by the user or algorithm estimation, and is not the precise age at the ID card level. It can help operators screen out people “about 30 years old” for targeted promotion, but it cannot be used as absolute evidence of age.

Question: What is the typical activation rate of TG data in the United States?

A: It depends on the source of the original number. If you use the global number generator or batch import of number segments, after tg activation detection, the activation rate of US Telegram data is usually between 60% and 90% (specifically affected by the quality of the number segments). The activation rate of unscreened original numbers may only be 10%–30%.

Question: If I use the original number for Telegram promotion, will the account ban be more serious?

Answer: Yes. The original numbers include a large number of canceled, frozen or reported numbers. Sending messages to these numbers can easily trigger Telegram’s anti-spam mechanism, resulting in the account being sent being blocked or the group being restricted. Using US TG data to filter out invalid and inactive users in advance can significantly reduce the risk of account suspension.

Question: How to calculate the screening fee of KK-DATA? Is there a monthly package?

Answer: KK-DATA does not have a subscription package and adopts a pay-per-item model. After the USDT balance is charged, the corresponding number of fees will be deducted from the balance each time the task is completed. Different platforms (Telegram, WhatsApp, Line, etc.) and different detection types (activation only, activity level, gender, etc.) have different unit prices. For specific prices, please log in to the console to view real-time quotes.

Question: I have a batch of original numbers. Can I directly import KK-DATA to filter them into US tg data?

Answer: Yes. You can upload a CSV number list in the KK-DATA console, select the “Telegram Screening” task, and set the detection type you need (such as activated + active + gender), and the system will automatically filter and export the results. It also supports the global number generation module to generate numbers in batches before entering the number screening process.

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**Start your journey of efficient customer acquisition! **

• Log in to the console to start filtering → https://app.kkdata.cc/
• If you have any questions, you can directly contact customer service through the official robot → https://t.me/kkdata_robot
• To learn more about product capabilities, please check the official website https://kkdata.cc/ and usage documentation https://docs.kkdata.cc/