US TG male data vs original numbers: a comprehensive comparison of quality, cost and exposure risk

#US tg male data vs original numbers: a comprehensive comparison of quality, cost and reach risk

In cross-border e-commerce and overseas B2B marketing, US tg male data is often regarded as a high-value customer acquisition resource. However, many teams purchased the “Millions of American Male Number Packs” during the actual launch. As a result, many failed to send the numbers and their accounts were blocked. In the end, it was discovered that these data were only unverified original numbers. This article will make an in-depth comparison of the essential differences between the two types of data from the five dimensions of number activation rate, activity, gender accuracy, acquisition cost and reach risk, and provide practical screening suggestions based on the KK-DATA platform.

What is US TG male data?

“US TG male data” is not a simple collection of numbers, but high-quality data that has been tested and confirmed by the Telegram social screening tool and meets the following conditions:

Activation detection: The number has been registered with Telegram and is a valid user.
Activity Detection: Users have logged in or been active within a specified period of time (such as the last 7 days, 30 days).
Gender Identification: Infer that the user’s gender is male through Telegram’s public information (nickname, avatar, profile description, etc.).
Additional fields: Some platforms can export tgid, age range and other information for further precise positioning.

To put it simply, this is a list of “fine ingredients” that have been processed by the **screen number assembly line, not the “raw ingredients” that were originally collected.

Scenario example: A certain overseas tool app wants to promote American men. It uses the KK-DATA platform to upload a batch of American number segments. Through the number screening task, it gets about 300,000 pieces of “open+active+male” data. Then it exports the tgid and cooperates with the private message tool for targeted sending.

What is an unfiltered raw number?

Original numbers usually refer to a list of numbers that have not been verified by any Telegram platform. Common sources include:

Random number segment generation: Generated in batches according to US number segment rules (such as +1-xxx-xxx-xxxx), completely random.
Public web page collection: Phone numbers extracted from public pages such as social media, forums, comment areas, etc.
Old data package: An expired database several years ago that has been replaced or shut down by the user.

The core characteristics of this type of data are that there is no verification and no cleaning, and it is mixed with a large number of invalid accounts, non-U.S. accounts, discontinued accounts, female or unknown gender accounts, and even non-Telegram user numbers.

Beware of the “monthly data” trap

Many sellers peddle “millions of American men’s numbers” that are actually original, unverified numbers. Without Telegram opening the test, more than 70% may not be reachable, and the gender information is unfounded. It is recommended to use the screening tool for inspection before use.

Quality comparison: activation rate, activity and gender accuracy

Difference in activation rate - waste of invalid numbers

Data type	Typical activation rate	Description
Original number	10%–30%	A large number of invalid numbers, failed immediately after sending
American TG male data	≥95%	Passed Telegram registration and testing, basically guaranteed to be valid

Among the original numbers, a large number may have never been registered on Telegram or may even be empty. After sending, you not only waste your message quota, but may also trigger platform restrictions due to invalid sending. Almost every piece of filtered data can be accessed, and the efficiency varies greatly.

Activity detection-reach is the key

It is not enough to activate it. Whether the user is active or not directly affects the response rate. The original number does not have any active information, and the message you sent may be sent to an account that has not been logged in for several months. The US tg male data supports specifying active windows (such as “active in the last 7 days”) to ensure that recent online users are reached and increase the open rate and interaction rate.

Best Practice: When submitting a number screening task in the KK-DATA platform, it is recommended to select “Last 7 Days” or “Last 30 Days” for activity level. The private message response rate for subsequent exported numbers will be significantly higher than a list without active screening.

Gender field reliability - targeting male users

The “male” label for the original number is mostly guesswork or even completely wrong. For example, some data packets directly label numbers with common male names in the United States as “male”, but the actual user may be a female or a company number. The gender field of US tg male data comes from Telegram public information analysis (nickname, avatar, personal information, etc.). Although it is not equal to the accuracy of the ID card (see FAQ below), it has a high reference value for marketing targeting - the misjudgment rate is usually less than 10%.

Case Comparison: A game company used the original “American Male Number” package to launch, and sent 1,000 messages, only 400 of which arrived, and nearly half of the replies came from female or unknown gender users. After switching to the filtered US TG male data, the arrival rate exceeded 95%, and men accounted for more than 90%.

Cost comparison: instant price and hidden losses

The “Free” Trap of Original Numbers

On the surface, the cost of obtaining the original number is very low (or even free), but the hidden costs are staggering:

Invalid sending waste: Each sending consumes message quota or points. The more invalid numbers, the more waste.
Account ban risk: After a large number of invalid numbers are recalled, Telegram may determine it as “batch harassment”, resulting in temporary or permanent account ban.
Man-hour cleanup cost: Manually clearing invalid numbers, querying the cause of failure, requeuing and retrying, consumes a lot of operating time.

Hidden cost items	Raw numbers	US TG male data
Single sending cost (based on 100,000 messages)	Invalid numbers account for 70%, and only 30,000 messages are actually reached	Valid numbers ≥95%, reaching about 95,000 messages
Probability of account ban	High (due to invalid sending + large number of reports)	Low (low resentment of effective users)
Subsequent cleanup time	Manual verification of failure list required	Almost no cleanup required

Cost-effectiveness analysis of filtered data

KK-DATA adopts the per-item billing model: there is no subscription package, and the balance after recharging USDT (TRC20) will be deducted according to the number of tests. Although there is a certain fee for each test (see the real-time price on the console for details), it greatly reduces invalid waste and the risk of account suspension, and the overall ROI is significantly better than using the original number.

Do the math: Let’s say you plan to send 100,000 messages.

Original Numbers: Spending US50 to purchase the “100,000 American Male Accounts Pack”, there are actually about 20,000 valid numbers. After sending, 2 accounts were blocked due to reporting (each account value + reset time cost is about US100), the total cost is about US$250, and there are 20,000 effective numbers.
Screen data: Screen the “American + open + active + male” conditions on the KK-DATA platform. After screening, you will get about 80,000 pieces of data. The screening fee (calculated based on the real-time price of the console) is about 80 US dollars. There is no risk of account suspension, and you can effectively reach 80,000 pieces of data.

Obviously, the cost of effective access to a single piece of filtered data is lower.

Comparison of reach risk and compliance

Anti-spam mechanism and account security

Telegram has a strict anti-spam policy. The original numbers contain a large number of invalid/deactivated numbers, which can easily trigger batch reports and account restrictions after being sent. The users in US tg male data are all active and activated users, and the feedback after sending is more positive, reducing the probability of account being restricted.

Data comparison: If the original number is used to send, the probability of the account being temporarily banned is 5-8 times that of the filtered data; after using the filtered data, the account ban rate can be controlled below 1%.

User experience and long-term marketing value

High-frequency harassment of the original number can easily lead to blacklisting - users may report it directly due to frequent spam messages, resulting in the number being blacklisted by Telegram. And accurate US tg male data only reaches potential customers, users will have a higher probability of accepting valuable promotional information and maintain a positive brand image.

Recommendation: In conjunction with a mature content strategy, conduct a small-scale A/B test before sending to observe the user interaction rate. Users who filter data are of higher quality and are more suitable for long-term marketing maintenance.

How to obtain high-quality American TG male data?

The practical path is very simple and requires no technical development. It only takes three steps:

Register an account: Visit KK-DATA official website to register an account and complete the USDT recharge (minimum of about 50 USDT).
Generate Number: Use the “Global Number Generation” function in the console to generate a US number (supports 240+ countries).
Screen Data: Create the “Telegram Screening” task, select “Activation Testing + Activity Testing (recommended 7 days) + Gender Testing (Male)” and submit the task.
Export results: After the screening is completed, export data in CSV/TXT format, with fields including tgid, age range, etc.

The entire process can be operated visually in the Application Console, which displays the estimated expenses in real time and how much you pay. If you need to deduplicate the original number, you can also use the platform’s built-in “data deduplication warehouse” function to avoid wasting balances through repeated detection.

For more detailed operation instructions, please refer to Usage Documentation.

FAQ

**Q: Is the US TG male data accurate? In particular, the reliability of gender judgments? **

Answer: The accuracy depends on the data source of the screen number platform. KK-DATA infers gender through Telegram public information (nickname, avatar, personal information, etc.). The age field is for reference only and cannot be equated with the ID card level. In actual use, the accuracy of targeting men can reach more than 90%, but for users whose avatar settings are cautious or incomplete, misjudgment may occur. It is recommended to use tgid export for secondary verification, or use A/B testing to verify the response effect.

**Q: Can the original number be used for Telegram marketing? **

Answer: Yes, but it is extremely inefficient and risky. More than 70% of the unscreened numbers may not have Telegram or are not “male” as users imagined, and their accounts may be restricted due to invalid sending. It is recommended to use screening tools for inspection first. Even if a small amount of cost is added, a large amount of invalid losses can be avoided.

**Q: How much does it cost to screen data on TG men in the United States? **

Answer: Fees are deducted on a per-item basis. Different detection types (activated/active/gender) have different unit prices. For details, see the real-time price on the console. Taking activity + gender detection as an example, the cost of screening 100,000 pieces of data at a time is usually within a few dozen dollars, which is more cost-effective than the cost of directly sending invalid numbers.

**Q: How to choose activity detection? What is the difference between the last 7 days and the last 30 days? **

Answer: KK-DATA supports active windows such as “last 1 day, 7 days, 30 days, 90 days”. Selecting “last 7 days” ensures that users have been online recently and has a higher response rate; selecting “last 30 days” can expand the user base, but some users may have shifted their attention. It is recommended to choose according to the timeliness of marketing: choose 7 days for short-term promotion and 30 days for long-term foreshadowing.

**Q: Can filtered data be reused? **

Answer: Yes, but it is recommended to recheck activity regularly (such as monthly) because user status will change. KK-DATA supports setting repeated detection tasks, and the system will automatically remove duplicates to avoid repeated deductions.

Start getting high-quality American TG male data now

If you are worried about the quality of numbers for overseas customer acquisition, you might as well try to start with screening. The KK-DATA platform provides a complete “generate → filter → export” pipeline without the need for technical development. It is billed on a per-item basis and you pay for what you use.

👉 Log in to the console to start screening numbers

Or have questions and need live customer service assistance? Via two-way contact customer service system:

https://t.me/kkdata_robot

(Or contact customer service Telegram directly: @kkdata_cc)