How to evaluate the quality of US TG male data? Your complete guide from productivity to activity to repeatability

In overseas marketing and Telegram community operations, US tg male data (i.e., the list of numbers with male gender identification among registered Telegram users with US area codes) is an important resource for accurate customer acquisition. Whether it is private message promotion, community fission or brand interaction, high-quality American TG male data can directly improve reach efficiency and conversion rate. However, the quality of data on the market is uneven—invalid numbers, low active users, high duplication rates, and other issues will drain your budget. This article teaches you to systematically evaluate the quality of American Telegram male data from the four core dimensions of efficiency, activity, repetition rate and field integrity to avoid wasting costs of ineffective customer acquisition.

What is US TG male data? Why is quality assessment needed?

US tg male data usually refers to a collection of numbers that contain US phone numbers (such as starting with +1), have been detected by Telegram and are identified as male. In overseas customer acquisition scenarios, this type of data is widely used in:

• Private message promotion: Send product introduction and promotional information to target users.
• Community Fission: Invite active male users to join the Telegram group.
• Precision Marketing: Targeted delivery based on age, interest and other fields.

The risks of low-quality data are obvious:

Problem	Consequences
Invalid number (not registered with Telegram)	The reach base is artificially high, and the actual number of people who can be contacted is far lower than expected
Low activity (not online for months or even a year)	Messages are ignored and response rates approach zero
The repetition rate is too high	Multiple payment checks for the same number waste the balance
Fields are missing (no tgid, no active time)	Secondary verification is not possible, and subsequent marketing cannot be finely stratified

Therefore, when purchasing or self-producing American TG male data, quality assessment is an essential preliminary step. Only data that has been verified by the system can support your customer acquisition strategy.

Evaluate the four core dimensions of US Telegram male data

Evaluating data quality cannot only look at one indicator, but should be comprehensively judged from the four dimensions of efficiency, activity, repetition rate and field integrity. Each dimension corresponds to a different business problem:

Efficient: the most basic threshold of data

Effectiveness refers to the proportion that passes Telegram registration test (i.e. “tg activation”). Only numbers that have been successfully registered on Telegram can be reached. Generally, it is recommended that the effective rate ≥70% is considered qualified, and ≥80% is considered high-quality data.

How to obtain effective efficiency data? Use a batch screening tool (such as KK-DATA) to submit the “tg activation” test, and the platform will return whether each number is activated. If the effectiveness of a batch of data is less than 50%, it can basically be judged as false or expired data and discarded directly.

Activity: determines whether your message can be seen

Just because the number is valid does not mean that the other party will see your message. Activity detection can specify a time window (such as the last 7 days, the last 30 days, the last 90 days) to filter out users who have been online recently. For cross-border e-commerce promotions, users who have been active in the last 7 days should be selected; for DTC brand content marketing, it can be relaxed to the last 30 days or the last 90 days.

Using KK-DATA’s “tg active” filter option, you can customize the active window. For example, for the American TG male data, after selecting “Active in the past 30 days”, the system will only retain the numbers that have been logged in during this time period. This can greatly increase the open rate of private messages.

Repeat rate: avoid paying multiple times for the same number

Duplicate numbers will lead to two problems: first, repeated deductions during the number screening stage; second, multiple contacts with the same user during the marketing stage, leading to complaints or even account closures. Ideally, the duplication rate of data within the same batch or across batches should be less than 5%.

Methods to reduce repetition rate:

• Use data deduplication warehouse. KK-DATA has a built-in deduplication function. When submitting a new task, it will automatically match the historical detected numbers to ensure that no repeated deductions are made.
• After exporting the data, use Excel or Python script to remove duplicates twice.

Field integrity: supplementary value of gender, age and other dimensions

The simple label “male” is often not enough. Good quality US TG male data should contain the following fields:

• tgid: Telegram’s unique identifier, which can be used for subsequent API operations.
• Gender: Whether clearly identified as male (some data may only be marked “Unknown”).
• Age field: KK-DATA’s tg gender detection will output an age range (such as “25-34 years old”), which can be used to target people around 30 years old. Note: This field is based on public information analysis and has non-ID card level accuracy.
• Activity Timestamp: The last online time, allowing you to judge the freshness of the data.

How to use KK-DATA to specifically evaluate the quality of a batch of American TG male numbers?

The following takes the KK-DATA platform as an example to demonstrate step by step how to use the screening tool to evaluate the quality of a batch of American TG male data. You can use the same process to self-test purchased data, or produce high-quality numbers yourself.

Step 1: Prepare number source and upload it

There are two sources of numbers:

• Import your own numbers: Organize the list of US area code numbers into a CSV or TXT file.
• Generate US number segment: Use KK-DATA’s “Global Number Generation” function (free), select the country/region “United States”, and generate tens of thousands of US numbers. When generated, it can be subdivided by number segment (such as east, west).

Create a task in the console https://app.kkdata.cc/ and upload the number file.

Step 2: Configure filter task (select Telegram filter type)

KK-DATA supports detecting multiple social platforms at the same time. For American TG male data, you only need to pay attention to Telegram’s filter options:

• tg activation: required to check whether Telegram is registered.
• tg active: It is recommended to select “Active in the past 30 days” or a shorter window.
• telegram gender: After checking, the system will output the gender and age fields.

Others such as “TG ID export” can be checked according to needs. Before submitting the task, the console will display the estimated fee (billed on a per-item basis, see the real-time price on the console for specific unit prices). If the balance is insufficient, you must recharge first.

Step 3: Wait for the task to complete and analyze the results

After the task is submitted, the waiting time can be used to handle other work. After completion, the system will send a notification (Telegram robot notification can be bound). Enter the console to view the statistical summary:

• Total: Total number submitted.
• tg activation number and activation rate: directly reflect the effectiveness.
• tg active number and activity rate (based on the time window you set).
• Gender Distribution: Proportion of males, females, unknown.

After exporting to CSV, you can filter by “tg activation=Yes” and “gender=male”, and then filter the activity conditions. For example, we finally got the high-quality data of “US region + TG activated + active in the past 30 days + men”.

How are the evaluation results applied to actual customer acquisition decisions?

After obtaining the assessment data, you need to make specific decisions:

Assessment results	Recommended actions
The effectiveness rate is less than 60% and the activity rate is less than 10%	Discard it directly and ask the supplier to replace or refund
Effectiveness ≥70%, activity rate less than 20%	You can reduce the frequency of contact (such as sending once a day), or change the type of marketing content
Effective rate ≥80%, activity rate ≥30%	Fully qualified and can be used normally
The gender field shows that “male” accounts for less than 90%	It is suspected that the data label is inaccurate and needs to be re-verified or find another supplier

In addition, if the proportion of people “about 30 years old” in the age field is high, and in conjunction with the activity conditions, a marketing plan can be formulated for young male workplace groups.

Things to note when purchasing and self-producing American TG male data

Regardless of purchasing or self-produced data, the following points deserve attention:

• Screenshots of screen number reports are required when purchasing: Allow suppliers to display the activation rate, activity rate, and male proportion of their data, and can also require API interface entity verification.
• Small batch test screening: It is recommended to take 5%-10% of the sample to test with KK-DATA, and then submit the full amount after confirming that the efficiency and activity meet the standards to avoid consuming too much balance at one time.
• Pay attention to number segment distribution: The data quality of different number segments in the United States (such as 212 (New York), 310 (Los Angeles)) may vary greatly. It is recommended to group tests by number segment.
• Privacy Compliance: Even if the data is valid, avoid sending promotional messages to users who have explicitly declined to receive messages. It is recommended to provide an unsubscribe option during first contact.

FAQ

**Q: What is the general effective rate of TG male data in the United States? ** Answer: Generally, if the opening test effectiveness is ≥70%, it is qualified, and if more than 80%, it is high quality. The effectiveness of different number segments (such as 442 area code vs 310 area code) may be quite different. It is recommended to group the test by number segment.

**Q: How much impact does repetition rate have on data quality? ** Answer: Too high a repetition rate will cause you to pay for the same number multiple times, and repeated exposures may trigger account risk control. Ideally, the repetition rate should be less than 5%. If it is higher than 10%, it is recommended to use a deduplication warehouse and clean it before use.

**Q: Can KK-DATA detect the activity time window of American TG male data? ** Answer: Yes. You can specify the active time window (such as the last 7 days, the last 30 days, the last 90 days, etc.) in the number screening task to filter out the numbers that meet your marketing time requirements.

**Q: How accurate is the gender recognition result? Do I need to be 100% accurate? ** Answer: KK-DATA’s tg gender detection is based on comprehensive analysis of public fields. The accuracy is high but not 100%. For most customer acquisition scenarios, the accuracy rate is sufficient to support targeted delivery, and there is no need to pursue ID card-level accuracy.

**Q: How to test the quality of a batch of US numbers at low cost? ** Answer: First use the global number generation function to generate US number segments (240+ countries) for free, and then select a small batch (such as 1,000) to submit the number screening task. The fee is billed on a per-item basis. After checking the results, you can decide whether to expand the scale. The console displays estimated costs, so what you see is what you get.

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Assessing the quality of U.S. TG male data is not a one-time task, but a necessary step throughout the entire process of data procurement, cleaning, and use. Through system evaluation in the four dimensions of efficiency, activity, repetition rate and field integrity, you can effectively avoid ineffective customer acquisition and make every penny spent wisely.

👉 Log in to the console https://app.kkdata.cc/ to start screening numbers; if you need assistance, please contact customer service https://t.me/kkdata_robot in both directions. For more functions, please visit the official website https://kkdata.cc/ or view the documentation https://docs.kkdata.cc/ .