How to evaluate the quality of US TG numbers? A complete guide from efficiency, liveness, duplication rate to field integrity
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How to evaluate the quality of US TG numbers? A complete guide from efficiency, liveness, duplication rate to field integrity
In overseas marketing and Telegram community operations, US TG numbers (i.e. Telegram accounts with country codes starting with +1) are an important resource for reaching North American users. Whether it is through private message promotion, community invitations or group announcements, the quality of the number directly determines the reach effect and cost return. However, after many practitioners purchased tens of thousands of American Telegram numbers, they found that a large number of numbers could not be activated, were inactive for a long time, or had missing fields, resulting in seriously low ROI. This article will systematically explain how to evaluate the quality of US TG numbers from the four dimensions of efficiency, activity, repetition rate, and field integrity, and give operational detection process and tool suggestions.
What is a US TG number? Why is quality assessment needed?
US TG number generally refers to any Telegram account prefixed with the US country code +1. Due to the large user base and strong spending power in the U.S. market, many overseas teams list North America as the primary customer acquisition region. However, the sources of numbers obtained in batches are complicated (public account generation, overseas agent collection, third-party purchase, etc.), and there are a large number of unregistered Telegram virtual accounts, silent accounts that have not been logged in for a long time, and even duplicate numbers.
If you do not do quality assessment and directly invest in marketing activities, you may:
- A large number of failures after sending messages (the number is not activated);
- The account is restricted due to frequent contact with low active users;
- Repeated detection of the same number leads to waste of balance;
- Unable to accurately target gender or age, resulting in low conversion rate.
Therefore, conducting structured quality inspection of US Transistor Numbers (US Telegraph Numbers) before official use is a necessary step to reduce risks and improve ROI.
Four core indicators for evaluating U.S. TG numbers
We break down the quality of US TG Number into four quantifiable dimensions: effectiveness, activity, repetition rate and field integrity. No single indicator can fully reflect the value of a number, and a comprehensive evaluation is recommended.
Efficient - Whether the number has been activated for Telegram
Effectiveness refers to whether the target number has been registered on the Telegram platform. In the number screening platform, the “tg activation” detection is usually used as the basic screening: the platform determines whether the number belongs to a Telegram user by sending a hidden detection request. Unactivated numbers are simply dead and cannot receive any messages.
- Impact: Effectiveness directly affects the size of the accessible user pool. If the effectiveness of a batch of numbers is only 15% (common in randomly generated number segments), then even if the subsequent activity is high, the remaining available amount will be extremely low.
- Detection method: Use the “tg activation” detection type of the professional number screening tool, submit the number list in batches, and view the activation rate report after the task is completed.
- Recommendation: For US Telegram numbers purchased or generated for the first time, be sure to perform activation testing first to eliminate invalid numbers and avoid invalid marketing calls.
Activity - Whether the number has been used recently
Activity measures whether the number has logged in or operated within the specified time window. A number may have subscribed to Telegram but has not logged in in the past six months. This type of “dormant account” will not respond after receiving messages, and even Telegram officials will impose stricter restrictions on the active messages it sends.
- Distinction: All active numbers must have been activated, but activated numbers may not be active.
- Time Window: Common options include “Active within 7 days”, “Active within 30 days” and “Active within 90 days”. For private message promotion, it is usually recommended to choose a number that is active within 30 days.
- Scenario Suggestions:
Marketing scenario Recommended activity threshold Instant private message/social invitation Active within 30 days Mass announcement/notification Active within 90 days
Note: The cost of activity detection is usually slightly higher than that of simple activation detection, but the conversion rate of highly active numbers is significantly higher and the overall ROI is better.
Repetition rate - avoid waste caused by multiple detections of the same number
In batch purchases or repeated testing, the same US Cable Number may be submitted for testing multiple times. If the platform does not support cross-task deduplication, the full amount of fees will be deducted from the balance for each detection, resulting in repeated deductions.
- Hazards: Suppose you submit three detection tasks (activation, activity, gender). If these tasks share 30% duplicate numbers, it is equivalent to paying 30% more fees.
- Solution: Use a screening tool (such as KK-DATA) with the data deduplication warehouse function. The warehouse will record the historical results of all tested numbers. When a new task is submitted, the tested numbers will be automatically skipped and only the new numbers will be deducted, thereby eliminating duplication and waste.
Common misunderstandings about repeated testing
Many users repeatedly submit different detection types in the same batch of numbers (such as testing activation first and then testing activity). If the deduplication warehouse is not enabled, the full amount of fees will be deducted from the balance each time. It is recommended to use a platform that supports cross-task deduplication, such as KK-DATA’s data deduplication warehouse, to ensure that the same number is only detected once.
Field integrity - availability of gender, age and tgid
In addition to the basic activation/active status, some screening platforms can also provide additional fields, such as:
- tgid: The unique internal ID bound to Telegram, which can be used to further correlate data.
- Gender: Gender (male/female) inferred based on the user’s public profile or behavioral patterns.
- Age: The estimated user age, which is usually around 30 years old (not accurate to the ID number, only for trend reference).
These fields upgrade the US TG number from a mere “reachable” to a “targetable” asset. For example, select male users aged around 30 to advertise tool products, or select female users to promote beauty products.
Note: The accuracy of the fields is limited by the data source. The official Telegram does not disclose the true age. The platform mostly speculates based on user behavior, public information, number ownership and other models. Therefore, do not make decisions based on a single piece of data. It is recommended to evaluate the overall statistical distribution trend (such as “about 30 years old accounts for 40% of this batch”).
How to check the validity of a US Telegram number?
Taking KK-DATA as an example (specific tools can be selected according to personal preference), the detection process is usually as follows:
- Prepare the number list: Generate the +1 number segment through the global number generator that comes with the platform, or import a CSV file from other channels (note the CSV format requirements).
- Submit detection task: Select “Telegram filter number” in the console → check “tg activation” for the detection type. You can also check “TG Active” and “TG Gender” at the same time, but it is recommended to activate it first to save costs (fees are deducted on a per-item basis, see the real-time price on the console for details).
- Waiting for task completion: The system automatically runs the detection, and tasks within 1 million are usually completed within a few hours.
- View results: Export the report, and the effective rate (activation rate) is directly displayed in the result file. If the activation rate is lower than expected, consider changing the number source.
About testing costs
The unit prices for different detection types (activated, active, gender) are different and change in real time. Please use the cost estimation function of the console to check before submitting the task to avoid task failure due to insufficient balance. For details, see Billing Instructions.
How to evaluate the activity of a US TG number?
The key to activity detection is to choose the appropriate activity window. KK-DATA supports custom time ranges (such as 7 days, 30 days, 90 days). The operation steps are similar to activating detection, but the detection type needs to select “tg active” and set the window.
The difference between activity and efficiency
| Indicators | Meaning | Typical uses | Testing costs |
|---|---|---|---|
| Activation rate | Whether the number is registered with Telegram | Filter the reachable pool | Lower |
| Activity rate | Whether the number has activity within the specified window | Determines the likelihood of immediate response | Higher (due to additional polling) |
Relationship: Active number ⊆ Activated number. For example, among 1,000 numbers, the activation rate is 40% (400 are activated), and the activity rate (30 days) is 70%, that is, 280 numbers are available.
How to use activity data for user stratification
Numbers can be divided into four levels according to their activity levels:
- High Activity (active in the last 7 days): suitable for instant private messages, with the highest conversion rate.
- Medium active (active in the last 30 days): Suitable for regular community invitations and push.
- Low Activity (Active in the last 90 days): Long-term notifications can be made, but the reach rate is reduced.
- Silence (inactive for more than 90 days): It is not recommended to actively contact to prevent account suspension.
High-active users can be reached at a higher frequency, medium- and low-active users should be reached at longer intervals, and silent users should only be retained without sending. This will not only improve the effect, but also reduce the account risk.
How do duplicate numbers affect your testing costs?
Suppose you submit two tasks: task A checks the activation status of 1,000 numbers, and task B checks the activity of the same 1,000 numbers. If the platform does not remove duplicates, Task B will charge another 1,000 items. In fact, the activation test results have shown that only 400 of them are activated. You only need to check the activity of these 400 items. Repeated testing resulted in an additional 600 charges being wasted.
Using a platform that supports data deduplication warehouse (such as KK-DATA), you only need to import the deduplication warehouse after the first detection, and the warehouse will automatically filter the measured numbers when submitting subsequent tasks. According to user feedback, the duplication rate may be as high as 30%-50% between multiple tasks. After deduplication, a corresponding proportion of costs can be saved.
Common misunderstandings about repeated testing
Many users repeatedly submit different detection types in the same batch of numbers (such as testing activation first and then testing activity). If the deduplication warehouse is not enabled, the full amount of fees will be deducted from the balance each time. It is recommended to use a platform that supports cross-task deduplication, such as KK-DATA’s data deduplication warehouse, to ensure that the same number is only detected once.
How to ensure field integrity meets marketing needs?
On platforms such as KK-DATA, you can choose to detect “tg gender” or “tg age” (some platforms are integrated in the gender detection package). These fields come from the inference model developed by the platform and are not officially certified. However, when the amount of data is large enough, the gender/age distribution can reflect the overall picture of the number source.
Practical suggestions:
- If you need to reach American men around 30 years old, you can choose the “tg gender includes men” and “tg activated + active + gender” combination testing when screening.
- After exporting the results, perform group statistics on the age field (such as 18-25, 26-35, 36-45) to check whether it meets the target population distribution.
- If the missing rate of the gender field exceeds 50%, it means that the quality of the batch number is poor, and you should consider changing the source.
Again: the accuracy of gender/age cannot be 100%, but the overall trend is credible. Do not reject the entire batch of numbers just because a single piece of data is inaccurate.
Recommended assessment process (with checklist)
Here is a 5-step evaluation process that you can start immediately for any batch of US TG numbers:
Step 1: Prepare number list
- You can generate +1 segments (240+ countries/regions around the world) through the platform generator, or import your own collected CSV files.
- Data deduplication: First use Excel or platform deduplication tools to remove obvious duplicate rows.
Step 2: Submit tg activation test
- Create a task on the Sieve platform and select “tg activation”.
- Export the results after waiting for completion and calculate the opening rate (more than 30% is considered passing, and more than 60% is excellent).
Step 3: Submit activity check on the activated number
- Filter out the activated numbers and resubmit for testing (select “tg active” as the type and set the window to 30 days).
- Check the activity rate, it is recommended to be greater than 70%.
Step 4: Supplement user personas with field integrity
- If there is a gender/age requirement, check the “tg gender” detection in the same task (note the billing method).
- After exporting, analyze field coverage and distribution to determine whether it meets the target audience.
Step 5: Export the final list after removing duplicates
- Use the data deduplication warehouse to filter already tested numbers, and only charge new numbers.
- Export the final list in CSV/TXT format for the next stage of marketing.
Assessment Checklist
- Is the source of the number trustworthy? (Avoid randomly generated unsourced lists)
- Have you done the activation test first? (To avoid wasting resources with invalid numbers)
- Does the active window match the marketing cadence? (Private credit 30 days, announcement can be relaxed to 90 days)
- Is cross-task deduplication enabled? (Save 20%-50% cost)
- Does field integrity meet targeting requirements? (Gender/age coverage ≥ 60%)
- Have you checked the console real-time price? (Avoid insufficient balance)
FAQ
**Q: How effective is the U.S. TG number generally? ** A: The effectiveness varies greatly depending on the number source. The effectiveness of numbers randomly generated or collected in batches from the public number range is usually between 10% and 40%; a pre-screened high-quality list may reach more than 60%. It is recommended that the actual test results prevail.
**Q: How to judge whether the activity of a batch of American Telegram numbers is good enough? ** Answer: If it is used for instant private messages or community invitations, it is recommended to choose a number that has been active in the last 30 days. The activity rate is preferably above 70%. If it is only used for mass announcements, it can be relaxed to be active within 90 days. The active window can be customized in the screen platform.
**Q: How much cost will be wasted on repeated testing? ** Answer: If duplicate numbers are not removed, multiple detections of the same number may result in a waste of 20%-50% of the cost. This problem can be avoided by using a platform that supports cross-task deduplication (such as KK-DATA’s data deduplication warehouse).
**Q: How accurate are the tgid and gender fields? ** Answer: tgid is calculated through the public interface, and the accuracy is high but not 100%; the gender and age fields are inferred based on the user’s public information and behavior patterns, which can be used to stratify the population, but cannot achieve the accuracy of real-name authentication. Never make decisions based on a single piece of data, look at the overall statistical trend.
**Q: Where can I check the quality of US TG numbers? ** Answer: You can use professional screening platforms such as KK-DATA, which supports detection of activation, activity, gender, etc., and provides a data deduplication warehouse. Log in to the Console to start the task. To contact customer service in both directions, please use https://t.me/kkdata_robot.
If you are looking for an efficient and transparent US TG number quality inspection solution, try KK-DATA. It provides a one-stop pipeline from number generation, cross-platform number screening to data deduplication, with per-item billing and no subscription. It is especially suitable for overseas marketing teams that are cost-sensitive and pursue accuracy.
👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Official website and documents: https://kkdata.cc/ | https://docs.kkdata.cc/
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