Small sample test guide for valid tg numbers in the United States: test first and then invest to improve Telegram customer acquisition ROI

The team working on overseas customer acquisition for Telegram often encounters a disturbing scenario: spending hundreds of dollars to screen out a batch of “valid TG numbers in the United States”, only to find that the open rate after mass sending is less than 10%, and there are even fewer replies. What’s the problem? It’s likely not that the number itself is invalid, but that you didn’t do small sample testing. This article focuses on the concept of “valid TG numbers in the United States” and teaches you step by step how to verify the number quality at the minimum cost, and then decide whether to expand the screening size. Whether you are an independent website seller, a cross-border e-commerce operator, or an overseas marketing team, this method can help you avoid ineffective investment and spend your budget on numbers that can truly reach users.

What is a valid TG number in the United States? Why is overseas marketing important?

“US valid TG number” refers to a number that is registered with Telegram in the US (+1 number segment) and is reachable. But “valid” doesn’t just depend on whether it’s activated - if a number has never opened Telegram after registration, or has been inactive for six months, its marketing value will be extremely low. For overseas marketing, a “valid U.S. TG number” that is truly worthy of attention should meet three conditions:

• Activated: The number is indeed registered with Telegram.
• Recently active: Have logged into the application within the specified time window (such as the past 7 days, 30 days).
• Gender/age identifiable (optional): used for targeted push, such as female users and people around 30 years old.

If the number you get only meets the first requirement and ignores the activity and gender fields, the push effect will be greatly reduced. This is why the screening of US TG valid numbers cannot only look at the “opening rate”, but must be combined with activity and gender detection.

Risks of direct large-scale screening: Why is it necessary to conduct small sample testing?

When many teams use the screening platform for the first time, they like to directly submit 100,000, 500,000 or even 1 million numbers. This is extremely risky:

• Unknown data source quality: The number you have may be an old number from a few years ago, or it may come from a public number pool, and the activity rate may be extremely low.
• Waste of balance: If the result is found to be poor after one-time deduction, the money has already been spent.
• Unable to compare and optimize: Without benchmark data, you don’t know whether the platform is inaccurate, the number is wrong, or there is a problem with the targeting conditions.

The principle of small sample testing is very simple: run it once with 500 to 3,000 numbers, observe key indicators, and then expand the volume after confirming that the data quality meets expectations. This way, even with trial and error, the cost is kept within a few dollars.

Complete steps for small sample testing of valid TG numbers in the United States

The following takes the KK-DATA platform as an example to explain how to complete a small sample test. The operation logic of other platforms is similar and can be used as a reference.

Step 1: Prepare US number samples for testing

You don’t need to prepare the number library yourself. In the Global Number Generation module of KK-DATA, select the country “United States” (+1), and then set the number of generated numbers (1000~3000 is recommended). The system will randomly generate a number that conforms to the US number range rules. If you already have a specific number segment (such as Los Angeles area code 213, 310, etc.), you can also use the number segment generation or custom CSV import function to upload your existing number list.

Tip: Avoid using numbers that are too old or public. For example, many numbers registered before 2015 may have been cancelled. When generating randomly, try to select carrier number segments that have been active in the past one or two years.

Step 2: Submit the small sample screening task in KK-DATA

Log in to Application Console and enter “Screen Task” → “New Task”. Select Telegram Screening as the detection type and check the following options:

• tg activation (required)
• tg active (required, it is recommended to set the active window to “last 7 days”)
• tg Gender (optional, used to obtain gender and age fields)

Upload the number file generated in the first step (or paste the text directly) in the “Number List” and confirm that the total number of tasks does not exceed 5,000. The system will automatically display the estimated cost (billed by item, please see the real-time price on the console for specific unit prices). Submit the task after confirming it is correct.

Step 3: Export test results and interpret key indicators

Once the task is complete, download the CSV export file. Focus on the following fields:

Field	Meaning	Ideal value
tg activation	Whether to register Telegram	≥80%
tg active	active within the specified window	≥60%
Gender	male/female/unknown	According to target group
Age	Number	For example, the proportion around 30 years old

If the “tg opening rate” in your sample exceeds 80% and the “tg active rate” exceeds 60%, it means that the quality of this batch of numbers is very high and the screen size can be expanded. If the activity rate is lower than 30%, it is recommended to postpone and troubleshoot the problem first.

How to decide whether to expand the task based on the results of a small sample?

Based on small sample indicators, the following decisions can be made:

Activity rate ≥ 60% and gender ratio meets target → Can be expanded 5~10 times to continue screening

This is the ideal situation. It shows that the number source is of good quality and the Telegram user group is highly active. You can expand the task size to 10,000 to 50,000 items, continue to use the same detection type, and start exporting valid numbers in batches for push. Pay attention to keeping the active window consistent (for example, still using the last 7 days) to ensure consistent data.

Activity rate is between 30%~60% → Adjust data source or retest targeting conditions

This range indicates that the number has a certain value, but is not of high quality. Common reasons:

• The number range used is older (for example, the number range issued before 2018).
• The activity window is set too wide (such as “past 30 days”), causing the actual activity to be diluted.

Suggestion: Change to a batch of newly generated numbers, or try a more accurate number range (such as a specific city area code), and retest with a stricter active window (such as the past 3 days).

The activity rate is lower than 30% → Suspend the large-scale screening of this country/number range

If the activity rate is less than 30%, it means that most Telegram users in this batch of numbers are no longer active or have logged out. Don’t waste your budget on this number range. You can try:

• Change the number generation method (for example, use “Global Number Segment Generation” to select another operator).
• Check if you have selected the wrong area code (e.g. a number pool that has been abandoned).
• Consider changing the target country (for example, shifting the budget to Southeast Asia, Latin America, and other regions where tg users are growing rapidly).

Four pitfalls that are easily overlooked in small sample testing

1. Only detect “activated” and not “active” The opening rate may be high, but many of them are “zombie accounts” that have never been opened after registering half a year ago. Expanding capacity based solely on the activation rate is a waste of budget.

2. Ignoring the significance of the gender field for precision marketing If your product is aimed at female users, and women account for less than 10% of the test sample, those numbers are not worth using no matter how cheap they are. Gender detection must be added when the sample size is small.

3. Failure to perform secondary deduplication results in repeated detection Each time a new task is added, if the number is the same as the previous task, the fee will be deducted repeatedly. KK-DATA provides data deduplication warehouse, which is recommended to be turned on to avoid repeated detection.

4. Too small sample size leads to large fluctuations in results The activity rate measured using 200 numbers may fluctuate wildly from 20% to 80%, which is completely untrustworthy. Be sure to ensure that the sample size is more than 1,000 to have statistical significance.

How to use KK-DATA to efficiently complete batch screening of US tg numbers? (Nature Plan Mentioned)

KK-DATA is a screening platform for overseas customers. Its core capabilities include:

• Global Number Generation: Randomly generate numbers in 240+ countries/regions, free to use.
• Multi-platform screening: Telegram, WhatsApp, Line, Zalo, iMessage, etc. The detection type includes activation, active, gender, and age fields.
• Data Deduplication Warehouse: Automatically remove duplicates across tasks to avoid repeated deductions.
• Billed by item, no subscription: After recharging USDT, the fee will be deducted according to the actual number of detected items. The cost of small tests is extremely low.
• Multi-format export: CSV/TXT, fields include tgid, activity, gender, age, etc., which can be directly imported into the mass sending tool.

You can complete a small sample test in KK-DATA first, confirm the activity rate and gender data, and then create a large-scale task. The platform supports screening of 1 million numbers at a time, and with the data deduplication warehouse, it can efficiently produce US valid TG numbers.

FAQ

**Q: How accurate are the test results for valid TG numbers in the United States? ** Answer: KK-DATA determines whether a number is activated and active by detecting the Telegram server interface in real time. The accuracy depends on the status change of the target number (for example, the number may be logged out at any time). It is recommended to use the export results within 48 hours after the task is completed to avoid active data expiration.

**Q: What is the minimum number required for small sample testing? ** Answer: To ensure statistical significance, it is generally recommended to have no less than 1,000 items. If the sample size is less than 500, the results may mislead decision-making due to random fluctuations. For situations where the number segment is very clear, you can also test 500 observed trends first.

**Q: Can the tested US TG activation number be used on multiple platforms? ** Answer: No. The Telegram number screening result only proves that the number is registered and active on Telegram, and does not mean that it is valid on other platforms such as WhatsApp and Line. If cross-platform screening is required, detection tasks for the corresponding platforms must be submitted separately.

**Q: Will small sample testing consume a lot of balance? ** Answer: Very small. For example, for 1,000 Telegram numbers, the three items of TG activation + activity + gender detection will be deducted on a per-item basis. Please see the real-time price on the console for the specific unit price. Usually a small sample test can be completed for a few dollars, which is far lower than the trial and error cost of directly screening large batches of numbers.

**Q: After the test is completed, how to export the valid numbers to the operation team for use? ** Answer: KK-DATA supports CSV and TXT export. It is recommended to export to CSV, including fields such as tgid, activity, gender, age, etc., which can be directly imported into Telegram group messaging tool or CRM system.

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