Cost Estimation Guide for Valid TG Numbers in the United States: Budget planning and practical framework under the itemized billing model

Obtaining a valid TG number in the United States is a common requirement for overseas marketing, cross-border e-commerce and community operations. However, when many teams first try, they often fall into the dilemma of out-of-control budgets because they are not familiar with the cost structure: either they buy a large number of low-quality numbers that cannot be used, or they invest too much at one time but gain little. This article will provide a cost estimating framework based on the pay-per-item model to help you accurately plan the budget for obtaining a US Telegram number** so that you pay for what you use and every step is quantifiable.

What is a valid TG number in the United States? Why do you need a cost estimate?

“US Valid TG Number” is not a single concept. In the Telegram screening scenario, its effectiveness is divided into different levels:

• Activation (Registration): The number has registered a Telegram account and can receive messages.
• Active: There is online behavior within the specified time window (such as 7 days/30 days).
• Gender/Age: Further identify account attributes, such as gender, age group (approximately 30 years old, etc.).

Overseas marketers need cost estimates because blind investment will lead to two typical consequences: first, insufficient valid numbers, a waste of advertising or mass messaging resources; second, investment far exceeds output, and ROI cannot be calculated. The item-by-item billing model is naturally suitable for small batch testing + gradual volume expansion, but the premise is to know how to estimate the product relationship between the original volume, pass rate and inspection level.

The three core elements of cost estimation: original quantity × pass rate × inspection level

Total cost = original detection volume × sum of unit prices at each level. The following three variables directly impact the final payout.

Raw data volume: How many US numbers do you need?

There are two sources of original numbers:

• Self-prepared number library: CSV import, you need to collect or purchase it yourself.
• Platform generation: Many number screening platforms (such as KK-DATA) provide global number generation for free function, which can be randomly generated based on US number segments or generated in batches based on number segments.

Regardless of the source, the greater the original quantity, the greater the investment required when the pass rate is lower. For example, if the target valid numbers are 1,000 and the pass rate is 50%, at least 2,000 original numbers are required for detection.

Estimated pass rate: Proportion of U.S. numbers activated on Telegram

Industry experience shows that the activation rate of randomly generated US numbers on Telegram is about 30%–60% (affected by the source of the number segment and the freshness of the data). The passing rate of the physical card number segment is higher, but the virtual number segment is lower; the old data may have expired. Don’t have the illusion of “100% acceptance” – the actual pass rate is generally lower than expected.

Detection levels: activated, active, gender, each screening level increases the cost

The testing level determines the unit price and testing volume:

• Test activation only: The lowest cost, suitable for mass distribution.
• Additional test for activeness: You need to pass the activation test (remaining numbers) first and then test for activeness, the unit price is higher.
• Additional testing of gender/age: further narrowing the crowd, and the unit price is higher.

For each deeper layer, the actual number of numbers tested will be reduced due to the pass rate of the previous layer, but the total cost is the accumulation of the detection volume of each layer multiplied by the respective unit price**. For example: 1,000 original numbers → 50% of activation passes, 500 numbers left → 60% active numbers, 300 numbers left → 300 gender test numbers. Total cost = 1000×activation unit price + 500×active unit price + 300×gender unit price.

How to estimate costs through billing by item and three-level detection model?

The following three steps can help you apply a formula to calculate your budget range.

Step one: Determine your target group level

Select the detection level according to business needs:

• Scenario 1: Only need to activate an account → Only need to activate tg
• Scenario 2: Active account required → tg activation + tg active (7 days/30 days can be specified)
• Scenario 3: Accurate targeting is required → tg activation + tg active + telegram gender (including age field, can filter people around 30 years old)

The higher the level, the higher the unit price, but the higher the quality of users.

Step 2: Substitute the pass rate and back-calculate the original amount

Formula: Original volume = Target effective volume ÷ Pass rate

Example: You want to obtain 1,000 “US active TG numbers”. Assuming that the pass rate (activation → active comprehensive pass rate) is about 50%, then the original amount = 1,000 ÷ 50% = 2,000. If the pass rate is only 30%, the original amount will be about 3333.

Step 3: Multiply the unit price by the detection level to get the total budget

Take 2000 original numbers as an example:

1. First do the TG activation test: 2000 items × activation unit price = fee A
2. Assume that 40% of the activation passes, leaving 800 items.
3. 800 items and then do TG activity detection: 800 items × activity unit price = fee B
4. Total cost = cost A + cost B

If gender detection is required, add another 800 numbers × gender unit price (note: after the actual activity passes, the gender of the remaining numbers will be tested again, here is a simplified example).

Key: Each layer is billed independently and there is no “package price”. The balance is used up, and there are no subscription packages.

Case demonstration: Estimating the cost range of 10,000 US numbers

Assume that you need to finally get 10,000 US valid TG numbers (activated + active), simulate three situations:

Assumptions	Activation pass rate	Active pass rate	Original quantity	Activation detection volume	Active detection volume	Total cost calculation (assumed unit price: activation X, active Y)
High pass rate	60%	70%	About 23810 items	23810 × X	14286 × Y	23810X + 14286Y
Pass rate	45%	60%	About 37037 entries	37037 × X	16667 × Y	37037X + 16667Y
Low pass rate	30%	50%	About 66667 entries	66667 × X	20000 × Y	66667X + 20000Y

Actual cost = unit price × testing volume. For specific unit prices, please log in to Console to view real-time prices.

Money-saving tips: How to reduce the cost of testing valid TG numbers in the United States?

The following three practical tips can help you control your budget while ensuring quality.

Use the platform’s global number generation free function

Don’t buy low-quality numbers from third parties at high prices. Use the platform’s Global Number Generation tool to generate original numbers in batches based on the US number range for free, and then submit them for testing. This not only saves number procurement costs, but also controls the quality of source data.

Enable data deduplication warehouse to avoid repeated deductions

If you submit tasks in batches, duplicate numbers will be detected repeatedly, wasting balance. Data Deduplication Warehouse function can automatically compare historical tasks, skip measured numbers, and avoid secondary deductions. Especially suitable for long-term continuous customer acquisition scenarios.

Prioritize screening from the “low-cost tier”

• If you only need to send in bulk, just do “tg activation”, don’t blindly add “active” or “gender”.
• If you need a precise group of people, it is recommended to test the activation first, and then submit the activity/gender test in batches based on the activation results. This allows you to control the upper limit of a single expenditure and adjust the strategy based on intermediate results.

Common Mistakes: Three Pitfalls of Out-of-Budget Budgets

Trap 1: Ignore the pass rate and calculate directly according to the original amount

Only the original quantity is counted, not the effective throughput, resulting in the effective numbers obtained being far less than expected. Be sure to multiply by the estimated pass rate when planning.

Trap 2: All detection types are submitted at once and are not considered hierarchically.

Submitting all levels of testing at once (such as skipping activation and directly testing activity + gender) will cause a large number of unactivated numbers to be tested later, wasting balance. Correct approach: Test the activation first, and then decide whether to test the next layer based on the quantity after the results are out.

Trap 3: Not paying attention to task notifications and balance monitoring

Failure to check the completed tasks in a timely manner may result in excessive deductions or repeated submissions. Use the platform’s task notification (such as Telegram notification) and balance monitoring to be aware of every expenditure.

Customer acquisition in European and American markets: How to use American Telegram activation data (including gender/activity) to improve conversions?

Once you understand your cost structure, the key is applying the data. Through US Telegram activation data, you can:

1. Screen active users: Only send promotional messages to accounts that have been active within 7 days, reducing the risk of account suspension and increasing the reach rate.
2. Gender + Age Targeting: Use the age field in the gender detection results to target male/female users around 30 years old, and adapt to different products (such as men’s clothing, women’s beauty, financial management, etc.).
3. Optimize delivery rhythm: Arrange mass delivery time according to active windows (such as weekends or holidays) to increase click-through rates.

For example, a cross-border e-commerce independent website team used the KK-DATA platform to screen out 5,000 TG numbers of “active in the United States + male + 25-35 years old”, and then combined automated tools for private message promotion, and the final ROI reached 1:8. The conversion improvement brought about by precise layering is much higher than blind expansion.

FAQ

**Q: Why can’t the cost of a valid TG number in the United States be written directly into a unit price? ** Answer: Because the cost is affected by three variables: raw data quality (pass rate), detection level (activated/active/gender), and the real-time unit price charged by the platform (different detection types have different prices). It is therefore recommended to use framework estimates rather than fixed values. Please log in to the console to check the specific unit price in real time.

**Q: I just want to test the TG activation rate among 2,000 US numbers. How much will it cost? ** Answer: Under the per-item billing model, the cost = 2,000 items × the unit price of Telegram activation detection. The specific unit price varies due to market fluctuations, and the platform will display an estimated deduction before the task is submitted. It is recommended to test the quality of the number segments in small batches first, and then decide to increase the quantity.

**Q: How can the data deduplication warehouse help me save money? ** Answer: If you detect data containing duplicate numbers in different batches, the deduplication warehouse will automatically skip the tested numbers to avoid secondary deductions for these numbers. Especially suitable for customer acquisition scenarios with a large number of duplicate numbers.

**Q: What is the general pass rate for US numbers on TG? ** Answer: Affected by factors such as the source of the number segment (physical card/virtual number), data freshness, etc., the activation pass rate for U.S. numbers on Telegram is usually between 30%–60%. Active pass rates range from approximately 50%–70%. It is recommended to test with a small sample first and then operate in batches.

**Q: What is the difference between billing by item and subscription package? ** Answer: There is no fixed monthly fee for billing by item. The fee is only deducted based on the actual number of detected items. It can be stopped when the balance is used up. It is flexible and controllable. Subscription packages require an upfront fixed fee regardless of usage, which can easily lead to waste. Billing by item is more suitable for small and medium-sized teams and staged customer acquisition needs.

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The above framework can help you systematically plan your US valid TG number acquisition budget. If you want to start immediately, you can log in to the console to experience global number generation and ticket-based billing screening. 👉Log in to the console to start screening numbers If you have any operational questions, please contact customer service in both directions: https://t.me/kkdata_robot Complete usage documentation:https://docs.kkdata.cc/