American TG number monthly budget planning: cost plan based on task volume, detection type and pass rate

#US TG number monthly budget planning: cost plan based on task volume, detection type and pass rate

The American TG number (American Telegram number) is the core resource for the overseas team to do community operations, private message promotion, and TG fans in the North American market. But batch screening of numbers is not as simple as “buy a number and send it directly” - the unit prices of different detection types (activated/active/gender) vary greatly, and the pass rate of the number pool also directly affects the final cost. If you skip budget planning, you may end up in the embarrassing situation of “having charged 500U and then found out that the balance is not enough before you finish screening.”

Starting from the three variables of task volume, detection type, and pass rate, this article helps you break down the monthly budget of the American TG number, and provides applicable templates and platform practical skills.

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What is a US TG number? Why do we need to make a budget plan before screening?

US tg number, simply put, is a US mobile phone number that has been registered with Telegram. Such numbers usually come from operator recycled numbers, virtual number pools or numbers actively registered by users, and their “activation” status needs to be verified through number screening tools. For cross-border sellers or overseas marketing teams, obtaining a large number of valid US TG numbers is the starting point for reaching North American users.

But screening is not free labor: each test is charged on a per-item basis, and in-depth tests (such as activity and gender fields) are more expensive. Without budget planning, it is easy to:

• After spending all the balance, only 20% of the valid numbers will be screened out, and subsequent operations will be interrupted;
• Repeated testing of already screened numbers is a waste of money;
• Mistakenly believed that “pass rate = 100%”, but in fact it was only 30%, resulting in serious budget overruns.

Therefore, before submitting the first batch of screening tasks, make a monthly budget plan so that every penny can be spent wisely.

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What core variables determine the budget of the US TG number?

Total monthly cost ≈ (total number of original numbers × unit price of detection type) + (pass rate adjustment) + buffer. There are three core variables that affect the results:

How to estimate the task volume?

The task volume is not “how many valid numbers do I want”, but the total number of original numbers. The formula is:

Total number of original numbers = Target effective number ÷ Estimated pass rate

For example, your team needs to send 1,000 private messages to US Telegram numbers every week (considering the daily frequency limit), and the target number needs to be 4,000 valid numbers per month. If the estimated pass rate is 40%, then the original numbers you need to detect = 4000 ÷ 0.4 = 10,000.

The relationship between detection type and unit price

The KK-DATA platform supports multiple detection types, each with different unit prices (see the real-time price on the console for details):

• tg activation (basic registration verification) - lowest price
• tg active (detect active window, e.g. 7 days/30 days) - medium price
• tg Gender (including age, race and other fields) - in-depth detection, the highest unit price

If you only do “activation” testing, the cost is the lowest; if you add “gender + activity”, the cost may increase 2-5 times. When planning, be sure to clarify “which fields are needed.”

How does pass rate dilute or save budget?

Pass rate is the “multiplier factor” for budget. Suppose you need 1000 valid US TG numbers:

• Pass rate 50% → 2000 items tested
• Pass rate 20% → 5,000 items tested

For the same number of targets, the lower the pass rate, the higher the total number of tests, and the cost rises sharply. The quality of the original number pool directly determines budget efficiency.

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How to develop a monthly budget for US TG numbers based on task volume?

The following is a tiered budget template (unit prices are based on the real-time price of the console, only the calculation ideas are shown here).

Small-scale test (less than 5,000 valid US TG numbers per month)

Applicable scenarios: verify market response and test speaking skills.

• Estimated pass rate: 40% (it is recommended to use 500 samples for test screening first)
• Total number of items to be detected: 5000 ÷ 0.4 = 12500 (based on the maximum value)
• Detection type: only tg enabled
• Estimated cost: 12500 × tg activation unit price
• Recommended buffer: add 20% → Final budget = Estimate × 1.2

Medium-scale regular operation (10,000-50,000 items required per month)

Applicable scenarios: Stable operations that have run through the conversion model.

• Estimated pass rate: 40%-50% (take 45%)
• Total number of tests required: Assume that 20,000 valid items are required per month → 20,000 ÷ 0.45 ≈ 44,444 items
• Detection type: Open + Active (or Open + Gender, depending on target)
• Estimated cost: 44444 × (activation unit price + active unit price) or higher
• Buffer recommendation: 15%-20%

Large-scale batch customer acquisition (more than 100,000 items per month)

Applicable scenarios: The team has dedicated personnel to screen numbers every day and deliver in multiple batches.

• Estimated pass rate: 50% (if the number pool is optimized)
• Total number of items to be tested: 100,000 ÷ 0.5 = 200,000 items
• Detection type: You can activate it first, and then add activity/gender to the confirmed tgid later, step by step operation
• Estimated cost: 200,000 × activation unit price (first round) + subsequent additional costs
• Buffer: It is recommended to reserve 30%, because the pass rate may fluctuate even more under large task volumes

Note: KK-DATA supports a maximum of about 1 million items for a single task, but it is recommended to submit it in batches to facilitate budget adjustments midway.

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How do different combinations of detection types affect the monthly cost of a US TG number?

We use a simple comparison example to illustrate (the unit price is an indication, please check the console for actual results):

Detection combination	Unit price assumption (according to tg platform)	Total cost of testing 10,000 original numbers	Effective cost per thousand when the valid number pass rate is 40%
Only available for tg	1X	10,000X	10,000X ÷ 4000 = 2.5X
tg activated + active	1X + 1.5X = 2.5X	25,000X	25,000X ÷ 4000 = 6.25X
tg activated + active + gender	1X + 1.5X + 2X = 4.5X	45,000X	45,000X ÷ 4000 = 11.25X

As you can see from the table, adding depth detection doubles the cost. But if you only need “effective registration volume”, just activating the detection is enough; but when it comes to accurate user portraits, gender and activity are worth the extra cost. A budget-saving tip is to do basic activation detection first, export the tgid, and then submit the activity/gender detection task separately for the confirmed tgid. This can avoid in-depth detection of invalid numbers and waste of money.

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How can the actual measurement results of the pass rate be used to predict next month’s budget adjustment?

Suppose you made the first batch of US TG number screening this month:

• Submit for testing: 10,000 original numbers
• Detection type: tg activation
• Result: 3500 items passed (pass rate 35%)
• Actual effective cost = 10,000 × activation unit price

Next month you need 5,000 valid numbers. Based on the 35% pass rate adjustment this time, the original numbers to be detected = 5000 ÷ 0.35 ≈ 14286. If the pass rate improves (for example, a better number pool is changed), for example, if the pass rate becomes 50%, only 10,000 records will be tested.

Practical Suggestion: After each screening is completed, export the results in the KK-DATA console and record the number of valid items and the pass rate. After obtaining a stable pass rate for more than three consecutive times, use this data to plan the purchase volume for the next month. If you find that the pass rate continues to be lower than 30%, it is recommended to change the number provider or use the number generation function of the platform to prepare a new seed number.

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Budget management skills when using KK-DATA to filter American tg numbers

KK-DATA naturally has several budget-saving designs, and making good use of them can reduce costs.

1. Free number generation: The platform supports random generation of 240+ country numbers, number segment generation, and custom CSV import. First, generate 100,000 US number segments for free in the Application Console, then test and screen in small batches to find the number segments with a high pass rate, and only these high-quality numbers will be tested in the future.
2. Data deduplication warehouse: Duplicate numbers between different tasks will be automatically skipped to avoid repeated deductions. Make sure to enable the “Remove Duplicates” option before submitting each task.
3. Estimated cost display: Before submitting a task, the console will display the estimated cost of the task. It is recommended to use 100-500 test pass rates first, and then submit the complete task after confirmation.
4. Balance is billed by item, no subscription: Pay as you use, no package waste. The recharged USDT will be deducted after completing the number screening. If the balance is insufficient, new tasks cannot be submitted, which naturally controls the budget.

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Common pitfalls and countermeasures in US TG number screening budget planning

Pitfalls	Consequences	Solutions
Ignore the pass rate and estimate directly with 100%	The budget is seriously insufficient and only a small number of valid numbers are produced	Test with samples first and take the actual pass rate
Underestimating the unit price of depth inspection	The balance charged is only enough to complete half of the tasks	Check the unit price of the console carefully before submitting and calculate the total cost
Duplicate numbers are not deduplicated	The same number is detected multiple times, wasting balance	Enable KK-DATA data deduplication warehouse
Submit very large tasks at one time	The task fails when the balance is insufficient, or cannot be paused midway	Submit in batches, adjust by week or volume

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A monthly US TG number budget planning template (sample table)

This is an applicable template (please fill in all unit prices based on the console’s real-time prices):

Item	Value	Description
Target effective quantity (items)	5000	Set according to the operation plan
Detection type	tg activated + tg active	Only activated or combination, select as needed
Estimated pass rate	40%	Derived from historical data or sample testing
Total number of items to be detected (bars)	5000 ÷ 0.4 = 12500	Automatic calculation
tg activation unit price (see console)	—	Fill in the actual number
tg active unit price (see console)	—	Fill in the actual number
Detection fee (activation + activity)	12500 × (activation unit price + activity unit price)	Example: Assume 0.01U is activated and 0.02U is active, then it is 12500×0.03=375U
Buffer ratio	20%	Reserve balance to deal with fluctuations
Final monthly budget	375 × 1.2 = 450U	Actual recharge amount reference

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FAQ

Question: What is the typical monthly budget for a US TG number?

A: Depends on the number of valid numbers required and the depth of detection. For example, if 1,000 valid TG activation numbers are required every month and the pass rate is about 40%, about 2,500 numbers need to be tested, and the cost is calculated based on the console TG activation unit price, which usually ranges from tens to hundreds of U. It is recommended to test in small batches first and then calculate the general ledger.

Q: How much additional cost will it cost to detect gender and activity?

Answer: Gender and activity detection are additional services, and each field is billed separately. For the specific price increase, please check the unit price list of the corresponding platform of the console. Usually the unit price of in-depth inspection is 2-5 times that of basic open inspection, but it can obtain more accurate user portraits.

Question: What is the “pass rate” of US TG numbers? How to estimate?

Answer: The pass rate refers to the proportion of original numbers that are successfully detected as Telegram activation (or active). The pass rates of different number sources vary greatly. It is recommended to test 100-500 samples first, and then take the average value to estimate. For example, if the sample pass rate is 35%, when 1,000 valid numbers are needed per month, approximately 2,857 original numbers need to be prepared.

Question: Is batch screening of numbers risky for Telegram accounts? Do I need to consider the cost of account suspension in my budget?

Answer: The number screening itself uses the number to detect whether you have registered with Telegram and will not trigger account ban. However, when using the filtered number to actively add followers or send private messages, you need to pay attention to the frequency of operation, otherwise your Telegram account may be restricted. It is recommended to take the maintenance cost of the traffic diversion account into consideration in budget planning.

Question: Can I only do TG activation testing when the budget is insufficient? How to re-screen activity in the future?

Answer: Yes. First do the TG activation test to filter out all registration numbers and export the TGID list. When active data is needed in the future, you can directly resubmit the “tg active” detection task for the confirmed tgid without repeated detection and activation. KK-DATA’s task management supports additional detection based on historical results, saving upfront budget.

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Budget planning is the first step to efficient screening. With the real-time unit pricing, free number generation and data deduplication functions of KK-DATA Console, you can easily control the monthly cost of US tg numbers. For novices, it is recommended to recharge 50U for small-scale testing first, and then expand investment after verifying the pass rate and process.

👉Log in to the console to start screening numbers Two-way contact customer service robot: https://t.me/kkdata_robot For more operation details, please refer to Usage Documentation