US TG Data Monthly Budget Planning Guide: Split by task volume, detection type and pass rate

In overseas marketing, batch screening of US Telegram data is almost a standard action for every TG community operation and cross-border e-commerce team. However, after many teams receive a request for “US TG Data”, their first reaction is to directly recharge and submit tasks. As a result, when they look at the balance at the end of the month, they either overspent or there are not enough valid numbers. What’s the problem? **Lack of monthly budget planning based on task volume, inspection type and pass rate. **

This article provides a practical budget splitting method for operators who need to screen U.S. TG data in batches over a long period of time. Whether your goal is to acquire 3,000 active US Telegram users or 100,000, this framework can help you control costs within the expected range.

Why is US TG data budget planning important?

High-frequency scenarios for screening U.S. Telegram data include: attracting new users to local U.S. communities, cross-border e-commerce private messaging, and independent website promotion testing. These scenarios often require ongoing investment rather than one-time tasks.

• Lack of planning → After submitting a large number of numbers, it was found that the pass rate was extremely low, and the budget was wasted on ineffective detection.
• Ignore test type → Thinking that it can be used by “activating”, but actually requires “active + gender”, resulting in repeated deductions for the second test.
• Forgot to remove duplicates → The same number was submitted for different tasks, and charges were deducted repeatedly.

Planning the budget on a monthly basis, the core goal is to obtain the target number of effective US TG users with the least testing cost**. This requires understanding three key variables: task volume, inspection type, and pass rate.

Three core factors affecting the US TG data budget

Proportional relationship between task volume and detection cost

The task volume is the number of numbers you submit for testing. A maximum of about 1 million numbers can be submitted for a single task, but the budget must be calculated backwards from “how many valid US TG numbers do you need”.

For example: The goal requires 1000 active US TG users. If the active pass rate of the original number is only 5%, you need to submit 1000 ÷ 5% = 20,000 numbers for testing. The amount of tasks (20,000 items) directly determines the total inspection cost.

Unit price differences for different detection types (opened vs active vs gender)

KK-DATA’s Telegram screen number supports three main types of detection: tg activation (registration detection), tg active (online in the recent period), telegram gender (including age, gender and other fields). Different types have different unit prices:

• Activation Detection: The lowest level, only verifying whether the number is registered with Telegram. Suitable for scenes that only need to be touched.
• Activity Detection: The unit price is usually higher than activation. It can filter out users who are online within a specified time window, and is suitable for immediate marketing.
• Gender Detection: Returns gender, age range and other information on an active basis. The unit price is the highest, but it can accurately target the target group (for example, screening male users about 30 years old in “US tg data”).

Which combination you choose directly affects your budget. A common strategy is: do activation detection first → do activity detection on the activation number → do gender detection on active users. This avoids overspending on invalid numbers.

Note: The specific unit price is subject to the real-time price of the console. Different platforms and detection types vary greatly. Please review estimated costs before submitting a job.

How pass rates affect actual costs

The pass rate is an implicit factor that determines the actual total cost. Assume that the original number you purchased or generated comes from a certain number range:

• Activation pass rate: 10% (10 out of 100 messages have registered for Telegram)
• Active pass rate (for activated users): 30% (30 of 100 activated users have been online recently)
• Gender detection pass rate (for active users): 80% (24 out of 30 active users can identify their gender)

So to get 100 active + gender available US tg data from the original numbers, the number of original numbers you need to submit is: 100 ÷ 80% ÷ 30% ÷ 10% ≈ 4167 items.

If you ignore the pass rate and just think that 100 original numbers can produce 100 target numbers, the budget will be seriously insufficient.

How to estimate monthly budget based on task volume? (Attached are calculation steps)

The following steps are suitable for US TG data budget planning of any size. Assuming you use the KK-DATA platform, the unit price is based on the console.

Step 1: Clarify the number of target valid numbers and detection type

Let’s first define what “valid” means. For example:

• Only activated: As long as the number is registered with Telegram, regardless of whether it is online or not. Suitable for sending messages to registered users.
• Active + Active: Need to be online in the last 7 days. Suitable for scenarios that require immediate response.
• Active + Active + Gender: Gender and age group need to be determined, suitable for targeted delivery.

Suppose you need 5000 US Telegram active users per month (activated + active).

Step 2: Calculate the original number based on the historical pass rate

No historical data? It is recommended to do a small batch test screening first, for example, submit 10,000 random US number segments to see the pass rate of each link.

Assuming test screening results:

• Opening rate: 8% (800 out of 10,000 opened) -Activity rate (for activated users): 25% (200 of 800 activated users are active)

Then to reach the 5,000 active target, the number of original numbers that need to be submitted = 5,000 ÷ (8% × 25%) = 5,000 ÷ 2% = 250,000.

Step 3: Query the unit price of the platform and calculate the total cost

Assume that the console displays that the unit price of “tg active detection” is US0.003/item (only an example, please refer to the real-time price). So total cost = 250,000 × 0.003 =750.

If the gender field is also required, additional gender testing is required, and the cost will be added.

Key Reminder: Original number generation is free, but there is a fee for each detection. The lower the pass rate, the more original numbers you need to submit and the higher the actual cost.

Unit price comparison and selection strategy for different detection types

The following table is a qualitative comparison. Please check the console or billing page for specific prices.

Detection type	Value point	Relative unit price	Applicable scenarios
tg activation	Verify registration, lowest cost	lowest cost	send group messages, just reach out
tg active	Identify recent online users	Medium	Instant interaction, event invitations
telegram gender	Return to gender+age field	Highest	Accurate advertising, user portrait research

Selection strategy: If the budget is limited, give priority to “activation” testing to expand the base volume; if you want to screen out high-value users, first perform activation → then activation → and finally perform gender detection on active users. This stepped detection maximizes budget utilization and avoids expensive detection of invalid numbers.

Monthly budget scenario example (3000–100000 valid numbers)

The following scenarios all assume that the US number range is used, the pass rate is based on the market average (please test it in practice), and the unit price is an indicative value (subject to the console).

Scenario 1: Small batch test (3000 effective active users)

• Target: 3,000 active tg users in the United States (only activated + active)
• Assume that the opening rate is 10% and the activity rate is 30% → original number required = 3000 ÷ (10%×30%) = 100000 items
• Active detection only, no gender: 100000 × active unit price (assuming 0.002) =200
• Recommendation: Use a data deduplication warehouse to reduce duplicate detection in the first month, and control the budget to US$200-250.

Scenario 2: Routine operations (20,000 valid active items + gender)

• Target: 20,000 active tg users in the United States, and then select male users for product promotion
• Opening rate 10%, activity rate 30%, gender recognition rate 70% → Original number required = 20000 ÷ (10%×30%×70%) ≈ 952381 items
• Conduct two tests: first active (952381 × 0.002 = 1904 US dollars), and then determine the gender of active users (assuming the number of active users = 20000 / 70% ≈ 28571 items, the unit price of gender detection is 0.003 US dollars → 85.7 US dollars)
• Total budget is about $1990. Data deduplication warehouse can be used to save expenses caused by duplication rate.

Scenario 3: Large-scale delivery (100,000 valid arbitrary users)

• Target: 100,000 US TG users (no active requirements required)
• Opening rate 10% → Original number required = 1,000,000 items
• Activation detection only: 1,000,000 × activation unit price (assuming 0.001 USD) = 1,000 USD
• Suitable for mass sending scenarios that only require a large number of contacts.

The above is an estimation logic. The actual pass rate and unit price are subject to test results and real-time data from the console.

US TG Data Budget Planning Checklist

• Clear definition of “valid”: open/active/gender? Combination testing?
• Test screening to obtain the pass rate: Submit a small amount (recommended 1000–5000) for each new number segment to understand the pass rate.
• Use data deduplication warehouse: Avoid repeated deductions for the same number across tasks, which can save 15%–30% in the long term.
• Set the upper limit for the number of tasks: Limit the amount of a single submission in the console to prevent the balance from being exhausted by a single task.
• Submit in batches: First verify the pass rate in small batches, and then scale it up in multiple batches according to the budget.
• Follow task notifications: Turn on Telegram notifications. After the task is completed, the results will be exported in time and the balance will be released for the next batch.
• View real-time price: Confirm the unit price in the console before submitting and use the estimated cost function.
• Recharge before the balance is insufficient: USDT (TRC20) The minimum is about 50 USDT to avoid task interruption.

FAQ

**Q: What is the most easily overlooked cost in US TG data budget planning? ** A: Invalid pass rate for the original number. If the target requires 1,000 active TG users, but the activation rate of the original numbers is only 5%, approximately 20,000 numbers need to be submitted for testing, and the actual cost will be much higher than the intuitive estimate. It is recommended to test the screen with a small amount first to understand the pass rate before enlarging the budget.

**Q: What is the budget difference between selecting “activated only” and “activated + active” as the detection type? ** Answer: According to the platform billing rules, the unit price of active detection is usually higher than that of activated detection, and active detection will consume additional balance. Please refer to the real-time price of the console for the specific price difference. It is recommended to weigh based on the purpose of acquiring customers: if you only need to reach users, activate it; if you need high-interaction users, then invest in active testing.

**Q: Where can I get the pass rate data? ** Answer: You can check the pass rate of each task through the historical task report of the KK-DATA console; you can also consult the official channel or customer service for the pass rate experience value of common number segments. It is recommended that each new number segment be tested in small batches first.

**Q: Can I only detect some numbers when I have insufficient budget? ** Answer: Yes. You can set the upper limit for the number of detections in the console before submitting the task, or you can submit it in multiple batches. The balance will be deducted on a per-item basis, you can recharge as much as you want, and support anonymous recharge of USDT, with a minimum of about 50 USDT.

**Q: How much budget can the data deduplication warehouse save? ** Answer: The data deduplication warehouse can prevent the same number from being repeatedly detected and charged. For teams that operate for a long time and use the number library repeatedly, 15%–30% of costs can be saved. Exact savings depend on number duplication rates.

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Whether you are new to U.S. TG data or have some experience, budget planning is not a one-and-done thing. Every time you change the number segment and adjust the detection type, the pass rate may change. It is recommended that the first 5% of the monthly budget be used for trial screening, and the remaining 95% of the budget should be used for large-scale testing as planned. This can not only control risks, but also allow every balance point to be spent on effective US TG data.

Open the console now and follow the steps in this article to estimate your US TG data budget for next month.

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