US tg data screening cost control guide: coarse screening first and then fine screening, how to save money by billing by item

Teams engaged in overseas marketing, Telegram community operations or private messaging customer acquisition often need to obtain and filter US tg data in batches (i.e. US area code + numbers from other countries to detect whether Telegram is registered, activity level, gender, etc.). However, many people tend to make a mistake when they first come into contact with a pay-by-item number screening platform: they do all the testing at a high unit price, resulting in rapid balance consumption and a low effective number output ratio.

This article is specifically geared towards the “pay-per-item” model, explaining how to minimize the cost of screening U.S. Telegram data through a funnel strategy of coarse screening first and then fine screening while ensuring the quality of the results. Not only will you understand the cost differences of different detection types (activation, active, gender), but you will also master a set of practical operational procedures.

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What is US tg data filtering? Why is cost control so important?

US tg data filtering refers to detecting the status of numbers on the Telegram platform for lists of numbers starting with +1 (US/Canada area code) or mixed with other area codes. Common detection dimensions include:

• tg activation: Whether the number has been registered with Telegram.
• tg active: Whether there is any online or usage record on Telegram within the specified number of days (such as 7 days, 30 days).
• tg Gender: Returns gender, age and other fields based on user profile information (non-ID card level, used for crowd portraits).

On billing-by-item platforms such as KK-DATA, each test consumes the balance. If you directly perform a full set of “activation + activity + gender” testing on all original numbers at the same time, even if there are a large number of invalid numbers (not registered with Telegram), you will pay a high unit price for activity and gender testing for these invalid numbers. On the contrary, if you first use low-cost activation detection to filter out most of the invalid numbers, and then screen the activated numbers at a high unit price, the overall cost can be reduced by 50%–80%**.

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The cost structure of tg data screening in the United States: different detection types have different unit prices

The core logic of billing by item is: The more complex the detection dimensions, the higher the value of the data, and the higher the unit price. Please refer to the real-time display of the KK-DATA console for the specific price (View billing instructions), but we can understand the cost difference from the functional level.

Detection type	Typical uses	Unit price (reference)
tg activation	Verify whether the number is registered	Minimum
tg active	Filter recent online users	Medium
tg Gender	Identify gender + age	Higher (including gender + age fields)

Activating detection is the lowest cost first step

It only detects whether the number is registered with Telegram and does not care whether the user is online or has profile information. This is the cheapest detection type under pay-per-item mode and is suitable for rough screening to quickly eliminate invalid numbers.

Activity/gender detection is more expensive and highly targeted

• tg active detection: You need to specify a time window (such as the last 7 days, the last 30 days). The shorter the window, the higher the stickiness of the filtered users, which is suitable for private messages or community invitation scenarios. Even if the windows are different, the unit price is usually the same.
• tg Gender Detection: Returns the gender and age fields (some accounts are not public, so there is no data). Can be used to target men/women or people around 30 years old. Due to the high complexity of detection, the unit price is higher than active detection.

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Core strategy of cost control: “Funnel” process of first coarse screening and then fine screening

Assume that you have prepared 1 million original numbers (generated for free or with your own data) and directly conduct a full set of “activation + activity + gender” testing. Assume that the unit price of activation testing is 1 unit, activity is 2 units, and gender is 3 units. The total cost = 1 million × (1+2+3) = 6 million units; if only 30% of the numbers are activated (that is, 300,000 valid numbers), then the 700,000 invalid numbers will have to pay for activity and gender detection, which is a huge waste.

Funnel Strategy:

1. The first level (coarse screening): only submit the TG activation test and filter out unregistered numbers. Cost = 1 million × unit price 1 = 1 million units, get 300,000 activation accounts.
2. The second level (fine screening): Submit TG activity + TG gender test for 300,000 opened accounts. Cost = 300,000 × (2+3) = 1.5 million units.
3. Total cost = 1 million + 1.5 million = 2.5 million units, saving 3.5 million units (about 58%) compared to direct full-scale testing.

In actual data, the activation rate of randomly generated U.S. numbers is usually between 10% and 30%, and the saving ratio of coarse screening is even higher.

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Step One: Prepare Number Source – Generate or Import US Numbers for Free

On the KK-DATA platform, the number generation module is completely free and does not consume any balance. You can:

Use the global number generation module to obtain the US number segment

1. Log in to the console https://app.kkdata.cc/.
2. Enter “Number Generation” → select the country/region “United States”.
3. Optional number range (such as +1 212, +1 310, etc.) or randomly generated.
4. Enter the quantity (up to about 1 million items at a time) and click Generate.
5. Export to CSV or copy directly to clipboard.

Import existing number list from own CSV

If you already have a list of numbers (such as purchased data or historical accumulation), you can upload it directly:

1. Console → “Number Management” → “Import CSV”.
2. Support duplicate detection (can be filtered through deduplication warehouse later).
3. After importing, the number will enter “My Number Library” and can be used for subsequent number screening tasks.

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Step 2: Rough screening – only submit the “Telegram activation detection” task

Once you have the list of numbers, don’t rush into a full test. Create a new task and check only the tg activation detection item.

Example of steps:

1. Console → “Screen Number Task” → “New Task”.
2. Select the number source (generated list or imported CSV).
3. Detection type: Select only “Telegram activation detection”.
4. Submit the task and wait for completion (usually thousands to tens of thousands per minute, depending on the platform load).
5. After the task is completed, export the “valid number” (that is, the number that has been subscribed to Telegram). Note: At this time, the fee for these 1 million items has been deducted from the unit price of opening the test.

**Core principle: Try to spend every charge on a potentially valid number. **

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Step 3: Fine screening – activity and gender detection of valid numbers

After the rough screening is completed, you will have a batch of “Telegram enabled” numbers in your hand. Create a new task, import only this batch of numbers, and then check the fine screening test items you need:

• tg active (specified time window)
• tg Gender (including age field, can be used for targeting)

Set active time window

When creating a task, tg active detection will ask for the “number of active days” (such as 1-90 days). If you plan to conduct private message promotion, it is recommended to choose active within 7 days or active within 30 days; if it is a community invitation, you can relax it to 90 days. The unit price has nothing to do with the window length, so you can choose according to your needs.

Interpret the age field in Telegram gender data

The tg gender detection result will include gender (male/female/unknown) and age fields (such as “25”, “30”). Note: These data come from users’ public information. The accuracy rate is not ID card level, but it can be used for crowd portraits. For example, you can filter out “Male + age 25–35” as a fine-grained target. Do not interpret it as an age identification that can be accurate to the single digit, but as a tendency indicator.

After the fine screening task is completed, what you get is the final target data: activated + recently active + high-quality US TG data consistent with gender/age.

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How to use data deduplication warehouse to further save balance?

When multiple screenings involve the same number (for example, you reuse the same batch of numbers in different batches), KK-DATA’s data deduplication warehouse will automatically identify the number that has been detected and skip repeated detection, no repeated deductions.

How to use:

1. In “Number Management”, import the number into the deduplication warehouse.
2. When submitting a new task, the system will automatically compare the warehouse records, and the number that has been detected will not be deducted again.
3. Combine with the “coarse first, then fine” strategy to ensure that the same number will not be submitted repeatedly in a task (for example, you cannot put the same number into both coarse screening and fine screening tasks at the same time, because they are sequential and do not conflict).

The deduplication warehouse is particularly suitable for long-term operation scenarios: you can continuously generate new numbers, remove duplications, and screen numbers to avoid repeated waste of balances by old numbers.

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Summary of best practices for US tg data screening

The complete efficient and low-cost screening process is as follows:

1. Generate or import numbers (free).
2. Coarse screening: Only perform TG activation detection and export valid numbers.
3. Fine screening: Perform tg activity + tg gender detection on valid accounts.
4. Deduplication: Store the result number in the deduplication warehouse to avoid repeated testing in the future.
5. Export final data: CSV or TXT format for subsequent promotion.

Additional notes:

• Do not repeatedly detect the same content on the same batch of numbers (already detected numbers will be skipped by the deduplication warehouse).
• Before submitting a task, be sure to check the estimated cost displayed on the console to avoid overage.
• If the balance is insufficient, you need to recharge first (USDT TRC20 is supported, the minimum is about 50 USDT).

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FAQ

**Q: How much cost can be saved by coarse screening first and then fine screening? ** Answer: It depends on the proportion of valid numbers in the original data. Usually the activation rate of randomly generated US numbers is between 10% and 30%, and coarse screening can filter out 70% and 90% of invalid numbers. The overall savings are usually between 50% and 80%. You can estimate actual proportions using small batch testing.

**Q: How many numbers can be submitted at one time for US TG data screening? ** Answer: The platform supports up to about 1 million numbers in a single task. If your list exceeds 1 million, you can submit it in batches, or contact customer service (https://t.me/kkdata_robot) to inquire about large-capacity processing solutions.

**Q: Is the age field in tg gender detection accurate? ** Answer: The age comes from the public information filled in the user’s Telegram profile, not real-name authentication, so the accuracy is not 100%. It is recommended to be used for crowd profiling and tendency screening, and should not be used in scenarios that require precise age verification.

**Q: If I do an activation test on the same batch of numbers first, and then do an active test, will the fee for the activation test be deducted repeatedly? ** Answer: No. When you submit the activation test task for the first time, you have already paid the activation test fee for this batch number. When submitting the activity detection task for the second time, only the number will be tested for activity, and the activation detection fee will not be deducted again. Only the balance corresponding to the checked detection type will be deducted for each task.

**Q: How long does it take for the deposited USDT to arrive? ** Answer: Usually it will arrive automatically within a few minutes, depending on the confirmation speed on the chain. If your account has not been credited for a long time, please contact customer service for assistance (https://t.me/kkdata_robot).

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The above strategies have been proven effective in many overseas teams. If you want to start controlling costs and efficiently filtering US TG data immediately, please use the following entrance directly:

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Detailed document reference: https://docs.kkdata.cc/