A complete guide to screening effective TG numbers in the United States: Cost control funnel from activation detection to active list

For overseas marketing, cross-border e-commerce or community operation teams, US valid TG number is the first step to open Telegram customer acquisition channels. But the definition of “valid” is not single - is the number registered with Telegram? Are you active after registering? Do the active duration and scenarios match your marketing goals? If you purchase unfiltered numbers directly or import them in batches, you will not only have a low conversion rate, but also waste valuable detection budget.

This article starts from a practical perspective and designs a funnel strategy of “activate detection → active detection → gender/age stratification”. Through two layers of screening, you can obtain truly accessible US TG valid numbers while avoiding repeated testing, so that every penny spent is wisely spent. The whole text is operated with the KK-DATA platform, so you can learn and use it immediately.

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Why do U.S. TG numbers require “activated → active” double-layer screening?

Many teams only do one activation test and think that the number is “valid” if it is registered with Telegram. But in fact, when doing private message promotion, group invitations or airdrop activities on Telegram, only active users have conversion value**. A large number of registered numbers may have been abandoned, restricted, or offline for a long time. Messages sent to these numbers will not only fail, but may also trigger platform risk control.

The logic of “activate → active” double-layer screening is:

• Level 1 (Activation Detection): Quickly filter out US numbers that have registered with Telegram, excluding empty numbers and unregistered numbers, and the cost is low.
• Level 2 (Activity Detection): Further identify active users with login behavior in the last 7 days, 30 days or a custom window among the activated numbers, with higher accuracy.

Through funnel screening, the US valid TG numbers you finally get are actually the “opened and active” list. The private message reply rate and group joining rate of this kind of list can be 3 to 5 times higher than that of pure activation numbers. At the same time, hierarchical testing can also control the budget on demand - first spend a small amount of money to do activation testing, and then do active testing on qualified numbers, so the overall cost is more controllable.

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Activation detection: Determine whether the number has been registered with Telegram

The activation test is the most basic verification, and the test result is only “activated” or “not activated”. For scenarios that require rapid expansion of the seed user base (such as group invitations and channel subscriptions), activation detection is sufficient. But if your goal is private message conversion or precise delivery, you must go to the next level.

How to prepare a number list: locally generated or global number segment generated

There are two ways to obtain a list of US numbers:

• Own List: If you already have a list of US mobile phone numbers on hand (for example, purchased from a business database or a third party), you can directly upload CSV/TXT.
• Platform Global Number Segment Generation: Use KK-DATA’s “Global Number Segment Generation” module and select the country “United States” to randomly generate a specified number of numbers or import a custom number segment CSV. The generation function is completely free, and the screen numbers are only charged on a per-item basis.

Execution and result interpretation of activation test

The steps in the KK-DATA console (app.kkdata.cc) are as follows:

1. Create a new task and select the detection type as “Telegram activation detection”.
2. Import the number list (supports CSV, TXT) and make sure the number contains the country code (such as +1xxxxxxxxxx).
3. Submit the task and wait for processing to complete (usually a few minutes to tens of minutes, depending on the quantity).
4. After the task is completed, export the results.

The output fields include: mobile phone number, tgId, and whether it is activated (true/false). If you select “Export only activated numbers”, you will directly get a list of US Telegram activated numbers.

Note: Activating detection will not provide any online status information. Although some numbers are activated, they may not have logged in for several months. Such numbers will be filtered out during active detection. The next section will talk about how to filter further.

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Activity detection: filter out valid users who are actually active

Based on the activation detection, activity detection additionally determines whether the number has logged in within the specified time window. This is crucial for private message promotion, airdrop collection, group interaction and other scenarios - only active users will see the message and react in time.

How to choose the active window? 7 days vs 30 days vs custom

Different active windows correspond to different marketing scenarios:

Active window	Applicable scenarios	Conversion rate expectations	Detection unit price (reference)
7 days	Short-term marketing activities, limited-time airdrops, emergency notifications	High	Higher than activation detection
30 days	Regular private messages, group invitations, brand promotion	Medium to high	Medium
Customization	User targeting for a specific period of time (such as holiday activities)	View window settings	Pay-as-you-go billing

Recommendation: If you are screening US users for the first time, start with a 30-day active window to balance conversions and costs. Subsequent adjustments can be made to a narrower window based on the effect. It should be noted that the single deduction for active detection will be slightly higher than that for pure activation detection. For details, see the real-time price on the console.

Combine gender/age to further stratify

If the target group has a specific profile (for example, for male users, working people around 30 years old), the “Telegram gender recognition” function can be turned on at the same time during active detection. The detection results will include fields such as gender, age, avatar, etc.

Important note: The tg age field is an inference based on the user’s public information and behavioral characteristics. It is not an exact value**, but a rough range (for example, 25~35 years old). You can’t get accurate age at ID level, but it’s enough for population stratification. For example, filter out numbers that are “active and have an age field between 28 and 35 years old” to promote workplace or financial products.

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List stratification and cost control: How to make the best use of your budget

The core of funnel screening is to do low-cost coarse screening first, and then do high-cost fine screening for subsets. Specific strategies:

• Step 1: Perform activation testing on a large number of numbers (for example, 100,000), which will cost about 100,000 activation fees.
• Step 2: Assuming the activation rate is 60%, 60,000 activated numbers are obtained. To perform active detection on these 60,000 items (30-day window), it costs 60,000 active items.
• Step 3: Assume the activity rate is 40%, and get 24,000 active numbers. If gender/age stratification is also needed, then test these 24,000 items.

In this way, the total cost = 100,000 * activation unit price + 60,000 * activity unit price. Compared with directly doing activity detection or gender detection on 100,000 items, it can save significant costs.

In addition, KK-DATA provides a “data deduplication warehouse” that can automatically compare numbers in historical tasks before importing numbers to ensure that the same number will not be repeatedly detected and charged. It is strongly recommended to use this function before each new task.

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6 steps of practical operation: complete a valid TG number screening in the United States

Here is a set of replicable steps to get the final active roster from scratch:

1. Open the console → Log in to app.kkdata.cc and enter the “Screen Number” module.
2. Import/Generate US Numbers → Upload your own CSV, or use “Global Number Generation” to generate a batch of US numbers for free (5000~50000 are recommended for initial testing).
3. Submit activation test → Select “Telegram activation detection”, submit the task, and wait for completion.
4. Export activation results → Filter the numbers with “activation=true” and export them to CSV.
5. Import the activated number into active detection → Create a new task, select “Telegram Active Detection”, set the active window (such as 30 days), and import the activated number from the previous step.
6. Export final list → After the task is completed, export the numbers with “active=true”. If gender/age is required, you can enable the corresponding fields.

The entire process can be completed within 30 minutes, and the larger the batch, the longer it will take. In the end, what you get is a batch of high-quality US TG valid numbers (meaning registered and active in the past 30 days).

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FAQ

**Q: Does a valid TG number in the United States mean “opened” or “active”? ** Answer: Usually “valid” means registered with Telegram (i.e. activated), but in marketing scenarios it is more recommended to use an “active” number. The screening funnel for valid TG numbers in the United States in this article includes both activation testing and active testing. You can choose the final list level according to your needs.

**Q: Are the deductions for activated testing and active testing the same? ** Answer: It’s different. The activation test verifies whether the number is registered; the active test additionally detects online behavior within the last specified number of days. Please check the real-time price of the console for the specific unit price. Usually the unit price of active detection is higher than that of activated detection.

**Q: How many US numbers can be detected at a time? ** Answer: A single task supports up to about 1 million US numbers. However, it is recommended to submit in batches based on budget and task complexity to avoid occupying a large balance at the same time.

**Q: How to avoid detecting the same number repeatedly? ** Answer: KK-DATA provides a data deduplication warehouse that can automatically compare numbers in historical tasks before importing numbers to avoid repeated deductions. It is recommended to use the deduplication function every time you create a new task.

**Q: What fields does the exported data after detection contain? ** Answer: Depending on the detection type, the fields include: mobile phone number, tgId, whether it is activated, whether it is active, active days, gender, age, avatar, etc. The details are subject to the console export column.

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Complete a US TG number screening according to the above funnel, log in to the KK-DATA console to start the first round of activation testing. 👉 Log in to the console to start screening numbers or contact customer service https://t.me/kkdata_robot in both directions for real-time support. For more usage tutorials, please refer to Official Documentation.