How to obtain an active TG number in the United States efficiently? Complete funnel tutorial from activation detection to active screening

In overseas marketing, cross-border e-commerce and community operations, US active TG numbers are a type of high-value data - they represent real users who have registered on the Telegram platform and have had recent activities. However, many teams only rely on “activation detection” (verifying whether the number is registered) to reach directly. As a result, they find a large number of zombie accounts and abandoned accounts, which not only wastes marketing resources but also lowers the conversion rate. This article introduces a set of layered funnel strategies from activation of testing to active screening to help you accurately obtain active TG numbers in the United States and effectively control testing costs. Whether you operate independently or collaborate in a team, this method can be implemented directly.

What is a US active TG number? Why do we need to enable and activate dual screening?

US active TG numbers are phone numbers that meet two conditions:

• Already opened (that is, registered) on the Telegram platform.
• Activities (logging in, sending and receiving messages, group interactions, etc.) occurred within the specified time window (such as 7 days, 30 days, 90 days).

If you only do the activation test, you may get a “zombie account” registered half a year or a year ago, and there will be almost no response after sending a message. After adding active detection, users who have not logged in for a long time can be filtered out, significantly improving the reach rate and marketing ROI.

The value of double screening:

• Reduce the proportion of invalid contacts and save sending costs.
• Improve user response probability and optimize subsequent conversion funnel.
• Can be combined with additional fields (based on behavioral inference) such as gender and age to further hierarchical targeting.

US Active TG Screening Funnel: Why Does Testing Order Matter?

Many novices directly submit their numbers for activity detection and ignore activation detection. This will result in: a large number of unregistered numbers being included in the deductions, which is a waste of budget. The correct logic is to establish an “open → active” funnel:

1. Level 1: Activation Detection - Filter out all numbers that are not registered in Telegram and only keep the “activated” set.
2. Level 2: Activity Detection - Detect the active status of subscribed numbers and further filter by time window.

The core concept of this sequence is narrow first and then wide: use the most basic threshold to reduce invalid data to the greatest extent, and then perform refined screening in the valid pool. In addition, it is recommended that before formal large-scale screening of numbers, a small number of samples should be selected for testing (for example, 2000~5000), observe the activation rate and activity rate, and then decide whether the number range or active window needs to be adjusted. This hierarchical strategy of “small sample test → evaluation → amplification” can effectively control the total cost.

Detection sequence	Target	Cost consumption	Recommended scenarios
Activate → Active	Filter out unregistered first, then refine active numbers	Only perform activity detection on activated numbers, the cost is linearly controllable	General best practices
Activate directly	One-vote screening	The activity detection fee will be deducted for unactivated numbers, which is a waste of resources	Not recommended unless the number pool is known to be fully activated

Step one: Use activation detection to filter the US TG base list

Preparing the input list for activation detection

You need to prepare a list of US numbers to detect (must start with +1). Two common sources:

• Own Number Library: US numbers obtained from historical registration, form collection and other channels.
• Global Number Generation: Use the global number generation tool (free) provided by KK-DATA, select the United States (+1) and the required number segment to generate a random number. There is no charge for the generation itself, only the screen numbers are charged on a per-item basis.

Recommendation: During the initial test, just generate 3000~5000 items and observe the activation rate. If the activation rate is low (for example, less than 5%), the number segment may be of poor quality, and the number segment can be replaced and regenerated. The generated numbers can be imported via CSV or submitted by pasting directly into the console.

Interpret the activation test results

After submitting the activation detection task, the platform will return the activation status of each number (0=not activated, 1=activated). When exporting CSV, it is recommended to keep only the “activated” numbers and save them separately as a new list. Never use unactivated numbers for subsequent activity detection, otherwise it will increase costs.

Step 2: Perform activity detection on the activated number

Submit the list of activated numbers exported in the first step to the Telegram activity detection task. Fields for active detection include:

• Is it active within the specified time window (0/1)
• Last active timestamp (partially exported)
• Gender (male/female/unknown)
• Age (approximate range, e.g. 18-24, 25-34, etc.)
• Avatar, nickname, etc. (optional fields)

How to set active time window?

When submitting liveness checks, you can select different liveness windows:

• Active within 7 days: The most stringent, users have recently been active, but the number may be small.
• Active within 30 days: Balances quantity and activity level, suitable for most marketing activities (such as community invitations, event push).
• Active within 90 days: Wider scope, including some “occasionally online” users, suitable for long-term cultivation or brand exposure.

Selection Suggestions: If your marketing cycle is short (such as a limited-time promotion), use a 7-day window; if it is a general continuous reach, use a 30-day window; if you only need basic activity, use 90 days. After setting up the window, the final exported number is the US Active TG Number.

Additional fields available for active detection

In addition to active status, fields such as gender and age can also be obtained (inferred from public behavioral data, non-ID card level accuracy). For example, you can filter out active TG users in the United States who are “men around 30 years old” for targeted advertising or content push. It should be noted that these fields are references of statistical significance and should not be used as an absolute basis for judgment.

How to control costs during the inspection process? List layering and deduplication warehouse

Under the itemized billing model, avoiding repeated detection is the core of cost control. The following two methods are very practical:

1. Data deduplication warehouse: KK-DATA provides cross-task deduplication function. When submitting a new task, the system will automatically compare the existing detection records, skip the numbers that have been detected, and no longer deduct fees repeatedly. It is recommended to turn on the “Remove Duplicate Warehouse” function in the console before submitting any tasks.
2. Small sample stratified testing: Don’t submit 100,000 items at the beginning. First use 5,000 numbers for activation testing. After obtaining the activation number, use 500 of them for activity testing to observe the activation rate and activity rate. If the data meets expectations, then gradually expand. In this way, even if the opening rate is very low, the loss will only be within the controllable range.

Practical steps to complete US active TG screening using KK-DATA

The following is the complete operation process (taking the console web interface as an example):

1. Log in to the console → https://app.kkdata.cc/
2. Prepare the US number segment: Use the “Global Number Generation” tool, select the country “United States” (+1), enter the quantity (such as 5000), and export the CSV after generation; or directly upload your own list.
3. Create Telegram activation detection task: Select the “Telegram” platform in “Screen number task”, select “Activation” as the detection type, upload the number file, and submit the task.
4. Export activated numbers: After the task is completed, export the list of “activated” numbers (CSV format) in the task details.
5. Create Telegram activity detection task: Select the same platform “Telegram”, select “Active” as the detection type, set the activity window (such as 30 days), upload the activated number exported in the previous step, and submit the task.
6. Export final activity data: After the task is completed, export a CSV containing fields such as “Activity Status”, “Gender”, and “Age”.
7. Repeat and utilize the deduplication warehouse: If you need more quantities, you can regenerate new numbers, and the system will automatically deduplicate to avoid repeated deductions for the detected numbers.

Common misunderstandings in screening active TG numbers in the United States

• Misunderstanding 1: Doing active detection directly without first doing activation detection - As a result, a large number of unactivated numbers are also charged according to active detection, doubling the cost. Correction: activate first and then become active.
• Misunderstanding 2: Ignoring the duplicate warehouse - Submitting the same batch of numbers repeatedly will result in multiple deductions. Correction: Enable the deduplication warehouse and check the deduplication option when importing tasks.
• Misunderstanding 3: The active window is set too short - For example, a 7-day window is always used, resulting in very few active numbers available and insufficient samples. Correction: Flexible to adjust based on marketing cycle and sample size, initially available for 30 or 90 days.
• Misunderstanding 4: Blindly relying on gender/age fields - These fields are inferred values ​​with limited accuracy and are not suitable as the only filtering criteria. It is recommended to combine cross-validation with other behavioral data.

FAQ

**Q: What is the difference between enabled detection and active detection? ** Answer: The activation test only determines whether the number is registered in Telegram (a valid number); the activity test further determines whether the number has had any activity (such as logging in, speaking) within the specified time window. A combination of both is required to obtain a true US active TG number.

**Q: Will fees be deducted for detecting unactivated numbers? ** Answer: Yes, under the pay-per-item model, each submitted number will be tested and charged, regardless of whether the result is activated or not. Therefore, it is recommended to test with a small sample first to reduce the cost of detecting invalid numbers.

**Q: How to avoid repeated detection of the same number resulting in excessive deductions? ** Answer: You can use the data deduplication warehouse function of KK-DATA. When submitting a new task, the system will automatically compare the existing detection records and skip the already detected numbers to avoid repeated deductions.

**Q: How long does it take to detect active TG numbers in the United States? ** Answer: It depends on the number of tasks. A single task supports a maximum of about 1 million entries. Generally, activation detection of several thousand entries can be completed within a few minutes. Active detection may take a little longer due to the time stamp comparison involved. The details are subject to the console task status.

**Q: Are the gender and age fields in activity detection accurate? ** Answer: The platform infers through public behavioral data, with non-ID card level accuracy. It can be used for macro analysis of population preferences (such as screening users around 30 years old), but should not be used as an absolute basis.

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The above is the complete funnel tutorial from activation detection to active screening. If you want to get started and experience it directly, you are welcome to log in to the console to start screening numbers, or contact customer service for one-on-one guidance. More details can be found in the official documentation.

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