Full analysis of tg active data: How to accurately screen Telegram’s highly active users when acquiring customers overseas

In the battle to acquire customers overseas, Telegram has become the core channel for connecting overseas users. Whether it is community recruitment, private message promotion or advertising, tg activity data is a key indicator to measure user quality - it directly determines whether your reach is effective and whether your conversion is reliable. Many teams get a bunch of numbers, only to find that the messages they send are ignored because they fail to filter out the truly active accounts. This article will comprehensively dismantle the dimensions, acquisition process, common misunderstandings and best practices of tg activity detection, and combine it with the operation guide of the KK-DATA platform to help you effectively target real active users.

What is tg active data? Why is it important to acquire customers overseas?

tg active data refers to the detection of the usage status of Telegram accounts over a period of time through technical means, including whether to log in, frequency of sending and receiving messages, online time, etc. It is essentially a quantitative result of the “activity” of the account, rather than a simple registration test. For overseas marketers, the value of TG activity data is reflected in three aspects:

• Improve message arrival rate: If you send a message to an active account, the probability of being read or replied to is much higher than that of a silent account.
• Reduce the risk of account ban: Send messages in batches to “zombie accounts” that have not logged in for a long time, which can easily trigger the platform’s anti-spam mechanism.
• Optimize delivery ROI: Focus your budget on real active users and avoid wasting on invalid numbers.

If you are not familiar with this concept, you can first read our [Introduction to Data Filtering for Overseas Customer Acquisition] (https://kkdata.cc/blog/) (link to blog homepage) to understand the basic data filtering logic.

What key detection dimensions does tg active data contain?

tg activity detection is not a simple “yes/no” judgment. It provides data fields in multiple dimensions to help you break down users into actionable segmented groups.

Telegram opens detection and activity window

First, we must distinguish between “activation detection” and “activity detection”.

• Activation detection: Only determine whether the mobile phone number is registered with Telegram. This is the most basic screening, but activation does not mean active.
• Activity Detection: On the basis of activation, further determine the usage activity of the account in the past period of time. KK-DATA allows you to set different active windows, such as 7 days, 30 days, and 90 days. The shorter the window, the closer the filtered users are to their current active status; the longer the window, the more users who were “once active” but have gradually retired.

Window selection directly affects data quality. For example, when promoting recent events, it is recommended to use a 7-day window; when doing long-term brand exposure, it can be relaxed to 30 days. Wrong choices may result in your private messages being sent to users who have long since abandoned their accounts.

Filter value of gender and age fields

In tg activity detection, KK-DATA will return auxiliary fields such as gender and age (model inference based on account behavior and information). These fields can be used for crowd segmentation, such as filtering out highly active users who are “male, about 25-40 years old” for targeted marketing. It should be noted that this data is model inference, and the accuracy is not ID card level, but it is enough to support the directional needs of most marketing scenarios. It should never be relied upon as absolutely accurate personally identifiable information.

tgid export and data deduplication

tgid is the unique identifier of the Telegram account and can be exported in the detection results. It has two uses:

1. Follow-up positioning: Cooperate with other tools to point directly to users.
2. Data Deduplication: Store the tgid in KK-DATA’s “Data Deduplication Warehouse”. When the same number is detected again later, the system will automatically skip the detected records to avoid repeated deductions.

How to obtain tg active data efficiently? (Operation process from zero to one)

The following takes the KK-DATA platform as an example to break down the complete process from number preparation to data export.

Step 1: Global number generation and custom import

The prerequisite for tg active detection is to have a batch of mobile phone numbers. KK-DATA provides three ways to obtain numbers:

• Global number segment generation: Covering 240+ countries/regions, batch generation by country and number segment.
• Random Number Generation: Randomly specified country or globally, suitable for blind market testing.
• CSV Import: Upload your own number list.

Number generation is completely free and does not consume your balance. After generation, the number will be entered into the “to be detected” list to facilitate the next step of submitting the task.

Step 2: Submit tg active detection task and parameter settings

Enter the console, select “Detection Task” → “New Task”, then:

1. Select the detection platform as Telegram.
2. Check the detection type: enabled, active, gender (can be selected individually or in combination). It is recommended to turn on “Activity” and “Gender” at the same time to obtain a richer user profile.
3. Set the active window: select 7 days, 30 days or 90 days according to the marketing goal.
4. Check Export tgid (if required).
5. The system will automatically calculate the estimated cost and submit the task after confirming that the balance is sufficient.

After the task is submitted, the status will change to “Processing”. After completion, you can receive a task completion reminder through the Telegram notification robot (after binding).

Step 3: Result export and data warehouse deduplication

After the detection is completed, the result file can be exported in CSV or TXT format on the task details page. The file contains fields such as activation status, active status, activity score within the active window, gender, age range, tgid, etc.

The key step: Import the exported tgid or number into the “Data Deduplication Warehouse” so that the next time this batch of numbers is detected, the system will automatically skip it and no longer deduct the balance. For teams that frequently do periodic testing, this feature can provide significant cost savings.

Typical application scenarios of tg active data in overseas marketing

The value of tg active data is reflected in multiple specific scenarios. The following are the four most commonly used cases:

1. Highly active users send private messages to groups Screen users who have been active within 7 days and send product introductions or event invitations to them. Since the other party has logged in recently, the possibility of being read is far greater than that of the “sleeping account”.

2. Target advertising to gender/age groups For example, when promoting men’s skin care products in Southeast Asia, you can turn on the “activity + gender + age” detection at the same time to screen out highly active male users aged 18-35, and then use Telegram channels or group ads to accurately reach them.

3. Replenish early seed users in the community Newly established communities require a quick cold start. Use tg activity data to filter out highly active users in multiple countries and invite them to join the community in batches, which is dozens of times more efficient than manually adding them one by one.

4. Clean the expired number database If you have a list of numbers you obtained years ago, most of them may no longer be valid. First use tg activation detection to screen out unregistered ones, then use active detection to screen out those that have not been used for a long time, and only keep valid contacts.

5. Cross-channel customer acquisition combination Combine tg active data with active data from platforms such as WhatsApp and Line to achieve multi-channel coverage. For example, if a user is inactive on tg but active on WhatsApp, you can shift your focus resources to WhatsApp.

Common misunderstandings and precautions when using tg active data

Novices are prone to fall into several misunderstandings when using tg active data. They need to understand in advance:

• Myth 1: The shorter the active window, the better Although a short window (such as 7 days) can filter out the currently most active users, it will miss some users who only come online during a specific period (such as weekends). Longer windows (like 90 days) contain more “once-active” users, but some of them may no longer be active. The selection should be based on the marketing scenario: use short windows for highly time-sensitive activities, and use long windows for long-term retention and promotion.

• Misunderstanding 2: Test results are 100% accurate tg activity detection is based on the recent network behavior of the account and is not a real-time monitoring. Users who rarely speak and only read silently may be misjudged as inactive. It is recommended to make a comprehensive judgment based on other detection dimensions (such as gender, tgid) and not rely entirely on a single field.

• Misunderstanding 3: Directly repeat the detection without deduplication After many teams get a batch of numbers, they retest them every time they do an activity, resulting in a large number of repeated deductions. The correct approach is to establish a data deduplication warehouse, export the tgid into the database after the first detection, and automatically skip subsequent detections.

• Misunderstanding 4: Ignoring compliance risks Telegram strictly prohibits spam and harassment. Even if you filter out active users, it does not mean that you can force push to them. Please abide by the platform terms and reasonably control the sending frequency and content quality.

Collaborative use of tg active data and active data on other platforms (internal link hub)

tg activity data is an important part of overseas customer acquisition, but it is not the only data source. If tg active data is cross-compared and combined with active data from platforms such as WhatsApp, Line, and Zalo, the completeness of user coverage can be greatly improved.

• WhatsApp active data: Covers areas with low tg penetration such as South America, the Middle East, and India, and is suitable to complement tg data.
• Line activity data: In Japan, Thailand, and Taiwan markets, the activity of Line is much higher than that of tg, and it can be used independently or combined with tg.
• Zalo active data: The Vietnamese market is almost monopolized by Zalo. Screening Zalo active users individually is a necessary action to enter Vietnam.

The recommended approach is to first generate numbers for the target country in batches through KK-DATA’s global number generation, then submit active detection tasks on different platforms for the same batch of numbers, and finally export comparative analysis. This way you can identify which users are active on tg and which are active on WhatsApp to develop a channel prioritization strategy.

For more information on how to obtain active data on other platforms, you can read our related articles: “WhatsApp Active Data Guide”, “Introduction to Line Screening”, “Zalo Customer Data Acquisition Method” (respectively linked to the corresponding blog articles).

FAQ

**Q: Can tg active data be guaranteed to be 100% accurate? ** Answer: No. tg activity detection is based on the inference of the recent online behavior of the account, and there is a certain error, especially for accounts that rarely speak. It is recommended to make a comprehensive judgment based on other dimensions (such as gender, tgid).

**Q: Is the longer the active window setting, the better? ** Answer: Not necessarily. A long window (such as 90 days) will include more users who were “once active” but are currently retired, while a short window (such as 7 days) will be closer to the current active status. You need to choose according to the marketing scenario: use a short window to attract new customers, and use a long window to promote activation.

**Q: What is the use of the tgid exported after detection? ** Answer: tgid is the unique identifier of the Telegram account, which can be used to directly locate the user in the future (cooperating with other tools), mark the detected number in the deduplication warehouse, and avoid repeated deductions.

**Q: What batch size does KK-DATA’s tg active detection support? ** Answer: A single task supports up to about 1 million numbers. You can check the estimated fee before submitting, and submit only when the balance is sufficient.

**Q: If I am not satisfied with the test results, can I get a refund? ** Answer: TG active detection is billed on a per-item basis, and the balance that has been consumed after the detection is completed is not refundable. It is recommended to use a small number of numbers for testing before formalizing the big task, and then submit in batches after confirming that the detection fields and windows meet the requirements.

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Now you have mastered the filtering logic and practical methods of tg active data. Whether you are a just starting overseas team or a mature operation that needs to optimize data quality, the correct use of tg active data can improve your customer acquisition efficiency to a new level. Start your first screening task now:

👉Log in to the console to start screening numbers Or get one-on-one support through two-way contact customer service bot: https://t.me/kkdata_robot

Need a more detailed introduction to platform features? You can check usage documentation.