What is TG activity data? Definition, acquisition methods and application guide for overseas customer acquisition

In overseas marketing, do you often encounter such a situation: there is a list of numbers for a large number of Telegram accounts, but after sending a group message, you find that many people do not reply at all, or even the account has been logged out or has not logged in for a long time? The problem behind this is often that you only have the concept of “Telegram users” in your hand, without distinguishing whether these users are just “occupying a position” or “really using it.”

This is exactly the core problem that TG Active Data aims to solve. It is not an abstract indicator, but a key data dimension that can be detected, filtered, and directly used to optimize marketing efficiency. This article will start from the definition and fully explain the detection method, application scenarios and cost-effectiveness analysis of TG active data, helping overseas teams find truly reachable users at the lowest cost.

What is TG activity data? ——From definition to application scenarios

Simply put, TG activity data refers to whether a Telegram account has a record of usage behavior within a specified time window (such as the last 30 days, 60 days, 90 days). This “usage behavior” usually includes logging into Telegram, sending and receiving messages, participating in group chats, interacting with channel content, etc. The final output activity data often includes a label of “active or not” and the approximate timestamp of the account’s most recent activity (the exact fields are subject to export by the actual service platform).

The concept that is easily confused with it is “TG activation data”. In order to help readers understand accurately, next we use a comparison table to present the real differences between the two:

TG active data vs TG activated data: core differences

Comparison dimensions	TG activation data (registration detection)	TG activity data (activity detection)
Detection content	Whether the mobile phone number has registered a Telegram account	Whether the account has been used within the specified time window
Core Value	The confirmation number corresponds to a Telegram “ID”	The person behind the confirmation account may be a real person or a long-term user
Applicable scenarios	Preliminary screening of number database to eliminate unregistered numbers	Secondary precise screening to improve reach and response rate
Typical data fields	is_registered (whether registered)	is_active (whether active), last_active_timestamp (last active time), active_window (active window)
Impact on marketing	Avoid sending messages to unregistered numbers, saving basic costs	Avoid sending messages to zombie accounts, significantly improving message reading and conversion rates

Summary in one sentence: The activation data lets you know that the number has a “number”; the activity data tells you that there is a “person”.

What fields does TG active data contain?

When you submit a TG active detection task through a professional screening platform (such as KK-DATA), the exported data file usually (but is not limited to) includes the following core fields:

• Mobile phone number: Source number.
• Registration or not: Preliminarily determine whether the number has a TG account.
• Active: Whether there is any usage behavior within the specified active window.
• Active Window: Whether this test uses settings of 30 days, 60 days, or 90 days.
• Last active timestamp: Record the approximate time of the last activity.
• TG ID: Some platforms support exporting the tgid field for more accurate subsequent operations.
• Additional fields: If gender detection is turned on at the same time, the results will also include gender, age group and other information (age data is based on model speculation and is used for directional interpretation, not an accurate value at the ID card level).

Why do overseas teams need TG active data?

In the following real overseas scenarios, the value of TG activity data is very prominent:

1. Private message marketing: Send promotional links to members of social networks or communities. If the target account has been inactive for 180 days, it is likely that no one has read it. After filtering by activity data, you can only send messages to numbers that have been used recently.
2. Community Invitation: Invite users to your Telegram group or channel. Sending invitation links to silent accounts not only wastes times, but may also lower the group’s “quality score.”
3. Customer service lead verification: Customer contacts collected manually or through automated tools first use activity detection to confirm whether the contact has been online recently to determine the contact priority.
4. Scale screening: When you face hundreds of thousands or even millions of numbers, first use TG activity detection to do a rough screening, and then conduct secondary marketing for active users, which can increase the efficiency per unit time several times.

How to detect TG active data? Common methods and processes

Obtaining real TG activity data cannot be easily achieved through the Telegram public interface. For privacy protection, Telegram’s API does not directly provide a batch query interface for “whether a user has been active within X days”. Therefore, a common practice in the industry is to use professional third-party screening platforms and their accumulated detection technology to achieve batch screening.

Active detection vs passive acquisition: Which one is more suitable for batch customer acquisition?

In the early days, many operation teams would try to “crawl” the online status manually or within the community. This is called “passive collection”. The advantages and disadvantages between them are compared as follows:

Comparison dimensions	Active detection (recommended)	Passive collection
How to operate	Submit a list of mobile phone numbers, and the system will automatically verify the active status in the background	Use crawlers or scripts to monitor online status in groups/channels
Controllability	Strong - you can fully control the numbers and active windows to be detected	Weak - only the people currently online in your group/channel can be collected
Efficiency	Extremely high - hundreds of thousands of items can be detected at a time, and can be paused or interrupted at any time	Low - can only be crawled gradually and slowly, and is severely limited by the groups you join
Account ban risk	Low - detection is completed through batch requests and compliance procedures, and does not directly use your account to operate	High - frequent grabbing of online status may be regarded as abnormal behavior by Telegram, resulting in the account being banned
Data range	Global numbers can be detected	Limited to members in your own channel/group
Most suitable for scenarios	Overseas customer acquisition, e-commerce promotion, large-scale data cleaning	Small-scale, precise active user monitoring of specific groups (not recommended for batch customer acquisition)

Conclusion: For the vast majority of overseas customer acquisition teams, proactively detecting TG active data is the only efficient and safe option.

Things to note when detecting TG active data

When using the screening platform to detect TG active data, there are a few points that need to be paid special attention to, otherwise it will easily affect the performance of the results:

1. Possibility of multiple accounts corresponding to the same mobile phone number: Does Telegram allow one mobile phone number to be associated with multiple accounts? Under current mainstream circumstances, one mobile phone number can only correspond to one TG account. Therefore, the benchmark for active detection is usually “mobile phone number + TG account bound to this number”. If your number list is very old, it is recommended to do a basic registration verification through “TG activation test” before deciding whether to perform active screening.
2. Accuracy of active window setting: Different businesses have different definitions of “active”. For short-term event promotion, it is recommended to select “Active in the past 30 days”; for long-term email preparation or community maintenance, you can use “Last 90 days” or a wider window. Platforms such as KK-DATA often select windows when submitting tasks.
3. Avoid repeated detection: Submitting the same mobile phone number twice for active detection in a short period of time will cause redundant expenses on the balance. It is recommended that before submitting a task, you use the platform’s built-in Data Deduplication Warehouse function to clear out numbers that have been tested or have results, thereby saving costs.
4. Data Privacy: Please ensure that the number list submitted is obtained through legal channels (such as user authorization, public business lists, etc.). Batch testing itself is a technical means, but the compliance of the data used still needs to be controlled by yourself.

How to interpret TG activity data? From screening to data analysis

After getting the exported active data, the table may contain hundreds or thousands of mobile phone numbers. How to quickly extract truly valuable marketing targets requires a basic understanding of interpretation.

Step 1: Set active filter conditions

• If you need to quickly find real users who “can answer messages”, you can first filter out the numbers with is_active == Yes. This has eliminated a number of “zombie accounts”.
• If timeliness requirements are extremely high (for example, if you want to promote a limited-time event), you can further filter the numbers that were last active within the last 7 or 30 days. The closer the active window is, the higher the probability of users replying.

Step 2: Targeted mining based on gender and age

If your TG activity detection package also enables gender detection, you can also use the gender field and age field to further target target users.

• Combine gender: Suppose you promote a men’s product, just filter out the numbers that are “male + active in the past 30 days”.
• Combined with age: The age field in the gender detection results is based on data model inference, which can help you filter and interpret people around 30 years old. For example, if you want to find “male users around 30 years old who have been active in the past 60 days”, then this cross filter can come in handy. However, it should be reminded that this age field is based on the inference result of the model and is not accurate data at the ID card level.

Step 3: Export and enter the marketing pool

After filtering is complete, export qualified data to CSV or TXT. This data can be imported directly into your automated sending system, CRM or tagged as “high value leads.”

Practical skills of TG active data in acquiring customers overseas

Don’t stay at the theoretical level. Only by putting TG activity data into actual business can you truly see improvements in efficiency. Here are a few efficient ways of playing that I have summarized:

• Tip 1: Phased Verification The first round: Do the “TG activation test” to eliminate unregistered numbers.
  Second round: Perform “TG activity detection” on the activated numbers and filter according to the active window (such as 30 days).
  The third round: Then do “TG gender detection or age analysis” on the selected active numbers, and the remaining batch will be your “precisely reachable user pool”.

• Tips 2: Cross-platform combination of screen numbers Many overseas teams now do more than just Telegram marketing. If you also use WhatsApp, Line or Zalo at the same time, you can submit the Whatsapp activation test + TG activity test at the same time on the same number. If a user has an active record on his WhatsApp and is also active on Telegram, then this user is a heavy user of multiple platforms and is a high-net-worth user worthy of focused operations.

• Technique 3: Data deduplication + active detection linkage Before submitting a task on KK-DATA, first clean the current number list through the “Data Deduplication Warehouse”; after detection, export the active data to the warehouse. The system can help you filter out duplicate numbers the next time you check to avoid spending money on secondary detection.

• Tip 4: Dynamically adjust the active window Set active windows based on your marketing cadence. Don’t keep using the same window. For example, use “7 days” for the promotion period and “90 days” for the subsequent maintenance period. Flexible changes can maximize the value of active data.

Cost and cost-effectiveness analysis of TG active data detection

Many teams will think: “Can’t I just write some code myself to measure the active status of several users? Why should I use a paid platform?” To clarify this issue, let’s first look at the cost comparison.

Cost type	Manual/self-written script detection	Use professional screening platform (such as KK-DATA)
Time cost	Writing scripts, registering an account, trial and error, and account ban processing → a lot of manpower	Upload the number → Submit the task → Wait → Export the results, the whole process is completed in 15 minutes
Technical risk	High - easy to be banned, false alarms or failures	Low - platform maintenance technology updates, stable detection success rate
Banning/Fund Loss	Once the account is banned, all account resources, fixed IP, and time will be lost	No additional account maintenance is required, and the risk of loss is limited to the balance of a single test
Detection scale	Limited by its own IP pool and account pool, it is difficult to scale up	Supports up to about 1 million numbers for simultaneous detection at a time
Cost calculation	The total cost of purchasing IP proxy, mobile phone card, and small number pre-recharge is much higher than billing by billing	Billing by billing, no subscription package, pay what you use; see the real-time price on the console for details

KK-DATA adopts a per-item billing model and does not require you to pay membership fees or subscription fees. The cost of each TG active detection is determined by the detection type (activation/active/gender) and the latest price of the platform. Please refer to the real-time display of the console when creating a task for the specific unit price. The recharge method supports USDT (TRC20) anonymous recharge, with a minimum of about 50 USDT. The balance will be automatically updated after arrival.

How to ensure the security and compliance of TG active data detection?

• Compliance with Platform Terms: Telegram prohibits the use of automated tools for mass harassment. The TG activity detection service provided by KK-DATA is used to verify the true usable status of the numbers. However, how you subsequently initiate communications with these numbers requires you to ensure that it does not violate Telegram’s terms of service. Please use the detected activity data for legal and compliant customer acquisition behaviors (such as sending subscription content, inviting to join official groups, etc.).
• Use anonymous recharge: USDT (TRC20) recharge method ensures privacy and security at the payment level. No need to link bank cards or reveal your true identity. KK-DATA also supports automatic update of balance, which can be used after recharging.
• Verify official channels: To prevent being cheated, the platform provides an anti-fraud query mechanism. Please confirm that the customer service you contact is @kkdata_robot, and do not easily believe that users with other names claim to be KK-DATA customer service. You can verify it through “Contact Us” at the bottom of the official website kkdata.cc or directly use the two-way contact customer service https://t.me/kkdata_robot.

Quick Start: Where to get TG active data service?

Now that you understand the definition, value and acquisition method of TG active data, there is only one operation left to submit a task before you can truly get high-quality user leads.

You can experience it directly in the KK-DATA console:

1. Access Console:https://app.kkdata.cc/。可以先用浏览器访问，注册或登录后创建项目。
2. Import numbers: Supports uploading CSV/TXT or using the “Global Number Generation” module to generate numbers.
3. Select TG Activity Detection: Select “Telegram” in the detection type and check “Activity Detection”. You can specify an active window (e.g. 30 days).
4. Submit task: The system will display the estimated deduction amount for this test in real time. Submit after confirmation.
5. Waiting for notification: After the detection is completed, you will receive a task notification in Telegram, or refresh the page to view the results.
6. Export filter results: Select CSV or TXT format to export the active number list to your local computer.

FAQ

Question: What does TG active data refer to?

Answer: TG activity data refers to whether a Telegram account has been used within a specified time window (such as the last 30 days, 60 days or 90 days). The output usually includes “whether active” and “last active timestamp”, which can tell you whether anyone has been using this account recently. It is one of the core indicators for judging user authenticity and reachability.

Question: What is the difference between TG active data and TG activation data?

Answer: The two are essentially different. “TG activation data” only verifies whether the mobile phone number has registered a Telegram account; while “TG activity data” focuses on whether the account has been used by users recently. If you only open an account but have been inactive for a long time, the messages you send may not be read or delivered. Therefore, when filtering for customer acquisition, it is recommended to check the activation status first, and then accurately screen active users.

Question: How to obtain TG active data in batches? Can I write a program to do it myself?

Answer: In theory, if you have programming skills, you can try it, but in practice it is extremely difficult. Because Telegram officially does not provide a public interface for querying active status in batches. If you want to bypass restrictions, you need to build a large number of small accounts and high-quality agent pools. The risk of account suspension is high, and the success rate is unstable. It is more recommended to use a professional screening platform (such as KK-DATA). You only need to upload the number list, set the detection type and active window to obtain data in batches. For the specific process, please refer to the “Telegram Screen Number” section under https://docs.kkdata.cc/.

Q: How much does it cost to detect TG activity data?

Answer: KK-DATA adopts a pay-per-item model and does not have a subscription package. Before each inspection, when creating a task in the console, the system will display the real-time unit price corresponding to the current platform and inspection type, and you can clearly see the estimated cost. The deposit is in USDT (TRC20), with a minimum of about 50 USDT. For details, please refer to the console and official website billing page https://kkdata.cc/billing/。

Q: Is the “Age” field in the test results accurate? Can I filter for people in their 30s?

Answer: After turning on gender detection, the age field will be included in the results. This age field is inferred based on the data model and can help you significantly narrow down the screening scope, such as targeted interpretation of people “around 30 years old”, but the accuracy is not equivalent to ID card information. It is more suitable for combined condition filtering (such as “active in the past 30 days, estimated age 25-35 years old, male”), thereby improving the efficiency of marketing decisions.

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Understanding the correct way to open TG active data is the first step to successfully acquire customers overseas. Use KK-DATA to screen out the first batch of real online active users now.

👉Log in to the console to start screening numbers Contact customer service in two ways to solve operational problems immediately: https://t.me/kkdata_robot Official website and billing details: https://kkdata.cc/ | Documentation guide: https://docs.kkdata.cc/