A Complete Guide to TG Active Data: Practical Practice on Improving Active Window, Reach Rate and Reply Rate

In overseas marketing and Telegram community operations, TG activity data has become a core indicator for measuring user quality. Different from the simple “number activation detection”, the activity level tells you whether the user has used Telegram within a specific period of time - this is the key to determining the private message reach rate and group interaction rate. This article will deeply analyze the concept of active data, the selection logic of active windows, and how to combine activity with fields such as gender and age to build a high-conversion customer acquisition strategy. Whether you are a cross-border e-commerce operator, an independent website promoter, or a Telegram community manager, you can find practical methods that can be implemented.

What is TG active data? How is activity defined?

TG activity data refers to user behavior records on the Telegram platform. In number screening platforms such as KK-DATA, activity detection will determine whether the Telegram account corresponding to a number has logged in, sent and received messages, or visited channels within a specified period of time. This is essentially different from just detecting “whether you have registered for Telegram” (i.e. enabling detection) - a number may be registered for Telegram but has not been used for a long time. Such “zombie accounts” are worthless for marketing.

Open vs Active: The difference between two key metrics

Indicators	Detection content	Marketing significance
Activation test (registration test)	Confirm whether the number has registered a Telegram account	Only existing accounts are filtered out, and it is impossible to determine whether the user is still using it
Activity detection	Determine whether an account has been used within a specified period of time	Filter out recent active users to achieve a higher private message reach rate and reply rate

In the KK-DATA screening task, you can check the “Telegram active” test alone, or in combination with activation, gender and other tests. Typical application scenarios for activity detection include: group invitation (only invite active users), private message promotion (ensure that users can receive and possibly reply), and community operation (only attract participating members).

Active window: What do 7 days, 14 days, and 30 days mean?

The active window refers to “the number of days the user has used Telegram in the past few days.” KK-DATA provides a variety of active window options, the common ones are 7 days, 14 days, and 30 days (specifically subject to console configuration). Different windows correspond to different user behavior characteristics:

• 7-day active window: Filter out users who have used Telegram in the past week. These users are in a highly active period and respond to messages the fastest, making them suitable for marketing activities that require immediate responses (such as limited-time offers, event invitations).
• 14-day active window: Covers users who have been active in the past two weeks. This is a balanced choice - the user base is larger than the 7-day window, but still maintains a high level of activity, and is suitable for most regular promotion scenarios.
• 30-day active window: Filter out users who have used Telegram in the past month. It has the largest user base and covers people who occasionally use Telegram. It is suitable for tasks such as brand exposure and long-term community building that do not require immediate replies.

Selection Suggestions: If you have sufficient budget and are pursuing high coverage, a 30-day window is the first choice; if you are pursuing a high response rate and have a limited budget, a 7-day window is better. The actual cost has nothing to do with the length of the active window and is only related to the detection type (active detection vs basic activation detection). For details, see the real-time price on the console.

Why do we need TG active data? Usage scenarios and value

The core value of TG active data lies in improving reach efficiency. The following are several typical application scenarios:

1. Private message promotion: Send promotional messages to users who have been active for 7 days or 14 days, and the response rate can be significantly higher than blind messaging. For cross-border e-commerce independent station promotion, digital product distribution and other scenarios, active data can directly reduce customer acquisition costs.
2. Community Recruitment: Screen users who have been active for 30 days and send group invitations to avoid inviting “zombie accounts” that will cause the group to become lifeless. Active users are more likely to participate in interactions after joining the group, increasing group activity.
3. Overseas market research: Accurately target high-value users in the target market by combining activity levels with fields such as country and gender. For example, select recently active Telegram users for the Southeast Asian market to conduct questionnaires or product testing.
4. Combined with other platform active data: KK-DATA also supports active filtering on WhatsApp, Line, Zalo and other platforms, which can realize cross-platform user portrait overlay and optimize multi-channel customer acquisition strategies.

How to select the active window? Find the best balance between reach and cost

The choice of active window directly affects the number of results and the reach effect. Two typical strategies are given below.

Scenarios for high-conversion private messages (short window strategy)

Goal: Pursue a high response rate, suitable for marketing activities that require immediate feedback, such as limited-time flash sales, live streaming traffic, and tool trial invitations.

Recommended active window: 7 days or 14 days.

Operating steps:

1. Create a new screening task in the KK-DATA console.
2. Import the list of numbers to be detected (can be generated through global number generation or CSV import).
3. Check “Telegram active” in the detection type and select the 7 days or 14 days window.
4. (Optional) Also check “Telegram gender (including age)” to filter the target gender to further improve relevance.
5. Submit the task and wait for completion.
6. Export active user data (CSV/TXT) and import private messaging tools for targeted reach.

Effect reference: The private message reply rate of users who have been active for 7 days is usually 3 to 5 times higher than that of unscreened users (actually it varies depending on the industry and content).

Used for high-coverage mass reach scenarios (long window strategy)

Goal: Maximize the reach, suitable for brand exposure, community warm-up, and long-term relationship building.

Recommended active window: 30 days.

Operating steps:

1. Create a screening task, select “Telegram active” as the detection type and set the window to 30 days.
2. If you need to further control costs, you can combine it with “country/region” filtering (for example, only target markets).
3. After the task is completed, export all active users and reach them in batches as planned.

Note: Long window users may include some low-frequency users. It is recommended to use it in scenarios where the response rate is not high, or to be divided into groups based on subsequent behaviors.

How to use TG active data to increase response rate?

Activity is an important basis for response rate, but it is not equivalent to 100% response. The following strategies can maximize the use of active data:

1. User stratification: Divide the active window into 7 days (high activity), 14 days (medium activity), and 30 days (low activity), and adopt different strategies for different levels. For example, 7-day users can provide high-frequency and strong promotional information, 14-day users focus on gentle contact, and 30-day users can only provide invitations and reminders.
2. Combined with the best sending time: The active window data can match the active period in the user’s time zone (needs to be obtained separately or judged based on experience). For example, for Southeast Asian users, select 8-10 pm to send.
3. A/B test content: Divide users at the same active level into two groups, test different copywriting or pictures, and calculate the response rate before solidifying the best solution.

How to use TG activity data and gender data together?

Combining activity with gender and age fields can achieve accurate crowd targeting. In KK-DATA, after checking “Telegram gender (including age)”, each record will output the gender and age range (for example, the age field can be used to interpret people about 30 years old, but it is not ID card-level accuracy).

Actual Combination Example:

• Active for 7 days + Male + About 20-35 years old: Suitable for game promotion and financial investment App new users.
• Active for 14 days + Female + Age about 25-40 years old: Suitable for beauty, maternal and infant, and workplace tool products.
• Active for 30 days + No gender limit: Suitable for community recruitment or brand exposure, with wide coverage.

How ​​to operate: Check both “Telegram Active” and “Telegram Gender (Including Age)” in the “Detection Type” of the screening task. After submission, you can obtain a comprehensive data set including activity, gender, and age.

Common operation cases of TG active data

The following three cases demonstrate step by step how to use TG active data to complete customer acquisition tasks in different scenarios.

Case 1: 7 days active + male user screening

Scenario: Mobile game promotion, targeting male players who have been active recently.

Steps:

1. Log in to the KK-DATA console and create a new screening task.
2. Import the target country number (such as Southeast Asian countries) generated by the global number generation module.
3. Detection type: Check “Telegram active” (select a 7-day window), “Telegram gender (including age)”, and set the gender to “male”.
4. Submit the task and wait for completion.
5. Export the results to obtain a list of numbers including active identification and gender.
6. Import professional private messaging tools for game download invitations.

Effect reference: Compared with blind screening, the response rate and click-through rate can generally be increased by more than 200%.

Case 2: 14 days active + screening users around 30 years old

Scenario: Promotion of financial management or workplace efficiency tools, targeting mature user groups.

Steps:

1. Check “Telegram active” (14-day window) and “Telegram gender (including age)” in the screening task.
2. The age field does not need to be set accurately. After exporting, records with an age between 25-35 years old will be screened (age is a predicted value, for reference only).
3. Leave gender unrestricted to obtain a larger sample size.
4. After exporting the data, send career growth copy to this group.

Case 3: 30-day active user community recruitment

Scenario: To establish a long-term brand community requires a wide range of members.

Steps:

1. Select “Telegram active” (30-day window) for the screening task, no additional fields are required.
2. Countries or regions can be limited to control localization costs.
3. After the task is completed, export all active numbers.
4. Send group invitation links in batches, one batch per week, to avoid being blocked by Telegram.
5. After joining the group, further screen out highly active users through activities within the group.

Joint use of TG active data and other platform active data

In addition to supporting Telegram activity screening, KK-DATA also supports activity detection on platforms such as WhatsApp, Line, and Zalo. In the cross-platform customer acquisition scenario, you can first screen out a group of high-value users through TG activity data, and then use the same batch of numbers to detect the activity of WhatsApp or Line to achieve multi-platform cross-validation. For example, if a number is shown to be active within 14 days on both Telegram and WhatsApp, the user is more likely to be a heavy social user and has a higher private message reply rate.

Operation Suggestion: Submit the same number list to activity detection tasks on different platforms, and finally export the activity status of each platform to form a comprehensive user portrait. This cross-platform joint screening strategy is particularly effective in markets such as Southeast Asia and South America.

FAQ

Q: What is TG activity data? How long can be selected as the shortest active window?
Answer: TG activity data refers to whether a user has any records of using Telegram within a specified period of time. The active windows supported by KK-DATA include 7 days, 14 days, 30 days, etc. The details are subject to the console configuration. The minimum option is 7 days and the maximum option is 30 days.

Q: Will the longer the active window be, the more users will be detected?
Answer: Yes. The longer the active window, the greater the number of users that qualify as “active”. However, the cost of each detection has nothing to do with the window length, only the type of detection (active detection vs basic activation detection). Therefore, choosing a long window will not increase the cost of a single task, but the total number of tasks will increase, and the comprehensive budget needs to be planned in advance.

Q: After filtering out TG active users, will I definitely get a reply?
Answer: Not necessarily. Activity is an important basis for the response rate, but it is still affected by many factors such as the target user group, sending content, and time. It is recommended to conduct secondary screening based on fields such as gender and age, and optimize copywriting and sending time through A/B testing to increase the response rate.

Q: Can I use TG activity data to filter users who have been inactive for a specified number of days (for example, filtering users who have been inactive for more than 30 days)?
Answer: Currently, the platform mainly supports filtering users who have been active within X days. If reverse filtering is needed (such as inactivity for 30 days), it can be achieved indirectly by excluding active detection results or combining other fields. For specific operations, please consult customer service for advice.

Q: Can TG activity data and Telegram gender data be used together?
Answer: Yes. In the screening task of KK-DATA, you can check both “Telegram Activity” and “Telegram Gender (Including Age)” in the “Detection Type” to obtain activity + gender/age data at once for accurate portraits. This is a recommended and efficient practice.

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Start screening your TG activity data now: 👉 Log in to the console, use the “Telegram active” function to quickly target high-value users. If you have technical questions or need to customize the screening strategy, please contact customer service https://t.me/kkdata_robot in both directions for support. For more product documentation, please visit https://docs.kkdata.cc/ .