How to obtain high-accuracy tg active data? Choice and practical guide between three-day active window and regular window

In B2B SaaS overseas customer acquisition, Telegram community operation and private message promotion, the quality of tg active data directly affects reach efficiency and conversion cost. Many teams invest large budgets in screening numbers, only to find that customer acquisition rates are much lower than expected - the problem often lies in the setting of the active window. This article will dismantle the system’s core differences and trade-off logic between the three-day active window and the regular active window, and provide a complete operating guide from generation, screening to use, to help you obtain the highest quality active user list within a limited budget.

What is tg active data? Why does active window days determine quality?

tg active data refers to detecting the recent online time of Telegram accounts and marking users who have been online within a specified time window (such as 3 days, 7 days, 30 days). Compared with simple “tg activation detection” (which only verifies whether the number is registered), active data can further filter out real users with recent behavior, greatly reducing invalid contacts.

The number of days in the active window directly determines the “freshness” of the data. The shorter the window (such as 3 days), the more likely the filtered users will reply to messages and click links in the near future; however, the number of eligible users will also decrease. On the contrary, the longer the window (such as 30 days), the larger the data volume, but the users may have already lost or become inactive. Understanding this trade-off is the first step in developing a screening strategy.

Basic concept of active window: from “open” to “recently online”

• tg activation detection: Only verify whether the mobile phone number has registered a Telegram account, and the result is only “yes/no”.
• tg activity detection: Based on activation, further obtain the recent online time of the account, and determine whether it is an active user based on the set window (such as 3 days). Some platforms (such as KK-DATA) also support exporting fields such as age, gender, tgid, etc. at the same time for more refined crowd targeting.

The “online freshness” corresponding to different windows is as follows:

• 3-day window: Online within 72 hours → Recently active, high response rate.
• 7-day window: online within 7 days → active in the mid- to near-term, balancing quantity and quality.
• 30-day window: Go online within 30 days → Basic active, large data volume but response rate drops significantly.

Applicable scenarios for short window (three days) vs long window (seven days/30 days)

Scenario type	Three-day window	Seven-day/30-day window
Private message marketing (such as new customer promotion)	✅ Priority selection, requiring the other party to be reachable in the near future	⚠️ Suitable for brand exposure, but the response rate is low
Limited time activities (such as 24-hour promotion)	✅ Must be used for three days, otherwise a large number of users will miss the validity period	❌ Not suitable
Long-term community operation (such as group invitation)	⚠️ Can retain core seed users	✅ Suitable for batch addition and accumulation of basic pool
Tool/notification push (such as bill reminder)	✅ Users need to check in time	⚠️ A certain delay is acceptable
Test/Research (quick feedback required)	✅ First choice	❌ Sufficient sample size but slow feedback

Three-day active window vs regular active window: core trade-off comparison table

The following table visually compares the key differences between the two windows to help you make quick decisions.

Comparison dimensions	Three-day active window	Regular active window (e.g. 7 days/30 days)
Data freshness	Very high (online within 72 hours)	Medium or low
Target population	Less (more stringent screening)	More (including medium and low active users)
Single detection cost	Higher (the shorter the active window, the more complex the detection logic)	Relatively low
Conversion Expectation	High (private message opening rate and link click-through rate have increased significantly)	Medium-low (some users have been lost)
Recommended marketing scenarios	Short-term activities, private message contact, emergency promotion	Long-term cultivation, batch addition, basic screening
Works with gender/age fields	Can be used in combination for further targeting	Can be added to, but cost needs to be weighed when the quantity is small

Note: The above unit price difference is for reference only. For actual costs, please refer to the real-time price of the platform console. Activity detection billing rates vary across platforms (Telegram, WhatsApp, Line, etc.).

How to set a three-day active window in KK-DATA to filter tg active data?

KK-DATA, as a one-stop screening platform, supports precise selection of active windows in Telegram screening tasks. Here’s a step-by-step guide.

Step 1: Prepare the numbers to be screened (generate independently or import)

You can obtain the mobile phone number to be tested through the following methods:

• Global Number Generation Module: Use the “Number Generation” function in the console, select countries/regions commonly used by Telegram (such as Indonesia, Vietnam, India, Russia, etc.), set the number segment or custom range, and generate the target number with one click. This feature is free and does not consume your balance.
• Number segment generation: If you have a number segment for a specific country or operator, you can enter the starting number and ending number to generate consecutive numbers.
• CSV Import: Upload your own user list (such as exported from CRM or collected from previous activities). Note that the file format must meet the requirements (usually a single column number, including international area codes).

Step 2: Create a new Telegram screening task and select active detection

1. Log in to KK-DATA Console.
2. Enter the “Create Task” page and select Telegram as the detection platform.
3. Check tg active in “Detection Type”.
4. In the Active Window drop-down option that appears, select 3 days.
5. Optional fields: If you need to obtain additional information such as gender, age, tgid, etc., you can check the corresponding options at the same time. Note that each test will add up to the cost and it is recommended to only select the fields you really need.
6. Upload the number file (or import directly from the number generation result), the system will automatically count the total number of numbers and display the estimated cost.
7. Submit the task after confirming that it is correct.

Step 3: Wait for the task to complete and export the results

After the task is submitted, the system will automatically perform detection. After completion, you will receive a Telegram notification (you need to set up a notification robot in the console in advance), or you can view the results directly in the task list. CSV, TXT and other formats are supported when exporting. You can filter out the numbers that are “active as yes” and further subdivide them based on fields such as gender and age.

Expenses and cost control techniques for three-day active testing

KK-DATA adopts a per-item billing model with no subscription package. The unit prices are different for different detection types (activated, active, gender) and different active windows. Because the detection complexity of the three-day active window is higher, the unit price is usually higher than that of the regular window (such as 7 days, 30 days), but the specific price difference needs to be checked at the real-time price of the console.

The following cost control tips can help you use your budget effectively:

1. Test screening in small batches first: Use 500-1000 numbers to test the active ratio for three days. If the activity rate is too low (for example, less than 5%), it means that the number quality is poor, and the number source should be optimized first instead of directly increasing the task volume.
2. Use data deduplication warehouse: If the number source contains historical detection records, use KK-DATA’s “data deduplication warehouse” function to automatically remove duplicate numbers before submitting a new task to avoid secondary deductions.
3. Reasonable combination of fields: When “tg active” and “tg gender” are checked at the same time, the total cost is the sum of the two detection items. If gender is not required, it may be more economical to select only active users first, and then perform separate gender testing on active users later.
4. Submit in batches: Avoid submitting large tasks exceeding 100,000 items at once. Submitting in batches not only makes it easy to monitor costs, but also allows you to adjust window strategies based on the first batch of results.
5. Pay attention to real-time price fluctuations: The console may adjust the unit price due to detection of resource load. It is recommended to submit tasks during off-peak hours.

Suggestions for subsequent use of three-day active data: private messaging and community operations

After filtering out three-day active users, how to efficiently utilize this batch of high-quality data? The following are implementation suggestions:

• Private message script optimization: For three-day active users, the content of private messages should pay more attention to immediacy. You can directly mention “I saw you were online recently” at the beginning to increase the intimacy. Avoid long paragraphs and limit your value points to 2-3 lines.
• Sending Timing: Combined with the time zone of the target region (for example, Southeast Asian users are used to online between 12:00-14:00 and 19:00-22:00 in the evening) and three days of active data, the open rate can be further improved.
• Avoid harassment and account ban: Even if the data is accurate, the frequency of sending must be controlled. It is recommended to only send 1-2 messages per day to a number, spaced at least 6 hours apart. In addition, be sure to use real avatars and nicknames to reduce the probability of being reported.
• Verify customer service authenticity: KK-DATA officially provides two-way contact customer service robot and human customer service (@kkdata_robot). Any “customer service” asking for private transfers or passwords is a scam, please verify through official channels.

Combination strategy of three-day active and seven-day/30-day active data

High activity and regular activity are not mutually exclusive, and smart teams will use both windows in layers. A typical combination strategy is as follows:

1. Core layer: active for three days (accounting for 20% of the budget) Focus on private messages for this group of high-quality users, and use personalized words to promote high-priced products or limited-time activities. Expected to have the highest conversion rate.
2. Expansion layer: active for seven days (accounting for 50% of the budget) Regularly reach out to users who have been active for seven days. The content can be a little concise. The purpose is to guide the community to follow or pay attention to follow-up activities.
3. Basic tier: active for thirty days (accounting for 30% of the budget) By adding community members in batches or sending broadcast messages, even if the response rate is low, you can accumulate a basic user base and make a cold start for long-term operations.

Through this tiered approach, you can use a limited budget to reach users with different response rates, while ensuring that core resources are focused on the groups most likely to convert.

FAQ

**Q: Can the three-day active detection guarantee that users will be online and reply to messages? ** Answer: No. Being active for three days only means that the Telegram account has been online in the last 72 hours, but there is no guarantee that the user is online in real time or will definitely view messages. The private message reply rate is affected by many factors such as content quality, sending time, and habits of the target area. Three days of active data can significantly improve reach efficiency, but 100% feedback cannot be guaranteed.

**Q: How much more does a three-day active window test cost than a regular window? ** Answer: The shorter the active window, the more complex the detection logic and the higher the cost. Please check the real-time price on the console for the specific price difference. Different batch quantities may also lead to unit price differences. It is recommended to conduct a small batch test comparison first, for example, submit 1,000 three-day and seven-day active tasks respectively, and observe the cost difference and activity rate.

**Q: In the “tg active” test of KK-DATA, can three-day active and seven-day active be checked at the same time? ** Answer: No. Only one window value can be selected for “Activity Detection” in a single task. If you need data from different windows, you need to create two tasks (for example, a three-day active task and a seven-day active task).

**Q: Some of the numbers I imported have been detected before. How can I avoid repeated deductions in KK-DATA? ** Answer: Use the data deduplication warehouse function. Before submitting a new task, compare the number with historical task records and remove numbers that have been detected to ensure that each screening is targeted at new numbers to avoid wasting balance. Deduplication operations usually have dedicated options on the “Create Task” page.

**Q: Is three-day active users suitable for the Southeast Asian (such as Vietnam, Indonesia) market? ** Answer: Very suitable. Telegram has a high penetration rate in Southeast Asia. The three-day active window can quickly identify recently active users, which is especially suitable for the Vietnamese market where Zalo and Telegram are used together. It is recommended to combine area code segment generation and Line/Zalo filter numbers for cross-platform verification to further confirm users’ active habits.

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By choosing your active windows wisely, combined with step-by-step operations and cost control techniques, you can maximize the value of your tg active data. Whether it is the precise reach of the three-day window or the large-scale coverage of the regular window, the core lies in clarifying the target scenario and continuously optimizing the strategy. Start your first screening task now and experience the efficiency improvement brought by high-activity data.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For more usage tutorials, please refer to the official documentation: https://docs.kkdata.cc/