Telegram Active Data Window Selection Guide: How to Choose Between 7, 15, or 30 Days?
关于作者
KK-DATA 获客数据筛号平台官方内容团队。
Telegram Active Data Window Selection Guide: How to Choose 7 Days, 15 Days, or 30 Days?
In overseas marketing and private message promotion, Telegram active data window selection directly determines the quality of users you reach and the cost efficiency. Many operators hold hundreds of thousands or even millions of numbers but don’t know whether to choose 7 days, 15 days, or 30 days as the active judgment standard. Choose too short, and you lack quantity; choose too long, and the response rate drops sharply. This article will help you thoroughly understand how to precisely select the active window based on your business needs, from concepts, comparisons, scenarios, testing to practical operations.
What is the Telegram Active Data Window and Why Is It Important?
The active data window refers to the parameter by which the platform judges whether a user is “active” based on the time range of their last online (or operation) activity. For example, setting the window to 7 days means the system only filters out numbers that have an online record within the past 7 days. The window length directly determines the quantity and quality of the filtered results.
Difference Between Active Window and “Online Users”
Many mistakenly think “active” equals “real-time online.” In reality, the active window is a judgment based on the user’s last activity time (e.g., sending/receiving messages, opening the app, updating avatar), and does not mean the user is currently using Telegram. The shorter the window, the closer the user is to “immediately active”; the longer the window, the more likely the user has churned but the platform still retains their historical activity records.
Impact of Different Windows on Reach Rate
- Shorter window: Higher immediate availability of users, greater probability of opening and replying to private messages, but fewer numbers meeting the conditions, potentially leading to fewer task results.
- Longer window: Larger pool of numbers, but includes many churned or low-activity users, lowering the reach rate and wasting detection costs.
Hence, choosing the appropriate window is key to balancing “quantity” and “quality.”
What Are the Differences Between 7-Day, 15-Day, and 30-Day Active Windows?
Comparison from three key dimensions:
| Dimension | 7-Day Window | 15-Day Window | 30-Day Window |
|---|---|---|---|
| Number of numbers | Smallest | Medium | Largest |
| User activity probability | Very high (recently online) | Relatively high (active within half a month) | Average (active within a month) |
| Suitable marketing scenarios | Time-limited events, instant invitations, high-return conversion | Regular private messages, group promotion, repurchase reminders | Long-term operations, brand education, content push |
| Typical reach rate (reference) | Higher, reply rate can reach 15%-30% | Medium, reply rate 8%-20% | Lower, reply rate 3%-10% |
Note: The above reach rates are empirical values; actual results are affected by content, target region, and target audience. We recommend verifying through A/B testing.
7-Day Active Window: High Immediacy, Best for Time-Sensitive Marketing
If your business requires users to respond quickly (e.g., time-limited promotions, event notifications, instant community invitations), the 7-day window is the best choice. These users use Telegram frequently recently and are more likely to open private messages and click links.
Recommended scenarios:
- Cold start for new groups, quickly invite active users to join
- 24-hour flash sale event notifications
- Polls or surveys requiring high engagement
Disadvantage: Small number of numbers. If your base pool is not large enough, the final filtered results may only be a few thousand or even a few hundred.
15-Day Active Window: Balancing Quantity and Quality, Most Commonly Used
For most daily private message promotions, the 15-day window is the golden choice. It filters out users who haven’t been online for at least half a month (low quality) while retaining enough numbers to cover more target audiences.
Recommended scenarios:
- Regular product promotion, brand notifications
- Follower acquisition, group traffic (no immediate reply required)
- Customer retention, repurchase reminders
Advantages: Controllable cost, considerable output quantity, good balance between reach rate and quality.
30-Day Active Window: Maximum Quantity, Best for Long-Funnel Operations
When you need a large number of seed users for content distribution (e.g., blog post push, course notifications), or your marketing cycle is long (feedback needed in 7-15 days), the 30-day window provides the largest pool.
Recommended scenarios:
- Batch content push (e.g., weekly newsletters, product update announcements)
- Brand education, onboarding
- Data accumulation or subsequent secondary filtering
Note: This window may include some dormant users; it is recommended to combine with gender identification or tgid export for further refined operations.
How to Choose Active Window Based on Marketing Scenario?
| Target Business | Recommended Window | Reason |
|---|---|---|
| Time-limited promotion (valid 少于48h) | 7 days | Pursues immediate reach |
| Follower acquisition, group invitation | 15 days | Balance of quantity and quality |
| Cold start, need fast seed community building | 7 days | Prioritize active users joining |
| Repurchase reminder | 15 days | Users still maintain some activity |
| Brand long-term content push | 30 days | Large number of numbers, suitable for long-term operations |
| Unknown number source, first test | 15 days | Safest starting point |
How to Validate Window Effectiveness with A/B Testing?
The best window may differ for different businesses; the most reliable way is to let the data speak through A/B testing.
A/B Testing Notes
Change only the window width each time, keeping other conditions like sending content, sending time, target region consistent; otherwise results are incomparable. It is recommended to use the same quantity per group (e.g., 5,000 each) to avoid quantity differences affecting judgment.
Steps to Design an A/B Test
- Randomly split the number pool into three groups: Equal quantity per group (e.g., 10,000 numbers), non-overlapping.
- Set active windows separately: Group 1 uses 7 days, Group 2 uses 15 days, Group 3 uses 30 days; keep other filtering parameters (e.g., gender, country) consistent.
- Execute filtering and export: Ensure each group obtains at least 1,000 active numbers (otherwise the window effect may be underestimated).
- Send the same marketing content: Same time, same template, only differentiate by window group.
- Measure indicators: Private message open rate, reply rate, click-through rate, final conversion (e.g., joining group/placing order).
- Analyze data: Compare which window yields the highest unit cost benefit (e.g., number of conversions per 100 yuan cost).
How to Optimize Subsequent Filtering Using Test Results
- If the 7-day window’s reply rate is significantly higher than the other two, and the quantity supports marketing goals, then use the 7-day window exclusively going forward.
- If the 15-day window yields the highest total conversions (even with slightly lower reply rate, due to larger base), switch to the 15-day window.
- For the 30-day window, if the reply rate is too low, consider putting it into a “long-term nurture” pool, not for immediate conversion marketing.
Steps to Set Active Window in KK-DATA
The following uses the KK-DATA platform as an example to show how to customize the window days using its tgactive detection type.
Task Cost Estimate
The console will display the estimated cost before submission; ensure your account balance is sufficient. Costs for different windows are the same because detection charges are based on the number of users, not window length (see console real-time pricing for details).
- Log in to the console: Open https://app.kkdata.cc/ and log in.
- Create a filtering task: Click “Create Task” in the left menu, select Telegram as the platform.
- Select detection type: Check tgactive (be careful not to confuse with “tgactivated” or “tgvalid”).
- Set window days: In the “Active Window” input field, enter a number such as
7,15, or30. Click confirm. - Upload numbers or import existing numbers: Supports CSV/TXT files, up to about 1 million per batch.
- Submit the task: Check the estimated cost, ensure sufficient balance, then submit. The task will notify you via Telegram upon completion.
- Export results: On the task detail page, select CSV or TXT format to export, containing number, tgid, active window tag, etc.
Data Export and Deduplication After Active Filtering
After filtering active users, you often need to perform follow-up operations:
- Export format: CSV is recommended for easy processing in Excel or CRM.
- Data deduplication: If you test the same batch of numbers multiple times, use KK-DATA’s data deduplication repository to avoid duplicate charges. Add already-tested numbers to the repository, and future tasks will automatically skip them.
- tgid export: Combined with tgid export, you can precisely locate users for bot bulk messaging or targeted invitations, reducing issues with number ranges.
Frequently Asked Questions
Q: Which performs better, 7-day active or 30-day active?
A: There is no absolute answer. 7-day active users have high immediate engagement but fewer numbers; 30-day active users have more numbers, but some may no longer be active. We recommend verifying through A/B testing for your specific business.
Q: What is the maximum number of numbers that can be tested in one filtering task?
A: A single task can test up to approximately 1 million numbers. See the console prompts for the specific limit.
Q: How long does detection take after setting the active window?
A: Detection time depends on the number of numbers and platform load, typically from a few minutes to several hours. Results can be received via Telegram notification after task completion.
Q: Does the detection result include user gender?
A: Yes. When filtering, check the “Gender Identification” option (based on avatar) to detect it together with the active window.
Q: I chose the 7-day active window, but only got a few hundred users. Is that normal?
A: Normal. The shorter the active window, the fewer users meet the criteria. If the number pool itself comes from inactive channels, the result may be smaller.
👉 Log in to the console to start filtering and experience the Telegram active data window selection feature immediately; if you need help, please contact customer service two-way at https://t.me/kkdata_robot.
For more usage guides, please visit the documentation.
Related Articles
Telegram Active Account Export Guide by Activity Window: CSV Fields and Filtering Methods for Different Activity Cycles
Learn how to export active Telegram numbers by activity window (7/15/30 days) on the KK-DATA platform. This article explains the meanings of different CSV fields, the filtering process, and precautions to help you efficiently obtain precise customer acquisition lists from Telegram communities.
Active Window Definition for Number Filtering: How 7-Day, 15-Day, and 30-Day Affect Marketing Timing
In overseas marketing, what do the active windows of 7-day, 15-day, and 30-day for number filtering actually mean? This article explains TG active definition, scenarios for choosing different windows, and optimization strategies for contact timing, helping you precisely target high-intent users. Whether you use 007data or thdata, understanding the active window is key to improving Telegram promotion ROI. FAQs included at the end. Log in to the KK-DATA console to start filtering.
Telegram Registration Numbers and Active Data: Differences, Selection, and Filtering Order Guide
In overseas marketing, what exactly is the difference between Telegram registration numbers and active data? TG registration detection only verifies registration status, while TG activity measures recent usage frequency. This article compares the two from the perspectives of detection dimensions, costs, and application scenarios, and provides optimal filtering order suggestions to help you acquire customers accurately at low cost.