How to determine the re-screening cycle for active TG in the United States? Detailed explanation of number status changes, task timestamps and update trigger conditions
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How to determine the active TG re-screening cycle in the United States? Detailed explanation of number status changes, task timestamps and update trigger conditions
After the overseas marketing team accumulates a batch of active American TG numbers, they often think that they can get rid of them once and for all. In fact, Telegram users’ account status, activity window, and platform rules are all changing dynamically. If US Active TG is not re-screened regularly, the marketing reach rate will decrease month by month, and even the large number of invalid numbers will cause the sending cost to soar and the account risk to increase. This article starts from the law of number status changes, explains in detail how to set the rescreening cycle, and combines the operation examples of the KK-DATA platform to help the team achieve long-term data preservation.
Why does US active TG data need to be rescreened regularly?
The result of a screening number reflects the status of the number at the detection time. And the actual status of the number is dynamic:
- Users may log out of their accounts, change their mobile phone numbers, or enter long-term silence.
- The account may be banned by Telegram due to abnormal behavior, resulting in a change in activation status.
- The activity window (such as active in the past 30 days) will naturally scroll, and the originally active number may become inactive because the user is not logged in.
For example: if you screen out 10,000 US active TG numbers on the 1st of this month and use them directly for mass distribution the next month, 20% to 30% of them may no longer be valid. Therefore, regular re-screening is the core means of data preservation and the key to reducing marketing waste.
Main factors affecting the status of active TG numbers in the United States
Time window and activity determination rules
KK-DATA’s activity detection supports specifying activity windows. Common options include:
- Active in the last 7 days: Suitable for high-frequency, time-sensitive marketing scenarios.
- Active in the past 30 days: Suitable for general and precise contact.
- Long-term inactivity: Can identify lost users.
If the number’s last login time exceeds the window you set, the number will be marked as “inactive” in the export results. This batch of numbers does not mean cancellation, but the probability of being active in the short term is very low. It is recommended to lower the priority or process them separately during re-screening.
Account life cycle and status decay cycle
The life cycle of a Telegram account can be roughly divided into:
- Initial registration (first 1~2 weeks): The activity is high, but if you do not use it continuously, it will quickly turn to low activity.
- Stable active period (1~6 months): Log in and use frequently.
- Decline period: The login frequency decreases, and you may eventually enter a state of not logging in for half a year.
- Logout Period: Users are actively deleted or passively banned.
For US active TG numbers, if the source is a new number obtained by “Global Number Generation + Empty Number Detection”, it is recommended to rescreen once a week in the first 3 months; if the source is a verified old number database (such as messages have been sent in the past and there is no unsubscription), the rescreening interval can be appropriately extended.
How to reasonably set the re-screening cycle for active TG in the United States?
There is no one-size-fits-all cycle, and the best strategy should be formulated comprehensively based on marketing frequency, number quality, and budget.
Set rescreening frequency according to marketing scenarios
| Scenario | Recommended rescreening cycle | Reason |
|---|---|---|
| More than 5,000 mass messages per day | 7 days | High-frequency sending requires high freshness of numbers to avoid a large number of failures triggering risk control. |
| Mass messaging 2 to 3 times a week | 14 days | Number timeliness requirements are average, and status changes within 15 days are acceptable. |
| Small batch testing once every two weeks | 30 days | High tolerance for activity rate, which can reduce screening costs. |
| Long-term reserve (for future activities) | 45~60 days | The number pool is large, and the core batches can be rescreened every month. |
Adjust the period based on number source and historical data
- Newly generated US number (from the global number generation module): It is recommended to add active detection within a week after opening the detection for the first time, and then re-screen according to high-frequency scenarios.
- Historically Highly Active Numbers (continuously active in the past 30 days): can be extended to re-screening every 14 to 21 days.
- Low active or expired numbers: The rescreening interval needs to be shortened, such as 5 to 7 days, in order to capture the opportunity for users to become active again.
Cycle suggestions
For marketing scenarios with a daily sending volume of more than 5,000 items, it is recommended to rescreen the US active tg at least every 7 days; for small batch testing, rescreening every 15 days is sufficient. The actual cycle can be flexibly adjusted in the console based on historical activity rate data.
Detailed explanation of task timestamp and update trigger conditions
In KK-DATA, every time the screening task is completed, the result will be accompanied by a detection timestamp. This timestamp indicates that the number status is a snapshot as of the end of the task. If the number status changes later, you must resubmit the detection task to update the data.
- Update trigger condition: Only after the console submits a new screening task to the new number list or old number list and completes the detection, the results will be overwritten or appended.
- Balance deduction logic: Each detection is billed based on the number of numbers (see the real-time price on the console for details). Using the “Data Deduplication Warehouse” can avoid repeated submission of the same number, but deduplication only saves submission fees, and actual detection is still charged on a per-item basis.
- Time Stamp Function: The “Detection Time” field in the exported result file can be used to distinguish different batches of data to avoid confusion between old and new data.
Important reminder
The number status is based on the latest detection time. After the task is completed, the result only represents the active status at that time. It is recommended to re-test a batch of core numbers before each broadcast and not to rely on data that is more than two weeks old.
Active TG re-screening operation process in the United States (KK-DATA example)
The following takes the KK-DATA platform as an example to demonstrate how to initiate re-screening of the existing US active tg number database and use a deduplication warehouse to reduce repeated deductions.
Step 1: Prepare the list of numbers to be re-screened
- Log in to Console.
- Find the last exported CSV file of US active numbers (containing the “Phone Number” column) in “Number Management”.
- If the numbers are scattered in multiple files, they can be merged into a list, but please note that the maximum number supported is about 1 million.
Step 2: Use data to deduplicate the warehouse
- Enter the “data deduplication” function and upload the number to be tested this time.
- The system will automatically match numbers that have been detected in history and mark duplicates. You can choose to eliminate duplicate numbers and only submit tasks for numbers that are added or have status changes, thereby saving balance.
- Note: The deduplication warehouse is only used to avoid duplicate submissions, but new detection will inevitably incur fees.
Step 3: Create a rescreening task
- Click “New Task” and select the detection platform as “Telegram”.
- Check the detection type:
- Activation Test (confirm that the number is still registered and can receive messages)
- Activity Detection (specify active window, such as the last 30 days)
- Gender Detection (if you need to know the target group profile)
- Upload number list (supports CSV/TXT or direct paste).
- The estimated cost will be displayed in the interface (the actual deduction will be based on the completion of the task).
Step 4: Submit and wait for notification
- After submitting the task, you can turn on the “Task Completion Notification” (bind the Telegram robot) and automatically receive notifications after the task is completed.
- You can check the progress in real time on the console. The duration of the task depends on the number of numbers (usually a few minutes to a few hours within 1 million).
Step 5: Download new results and replace old data
- After the task is completed, export the newly filtered US active tg numbers (active is yes, activated is yes).
- Delete old files and import new lists into marketing tools. It is recommended to include the detection date in the file name (such as
us_active_tg_20250701.csv).
Common re-screening misunderstandings and best practices
Misunderstanding: Screen number results can be used indefinitely
Correct approach: If the number status changes dynamically, review the core active database at least monthly. For high-frequency marketing scenarios, rescreen every 1 to 2 weeks. Rescreen reminders can be set in the calendar.
Misunderstanding: Ignoring activity window settings
Correct approach: Choose an active window appropriately based on your sending frequency. If it is sent once a week, it is enough to be active for the past 7 days; if the sending interval is long, it is more reliable to be active for the past 30 days.
Best practice: Combine with Telegram notifications for timely updates
- Enable task completion notification in KK-DATA, download new numbers as soon as the re-screening results come out, and replace the old list.
- It is recommended to fix the re-screening process as a weekly/bi-weekly automated operation to avoid forgetting.
FAQ
**Q: How long does it take to rescreen for active TG in the United States? **
A: The duration depends on the number of numbers in the task and the type of detection. A single task supports up to about 1 million numbers. The specific progress can be viewed in real time on the console, and the time usually ranges from a few minutes to a few hours.
**Q: What should I do if the re-screening results are inconsistent with the original results? **
Answer: The number status changes dynamically, and the rescreening results reflect the latest activity. If you find that the activity rate has dropped significantly, it is recommended to check the number quality or optimize the acquisition source.
**Q: Will there be repeated deductions for re-screening? **
Answer: The balance of KK-DATA will be deducted according to the number of tests, and each number will be charged for each test. You can use the “data deduplication warehouse” function to avoid repeated submission of the same number, but the retest itself will inevitably incur costs.
**Q: How do I know if a number has exceeded the active window? **
Answer: When selecting the “Telegram active” detection type in the KK-DATA console, you can specify the active window (such as the past 30 days). The filtering results will mark whether the number is active within the window.
**Q: Can only part of the numbers be tested during re-screening? **
Answer: Yes. You can freely import or paste the number list in the console, or you can manually filter the existing export results and then submit the rescreening task.
Regular re-screening of US active TG is a basic action to maintain marketing effectiveness. By setting reasonable cycles, using data deduplication warehouses, and combining task notifications, the team can strike a balance between controlling costs and ensuring efficiency. Log in to the KK-DATA console immediately to experience the re-screening process, or contact customer service to get personalized re-screening suggestions.
👉 Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot Learn more: https://kkdata.cc/ | Usage Documentation
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