How long does it take for tg filtered data to expire? One table controls the shelf life and re-screening rhythm of Telegram number screening

When acquiring customers overseas, many teams rely on tg filter to verify the validity, activity, and gender tags of Telegram numbers. But a problem that is often overlooked is: Filter results will decay over time. The status of a number is not static - users may cancel their account, modify their profile, or be inactive for a long period of time. If you use filter results from a month ago or even earlier to send mass messages, the open rate may plummet, which is a waste of time and budget.

This article will systematically answer: **How ​​long is the “shelf life” of Telegram’s filtered data? ** We will compare the decay speed of fields such as activation, activity, gender, etc., give a recommended re-screening periodic table, and teach you to use KK-DATA to complete secondary filtering at low cost. Whether you are doing private message promotion, community invitations or precision marketing, mastering the rhythm of data preservation can significantly improve customer acquisition efficiency.

Why does the data filtered by tg “expire”?

The account behavior of Telegram users is dynamic. A tg filter can only reflect the state of “that moment”. The following factors can cause data to become stale:

• Account canceled or blocked: Users may actively delete their accounts or be blocked by Telegram due to violations. According to industry experience, about 1%~3% of numbers will become invalid within a month.
• Activity Fluctuation: Users may switch jobs, change mobile phone numbers, or temporarily stop opening Telegram. A number that was active last week may have “gone cold” this week.
• Personal Information Update: Avatar, nickname, and introduction (including gender/age information) can be modified at any time. The gender detection result depends on the profile field, and frequent changes will cause the label to become invalid.

Therefore, it is not feasible to “screen once and be effective forever”. The data retention period of tg filtering depends on the specific detection dimensions.

Open status vs activity vs gender - different fields decay at different speeds

Detection type	Typical reasons for changes	Average freshness period (experience reference)
Activation status (whether Telegram is registered or not)	User logged out/banned/number withdrawn by operator	Relatively stable, credibility is still >95% within 3~6 months
Activity (7 days/30 days online)	Changes in users’ daily login habits	It may decrease by 10%~20% after 7 days
Gender+Age (profile analysis)	The user modifies the avatar/profile/age field	The accuracy rate drops significantly in about 30 days

Key Conclusion: Activity is the most changeable field; activation status is the most stable; gender tags need to be refreshed regularly.

Three core factors that affect the shelf life of tg filtered data

1. Frequency of behavior of target users: If your target users are community members who frequently use Telegram (such as currency circles and e-commerce groups), their accounts will change quickly; on the contrary, low-frequency users will be relatively stable.
2. Operation stage: Numbers that have just completed a round of screening and are reached immediately have the highest degree of freshness; if a second round of messages is sent after 2 to 3 weeks, the activity may have dropped significantly.
3. Original number source quality: Numbers captured from public groups often contain more expired or low-active accounts; while numbers obtained through number segment generation or official channels have better initial quality and longer shelf life.

One table to understand: Recommended re-screening cycles for different tg filter types

The following table summarizes common Telegram filtering detection types, recommended rescreening cycles, and applicable scenarios. Note: This is an experience reference, not an absolute standard; the actual price and detection options are subject to the real-time display of Application Console.

Test type	Recommended rescreening cycle	Applicable scenarios
tg activation (only to verify registration)	Once every 3~6 months	Long-term number cleaning to reduce the base of invalid numbers
tg active for 7 days	Once every 7~14 days	Private message promotion, community invitation (high reach rate required)
tg active for 30 days	Once every 14~30 days	Marketing activity warm-up, batch invitation
tg gender+age	Once every 15~30 days	Precision marketing (such as targeting 30-year-old male users)
Comprehensive testing (activation + activity + gender)	Flexible arrangements according to business rhythm	After one-time comprehensive verification, only active ones will be re-screened in the future

How to tell if your tg filtered data needs to be re-filtered? ——5 re-screened signals

There is no need to mechanically re-screen according to the calendar. You can judge whether you need to start a new round of tg filtering through the following “early warning signals”:

Signal 1: The read rate of group messages continues to decrease

If you do private message promotion on Telegram, the open rate is the most intuitive indicator. Assume that the read rate after filtering with tg filter last month was 60% and dropped to 40% this week, indicating that the number activity has most likely declined. At this time, small-scale sampling and re-screening should be done first, and the attenuation amplitude should be confirmed before batch operation.

Signal 2: The conversion rate of operational activities is significantly lower than after the first tg filtering

For example, if you use the filtered data of “active within 30 days” in a certain activity, the ROI of the first promotion is good; if the same list is reached again two weeks later, the conversion rate will be half. The decline in conversion rate is often synchronized with the decline in number activity. At this time, the activity should be re-screened.

Signal 3: The latest filtering time has exceeded twice the corresponding period.

Suppose you set a “7-day refiling” for activity, but the last filtering was 20 days ago, then the data is most likely to be seriously out of date. Even if there is no obvious signal, it is recommended to perform a rescreen according to the upper limit of the period.

Signal 4: The target group is high-frequency active users/paying users

For scenarios that require a high reach rate (such as sending important notifications and event invitations), it is recommended to increase the rescreening frequency to once every 3 to 5 days. Because the accounts of high-frequency users change more frequently.

Signal 5: Learn from other channels (such as subscription account feedback, customer service consultation) that there are a large number of unsubscriptions or complaints about the number

If you receive a large number of users replying “Don’t post” or reporting, it means that the number list you are using contains many accounts that have been abandoned or are prone to complaints. It is recommended to stop sending immediately, recheck the activity through tg filter, and eliminate abnormal numbers.

TG screen size re-screening operation guide: How to use KK-DATA to quickly complete secondary TG filtration

Once it is determined that re-screening is needed, KK-DATA’s process is very simple and can be completed in three steps.

Step 1: Export historical numbers and check whether deduplication is required

In the App Console(https://app.kkdata.cc/), find the list of numbers you filtered previously (in CSV/TXT format). If you are worried about wasting your balance through repeated testing, please use the platform’s Data Deduplication Warehouse function - the system will automatically compare the numbers in the current task and historical tasks to avoid repeated charges for the same number (for example, the activation status has not changed and can be skipped; but the activity still needs to be re-tested).

Step 2: Submit a new tg filtering task and select the corresponding detection type (active/gender, etc.)

When creating a new task in the console, upload your list of numbers. Key operation: Based on your rescreening goals, only check the detection types that need to be updated. For example, if you only want to update the activity level, just select “tg active for 7 days” or “tg active for 30 days”, and there is no need to check the activation detection (because the activation status has not changed much and has been covered by the deduplication warehouse). This can effectively control costs.

Step 3: Set task completion notification and wait for the results to be exported

After submitting the task, you can bind the Telegram bot in settings to get completion notifications. After the task is completed, download the latest filtering results (CSV or TXT) on the task details page. If the number is large, it is recommended to wait for the notification in the background instead of staring at the page all the time.

The entire process can be completed in just a few minutes. Please refer to the real-time price of the console for the specific cost of each number. Under the per-item deduction mode, it is much cheaper to only detect activity than to detect all items.

How to set your TG number filter update rhythm?

Different business scenarios have different rhythms. Here are some practical suggestions:

• Light operation (send 1~2 private messages per week): It is recommended to re-screen every 14~30 days and tg is active for 30 days. If the target user group is low-frequency users, it can be relaxed to 30 days.
• Heavy operations (send hundreds to thousands of private messages every day): It is recommended to rescreen every 7 to 14 days if tg is active for 7 days, and refresh the gender/age every 30 days to ensure accurate tags.
• Pre-heating before promotion or event: Complete the latest tg filtering 3 to 5 days before the event to ensure maximum reach. If a second contact is required after the event, it is recommended to rescreen immediately.
• One-time precision marketing (such as targeting 30-year-old male users): Do a comprehensive activation + activity + gender detection in the planning stage, and then select the best-performing number to reach. There is no need to rescreen within 2 to 3 months unless the same scenario is used again.

3 common misunderstandings about tg filtering and data preservation

Myth 1: One filtering lasts for a year

Error. Even if the activation status is relatively stable, activity and gender tags will change significantly within 1 to 3 months. Filtering results from a year ago are largely unreliable.

Myth 2: Rescreening is a waste of money

In fact, KK-DATA has a pay-per-item, no-subscription plan. When only detecting activity, the cost is much lower than a full test. Coupled with the deduplication warehouse to avoid repeated deductions, each small amount re-screening is very cost-effective. See the console for specific prices.

Myth 3: If the source of the number is reliable, there is no need to re-screen

Reliable sources (such as collected from official groups, provided by partners) do not guarantee that the number will continue to be valid. User behavior is dynamic and any number list needs to be refreshed regularly.

FAQ

**Q: After tg filtering, how often is the most appropriate time to re-screen? **

A: There is no absolute standard, it depends on the pace of your business. For teams that continue to promote via private messages, it is recommended that activity detection be performed every 7 to 14 days; for one-time event warm-up, the last filtering should be completed within 3 days before the event. For details, please refer to the rescreening periodic table recommended above.

**Q: Will frequent re-screening and tg filtration be very costly? **

Answer: KK-DATA charges on a per-item basis and does not have a subscription package. If you only choose activity level testing (not activation/gender) during re-screening, the cost will be significantly lower than the full testing. In addition, the data deduplication warehouse can automatically skip the stable activation status to further save balances. Please refer to the real-time price of the console for the actual cost.

**Q: Will the gender test results (such as 30-year-old data) change significantly after re-screening? **

Answer: The gender and age fields depend on the avatar, introduction and other information in the user profile. Results may change if users update their profile during rescreening. Generally speaking, the accuracy of gender data that has not been re-screened for more than 30 days will drop significantly, especially when Telegram prompts users to update their information. It is recommended to refresh every 30 days.

**Q: When doing Telegram filtering, the number of numbers is large. Can it be re-screened in batches? **

Answer: Yes. You can split the number into multiple CSV batch submission tasks in the console. The system will automatically merge and remove duplicates to avoid repeated charges for the same number. Batch operations also make it easy to control budgets and monitor task progress.

**Q: Which numbers can the data deduplication warehouse help me automatically re-screen? **

Answer: The deduplication warehouse will compare whether the number in the task has been detected in historical tasks. For static fields (such as activation status), if they have been detected recently and the results have not expired, the system will reuse the old data and no longer charge. However, for dynamic fields such as activity level and gender, even if the number has been detected before, it will be re-detected and fees will be deducted. This not only preserves historically correct results, but also ensures dynamic data updates.

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Start your tg filtering re-screening now

Data preservation is not a one-time task, but an ongoing data management habit. Now you can experience the number generation function (240+ country number segments around the world) for free in the Application Console, or directly submit a small number of tg filtering tasks to experience the ease of the re-screening process. If you have any questions about the re-screening rhythm, test type or billing, you are welcome to contact customer service through two-way https://t.me/kkdata_robot for real-time consultation, and the customer service team will help you plan the best solution.

• 👉Log in to the console to start filtering
• View documentation: https://docs.kkdata.cc/
• Learn more about products: https://kkdata.cc/

Your customer acquisition data deserves professional freshness management.