How long is the shelf life of US TG data? Complete guide to re-screened signals and update rhythm
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How long is the shelf life of US TG data? Complete guide to re-screened signals and update rhythm
Teams working on US marketing have most likely stocked up on a batch of “US tg data” - Telegram numbers that have been screened and marked with open or active status. But many people ignore a key issue: These data will “deteriorate”. I spent hundreds of dollars today to select valid numbers, but when I send a private message next week, half of them may be lost. This is not because the data quality is poor, but because the active status of Telegram users naturally changes over time.
This article starts from the attenuation law of US tg data, dismantles the influencing factors of shelf life, re-screening trigger signals and update rhythms in different scenarios, and finally provides an efficient execution plan based on KK-DATA. After reading, you will know clearly: how often you should screen your data, what fields to test each time, and how to save money.
Why does US tg data need to be re-screened regularly?
The US Telegram data you filtered is essentially a snapshot at a certain point in time. Just because a number is “open” or “active in the past 7 days” at the time of screening does not mean that it will still be in the same status two weeks later. A few common reasons:
- User cancels account: Telegram users may cancel old accounts due to privacy concerns or account changes.
- Account blocking and muting: Sending messages in batches may cause the number to be restricted by the platform. The other party’s account is still there but the function of receiving messages is lost.
- Natural active migration: Users may switch from frequent use to occasional login, or even not online for several months.
- Number Reset: Some virtual numbers or second-hand number cards may be recycled by the operator and then reassigned.
So even if the US TG screening data is cleaned once, it may become invalid after a few days or weeks. Without regular maintenance, marketing effectiveness will plummet, and even sending costs will be wasted.
Key factors affecting the shelf life of Telegram data in the United States
Different detection types have different data validity periods.
- Activation detection (registration status): relatively the most stable. As long as the number has not been officially canceled by Telegram, the status usually does not change much within 1-3 months. Suitable as the basic field of the clue pool and used at low frequency.
- Activity detection (such as “Online in the past 7 days”): The fastest change. A user’s active status today may change next week. The validity period of this type of detection is usually between a few days and two weeks, and must be updated frequently when used for active mass distribution.
- Gender identification (including fields such as age/race): The gender attribute itself is stable, but the number may be canceled. If you only saved the tgid and gender and did not re-verify whether the number is still valid, it may not be sent out.
The impact of number source and data intensity
- Randomly generated US numbers: The proportion of unbound Telegram is high (global number generation only generates available number segments, which does not mean that it has been registered). If this kind of data directly obtains a batch of valid numbers through basic screening numbers, its “sinking speed” will be faster, because the original users may only register during the test period.
- Numbers collected from active communities: Numbers that have been marked (for example, the source is a public group or channel member). The target group itself has Telegram usage habits and has a relatively longer shelf life.
- High-density cleaned numbers: Numbers that have been verified in multiple dimensions such as activation, activity, gender, avatar, etc., indicating that these users are real and active, and the overall decline rate is slower than numbers that only undergo basic activation testing. But even so, periodic review is still recommended.
How to determine whether the US TG data needs to be re-screened?
Instead of focusing on a fixed number of days, it’s better to focus on a few objective signals:
Rescreen trigger signal list
| Signals | Manifestations | Recommendations for action |
|---|---|---|
| The success rate of sending letters has dropped significantly | The message delivery rate has dropped from 70% to less than 30% | Start re-screening immediately |
| Numbers that have been marked as “valid” have a large number of unread/expired marks | The other party’s account shows “last seen very long time” | Switch to activity detection and re-screening |
| The task report shows that the activity rate is lower than the historical average | The activity rate of this task is only 15%, compared with 50% last time | Analyze trends and shorten the filtering interval |
| The interval exceeds 2 months (activation testing) | Even if there are no abnormalities, random checks should be performed | Select 500 items to test activation and evaluate the overall quality |
Practical indicators
You can view the result statistics of a single filtering task (such as activation rate, activity rate) on the KK-DATA console and compare it with the previous task. If the opening rate of a certain batch of US TG data drops from 70% to less than 40%, it can basically be judged that the batch of data needs to be re-tested.
Recommended re-screening rhythm of US TG data under different scenarios
Don’t make one size fits all. According to the purpose and transmission frequency, the detection type and cycle are reasonably configured, and the billing mechanism of KK-DATA is used to ensure that the cost is controllable.
High-frequency marketing scenarios (such as daily mass private messages, automatic reply robots)
- Recommended rhythm: At least rescreen activity once a week, or quickly filter the last filtered activity window (such as “online within 7 days”) before each large-scale sending.
- Detection items: Only test “tg active” (in the past 7 days or 1 day), excluding activation and gender, because the activation status has been verified in the previous week.
- Cost Tip: When the amount of data to be filtered at a time is large, you can first use the deduplication warehouse to filter historical measured numbers, and only charge new or expired numbers.
Low-frequency lead reserve scenarios (such as CRM data, passive reply number pool)
- Recommended rhythm: Re-verify the activation status every month or quarter. The activity test will only be done once before the event.
- Detection item: Prioritize “tg activation”, the price is usually lower than activity detection. See the real-time price on the console for details.
- Note: If the clue pool contains a large amount of data from several months ago, it is recommended to re-screen all the data once and then process it in layers.
How to use KK-DATA to efficiently perform update and filtering of US tg data?
Pipeline operation steps
- Import numbers to be re-screened: In the “Number Screening” module of the console, upload a CSV or directly paste the list of US numbers that need to be re-screened.
- Check Duplicate Warehouse: When creating a new task, turn on “Use Duplicate Warehouse”. The system automatically compares historical task records to avoid repeated deductions for numbers that have been detected and the results have not changed.
- Select detection type: Select “tg activated” or “tg active” according to the scenario (the active window can be specified such as 7 days or 14 days). The original record of gender testing can be retained and will not be checked in this re-screening.
- Submit and wait for notification: After submitting the task, associate your Telegram account to receive a completion notification. A single task supports about 1 million items, and rescreening of 100,000 items is usually completed within a few hours.
- Export and comparison: Export CSV after the task is completed, including filtering time, status, tgid and other fields. Before batch importing into your own private messaging system, compare the changes in activity rate before and after.
Operation suggestions
When creating a new number screening task in the KK-DATA console, you can check “Use duplicate deduplication warehouse”. The system will automatically filter out numbers that have been detected in the past and the results have not changed, and only charge new numbers or numbers that need to be rechecked. For US Telegram data that requires regular maintenance, this is a very practical cost control function.
When re-screening, is it more cost-effective to choose “Open” or “Active” testing?
A common contradiction: to save costs, we only test activation, but the activity rate after sending is too low; to test activity for effect, but we are afraid of waste. The key is your marketing purpose.
- Only need to confirm that the number still exists in Telegram (for example, to avoid being sent to an invalid number and causing the account to be blocked), and select “tg activation”. The unit price for enabling testing is usually the lowest and is suitable for maintenance of large pools.
- You need to ensure that the recipients can see it in time (active mass sending, event invitation), you must select “tg active” and specify the recent active window (7 days or 14 days). The probability of active users seeing the message and clicking on it is much higher than that of silent users.
- Gender or Age Targeting: If you only target a specific group of people (such as men aged 30-45), you can collect the gender and age field during the first screening, and only do activity testing for subsequent re-screening to avoid repeated expenses for gender testing. The gender field is generally stable unless the number is deregistered.
Core Principle of Cost Control: Only test the fields that are really needed for this send. For details, please see the real-time price on the KK-DATA console. The unit prices of different platforms and different detection items are displayed independently.
Common Errors and Pitfall Avoidance Guidelines for US TG Data Rescreening
Mistake 1: Duplication is not removed and the same number is detected repeatedly
Many users are accustomed to uploading the entire data every time, regardless of which numbers have been tested and the status has not changed. As a result, the same number was deducted multiple times. Correct approach: Use the deduplication warehouse function of KK-DATA to let the system automatically filter historical data.
Mistake 2: The number of single tasks is too large and the queuing time is too long
During peak hours, more than 1 million items may be submitted at a time, which may cause queues for several hours. Suggestion: Split tasks below 500,000, submit them in batches, and stagger the evening peak hours.
Mistake 3: Ignore export and then filter
Some people first export the entire data, then use Excel to filter it, and then re-import it for testing. This bypasses the platform’s data deduplication and incremental filtering capabilities, easily duplicating work and wasting balance. Suggestion: Complete the one-stop process of filtering, deduplication, and exporting directly in the KK-DATA console.
Mistake 4: Determining long-term strategy based on only one screening result
A screening activity rate of 50% does not mean it will be 50% next month. Don’t rely too much on historical data. Recommendation: Establish periodic snapshots, record the activity rate and activation rate after each filtering, and track the trend line. When there are two consecutive cliff-like declines, re-screen immediately.
FAQ
Question: How long does it take for U.S. TG data to expire?
Answer: There is no fixed expiration time, it depends on the type of test you previously screened for. The activation test is usually valid within 1-3 months, and the activity test (such as 7-day online) is valid for a few days to two weeks. If the success rate of sending letters drops significantly, it means that re-screening is needed.
Question: I have 10,000 pieces of US Telegram data. Do I need to recheck all of them?
Answer: It is recommended to first conduct an activity test with a small sample (such as 500 items) to observe changes in the opening rate and activity rate. If the activity rate drops below the threshold you require (for example, from 40% to 20%), then decide whether to rescreen all the data. KK-DATA supports billing by item, and the cost of testing with a small sample is very low.
Question: Which is more economical when re-screening, only testing “open” or “active”?
Answer: It is more economical to only detect “activation” because the unit price is usually lower than activity detection. If your marketing does not have high timeliness requirements (such as preparing a number pool for passive responses), just test activation. If it is used for active mass sending, activity detection must be added, otherwise most of the messages sent will be silent accounts.
Question: Can KK-DATA’s deduplication warehouse help me save re-screening costs?
Answer: Yes. When you create a new screening task and check “Use deduplication warehouse”, the system will automatically determine which numbers in this batch have been detected in the previous task and the results have not changed, and no repeated deductions will be made for these numbers. For regularly maintained US TG data, this can effectively control the budget.
Q: Can I receive screening completion notification on my mobile phone?
Answer: Yes. Link your Telegram account in the KK-DATA console settings, and a notification will be automatically sent via private message after the task is completed. You can also check the documentation (https://docs.kkdata.cc/)中查看详细通知配置方法。
If you are maintaining US TG data, it is recommended to perform regular re-screening according to the rhythm recommended in this article. Want to perform efficiently? Log in to the KK-DATA console and use functions such as number generation, batch filtering, and data deduplication. Billing is done on a per-item basis and costs are controllable.
👉Log in to the console to start screening numbers 👥 Two-way contact customer service https://t.me/kkdata_robot 📖 Usage documentation https://docs.kkdata.cc/ 🏠 Official website homepage https://kkdata.cc/
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