How to choose TG active data? Precise screening guide for 7-day, 15-day, and 30-day active windows

In the private message promotion, community operation and TG fan-adding scenarios for overseas customer acquisition, the accuracy of TG active data often determines the reach efficiency and conversion cost. What you need is not just “a number is active”, but also whether it has been active in a time frame that is meaningful to you. The KK-DATA platform provides three active window options of 7 days, 15 days and 30 days, but can you judge which window is more suitable for your target group? This article will help you thoroughly understand the differences, applicable scenarios and practical methods of different active windows.

What is the “active window” of TG active data?

Activity window specifies a time period (such as the last 7 days), and the system uses technical means to detect whether the target number has any signs of activity within this window. If the number has been active within this window, it will be marked as “active”; otherwise, it will be marked as “inactive” or “no active record detected”.

It should be noted that the active window is not the “last login time” or “the last time online”. It is more like a “recent active range detection”. The platform determines whether this number has had effective interactions within the time range you set based on the data fed back by the TG interface. Therefore, choosing “windows” at different times directly determines the “freshness” and “coverage” of the traffic you screen.

• **The shorter the window, the newer the data but the smaller the amount. **
• **The longer the window, the wider the coverage but the activity may vary. **

Understanding this, you can understand why not all active data is “equally useful.”

What is the difference between 7-day, 15-day, and 30-day active windows?

In order to help you make a quick decision, I have organized the core differences of the three windows into the following comparison table:

Dimensions	7-day active window	15-day active window	30-day active window
Data freshness	Highest, active within the past week	High, active within the past half month	Medium, active within the past month
Data volume (thousand-level test)	Minimum, accounting for about 15%-25% of the total numbers	Medium, accounting for approximately 30%-45% of the total numbers	Maximum, accounting for approximately 50%-65% of the total numbers
Activity authenticity	Extremely high, the user’s recent usage habits are stable	High, the user’s active frequency is still reliable	Average, some numbers may become less active
Matching scenarios	Instant reach, limited-time activities, high conversion requirements	Batch private messages, community recruitment, regular operations	Cold start, large-scale testing, cost priority
Single screen size cost (based on the real-time price of the console)	Highest (due to high task complexity)	Medium (cost-effective compromise)	Lowest (cost is controllable for large quantities)

7-day active window — high activity, high conversion, expensive

If you are pursuing conversion rate rather than volume, the 7-day window is your best choice.

• Application Scenarios: limited-time discount push, instant customer service follow-up, and private messages from high-value users.
• Data Features: The holders of these numbers have opened TG in the past 7 days, which means they are likely to have seen messages or notifications. The private message open rate, click rate, and reply rate are all significantly higher than other windows.
• Note: The number of numbers available for a single mission will be greatly reduced. If your target number pool has 100,000 numbers, the 7-day window may only filter out 15,000-25,000 active numbers, but the quality is extremely high. It is recommended to be used in customer acquisition scenarios with sufficient budget and clear conversion goals (such as the conversion of the first order of an independent e-commerce website).

15-day active window — balanced, good conversion, and cost-effective

This is the most recommended window as the default setting, guaranteing data quality while taking into account cost and coverage.

• Application Scenarios: Batch private message promotion, community invitations, and daily customer acquisition operations.
• Data Features: The coverage has approximately doubled compared to 7 days, and the activity is still very high. These numbers have the habit of using TG within half a month, and a large part of them are moderate users. The cold start effect of private message reaching is good.
• How ​​to: If you’re not sure which to choose, start with the 15-day window. After the task is completed, if the conversion rate is in line with expectations, continue to use it; if it is too high but the cost exceeds the budget, you can try it for 7 days; if it is too low but the base is not enough, you can try it for 30 days.

30-day active window — wide coverage, low entry threshold

The first choice for cold start testing and large-scale laying volume.

• Application Scenario: When testing new markets and new vocabulary, quickly cover a large number of people and reduce the cost of single customer acquisition.
• Data Features: Covers almost all numbers that have had TG activity “recently”, and there will be no omissions. But the disadvantage is that some users may be active very rarely (for example, they only read messages once every two weeks), and the messages may not be seen in time.
• Collocation Suggestions: If you plan to “explode”, after screening out the base number using a 30-day window, you can further filter with gender filtering and age filtering (such as “30 years old + male”) to increase the potential conversion rate.

How to choose the TG active window under different customer acquisition scenarios?

Private message conversion orientation - 7 days active is preferred

If the purpose of sending a private message to a user is to get them to click on a link or respond to your message (such as receiving coupons, registering, or consulting about products), then the “timeliness” of every second is related to income. Suggested steps:

1. Run the 30-day active once with all the numbers to get a large pool of “possibly active”.
2. Then screen out the numbers that have been active for 7 days from the large pool, specifically for the “high private message conversion” sub-task.
3. The remaining numbers will be put into the 15-day active task or give up directly.

Recruiting new members/adding fans to the community - most active within 15 days

Your goal is to invite users to join a Telegram group or channel. For users, the decision-making cost of joining a group is lower than clicking a link (after clicking the link, you still need to fill in information or download), but the probability of completing an order is much higher. Users who have been active for 15 days have a certain level of activity and will not ignore your invitation notification because they have not been online for too long. This window can help you take into account both the joining rate and the passing rate.

Large-scale testing/explosion — 30 days of activity with gender screening

In the initial testing phase of advertising information, what you need is not a narrow audience of highly precise users, but “enough people to see and give feedback”, and then use data to iterate. A 30-day active window is most appropriate at this time. However, it is recommended to filter the Gender or Age field at the same time. For example, filtering for “30 days active + male” can help you filter out a lot of invalid traffic. This combination is the lowest cost and can cover more samples in a single test.

How to use the KK-DATA platform to filter TG active data?

The KK-DATA console makes “tg active data” filtering a configurable, predictable, and exportable function. There is no need to develop an API yourself, just follow the steps below to complete a screening task within 10 minutes.

Step 1: Log in to the console and create a screening task

1. Open https://app.kkdata.cc/ and log in to your account.
2. Click the “Create Screening Task” button.
3. Upload or paste the list of TG numbers to be tested (up to about 1 million at a time).

Step 2: Configure screen number parameters

1. Select detection platform: Select Telegram.
2. Set detection type: Check “tg active” and “tg activated” (it is recommended to check both, so that one task can solve two dimensions).
3. Set active window: In the “Active window” drop-down menu, select one of 7 days / 15 days / 30 days. This step is the focus of this article. Just choose according to the scenario you judged before.
4. Overlay other fields (optional):
   • Check “tg gender” to filter out male/female.
   • After checking “tg age field”, the system will return the user’s age inference interval (can be used to filter people around 30 years old, etc.).
   • Check “tgid export” to add the corresponding Telegram ID to the export file.

Step 3: Submit the task and view the estimated cost

After the setup is complete, the estimated cost of the current task will be displayed at the bottom of the page. KK-DATA charges on a per-item basis, with no subscription package, so you know the estimate in advance. After confirming that it is correct, click Submit.

Step 4: Export results

After the task is completed (usually ranging from a few minutes to tens of minutes, depending on the number of numbers), you can download the data file in CSV or TXT format on the task details page. The file will contain the “active status” (yes/no) of each number and other fields you check.

Common misunderstandings when filtering TG active data

1. All numbers are active for 7 days, resulting in budget overruns

Some operations blindly pursue high accuracy in the early stages of operations and use a 7-day window for all data. In this way, the cost of a single task will increase by 2-3 times, and most low-value numbers do not require such high screening accuracy at all. Correct approach: First do a 30-day window for the overall data, and then use a 7-day window for the high-value subset.

2. Ignore the gender overlay effect

If you only filter active windows without overlaying gender, you may get a large number of female users (assuming your product is for men). Recommendation: Superimpose gender filtering at least once to eliminate obviously irrelevant users.

3. I think the 30-day active window is the most accurate

This misunderstanding is common among newcomers. Although the 30-day window “includes” 7-day and 15-day active users, it also includes more “low-frequency active” users. The 30-day window is the broadest, not the most accurate window. If your promotion rhythm is high, you must use it with a narrow window.

4. It will not remove duplicates, resulting in a waste of balance due to repeated detection.

Number lists from different batches may have a large number of overlapping numbers. The Data Deduplication Warehouse function of the KK-DATA platform can automatically remove duplicates across tasks. If you do not enable deduplication, the same number may be repeatedly detected and charged during the 7-day, 15-day, and 30-day tasks. **Please be sure to enable the deduplication warehouse before submitting the task. **

How to improve the private message conversion rate of TG active data?

Screening out high-quality TG activity data is only the first step, and subsequent private message strategies are equally important. Combined with window selection and other dimensions, here are some practical suggestions for you.

• Rhythm Control: Even if high-quality users active for 7 days are screened out, the sending frequency must be controlled. Sending more than 2 private messages to the same user in one day can easily lead to reports. It is recommended to send in batches (morning, evening, next day).
• Content matching: The content of private messages should preferably match the dimensions you use when filtering. If you screen out users who are “30 days old + male + around 30 years old”, your words should fit this profile rather than casting a wide net.
• TG ID combined with private messages: After exporting tgid, you can use Telegram API or other tools to send messages to specified users. Combining tgid with the active window allows you to accurately reach users who have been “recently active and have saved your account”, resulting in a higher conversion rate.
• Test first: It is recommended to do A/B testing with a small batch of numbers (500-1000). Use a 7-day window to screen out high-active users, and a 15-day window to screen out medium-active users. Test the two sets of rhetoric to see which combination has the highest response rate, and then replicate it on a large scale.

FAQ

Question: Is TG activity data accurate? Will I find numbers that I haven’t used for a long time?

Answer: KK-DATA’s TG activity data is based on field feedback from the platform interface. The activity window is the number that has had effective interactions within the specified time period. The 7-day window has the highest data quality, but there is still no guarantee that 100% of the detected users will see your message. It is recommended to cooperate with tgid export for secondary verification, or to test the conversion in small batches before deciding whether to use it in full.

Question: For the same number, will the 7-day and 30-day active test results be completely different?

Answer: Not necessarily. If the number has been active in the past 7 days, both windows may show active. However, the 30-day window will cover those numbers that have not been online for 7 days but were active 15 days ago. The volume is larger and the timeliness is slightly lower. If the number has any activity in the past 30 days, the 30-day window is marked as “active” and the 7-day window is not marked. This is the fundamental reason why the two windows produce different results.

Question: If I choose a 30-day active window, will my private messages be reported?

Answer: The active window itself does not affect the reporting rate. The content and sending frequency of private messages are the core. It is recommended to first use a 7-day window to screen out highly active users for key private messages, and then use a 15-30 day window for batch replenishment, in line with a reasonable sending rhythm. High-frequency mass messaging, worthless advertisements or harassing words are the main reasons for reporting.

Question: Does the 7-day window for TG active detection refer to the last 7 days or 7 days ago? Can other days be customized?

Answer: Currently, the KK-DATA console provides three fixed window options of 7 days, 15 days, and 30 days, and does not support custom days. The 7-day window refers to “there have been signs of activity in the past 7 days”, and it is recommended to choose based on the characteristics of the target group. If you need more granularity, it is recommended to use 7 days for high-precision screening and then 15 days for secondary supplementation.

Question: Can TG activity data be used together with the gender field? Like “30 days active + male”?

Answer: Yes. The screening task supports selecting the TG active window + gender field at the same time, and the system will return results that match both dimensions. For example, “15 days active + men” can accurately locate the target group. The age group can also be used as an overlay field to help you extract user groups around 30 years old from the “30-day active” pool.

After reading the window selection strategy, you can now start a precise screening on the KK-DATA platform. Start with a small batch of 7-day active tasks to test your customer acquisition conversion rate, and then gradually optimize window selection and delivery strategies based on the data results.

👉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/