Beginner’s guide to tg active data: Understanding the meaning of active days and practical guide for filtering

If you are new to Telegram marketing, you may have heard the term “tg activity data”, but do you really understand the meaning behind it? When you are preparing to reach target users in batches, should you only check whether the number is registered with Telegram, or should you further filter out the active numbers that have been used recently? This article will start from scratch and dismantle the core concepts of tg active data for you - the calculation logic of active days, the difference with “activated” accounts, common misunderstandings, and demonstrate step by step how to use KK-DATA to complete a complete active screening task. Whether you are doing cross-border e-commerce, independent website promotion, or community operations, this article can help you avoid detours and improve customer acquisition efficiency.

---

What is tg active data?

tg activity data refers to the use of technical means to detect whether a Telegram number has engaged in online behavior (such as sending messages, viewing groups, logging in, etc.) within a specified time window. Different from a simple “number is registered in Telegram”, activity data further reveals the user’s recent usage frequency and activity level, which is crucial for marketing decisions.

How are active days calculated and divided?

Active days are usually defined as the number of days since the most recent operation. Common active windows include:

• Active for 3 days: The user has acted in the last 3 days and is high-frequency online, suitable for immediate promotions and flash sales activities.
• Active for 7 days: The user has acted in the past week, the conversion rate is high, and it is suitable for regular promotion.
• 14 days active: Users are active within two weeks, covering some low-frequency groups who still view messages.
• 30 Days Active: Users have behaviors within a month, suitable for brand cultivation and long-term community invitations.
• 90 days active: Users who have been inactive for a long time but are still online can be regarded as “sleeping users” and are suitable for batch exposure or as a supplementary reach layer.

Platforms (such as KK-DATA) allow you to customize the number of days range (for example, 1-30 days) when filtering, and the system will detect whether the number has an active record within this range. Different windows correspond to different marketing strategies. Newbies are advised to test with a small sample first to find the window that is most suitable for their industry.

What is the essential difference between tg active and tg activated?

Comparison dimensions	tg activated	tg active
Detection content	Whether the number is registered with Telegram	Whether the number has recently used Telegram
Result fields	Yes/No	Active/Inactive/Unknown + Last active time
Marketing value	Low: may reach a large number of zombie accounts	High: reach real online users, higher conversion rate
Risk of account suspension	High: Mass sending to inactive accounts can easily trigger risk control	Low: Reduce complaints and invalid sending

For example: you filter out 100,000 numbers through “tg activation”, but half of them may be zombie accounts that have not logged in since registering 2 years ago. When you send messages in batches, no one opens a large number of messages. Instead, they are judged as spam by the Telegram system, resulting in the account being restricted. After filtering with tg active data, you can only send messages to users who have acted within 30 days. The conversion rate may increase by 3-5 times, and account security is more guaranteed.

---

Why must novices pay attention to tg active data?

Many novices only pay attention to “whether the number is activated” at first, thinking that as long as it is a registered number, it can be used. In fact, ignoring active data can lead to the following problems:

• Cost Waste: Each test requires a fee (deducted per test). If you only screen the activated numbers, the test fees for a large number of invalid numbers will be wasted.
• Low conversion rate: The open rate of inactive accounts may be less than 1%. No matter how good your content is, it will be difficult to achieve results.
• Account Security: Sending messages to zombie accounts frequently may trigger Telegram’s spam rules and cause your marketing account to be banned.
• Unable to operate in layers: Without active data, you don’t know which users are suitable for high-frequency reach and which ones need to be cultivated slowly. You can only do it “one pot”, and the effect is greatly reduced.

Therefore, tg active data is an essential tool for reducing costs and increasing efficiency. It can not only help you save bulk sending resources, but also extend the life cycle of your marketing account.

---

Common misunderstandings in tg active data screening

It is easy for novices to go to extremes in their understanding of tg active data. The following two points are the most common, so please be careful.

The longer the number of active days ≠ the worse the quality

Many novices think that “the shorter the number of active days, the better” and only screen users who have been active for 3 or 7 days. However, although this group of users is highly active, the competition is also fierce - other marketing teams are also competing for them, and these users may have been “immune” to promotional information. In fact, users who are active for 30-90 days tend to be high-value “blue ocean” people who are passive but still online. They don’t often actively send messages, but they do check notifications and group messages. It is recommended that you operate in layers:

• Active within 7 days: high-frequency contact, instant promotions and event countdowns.
• Active for 30 days: Progressive cultivation, such as sending community invitations and content push.
• Active for 90 days: Brand exposure, join groups in batches or send product introductions.

Use different windows together to maximize ROI.

Correct interpretation of “active status” in the export field

In the export results of KK-DATA, the tg_active field usually contains three values:

• Y (Active): The number is active within the specified window.
• N (Not Active): The number is registered but has no behavior within the window.
• U (Unknown): Unable to determine (may be due to privacy settings or missing data).

Some novices think it is an invalid number when they see “U” and discard it directly. In fact, “Unknown” is not necessarily useless data - it may come from some privacy-protecting users, and you can still try to send test messages (but it is recommended to send less frequently). The correct approach is to use the “Y” number for core promotion, the “U” number for small batch testing, and the “N” number for the time being.

---

Step-by-step tutorial: How to use KK-DATA to filter tg active data?

The following takes the KK-DATA platform as an example to demonstrate the complete screening process. You can log in to the Application Console to follow the instructions.

Step one: Prepare numbers to be screened (generate/upload/import into deduplication warehouse)

You can prepare numbers in three ways:

• Global Number Generation: In the “Number Generation” module, select the target country (such as Indonesia, Vietnam), click Generate, and you can get a large number of random number segments for free. Note that the generation is unlimited and free, and fees will only be deducted when filtering.
• CSV Upload: If you already have a list of numbers (e.g. exported from Excel), upload it directly to the platform.
• Import into the deduplication warehouse: In order to avoid wasting balances through repeated detection, it is recommended to import all numbers into the “data deduplication warehouse” first. The system will automatically check historical tasks and eliminate numbers that have been detected.

Step 2: Create a tg active detection task and set the active window

1. Select “Detection Task” → “Create Task” from the left menu of the console.
2. Select Telegram for the platform and Active Detection for the detection type.
3. In the parameter settings, enter the active days range, for example, 1-30 means to detect active users in the past 30 days.
4. If you want to obtain gender and age information at the same time, you can check “Telegram gender detection” (note: gender detection is billed separately, and age is an estimate, not at the ID card level).
5. The system will display the estimated cost and number of numbers. Submit the task after confirming that they are correct. A single task supports up to about 1 million items.

Step 3: Download the results and interpret the fields

Once the task is completed, go to “Task Details” to download the CSV or TXT file. The key fields are explained below:

Field name	Meaning	Example
phone	number	628123456789
tg_active	Active status (Y/N/U)	Y
tg_active_days	Number of days since last active (if returned)	12
tgid	Telegram ID	1234567890
gender	Gender (if gender detection is also enabled)	male
age	Age (estimated)	28

You can use this data for secondary filtering: for example, if you want users who are “male around 30 years old, active within 7 days”, filter gender=male and age 25-35 and tg_active_days <=7 in Excel.

---

Practical strategy after filtering tg active data

Once you get the active data, don’t send the same content all at once. Here’s a layered marketing tip:

Active window	Recommended strategy	Reach frequency	Target
1-7 days	Instant promotions, limited-time discounts, event notifications	High (1-2 times per day)	Fast conversion
8-30 days	Community invitations, tutorial push, product introductions	Medium (2-3 times a week)	Cultivate interest
31-90 days	Brand exposure, collection sharing, batch joining of groups	Low (1 time per week)	Arouse memory
>90 days or unknown	Do not send yet, or only test with very low frequency	Very low	Avoid interference

In addition, if you have data from platforms such as WhatsApp and Line, you can do cross-validation: if a number is not active on Telegram but is active on WhatsApp, you can consider switching to the WhatsApp channel for reach. KK-DATA supports unified management of multiple platforms, and the same number pool can filter different platforms multiple times.

---

FAQ

Question: What does the “number of active days” in tg active data refer to specifically?

Answer: The number of active days refers to the number of days since the last time the account performed operations on Telegram (such as sending messages, logging in, and opening apps), calculated from the statistical time. For example, “7 days active” means that the user has had Telegram online behavior in the past 7 days.

Question: What is the difference between tg active and tg activated? What are the implications for marketing?

Answer: “tg activated” only confirms that the number is registered with Telegram; “tg active” determines whether the user has recently used it. Only opening inactive accounts can easily be judged by the system as “zombie accounts” and lead to mass bans, while the conversion rate of active accounts is usually higher. It is recommended to prioritize screening tg active data when marketing.

Question: How much balance is required to filter tg active data? What’s the unit price?

Answer: Each tg active detection is charged on a per-item basis. The specific unit price varies depending on the platform (Telegram vs WhatsApp, etc.) and detection type. For details, see the real-time price on the console. The estimated cost will be displayed before submitting the task. If the balance is insufficient, the submission cannot be made.

Question: What fields can be exported from tg active data? How do I confirm a user’s gender?

Answer: The export results usually include phone number, tg_active (Y/N/U), tg_active_days (if available), tgid, etc. If you need gender information, it is recommended to open the “Telegram Gender Detection” task at the same time, which includes fields such as age, gender, avatar, etc. (note that age is a rough estimate, not ID card level).

Question: How to improve the accuracy of tg active screening? Any advice for newbies?

Answer: ① First use a small sample to test the hit rate of different active windows (such as 7 days vs 30 days); ② Combine the active time patterns of the target country (such as users in the Middle East are active at night); ③ Give priority to using the number segment generation tool to generate native number segments of the target country instead of random continental numbers; ④ Turn on data deduplication to avoid wasting balances through repeated detection.

---

Now that you have mastered the core concepts and usage of tg active data, it is time to get started. Log in to the console immediately to create your first active filtering task, or contact customer service for exclusive guidance.

👉 Log in to the console to start screening numbers ｜ Two-way contact customer service https://t.me/kkdata_robot Learn more: Official website https://kkdata.cc/ | Documentation https://docs.kkdata.cc/