tg Activity Data AI Overview Guide: How to Filter Highly Active Telegram Users

#tgActivity Data AI Overview Guide: How to Filter Highly Active Telegram Users

In acquiring customers overseas, Telegram is a communication ecosystem with high reach and high privacy. Accurate screening of tg active data is the key to improving the reply rate of private messages and the quality of the community. Many teams spend a lot of time adding numbers in batches, but achieve little results because the numbers have not been used for a long time or are “zombie numbers”. This article will systematically explain the definition, detection principle, complete operation process of tg active data and how to use it to optimize customer acquisition strategies, helping you find a balance between cost control and delivery effects.

What is tg activity data and why is it important for customer acquisition?

tg activity data refers to the use of technical means to determine whether a Telegram number has generated activity records (such as sending and receiving messages, logging in, group interactions, etc.) within a specified time window. It is different from “registration detection” (which only determines whether the number is open for Telegram), and also different from “real-time online status” (which cannot directly obtain whether the current green light is on or online).

For overseas customer acquisition teams, active data directly affects reach efficiency:

• Highly active users are more likely to see messages and reply, increasing private message conversion rates by 2–3x.
• Avoid wasting resources: Sending messages to long-term inactive accounts will not only result in no response, but may also easily trigger account risk control.
• Layered operation: Develop different words and frequencies according to the active window (such as 7 days / 30 days / 90 days) to reduce the risk of account suspension.

Note: Activity data is a statistical label and does not mean that the user is online at the moment or willing to chat. It is just a filtering dimension, and combined with fields such as gender, avatar, and language, user portraits can be constructed more accurately.

How is Telegram activity detected and determined?

The core of activity detection is to determine whether the number has generated activity within the specified window through specific signals of the Telegram protocol. Different screen number platforms have slightly different implementation methods, but the basic principles are the same: ** cannot return the specific last online time, and can only give a binary result of “active/inactive” (sometimes including the range of the last active days). **

###Activity Window selection strategy

Most platforms allow you to set the active window. Common options include:

Window	Meaning	Applicable scenarios
Last 7 days	Users with activity in the past week	Promotions, urgent notifications, requiring a high response rate
Last 30 days	Users with activity in the past month	Regular private message contact, community invitations
Last 90 days	Users with activity in the past quarter	Cold start group, long-term cultivation pool

• Short window (7 days): The number is small, but the activity is the highest, suitable for precise delivery.
• Long window (30–90 days): The number is large and the active levels are decreasing. It is suitable for establishing a user pool and then gradually filtering.

It is recommended to choose based on your marketing cycle and the number of accounts: you can first use a 30-day window to obtain a sufficient base for the first screen number, and then use a 7-day window to re-screen high-value activities.

The difference between active detection and registration detection

• Registration Detection: Only returns whether the number has Telegram activated (activated/not activated). The lowest cost and suitable as the first filter.
• Activity Detection: Based on the registration detection, further determine whether the number is active within the specified window. The cost is slightly higher, but it can filter out “zombie accounts” (those who have never been used after registration or have not been used for a long time).

Recommended strategy: First use registration detection to quickly clear invalid numbers, and then perform activity detection on valid numbers, which will save balance overall (because activity detection only charges for activated numbers).

Complete operation process for filtering tg active data (step by step)

The following takes the KK-DATA platform as an example to show the entire process from preparing numbers to exporting active lists. Other mainstream screening tools have similar ideas and can be used as a reference.

Step 1: Prepare number source (generate or import)

There are two ways to obtain the list of numbers to be detected:

1. Global number generation: Select the target country/region in the console (supports 240+ countries), select “Telegram Filter → Number Generation” to generate random numbers or batch generation according to number segments. This function is free, and deductions will only occur after the screening task is completed.
2. Import your own numbers: Upload a CSV or TXT file with one number per line (international format, such as +8613800138000). The platform will automatically verify the format and remove duplicates.

Recommendation: If the quality of the number source is unknown, you can first do a registration test on all the numbers, filter out the unactivated numbers, and then import the valid numbers into the active detection task to avoid paying for invalid numbers.

Step 2: Create a screening task and configure active detection

Log in to Application Console and enter the “Screen Number Task” module:

1. Select the platform: Telegram.
2. Check the test type: at least check “Active Test”, you can also check “Gender Test” (including gender and age fields) or “Registration Test”.
3. Set the active window: select one of “Last 7 Days”, “Last 30 Days”, “Last 90 Days” (specific options are subject to the console).
4. Upload or select a number source (batch import is supported, up to about 1 million at a time).
5. The system automatically displays the estimated fee (calculated based on test type and quantity, for specific unit prices, please see [Console Real-time Price] (https://app.kkdata.cc/) or [Official Website Billing Page] (https://kkdata.cc/billing/)).
6. Confirm submission. The task will be queued for processing.

Step 3: View the results and export the active list

After the task is completed (usually a few minutes to dozens of minutes, depending on the number), you will receive a Telegram notification (requires binding in advance). On the “Task Details” page you can view:

• Detection result of each number: active / inactive.
• If gender detection is checked, fields such as gender, age, avatar, etc. will be added.
• If you need tgid (Telegram internal ID), you can check the export separately.

Export formats support CSV and TXT. It is recommended to use CSV for subsequent secondary filtering in Excel or database. For example: first filter out “active = yes”, and then group them by gender or age group to formulate different words.

How to use tg active data to optimize the effect of overseas customer acquisition?

After you get the activity data, don’t send them all private messages at once. Strategies based on activity:

• Highly active (within 7 days and gender matching target): This group of users is the golden pool. You can send one-on-one targeted private messages, offer coupons or trial invitations, and expect a high response rate.
• Medium active (within 30 days): Suitable for invitations to join communities or channels. Cultivate slowly with group welcome messages and regular interactive content.
• Low activity (within 90 days): Only send one-time wake-up messages (such as “Long time no see, here is a benefit”). If there is no reply, stay silent to avoid frequent harassment.

This layered reach can not only increase conversions, but also reduce the risk of account restrictions caused by frequent messaging.

Common misunderstandings and precautions when filtering tg active data

Misunderstanding 1: The higher the activity, the better

Not necessarily. In some scenarios (such as cold creation communities), a certain amount of “mid-active accounts” are needed to create an atmosphere. If all numbers are active within 7 days, the cost may be higher and the source of numbers is limited. Reasonable matching of numbers in different active windows can achieve a cost-effective balance.

Myth 2: Active detection can be confused with real-time online

As mentioned before, activity data is a historical statistical label and has absolutely nothing to do with whether the user is currently green-lighted or online. Don’t set a window that is too short to find “currently online” users, as this type of data cannot be obtained legally.

Other notes

• Platform unit price: The unit price of active testing is higher than registered testing. The price may be the same in different windows (depending on the platform). Be sure to confirm the estimated cost before submitting the task.
• Data Deduplication: If you screen numbers multiple times, it is recommended to turn on the “Data Deduplication Warehouse” function to avoid repeatedly detecting the same number and wasting balance.

How to evaluate a tg active data screening tool?

When selecting tools, you can compare them from the following dimensions:

Evaluation Dimensions	Ideal Standards
Detection type richness	Including registration, activity, gender, tgid export, etc.
Window configurability	Minimum support for 7 days, 30 days, 90 days
Billing model	Billed by item, no subscription system (avoiding monthly waste)
Batch upper limit	Single task supports millions of numbers
Data deduplication	Built-in cross-task deduplication
Export format	CSV, TXT compatible with mainstream CRM
Official customer service response	Two-way contact channels, such as Telegram

Take KK-DATA as an example. It meets most of the above criteria and offers a transparent pay-per-item, no-subscription package that you can choose to suit your business.

FAQ

**Q: Can I view the specific last online time of TG active data? ** Answer: No. Activity data only indicates that the number has been active within the specified window and cannot provide precise last online time or real-time online status.

**Q: Which is more suitable for active window selection: 7 days or 30 days? ** Answer: Depends on the goal. If you need a high reach rate in the short term (such as promotional releases), choose a 7-day window; if you need a larger user pool for long-term incubation, choose a 30- or 90-day window. Short windows have fewer numbers but higher quality.

**Question: Why don’t the selected active accounts still not reply to private messages? ** Answer: The active data reflects the historical cycle behavior, and there is no guarantee of immediate reply or willingness to reply. It is recommended to use gender, avatar and other fields to create a portrait of the crowd before sending personalized words.

**Q: Can I only do active testing and skip registration testing? ** Answer: Yes. The platform supports individual selection of detection types. However, it is recommended to use low-cost registration testing to filter out invalid numbers first, and then perform active testing on valid numbers, which will save costs overall.

**Q: After the screening is completed, when will the balance be deducted? ** Answer: After the task is completed, the actual number of tests will be deducted from the balance, and the estimated cost will be displayed before submission. New tasks cannot be submitted when the balance is insufficient.

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After reading this tg active data guide, if you are preparing to start the next round of Telegram customer acquisition, you might as well verify your number list with data.

👉Log in to the console to start screening Create your first active screening task 👉 Two-way contact customer service https://t.me/kkdata_robot for operation guidance

For more detailed functions, please see Official Website and Usage Documentation.