tg active data FAQ hub: Telegram number activity screening guide

In the daily work of acquiring customers overseas, tg activity data is a key indicator that determines the reach rate of private messages and community activity. Many teams spend a lot of budget to purchase number lists, only to find that a large number of numbers are just “registered” rather than “actually used”, resulting in a low follower approval rate and a sharp decline in ROI. This article focuses on the concept, screening methods, field interpretation, fee rules and common pitfalls of tg active data to build a FAQ hub that can be consulted at any time to help B2B overseas teams acquire high-value Telegram users at the lowest cost.

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What is tg active data? Why is it important to acquire customers?

tg active data refers to those numbers that have actually logged in or used Telegram within the specified time window (such as the last 7 days, 14 days, 30 days). It detects users’ online behavior through technical means, rather than just verifying whether the number is registered.

Why is activity so important? To put it simply: **A number that is “activated” but has not been logged in for six months is no different from an empty number. ** The other party will not be able to see your private message at all, and will never speak if you join the group. Only active users have the value of being reached.

What is the difference between tg active data and “activated data”?

Dimension	Activation Detection	Activity Detection
Meaning	Verify whether the number has been registered in Telegram	Verify whether the number has been logged in within the specified number of days
Judgment criteria	The presence of a number means activation	Recent online behavior is required
Marketing value	Low (a large number of zombie accounts and abandoned accounts)	High (users are still using Telegram)
Typical scenarios	Preliminary cleaning of invalid numbers	Accurate private messages and community recruitment

For example: of the 5,000 numbers you bought in 10 minutes, the activation rate may be only 30%, and less than 10% of them may be truly active. If you send it directly to a group, you will not only waste time, but also risk being reported and banned.

Common application scenarios of tg active data

• Event Invitation: Send event links to users who have been active within 7 days, and the response rate is much higher than ordinary numbers.
• Community Recruitment: Screen out numbers that are active within 30 days, and invite targeted invitations to join the product community to reduce the proportion of dead fans in the group.
• One-to-one private message promotion: Send promotional information only to “active + specific gender/age” users to increase conversions.
• Duplication filtering after digging fans in competing product communities: Import numbers exported from competing product communities, first filter them with activity detection, and then compare them with your own deduplication warehouse to avoid repeated exposure.

How to filter tg active data? Batch operation process

Taking the KK-DATA console as an example, the complete steps for filtering tg active data are as follows, without any coding foundation:

1. Prepare number source: You can upload the CSV/TXT file yourself, or use the platform’s “Global Number Generation” function to generate the number of the target country.
2. New Telegram detection task: Select “Telegram filter number” in the console, and then select the detection type (activity detection, activity + gender detection, etc.).
3. Select activity window: Specify the time range to be detected (for example, “Active within 7 days”).
4. Submit the task and confirm the estimated fee: The system will display the estimated deduction amount, and you can submit it if the balance is sufficient.
5. Waiting for the task to be completed: Depending on the size of the number, it usually takes a few minutes to dozens of minutes to complete.
6. Export results: Supports CSV/TXT format, including number, tgid, active status, gender, age and other fields.

What are the optional activity windows?

Depending on the options provided by the platform, common active windows include:

• Any active: As long as the number has logged in recently (usually within 30-90 days).
• Active within 7 days: Best suited for pop-up events and limited-time promotions.
• Active within 14 days: For campaigns with medium urgency.
• Active within 30 days: Suitable for regular brand contact and long-term community cultivation.

Suggestion: Don’t blindly pursue the shortest window. The base of 7-day active users is smaller and the price may be slightly higher (see real-time price on the console for details); the 30-day active user pool is larger and the price is better, which is suitable for extensive reach when the budget is limited.

How many numbers can be screened in a single task?

The upper limit of a single task of KK-DATA is about 1 million. If your number exceeds 1 million, you can split it into multiple task submissions. Pay attention to filtering duplicates in the data deduplication warehouse before submission, which can greatly reduce waste.

What fields does tg active data contain? How to interpret gender and age?

A typical Telegram activity detection result file will contain the following fields (subject to the actual console export):

Field name	Meaning	Example
phone	Number	8613800138000
tgid	Telegram ID	1234567890
status	Detection status	active / inactive / not_registered
active_days	Active in recent days	7, 14, 30 (according to task setting)
gender	Inferred gender	male / female / unknown
age	Inferred age	25–35, 30–40 (range)
avatar	Do you have an avatar	yes / no
nickname	Nickname	–

How accurate is the gender field? Can it be used for precise orientation?

Gender recognition is not accurate at the ID card level, but is inferred based on the user’s public information (such as nickname wording, avatar content, group information, and historical behavior). It is very valuable for directional filtering - for example, when launching male health care products, you can lock the number with the gender “male” and reduce the waste rate of female users from 50% to an acceptable 20% or less.

But remember: Don’t take it as absolute truth. It is recommended to verify the effect of gender targeting in combination with A/B testing; if you find that the conversion rate is abnormal, you can try to exclude unknown or increase the confidence threshold (some platforms provide confidence scores).

The same goes for the age field: it is an estimate based on a variety of clues, such as “post-90s” mentioned in the user profile, “post-80s” included in the group name, etc. It has reference significance for screening out people “about 30 years old”, but there is no guarantee that each number is accurate to the specific age.

tg active data filtering fees and billing rules

KK-DATA adopts a no subscription package and pay-per-item model. You only need to recharge USDT (TRC20) to the balance, and the fee will be deducted from the balance after each task is completed. Different detection types (activated only vs active vs active + gender) have different unit prices. Please check the details in real time on the console.

Key rules:

• Before submitting the task the estimated cost will be displayed. If the balance is insufficient, it cannot be submitted.
• Fee will be officially deducted only after the task is completed. No fee will be deducted for failed or empty tasks (need to confirm the specific platform policy).
• The minimum deposit is about 50 USDT, which will be automatically activated after payment.
• It is recommended to do a small batch test (for example, 1,000 items) first, and then scale up after becoming familiar with the process and cost.

After filtering tg active data, where do the numbers go? How to export and remove duplicates?

After filtering is complete, you can export the results from the “History Tasks” in the console. The format supports CSV and TXT, it is recommended to prefer CSV for further manipulation in Excel or data processing scripts.

Duplicate Warehouse is a cost-saving tool. After the first screening, import the exported “valid active numbers” into the deduplication warehouse. When submitting any new tasks subsequently, the system will automatically skip the numbers that have been detected and only charge for the numbers that have not been detected. This avoids repeated charges for the same number in different tasks.

Common pitfalls and precautions about tg active screening

1. Reliance on third-party group “active account list”: Many sellers claim to sell “Telegram active numbers”, but in fact they are just registration numbers crawled from the entire Internet, a mixed bag. Be sure to verify it yourself using the screening platform.
2. Over-reliance on a single field: Targeting based only on gender or age may ignore other valuable users. It is recommended to make a comprehensive judgment based on multiple dimensions such as activity level, avatar, nickname, etc.
3. Improper selection of active window: A window that is too short (such as 7 days) results in small data volume and high unit price; a window that is too long (such as 90 days) contains a large number of low-frequency users. Flexibly adjust according to marketing rhythm.
4. Ignore the risk of fake customer service: There are now scammers pretending to be KK-DATA customer service and tricking users into transferring money. Only check the following official channels:

Future Trend: The role of tg active data in cross-border e-commerce customer acquisition

With the emergence of new methods such as short dramas overseas, independent website traffic, and Telegram Bot interactive customer acquisition, the demand for highly active users will only become stronger. A user list with only registrations but no activity will quickly become a burden in the conversion funnel. Establishing the screening habit of “screening first, then targeting, then reaching” as early as possible is a lever for small and medium-sized teams to leverage high ROI at low cost.

For example, the short drama promotion team can filter out numbers that are “active within 14 days + female + age 25–35” and send exclusive episode links in a targeted manner, achieving a conversion rate 3–5 times higher than a random private message. Such refined operational capabilities are increasingly relying on activity data.

FAQ

**Q: How many days can be selected for the most active window of tg active data? ** Answer: Generally, the screening platform provides options such as within 7 days, 14 days, and 30 days. It is recommended to choose according to your marketing cycle. For example, you can choose 7 days for pop-up activities and 30 days for regular brand contact. Shorter windows (such as within 1 day) are generally not used because the amount of data is too small.

**Q: After filtering out tg active data, can I get the other party’s Telegram ID (tgid)? ** Answer: Yes. On the KK-DATA platform, the exported results will include the tgid field, which is convenient for you to further use in private messages, community invitations, or import into other marketing tools. Please note that when using tgid, you must abide by the Telegram platform rules and avoid spam.

**Q: What should I do if the balance of TG active data is not enough? ** Answer: The estimated cost will be displayed before the task is submitted. If the balance is insufficient, new tasks cannot be submitted. At this time, you need to recharge USDT (TRC20) first, with a minimum of about 50 USDT. The balance will be automatically updated after arrival. Completed old task records can still be viewed or exported on the console and will not be lost.

**Q: In the tg active data filtering results, what does the “age” in the gender identification mean? Is it accurate? ** Answer: This is an inferred value matched by the user’s public information (such as personal profile, nickname, group information, etc.) and can be used as a directional reference (for example, screening for groups around 30 years old), but it is not accurate at the ID card level. For accurate delivery, it is recommended to combine it with A/B test verification.

**Q: If I screen the same number multiple times, how can I avoid repeated deductions? ** Answer: It is strongly recommended to use the platform’s data deduplication warehouse function. After the first screening, the exported active numbers and other results will be added to the deduplication warehouse; before submitting new numbers, the system will automatically compare and exclude detected numbers, and only charge for undetected numbers.

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If you are still manually verifying TG numbers one by one, or your customer acquisition efficiency is being hindered by invalid data, now is the best time to change.

👉 Log in to the console to start screening numbers (Registration required, USDT recharge supported, no subscription package) 📞 If you encounter any problems, you can contact customer service in both directions https://t.me/kkdata_robot or directly visit https://kkdata.cc/ to learn more.
📚 Please refer to Usage Documentation for detailed operation instructions.