Full analysis of tg active data export fields: from detection to export, improving overseas customer acquisition efficiency

Among overseas customers, Telegram has become the preferred channel to reach overseas users due to its high privacy and community activity. However, blindly sending messages to numbers that are not registered or have been offline for months not only wastes recharge and API resources, but may also lead to the risk of account suspension. The core value of tg active data export is to detect the registration status, recent online behavior and basic attributes of accounts in batches, and then screen out high-potential users who are “really interactive”, thereby improving the conversion rate.

This article takes the tg active detection function of the KK-DATA platform as an example to break down the meaning of the exported fields, business scenarios and practical suggestions to help you directly implement the customer acquisition process.

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

tg active data, simply put, refers to the combination of status information related to Telegram accounts obtained after batch verification of a batch of mobile phone numbers through detection tools. Typical output includes: whether the number has been registered with Telegram (activation detection), how long ago it was last online (activity detection), and gender, age group, tgid (Telegram internal identifier) and other fields that can be extracted from public information.

Why is activity data more important than simply “registered”?

• Users who are registered but inactive for a long time (for example, have not been online for 6 months) have a very low chance of being viewed when sending private messages or inviting people to join a group;
• Active users are more likely to respond to messages, join groups, and complete conversions, and their real interaction rate is several times that of silent users;
• Filter users who are “online within 7 days” through the activity window, which can directly filter out a large number of zombie accounts and trumpet accounts, significantly improving reach ROI.

Complete the export of TG active data before reaching the target, which is equivalent to upgrading blind mass sending to precise delivery. The following details how KK-DATA completes this process.

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How does KK-DATA export tg active data? (What detection fields are supported?)

After logging in to KK-DATA Application Console, the process of creating a “Telegram Detection Task” is very intuitive:

1. Import numbers to be detected: Supports uploading CSV, TXT or pasting text. The maximum number at a time is about 1 million.
2. Select detection type: You can check “Telegram activation” (check whether you are registered), “Telegram activity” (specify time window), “Telegram gender” (including age group, race and other fields).
3. Set active window: You can select custom days such as 1 day, 7 days, 14 days, 30 days, etc.
4. Submit task: After the task is completed, the system will send a Telegram notification (requires binding in advance).
5. Export results: Click “Export” on the task details page and select CSV or TXT format.

The core fields in the export file and their business meanings are expanded one by one below.

Core field one: tg activation (registration detection) and activity time window

Field example: 号码 | 是否注册 | 最后在线时间 | 活跃度标签 138xxxx1234 | 是 | 2025-03-28 14:23 | 7天活跃

• tg activation (registration test): Confirm whether the number has a Telegram account. This is the most basic filtering layer, eliminating invalid numbers.
• Activity Detection: Based on the difference between the last online time and the current time when submitting the task, each record is labeled “active within xx days”. For example, if the task sets a “7-day active window”, then the last online time within 7 days will be recorded as “7-day active”, and if it exceeds the last online time, it will be recorded as “non-current window active”.

Superimposed use: First filter out the “registered” numbers, and then select the “7-day active” list in the results. This avoids performing activity detection on unregistered numbers (wasting resources) and only retains recently active targets.

Core field two: gender data and age interpretation

KK-DATA’s tg gender detection will try to match the gender, age group, avatar and other information filled in Telegram’s public profile. Export fields include:

• Gender: Male, Female, Unknown.
• Age field: The detection results will give a general range or classification (such as “18-24 years old”, “25-34 years old”, “35 years old +”). Note: This age is not an accurate data at the ID card level, but an approximation based on public information (such as self-declaration, profile page emoticons, etc.). It can be used to filter targeted needs such as “people around 30 years old”, but should not be used in scenarios that require strict identity verification.

With the Gender+Age field you can:

• Push game/tool products to male users;
• Design beauty/maternity and baby drainage copywriting for women aged 25-35;
• Obtain richer crowd portraits and use Lookalike models for subsequent advertising.

Core field three: tgid export and multi-scenario reuse

tgid is a globally unique integer ID assigned to each account by Telegram. By including tgid in the exported field:

• Cross-platform association: If your own CRM also stores tgid, you can quickly match user portraits.
• Refined deduplication: The mobile phone number may be recycled and re-registered, but the tgid will not be reused once generated. Using tgid to remove duplicates is more accurate than relying solely on mobile phone numbers.
• Follow-up message push: Some third-party tools support calling by tgid instead of mobile phone number, which can avoid number format issues.

It is recommended to check both “mobile phone number” and “tgid” when exporting to facilitate data integration.

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In what practical scenarios can tg active data export be used?

Scenario 1: Accurately add followers in private communities

Independent websites or e-commerce teams usually need to attract target users to Telegram groups for in-depth operations. The traditional approach is to purchase or crawl a large number of numbers and directly invite them into the group. However, unregistered numbers will be rejected, and there will be no interaction after zombie numbers are added to the group.

tg active data export Solution:

1. Collect potential customer numbers from the target market (for example, through event registration forms, advertising Lead collection).
2. Submit to KK-DATA to detect “activation + 7 days active”.
3. Export the list of numbers that only contain “registered and active for 7 days”.
4. Send friend requests or group invitations in batches.

In this way, the pass rate can be increased from 5%-10% to 30%-50%, and the activity within the group will be significantly improved.

Scenario 2: Competitive product community user hunting and target customer screening

Assume that your team has obtained the mobile phone numbers of members of competing Telegram groups through public crawlers or third-party channels (pay attention to compliance). At this point you can:

• Use KK-DATA’s “Telegram activation” detection to filter out canceled or unregistered numbers.
• Perform “activity” detection on the remaining numbers and retain users who have been online recently.
• After exporting the results, use labeling to layer them: active users are given priority to recommend their own products via private messages.

This approach is particularly useful in industries that require a high level of trust, such as B2B software, fintech, and cryptocurrencies—active users of competing products themselves have proven receptive to such services.

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Best practice recommendations for tg active data export

Suggestion 1: Set the activity window reasonably to avoid excessive filtering

The online frequency of users in different industries varies greatly:

• Games/Social: Users may go online every day, just set a 1-3 day window;
• Education/Tools: Users may only log in 1-2 times per week, 7 day window recommended;
• Finance/Insurance: Users may only check this once a month, a 14-30 day window is more appropriate.

It is recommended to first test three windows of 7 days, 14 days, and 30 days in small batches (for example, 100 messages), observe the hit ratio of each window, and then choose the most economical window based on your reach resources (manpower, message quota).

Suggestion 2: Enable data deduplication warehouse to avoid repeated detection

If the number lists exported multiple times overlap, repeated submission for detection will waste the balance. KK-DATA provides data deduplication warehouse:

• All historical numbers can be uploaded to the warehouse in the task panel;
• When a new task is submitted, it is automatically compared with the warehouse and the numbers that have been detected are eliminated;
• The scope of deduplication can span tasks and users (team collaboration mode).

This function is especially suitable for scenarios where the operations team regularly performs “active account cleaning” every week. It is recommended that after the first comprehensive test, only newly added numbers will be tested in the future.

Suggestion 3: Export in batches by task and coordinate with format planning

• For large tasks with more than 1 million items, split them into 200,000-500,000 subtasks and submit them in batches to reduce risks (for example, all progress will not be lost in a single failure).
• The export format selection is CSV (leaving fields intact) or TXT (number list only), depending on the subsequent tool:
  • CSV is suitable for importing into CRM and data analysis software (such as Excel, Google Sheets);
  • TXT is suitable for copying directly into mass sending tools or scripts.

If you need to connect active data with your own system later, it is recommended to always export CSV and retain all fields for secondary processing.

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FAQ

**Q: What are the specific fields included in tg active data export? ** Answer: The main fields include: mobile phone number, whether to register Telegram (activation test result), last online time/activity tag (judged based on active window), gender recognition result, age group (approximation), and tgid. The export fields of different detection types (activated only, active only, including gender) will be slightly different, and the actual export file of the console shall prevail.

**Q: How do you understand the “active window” of activity detection? ** Answer: The active window refers to the time interval between the last time the user was online and when you submitted the detection task. For example, selecting “Active for 7 days” means that the user has online behavior at least once within 7 days. In the KK-DATA console, you can customize the active window such as 1 day, 7 days, 14 days, 30 days or a custom number of days.

**Q: What is the use of tgid after exporting? ** Answer: tgid is the unique internal identifier of a Telegram user. After exporting, it can be used to: 1) import third-party data analysis tools to make user portraits; 2) associate it with other platform data (such as group membership records) through tgid in its own system; 3) serve as a more accurate basis for deduplication (mobile phone numbers may be recycled, but tgid is permanently unique).

**Q: How is the cost of TG active data detection calculated? ** Answer: Billed by item. The “activation” and “activity” tests for each number usually belong to the same test item (specifically, the platform billing rules shall prevail); if gender is tested at the same time, additional charges will be based on the gender test item. For the accurate unit price, please check Console Real-time Price, or pay attention to the official website Billing Instructions for updates.

**Q: Can the exported activity data be guaranteed to be 100% usable for private messaging? ** Answer: No. tg activity data detects whether the user has online behavior during the window period, which does not mean that the user must accept strangers’ messages or group chat invitations. It is recommended to use the export results as the first step of “high-potential user filtering”, and then cooperate with targeted content strategies (such as customizing invitation copy, joining groups first and then sending private messages) to improve the pass rate.

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Want to quickly obtain accurate tg activity data and export it for immediate use? 👉 Log in to the console to start screening numbers If you encounter any field interpretation or task setting problems, you can get immediate help by contacting customer service in both directions: https://t.me/kkdata_robot For more usage documents, please visit https://docs.kkdata.cc/, and for official website news, please follow https://kkdata.cc/blog/.