tg active data check list: 5-step verification that must be done before the event (including screening number practical guide)

Before planning a Telegram marketing campaign, have you taken the time to verify the true active status of the number to be reached? Many teams directly use number segments or number pools accumulated in the past to send messages in bulk. As a result, either the sending failure rate is high, or platform risk control is triggered due to frequent contact with invalid accounts, or even the account is blocked. The core of the problem is: **Is the list of numbers in your hand really “TG active data”? ** The so-called tg active data refers to users who have not only registered for Telegram, but also logged in or used it within a specified time window (such as the last 7 days, 30 days). Prioritizing active numbers can significantly increase the message arrival rate, reduce the risk of account suspension, and make your customer acquisition costs more worthwhile.

This article provides you with a list of operations that can be implemented directly, from goal setting, tool selection, number generation, batch screening to data deduplication, covering the 5-step verification that must be completed before the event. Whether you are doing private message promotion, group invitations or adding followers, this list can help you avoid common pitfalls and efficiently acquire high-quality TG users.

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What is tg active data? Why is it needed before an event?

tg active data refers to user numbers that have been tested and confirmed to meet two conditions at the same time: ① Registered with Telegram (i.e. tg activated); ② Have logged in, sent and received messages, etc. within the specified time period (i.e. tg active). Corresponding to this are “zombie numbers” - which may have never been registered, have not been used after registration, or have been deactivated for a long time.

Prioritizing screening of TG active data before the event has three direct benefits:

1. Improve arrival rate: Messages are only sent to real users, to avoid being detected by Telegram as a large number of invalid sendings and causing account restrictions.
2. Optimize conversion rate: Active users are more likely to open messages, click links or join groups, and the marketing effect can be quantified.
3. Protect account security: Reduce frequent detection of invalid numbers and reduce the risk of IPs and accounts being marked.

Pre-event checklist Step 1: Clarify goals and data requirements

Before opening any screening tool, take 5 minutes to answer three questions:

• **What is the marketing scenario? ** Private message promotion (one-to-one), group invitation, or adding followers? Different scenarios have different requirements for user activity: private messages recommend active users in the last 7 days, and group invitations can be relaxed to active users within 30 days.
• **What portrait fields are required? ** In addition to active status, do you need to filter by gender, age or region? If necessary, tg gender detection can give gender and age estimates, but please note that the age field is based on behavioral model speculation, and the accuracy is not ID card level.
• **What is the target number of users? ** The upper limit of a single screening task is about 1 million. If it is larger, it needs to be done in batches. Knowing the quantity can help you choose the number generation method (random generation/customized number range/importing an existing list).

How to set the active window (such as the last 7 days/30 days/90 days)?

The active window directly determines the “freshness” of the number. The selection criteria are as follows:

Scenario	Suggested active window	Reason
Private message promotion (high conversion efficiency)	Last 7 days	High user activity frequency, high probability of opening messages
Group invitations/adding followers	Last 30 days	Appropriately widen the window to ensure sufficient active base
Brand exposure or long-term cultivation	Last 90 days	Wider scope, suitable for broad reach
Cold start verification	First test in small batches for 7 days/30 days	Test data quality with a small number of numbers before deciding on the final window

When submitting the screening task in KK-DATA, you can specify the window (7 days, 30 days, 90 days or a custom interval) after selecting the “tg active” detection.

Are gender/age fields required?

tg gender detection will return gender (male/female/unknown) and age estimation fields. The age field can be used to filter out groups such as “about 30 years old”, but please understand its accuracy - it is not ID card information, but a comprehensive inference based on chat behavior, nicknames, public information, etc. If your advertiser’s main product is extremely age-sensitive, it is recommended to use age as an auxiliary reference rather than the sole basis for decision-making.

Step 2 of the pre-event checklist: Choose a reliable tg active data screening tool

When selecting, focus on four dimensions: detection type support, billing mode, export format, and data deduplication capability. Take KK-DATA as an example (please refer to it). It supports Telegram, WhatsApp, Line, Zalo, iOS/iMessage, RCS, Viber, Facebook, Instagram, Binance, LinkedIn and other multi-platform screening accounts, and can meet the needs of cross-platform customer acquisition.

What detection types should the platform support?

A qualified tg active data screening tool should at least include:

• tg activation (registration test)
• tg active (active window can be specified)
• tg gender (including gender and age fields, optional)
• tgid export (used to accurately locate users or associate with other platforms)

If your business needs to expand to other social platforms, it is best to choose a tool that supports multi-platform detection to avoid switching multiple systems. For example, KK-DATA also supports WhatsApp activity/gender, Line activation/gender, Zalo activity/gender, etc.

Which is more cost-effective, billing by item or subscription?

Both modes have their own pros and cons, depending on how often you use them:

Dimensions	Billing by item (such as KK-DATA)	Subscription system
Applicable users	Teams with medium to low frequency and variable workload	Teams with large amounts of testing every day and predictable usage
Initial investment	Just recharge the balance, no minimum monthly fee	Usually a monthly/annual fee is required in advance, and it will be wasted if it is not used up
Flexibility	Pay what you use, and you can stop charging at any time	The excess may be calculated separately or the package may be upgraded
Cost controllability	Display estimated cost before each task submission	Fixed cost, suitable for stable output

If you are just starting to try tg marketing, it is recommended to run a few small tasks with the billing tool to test the data quality before deciding whether to purchase it long-term.

Step 3 of the pre-event checklist: Batch generation and verification of TG numbers

Obtaining the number pool to be tested is the prerequisite for screening numbers. There are two ways to get numbers: from your own existing list, or by generating one from scratch.

How to use global number generation?

KK-DATA provides a free number generation function that supports random generation of code segments for 240+ countries/regions, and can also be generated according to specified number segments or customized ranges. It is suitable for scenarios where there is no ready-made number list during the cold start phase. After generation, the screening task can be submitted directly in the system to form a “generate → filter → export” pipeline.

Batch screening process: from submission to export

Taking KK-DATA as an example, the operation steps are as follows:

1. Log in to the console https://app.kkdata.cc/.
2. Select “Number Generation” or upload an existing CSV/TXT file (no generation fee is required, only the number screening fee will be deducted).
3. Create a new task: select the detection type (tg activated + tg active + tg gender, you need to check “tg active” and set the window).
4. The system automatically calculates the estimated cost (please refer to the real-time price on the console), and submit it after confirmation.
5. Wait for the task to be completed (up to about 1 million items at a time, which takes several minutes to several hours).
6. After the task is completed, you will be notified through Telegram and the results will be exported in CSV or TXT format on the console.

Pre-activity checklist step 4: Analyze activity and gender data

After exporting the results, you need to filter the target audience based on your business goals. Examples of common filtering rules:

• “Active in the last 7 days + men”: Suitable for promotion of games, finance, and men’s products.
• “Active in the last 30 days + Age 25-35”: Suitable for general customer acquisition in e-commerce and service categories.
• “Only activated but not active”: This type of number can be used as a backup pool. It is recommended to exclude it first to avoid lowering the conversion rate.

Note that the “tg active status” in the export field is a Boolean value (yes/no), and the “active window” will display the specific interval (such as within 7 days). If “tg gender” is checked at the same time, you will get two fields: gender and age, where age is an estimate.

Step 5 of the pre-activity checklist: Data deduplication and export preparation

A pitfall that many people ignore: repeated detection of the same number in multiple tasks will result in redundant deductions. KK-DATA has a built-in data deduplication warehouse that automatically compares detected numbers across tasks to prevent repeated submissions. It is recommended to develop a habit: turn on the deduplication function before screening numbers each time, or clean the exported number copies regularly.

The exported file usually contains the following fields (subject to the actual export):

-Mobile phone number (international format)

• Country/Region
• tg activation status (true/false)
• tg active status (true/false)
• Active time window (e.g. within 7 days)
• Gender (male/female/unknown)
• Age (number or range)
• tgid (telegram internal ID)

The exported CSV/TXT can be directly imported into your CRM, mass mailing tool or marketing script. Pay attention to data desensitization and privacy compliance: Be sure to ensure that processing methods comply with Telegram’s terms of service and local data protection regulations (such as GDPR).

Common misunderstandings and precautions

• No active window is set, resulting in numbers that are too “cold” or too “hot”: By default, all activated users may be detected, including a large number of long-term inactive numbers, which affects the effect. Be sure to set windows based on activity timeliness.
• Ignore deduplication, resulting in wasted balance: Multiple tasks contain the same number, and charges will be deducted repeatedly. This can be avoided by using a deduplication warehouse.
• Confusing “activated” and “active”: activated does not mean active. Private message promotion requires active users, and group invitations can be appropriately relaxed.
• Overreliance on the age field: Age is an estimate, so allow for margin when making targeting decisions.
• Ignoring customer data privacy compliance: Countries have different regulations on the processing of user mobile phone numbers (such as GDPR). It is recommended to consult legal counsel before activities.

Summary: Use the tg active data checklist to improve activity conversions

Spend half an hour before your event running through this 5-step checklist:

1. Clarify goals and portrait requirements (set active window, confirm whether to select gender and age)
2. Choose a billing tool that supports multiple detection types (such as KK-DATA)
3. Generate numbers in batches and submit number screening tasks
4. Screen the target group based on activity and gender data
5. Export the results after deduplication and prepare for use

These steps can help you accurately target truly active users from a bunch of “potentially valid” numbers, so that every marketing budget is spent wisely. If you are an overseas team or TG community operator, you may wish to run a TG active data check before the next event to experience the complete process from number generation to data export.

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

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FAQ

**Q: How long does it usually take for TG active data detection? ** Answer: The detection time depends on the number of numbers and platform load. The upper limit of a single task is about 1 million, and the time required ranges from a few minutes to a few hours. You can check the estimate on the console before submitting, and you will be notified through Telegram after the task is completed (such as using KK-DATA).

**Q: How accurate is the tg active data detection? ** A: The accuracy depends on the platform algorithm and user privacy policy. Generally, the accuracy of TG activation/active detection is high (up to more than 95%). The gender/age fields are estimated by the model and are not recommended as the only basis for judgment. It is recommended to test with a small sample first.

**Q: How much does it cost to filter tg active data once? ** Answer: The fee is charged based on the number of tests, and the unit price is different for different platforms (Telegram/WhatsApp, etc.) and test types. For specific prices, please check the real-time price of the console or the official website billing page: https://kkdata.cc/billing/。

**Q: What fields can be exported from the filter number results? ** Answer: Common export fields include mobile phone number, country, TG activation status, active status, active time window, gender, age, TGID, etc. The details are subject to the actual exported files of the platform (KK-DATA supports CSV and TXT formats).

**Q: Can I only filter TG users who are “active in the last 7 days”? ** Answer: Yes. When submitting the number screening task, select the “tg active” detection and specify the active window (such as 7 days, 30 days, 90 days, etc.) to only retain the numbers that are active within that time period.