tg 30-year-old data practical guide: How to use the age field to accurately target outbound target groups

In the field of overseas marketing, tg 30-year-old data is becoming the focus of more and more teams. Accurately screening out active users on Telegram who are about 30 years old means that you can directly reach the golden crowd with mature decision-making power, strong spending power, and high social activity. This article will give you a thorough understanding of what TG 30-year-old data is, and provide you with a complete practical guide from number generation and screening to outbound message writing and cost assessment. Whether you are a cross-border e-commerce operation, B2B SaaS promotion or a community player, you can find a feasible operation path.

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What is tg 30 year old data? ——Clarify concepts and real abilities

First of all, it needs to be made clear: **tg 30-year-old data is not an independent product, but the age field in the Telegram gender detection results. ** When you submit the “Telegram gender detection” task to a screening platform such as KK-DATA, the platform will output results including gender, age, avatar, tgid and other fields based on the user’s public social profile information (such as age, avatar, nickname, etc. in the profile). The Age field allows you to filter out users who are approximately 25–35 years old (or other specified range).

What needs to be viewed objectively is that this age field is not ID-level accurate data, but an inference based on social information. For most overseas marketing scenarios, using age fields for crowd targeting is enough to improve conversion rates - you don’t need 99.9% accuracy, but you need smarter targeting capabilities than random reach.

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Why are people around 30 years old the golden audience for overseas outbound?

Users around 30 years old (25–35 years old) have three core advantages in acquiring customers overseas:

• Mature financial capabilities: Have been in the workplace for 5-10 years, have stable income, and have purchasing power for high-priced goods, SaaS subscriptions, and paid communities.
• High decision-making efficiency: Have independent judgment ability, will not be disgusted by a sales pitch, and can quickly evaluate value and complete conversion.
• Good social activity: Telegram, WhatsApp, Line, etc. are their daily communication tools, and private messages are easier to see.

For cross-border e-commerce independent websites, B2B software trial promotion, overseas community operations and other scenarios, targeting this group of people can significantly reduce invalid harassment and increase the response rate and transaction rate. And once you master the screening method of tg 30-year-old data, you no longer need to search for a needle in a haystack.

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How to obtain and utilize tg 30-year-old data? ——From number generation to filtering and exporting

The following takes a complete outbound customer acquisition process as an example to demonstrate how to use the KK-DATA platform to generate target numbers from scratch and filter out active Telegram users around 30 years old.

Step 1: Generate or import numbers

In the KK-DATA console (https://app.kkdata.cc/）中，“全球号码生成”模块支持240+国家和地区的随机号码生成，也支持按号段导入自定义CSV。比如你想开发东南亚市场，可以选择越南+84号段，生成10万个手机号。**号码生成是完全免费的**，生成后直接作为筛号源数据。

If you already have a customer list on hand (such as numbers exported from another tool), you can also upload the CSV/TXT file directly. Supports batch import, up to about 1 million items at a time.

Step 2: Submit the Telegram screening task to screen people around 30 years old

1. Select “Screen Task” → “New Task” on the left side of the console.
2. Select the platform as “Telegram”, and the detection type must be checked Telegram gender detection (including age field).
3. After uploading the number file generated in the first step, the system will display the estimated deduction amount. Submit after confirmation.
4. Wait for the task to complete (a few minutes to a few hours depending on the amount of data). After completion, the result file can be downloaded on the task details page.

Key operation: In the filtering options of the result file, find the “Age” field and set the filtering conditions (for example, age ≥ 25 and ≤ 35) to export all user data about 30 years old. At the same time, you can also filter “activity”, such as specifying users who have been active in the last 7 days, to further improve the quality of reach.

Step 3: Data deduplication and export

In multiple screening tasks, duplicate numbers may be generated. KK-DATA has a built-in data deduplication warehouse function, which allows you to compare and deduplicate numbers across tasks to avoid repeated detection of the same number and waste of balance.

After deduplication is completed, choose CSV or TXT format to export the filtered results. It is recommended to export the complete data including tgid to facilitate subsequent direct sending of messages in Telegram API or third-party tools.

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Things to note when writing outbound messages

When you get the tgid or mobile phone number of a user who is about 30 years old, the next step is to send a contact message. The following suggestions can help you complete outbound more efficiently and with lower risk:

• Style matching age group: For users around 30 years old, messages should be professional and well-founded. Avoid excessive marketing rhetoric (such as “free for a limited time”, “wait a year if you miss today”), and use cases, data, and value points to communicate.
• Provide a clear unsubscribe path: Comply with the anti-spam policies of Telegram, WhatsApp and other platforms, explain the purpose of your visit in the first message, and provide operation options such as “reply 0 to unsubscribe”. There are also relevant compliance tips in the KK-DATA document.
• Verified official customer service: Any issues involving recharge and account operations can only be contacted through the Telegram customer service announced on the official website. KK-DATA’s official anti-fraud query function can verify the identity of customer service to avoid being defrauded of funds by fake accounts.

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How to evaluate the ROI of tg 30 year old data? ——Billing by item vs. subscription system

Compared with traditional subscription-based tools (fixed monthly payment, money will be deducted regardless of use), KK-DATA’s per-item billing model is more suitable for overseas teams who use it flexibly:

• No subscription package: You only need to recharge USDT (minimum of about 50 USDT) to the balance, and then the fee will be deducted according to the number of tests after each screening task is completed.
• Controllable Cost: You can start small batch testing with a few hundred numbers, and then scale up after verifying the data quality. The system will display the estimated cost before submitting the task to avoid overspending.
• Specific unit price: Telegram has different unit prices for different detection types (only activation detection vs gender detection). For details, please see the real-time price on the console or the official website billing page.

Compared with the subscription system, the advantage of per-item billing is that if a certain batch of numbers is of poor quality and inefficient, your loss is only the detection fee of these numbers; while the subscription system will waste one month’s package quota. With reasonable planning, the ROI of tg 30-year-old data can far exceed traditional extensive customer acquisition.

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FAQ: tg 30-year-old data screening and outbound practical Q&A

**Q: Is the TG 30-year-old data accurate? Can it reach the ID card level? ** Answer: The tg 30-year-old data refers to the age field filled in the Telegram social profile, and the platform performs matching based on the user’s public information. The data can be used as a reference for crowd targeting, but it cannot achieve the accuracy of ID cards or official agencies. It is recommended to make a comprehensive judgment based on other dimensions (such as activity level).

**Q: What specific filters does the filtered age field support? ** Answer: After submitting the TG gender detection task in the console, the results will include the age field, and you can set the age range (for example, 25–35 years old) for filtering. The specific fields are subject to the console export file.

**Q: How many numbers can be processed at most for each number screening task? What’s the unit price? ** Answer: The maximum number of single tasks is about 1 million. The specific unit price varies depending on the platform and detection type. Please log in to the console to view the real-time price. The estimated cost will be displayed before the task is submitted.

**Q: In addition to Telegram, can users of about 30 years old on other platforms also be screened? ** Answer: Yes. KK-DATA supports filters for multiple platforms such as WhatsApp, Line, Zalo, Viber, Facebook, and Instagram. Some platforms also provide gender/age fields, but the specific available fields are subject to the console. Can be combined and filtered across platforms.

**Q: If there are only a few numbers (for example, only a few dozen), can I still use this platform? ** Answer: Yes. The platform supports testing any number of numbers (minimum number is 1), fees are deducted per number, and there is no minimum number of tasks. Assess data quality after small-scale testing before scaling up.

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Now you know how to use tg 30-year-old data to optimize your outbound strategy. Whether it is generating numbers, screen numbers or exporting data, KK-DATA provides a complete pipeline tool. Don’t hesitate to try small batch testing now and find your golden crowd.

👉Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot For more gameplay, please refer to Official Documents and Official Home Page