How to obtain tg 30-year-old data and filter active accounts? High Intent Group Screening Tutorial

In overseas marketing and social media operations, accurately targeting high-intent users is the key to improving conversion rates. Many teams only focus on “valid numbers” or “online status”, but ignore two more important dimensions - age of the target population and recent activity. Especially for Telegram community promotion and private message scenarios, if you can obtain tg 30-year-old data in batches and superimpose active filtering, you can lock in high-interaction users with real consumption potential from millions of numbers.

This article will cover technical principles, practical steps, and best practices to completely break down how to use a combination of screening platforms to screen Telegram users who are “about 30 years old and active” and help you significantly reduce the cost of ineffective reach.

What is tg 30 year old data? Where does the age field come from?

The so-called tg 30-year-old data does not refer to the “age query” API officially provided by Telegram, but the age field obtained through the gender detection function of the screening platform, combined with user account information (such as the date of birth filled in public information or algorithm speculation based on avatar/nickname and other data). In KK-DATA’s Telegram screening task, after checking “Gender Detection”, the exported results will include fields such as 年龄, 性别, etc.

Accuracy and usage prerequisites of age field

• Field Format: Usually displayed as numerical age (such as 25, 30) or age group (25-30), whichever is more specific is the CSV exported by the console.
• Applicable people: More suitable for users who have filled in their true date of birth in private messages. For accounts that have not been filled in, the algorithm will make a fuzzy estimate based on public information.

Why choose “about 30 years old” as the target group?

• Strong consumption decision-making power: User groups around 30 years old usually have stable economic income and have high acceptance in fields such as financial investment, education and training, cross-border commodities, and digital assets.
• High community participation: Users in this age group are more willing to join paid communities and participate in online activities, making them ideal targets for overseas community operations.
• Compatible with multiple markets: Whether it is e-commerce promotion in Malaysia, new tool apps in Europe and the United States, or social products in Southeast Asia, the 30-year-old crowd is one of the core user profiles.

How to determine whether a Telegram account is an “active account”?

Activity refers to the interaction/login frequency of a Telegram account in the recent period. In the number screening logic of KK-DATA, Telegram activity detection determines whether the account is “alive” and actually used by simulating interactive signals, rather than just verifying whether the number has been registered (the activation detection only verifies whether it is registered).

Typical window settings for activity detection

You can choose different active windows based on promotion type:

• Active for 7 days: Suitable for short-term activities/promotions, filtering users who have used frequently recently, with the highest conversion but the smallest pool.
• 30 days active: Balanced option, balancing user base and interaction probability, suitable for regular product promotion.
• 60 days and above: Suitable for brand awareness promotion, with a large user base but weak recent activity.

Combination logic of activity and other fields (gender, avatar, etc.)

KK-DATA supports checking multiple detection types in the same task, and the final exported data is returned in an “AND relationship” - that is, only numbers that meet all filtering conditions at the same time will appear in the results. For example:

• Conditions: male + age 25-35 + active within 7 days + have avatar
• Return: a list of users who meet the above four conditions at the same time

Comparison of activity vs activation detection

Detection type	Description	Applicable scenarios
Activate detection	Only verify whether the number has been registered with Telegram	Basic deduplication and preliminary screening
Activity detection	Verify whether the account has been operated within the specified time window	High-value promotion, private message contact

Why do we need to filter “tg 30 years old data” and “active” at the same time?

The limitations of single-dimensional filtering are obvious:

• Filter age only: You may get a large list of accounts “around 30 years old”, but it may contain a large number of zombie accounts or accounts that have never been used after registration. After sending messages, nothing happens.
• Only filter active: You can get a large number of users who have been online recently, but you cannot judge whether they are the “target group” - if it is a financial product for male users, but it reaches a large number of female users, the conversion rate will also be worrying.

The value of combination screening lies in: Frame the group portrait by “age” and filter the interaction willingness by “activity”. The combination of the two is like adding bait and float to a fishing line - you can not only determine the location of the fish school, but also know which fish are eating, thus greatly improving the efficiency of acquiring customers.

How to combine and filter tg 30-year-old data and active accounts in KK-DATA? (Practical steps)

The following takes the KK-DATA console as an example to show the complete operation process step by step. Before you begin, please make sure you have completed your deposit via USDT (TRC20).

Step 1: Prepare a list of numbers to be tested

You can generate random numbers from any country for free in the [Number Generation] module of the console (supports 240+ countries/regions), or generate them in batches through “Number Segment Generation”. If you already have the CSV/TXT number file of your target market, you can import it directly.

Step 2: Configure age filter conditions

1. Log in to KK-DATA Application Console.
2. Click “New Screen Task” → select “Telegram Screen”.
3. In the “Detection Type” area, check “Gender Detection” (including age field).
4. In the filter conditions, set the Age Range: 25 ～ 35 years old (approximately covering the “about 30 years old” crowd).

Step 3: Set the activity window and submit the task

1. On the same task configuration page, additionally check “Active Detection”.
2. Set active window: It is recommended to choose 30天 or 7天 for the first time, and 7天 is optional for high-frequency promotion.
3. The system will automatically calculate the estimated cost (see the real-time price on the console for details), and click Submit after confirming it is correct.
4. After the task is completed, the system will send a notification through the Telegram bot. You can also actively enter the “Task Record” page to check the progress.
5. When exporting results, select CSV or TXT format. The fields include: number, tgid, age, gender, whether active, last active time, etc.

Best practices for tg 30-year-old data and activity combination screening

Recommended parameter configuration

Scenario	Age range	Active window	Single task magnitude
Promotion of European and American financial products	25-35 years old	7 days	100,000-200,000 items
Southeast Asia Social App Recruitment	20-30 years old	30 days	300,000-500,000 messages
Malaysian e-commerce traffic	25-40 years old	30 days	100,000-300,000 items
Digital Asset (Web3) Community	28-35 years old	7 days	50,000-100,000 items

Advanced techniques for combination filtering

• Overlay Gender Field: If the promoted product has an obvious gender bias (such as female beauty), you can check “Gender Detection” in the same task and specify it as “Female + Age 25-35”, so that the results will be more accurate.
• Export tgid for private messages: It is recommended to check “Export tgid” in the task configuration. Subsequent private messages can be reached through Telegram robots or third-party tools without relying on mobile phone numbers.
• Use data deduplication warehouse: There may be duplicate numbers between multiple tasks. It is recommended to turn on the “data deduplication warehouse” function to avoid repeated detection and deduction of the same number.
• Batch test window: First use a small batch (such as 10,000 items) to test the return volume of 7-day active and 30-day active, and then determine the final window.

Frequently Asked Questions (FAQ)

**Q: How accurate is the age field in tg’s 30-year-old data? ** Answer: The age field comes from the date of birth (if filled in) in the Telegram user profile, or is estimated through an algorithm. It is usually presented as a specific value or age group (such as 25-30), not an accurate value at the ID card level. It is recommended to use interval screening (such as 25-35 years old) to approximate the 30-year-old population. Do not expect 100% accuracy.

**Q: Do I need to pay for activity detection? ** Answer: Yes, Telegram activation detection, activity detection, gender detection, etc. are all billed on a per-item basis. For specific unit prices, please check the real-time price on the console. When combining screening, each detection type is billed separately. The estimated cost will be displayed before the task is submitted. If the balance is insufficient, the submission cannot be made.

**Q: Can I filter only accounts that are 30 years old and active in the last 7 days? ** Answer: Yes. In the Telegram number screening task of KK-DATA, check “Gender Detection” (including age field) and “Activity Detection” at the same time, set the age range to 25-35 years old, and the active window to 7 days, and you can find out the qualified numbers at once.

**Q: What fields does the filtered age data contain? ** Answer: The exported results usually include fields such as number, tgid, age, gender, active status (yes/no), recent active time, etc. Please refer to the CSV exported by the console for specific column names. The fields may be different under different detection type combinations.

**Q: Will combination screening be time-consuming? ** Answer: The task time depends on the total number of numbers and the number of detection types. A single batch is recommended to be less than 500,000 items, and is usually completed within a few minutes to a few hours. The system supports notification through Telegram robot after the task is completed, without waiting in real time.

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Summary and next steps

By combining tg 30-year-old data and activity, you can accurately target target users with real potential for interaction from a large number of numbers, greatly improving the conversion rate of community operations and private message promotion. For overseas teams, this is not only a way to save budget, but also an effective strategy to optimize traffic quality and reduce complaint rates.

Now you just need:

1. Log in to the console and generate or import a number list.
2. Configure the Telegram screening task and enable age and activity detection.
3. Export the results and start precise promotion.

Start your first combo screening mission now.

👉 Log in to the console to start screening numbers If you have any questions, please contact customer service in both directions for real-time help: https://t.me/kkdata_robot Detailed usage documentation can be accessed:https://docs.kkdata.cc/ Learn more about product background:https://kkdata.cc/