How to get TG 30-year-old data? KK-DATA gender detection age field guide

In overseas marketing and community operations, we often hear the demand for “TG 30-year-old data” - we want to find active users around 30 years old on Telegram for targeted promotion or layered operations. However, in actual operation, many teams only rely on the number of numbers to reach them, and the results are uneven. This article will combine the Telegram gender detection function of KK-DATA to explain in detail the acquisition logic, practical steps and usage boundaries of tg 30-year-old data to help you truly use the age field.

What is TG 30 year old data? Why is it important to acquire customers overseas?

First of all, one thing needs to be clarified: tg 30-year-old data is not an independent product of KK-DATA, it comes from the age field included in the “gender detection” results in the Telegram screen number. When submitting a number for gender detection, the system will return the gender (male/female/unknown) and the approximate age range (for example, 25-34, 35-44, etc.), and you can filter out users around 30 years old directly from the export file.

Where does the age field in gender detection come from?

The age field is estimated based on public user behavior data, registration information and algorithm models. It is reference information and is not an accurate ID card age. KK-DATA is output as the age_range or estimated_age field in the gender detection results (the specific field name is subject to the console export), and common values ​​are 25-34, 35-44 and other intervals. When you need to target people around 30 years old, choose the 25-34 range to cover the main target.

Typical application scenarios for 30-year-olds in acquiring customers overseas

This group of people has very outstanding commercial value. Typical scenarios include:

• Finance Management/Investment App Promotion: People around the age of 30 start to have a stable income and focus on asset appreciation.
• Education and Training (Occupation/Language): In the rising stage of the career, self-improvement is required.
• Local life/e-commerce: The main consumer of households with strong purchasing power.
• Game/Entertainment: Have a certain willingness to pay and are highly active.

If you are doing Telegram marketing in Southeast Asia, the Middle East, Latin America and other markets, targeting users with a clear gender between 25-35 years old can greatly increase the conversion rate.

KK-DATA How to provide Telegram gender detection results with age field?

On the KK-DATA platform, you do not need to purchase additional “age detection” services. You only need to check the “Gender Detection” type when creating the Telegram Screening Task, and the exported results after the task is completed will include the age field. Note: Gender detection is an independent detection type and is billed on a per-item basis (please check the real-time price on the console for specific unit prices).

Contents and interpretation methods of age field

Taking an actual task as an example, you may see columns similar to this after exporting CSV:

phone	tg_active	gender	age_range
6281xxxx	1	male	25-34
9715xxxx	0	female	35-44

Among them, age_range is the age range. You can filter out the 25-34 numbers through Excel or any text editor, and then combine them with the gender field for further targeting. If you need a more precise “about 30 years old”, you can customize the interval as 25-35 (but the system currently only returns a fixed interval, and it is recommended to use 25-34 as an approximate replacement).

How to use the age field to target people “about 30 years old” (25–35 years old range)

Recommended strategy:

1. Filtering interval: age_range = 25-34.
2. Cross Dimension: Add gender = male (or female) and tg_active = 1 (recently active) to further improve the quality of reach.
3. Cleaning after export: If you need a narrower range (for example, 28-32), you can manually randomly sample or fine-tune based on business data, but the system cannot accurately locate the single-digit age.

Practical steps: Get Telegram filtering results containing age information in KK-DATA

The following is a complete process demonstration: from preparing the number to exporting the result containing the age field.

Step one: Obtain the number to be detected (global number generation/custom import)

You can use the global number generation function in the KK-DATA console to generate random numbers in batches by country and number segment (free, fees will be deducted only when filtering numbers), or you can directly upload existing CSV/TXT number files. If you have an existing list of target countries, it is recommended to import them manually.

Step 2: Create a screening task, select “Gender Detection” and submit

1. Log in to KK-DATA Console.
2. Enter the “Screen Number Task” page and click “New Task”.
3. Select platform: Telegram.
4. Check in the detection type: Activate detection (recommended to be selected) + Active detection (optional) + Gender detection (must be checked to get the age field).
5. Upload the number file or paste the number, preview and submit the task.

Note: The estimated fee will be displayed before the task is submitted. You only need to ensure that the balance is sufficient (the balance can be recharged through USDT TRC20, with a minimum of about 50 USDT).

Step 3: View the task results and export the filtered data containing the age field

After the task is completed (usually a few minutes to tens of minutes, depending on the number of numbers), you will see the status change to “Completed” in the task list. Click the task name to enter the details page, select the “Export” button, and select CSV or TXT as the format. The exported file will contain the age_range column, which can be filtered directly by interval.

How to use the age field to optimize your Telegram marketing strategy?

After getting the data containing the age field, you can develop a more accurate push plan for the 30-year-old crowd:

• Content: People in their 30s pay attention to family, health, career advancement, financial management and savings. Avoid content that is too young or too old when pushing.
• Time: This group of people usually work during the day, and 8-10 pm is the peak of community activity. Combined with the activity field (tg_active), numbers that have been active in the past 7 days are prioritized.
• Talk skills: Use keywords such as “career advancement”, “family security”, “side job to increase income”, etc. to match the anxiety points of people aged 25-34.

In addition, the gender field can be combined to further group the groups: men focus on “investment/tools/efficiency”, and women focus on “parenting/beauty/quality of life”. If you filter out Line and WhatsApp data at the same time, you can also combine them across platforms, but pay attention to deduplication - KK-DATA’s data deduplication warehouse can help you avoid duplicate detection.

Common notes: usage boundaries and risks of the age field

While the age field is useful, it’s important to understand its limitations:

• For marketing reference only: Do not rely on it for risk control, age verification or legal-related decisions.
• Avoid absolute statements: Do not claim “age accuracy is 99%”, it is actually an interval estimate.
• Collocation with other dimensions: The effect of using the age field alone is limited. It is recommended to combine it with activity, gender, and even region (through area code) for cross-analysis.
• Pay attention to privacy compliance: When using age tags for marketing, comply with the data regulations of the target country to avoid the misuse of sensitive information.

FAQ

**Q: Is TG 30-year-old data an independent product of KK-DATA? ** Answer: No. It is a field included in the “gender detection” result in the KK-DATA Telegram filter. It is used to output age estimates and is usually returned together with gender, activity and other information.

**Q: How accurate is the age field? Can it be accurate to a specific age? ** Answer: This field is based on public data and algorithmic estimation. It can be used as a marketing reference (such as screening people in the 25–35 age range), but it cannot achieve ID card-level accuracy. Please do not use it in verification scenarios that require precise age.

**Q: How to export data containing age field? ** Answer: Check “Gender Detection” when creating a task in the KK-DATA console. After the task is completed, choose to export CSV or TXT format in the results list, and the age field will be included in the file.

**Q: When screening people “about 30 years old”, what interval is recommended? ** Answer: It is recommended to refer to the gender and activity fields at the same time. The age range can be set to 25–35 years old, and further manual cleaning based on actual needs after exporting.

**Q: Are there any additional charges for using the gender detection function? ** Answer: Yes, Telegram gender detection is an independent detection type and is billed based on the number of messages. The specific unit price is based on the real-time price of the console.

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Now you have the complete method to get tg 30 years old data. It is recommended to test the gender detection function on a small-scale number first to become familiar with the interval distribution of the age field, and then scale up to large-scale tasks. If you encounter any problems during operation, please feel free to get help through the following channels:

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For more documentation, please refer to: https://docs.kkdata.cc/ Official homepage: https://kkdata.cc/