TG 30-year-old data Cost estimation: How to control the budget in Telegram gender screening?

In the actual overseas customer acquisition scenario, many teams will pay attention to the “tg 30-year-old data” - that is, the age field is obtained through the Telegram screen number for targeted communication or market analysis. But many people are worried about the cost getting out of control: How much does it cost to test 10,000 strips? Will it be found after the test that most of the numbers have no age information? This article helps you make clear calculations from definitions, acquisition methods, cost structures to budget estimates to avoid wasting money.

What is tg 30-year-old data?

The tg 30-year-old data is the age field result returned by the Telegram gender detection model. This field is parsed based on the public information (non-ID card level) filled in by the user when registering. It is mainly used to filter people aged around 30 years old (for example, the 28–35 years old range), rather than precise to the specific date of birth.

Note: The age field is an incidental result of Telegram’s gender detection. KK-DATA does not have an independent “age-specific product” and does not support exact matching by age. You can understand it as the age reference in crowd portraits.

For overseas teams, people around the age of 30 tend to have stronger consumption decision-making power (such as entrepreneurs and backbones in the B2B business) or are more interested in specific categories (such as finance, education, cross-border e-commerce). Through tg 30-year-old data, you can narrow the reach and improve the conversion rate.

How to obtain data containing age field through Telegram filter number?

KK-DATA’s number screening process is divided into three steps: prepare the number source → select the test type and submit the task → export the results.

Step 1: Prepare the number source to be tested

You need a list of mobile phone numbers as a “pool to be tested”. There are three sources:

• Global Number Generation (Free): In the console (https://app.kkdata.cc/）使用“全球号码生成”模块，按国家/地区、号段随机生成号码，无需付费。
• Custom CSV Import: If you already have a list of numbers (e.g. from a legacy system or purchased data), you can upload a CSV file.
• Direct import of existing lists: Supports TXT format with one number per line to facilitate docking with existing data.

It is recommended to first use the generation function to do small batch testing (such as 1,000 numbers), and then adjust the overall strategy based on the results.

Step 2: Select the Telegram gender detection type and submit the task

When creating a filter task in the console:

1. Select the platform as Telegram
2. Check Gender for the detection type (the system will automatically add the age field, no additional selection is required)
3. Paste or upload the number list (up to about 1 million at a time)
4. Check the system’s estimated fees (calculated based on real-time unit price), and submit after confirming that the balance is sufficient.

After the task is submitted, the system starts to detect it and notifies you through Telegram when it is completed.

Step 3: View the results and export data with age field

After the task is completed, click “Export” on the console task details page and select CSV or TXT format. After downloading and opening it, you will see fields similar to this:

• phone(number)
• active (active or not)
• gender (Gender)
• age (Age, such as “30 years old”, “28-35 years old”, etc.)

Use Excel or script to filter the age column to extract people around 30 years old.

tg What factors determine the cost of 30-year-old data?

For the same TG gender test, the final cost may vary greatly. Mainly affected by the following three variables:

Number number and effective detection volume

The higher the number of tests, the higher the total cost will naturally be. But note: Only the number actually detected will be deducted. If there are duplicates, invalid formats, or previously detected numbers in the list, the system will skip them and charge them free of charge.

Detection type and real-time unit price

The unit price of Telegram gender detection is different from other platforms (such as WhatsApp, Line) and may be adjusted over time. Don’t believe any third-party fixed quotes, everything is based on the console (https://app.kkdata.cc/）创建任务时显示的实时价格为准。登录后选定检测类型，页面会直接显示“每条检测费用”。

Impact of data deduplication on budget

KK-DATA has a built-in data deduplication warehouse: it will record all detected numbers and automatically skip the detected numbers when submitting a task next time to avoid repeated deductions. For scenarios where the same batch of numbers are used repeatedly (such as testing activity first and then gender), the deduplication warehouse can save 10% to 30% of balance consumption.

How to estimate the budget for tg 30-year-old data?

Although the final cost depends on the real-time unit price, you can quickly calculate it by following the following three steps.

Step 1: Clarify the size of the target population and detection fields

Suppose you want to obtain 5,000 valid numbers, and the proportion of them requires no less than 60% to be around 30 years old. Then the total number of numbers you need to submit for inspection = 5000 ÷ (age return rate * 30-year-old proportion). The age return rate is generally 20%50% (depending on the number quality), and the proportion of 30-year-olds in the age returned data is about 1/31/2 (affected by the number segment). A simple estimate: To obtain gender data on 5,000 people aged around 30 years old, approximately 30,000 to 50,000 numbers need to be sent for inspection.

Step 2: Check the real-time price on the console and calculate the gross estimated cost

Log in to https://app.kkdata.cc/, create a Telegram gender detection task, enter a test number and check the “cost per test”. Assuming that the real-time unit price is X USDT/item, the gross estimated cost = total number of numbers submitted for inspection × X. For example, if 40,000 items are submitted for inspection and X=0.005 USDT/item, the gross estimate is about 200 USDT.

Actual cost will be reduced by deduplication and invalid numbers, so gross estimate is the upper limit.

Step 3: Optimize costs using deduplication and batching strategies

• Submit in batches: Submitting 50,000 items at one time may exceed your budget. You can submit in 5 batches of 10,000 items each time. After each task is completed, the deduplication warehouse will automatically record the detected number, and subsequent batches will not deduct fees for the same number.
• Test activity first and then test gender: For cost-sensitive teams, you can first test only Telegram activity (lower unit price), and then test gender from active numbers to reduce invalid detection. But please note that this method will increase the cost of task management.

Common misunderstandings and precautions when using tg 30-year-old data

• **Myth 1: Age can be accurate to a specific age. ** In fact, the age field is the range inferred by the model based on public information (such as 28–32 or “around 30 years old”) and cannot be used as an ID card. When screening, it is recommended to use interval filtering (such as 28-35), rather than a rigid requirement of 30 years old.
• **Myth 2: All numbers can return age. ** If the year of birth is not filled in when the number is registered, or the user’s privacy settings limit public information, a null value will be returned. For numbers with older number segments and earlier registration times, the age return rate may be lower.
• **The task will fail when the balance is insufficient. ** After submitting the task, the system will lock the estimated cost. If the balance is insufficient, it cannot be submitted. It is recommended to leave some extra balance when recharging.
• Anti-fraud reminder: Only look for the official customer service https://t.me/kkdata_robot and official website https://kkdata.cc/. Any third party claiming “internal low price” or “annual discount” is counterfeit.

tg Typical application scenarios of 30-year-old data in overseas customer acquisition

• Telegram community targeted promotion: Promote financial management and paid game content to male users around 30 years old; promote beauty, maternal and infant and other categories to women of the same age group.
• B2B customer screening: If the product is aimed at small and medium-sized entrepreneurs (average age 28-35), you can first use the age field to filter out the target group, and then combine it with position/industry tags for detailed targeting.
• Multi-platform joint screening: Simultaneously detect the age field of Telegram, WhatsApp, Line and other platforms, screen out active users around 30 years old, and conduct cross-platform matrix marketing. For example, after attracting traffic on Telegram, follow up with a private message on WhatsApp.

FAQ

**Q: Is the age field of tg 30-year-old data accurate? **

Answer: The age comes from the public data in Telegram registration information. After analysis by the gender detection model, it is suitable for screening people around 30 years old, but it cannot be accurate to the specific date of birth. It is recommended to conduct a comprehensive evaluation in conjunction with fields such as activity level.

**Q: How many numbers can be submitted for a single test? **

Answer: The maximum number of single tasks is about 1 million. If the quantity exceeds this amount, it can be submitted in batches, and fees will be deducted independently for each batch. At the same time, you can use the deduplication warehouse to avoid repeated detection.

**Q: How to check the real-time unit price of Telegram gender detection? **

Answer: Log in to the console (https://app.kkdata.cc/）创建任务时，平台会根据所选检测类型自动显示预估费用，具体单价以页面展示为准。

**Q: How to export the data containing only the 30-year-old age field after testing? **

Answer: After the task is completed, export the CSV or TXT format in the console, and the result will contain the age field. You can filter age ranges in Excel, or use a script to extract matching records.

**Q: How can data deduplication warehouse save budget? **

Answer: The warehouse will record all detected numbers. When submitting tasks later, the system will automatically skip duplicate numbers to avoid repeated deductions for the same number, thus reducing the total cost.

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👉 Log in to the console https://app.kkdata.cc/ to start estimating your tg 30-year-old data budget and support anonymous recharge of USDT.

If you need help calculating costs or testing data quality, please contact two-way customer service directly https://t.me/kkdata_robot

For more function descriptions, see the usage documentation https://docs.kkdata.cc/ and the official website https://kkdata.cc/ for a billing overview.