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How to obtain tg 30-year-old data? A complete tutorial on Telegram crowd screening behind Google/Bing search

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How to obtain tg 30-year-old data? A complete tutorial on Telegram crowd screening behind Google/Bing search

When you search for “tg 30-year-old data” on Google or Bing, you are actually trying to find active users on Telegram who are around 30 years old for marketing, community operations, or cross-border e-commerce promotion. This type of data is not the exact age provided by the official ID card, but an approximation based on the user’s public information or an AI model - you can understand it as “about 30 years old” people. This article will fully explain how to use the KK-DATA platform to batch screen out high-quality tg 30-year-old data from definitions, scenarios, practical steps to pitfall avoidance guidelines, and export it to a usable format.


What is “tg 30-year-old data”? What are Google/Bing users searching for?

“tg 30-year-old data” essentially refers to: using the Telegram screening tool to identify account information from a large number of mobile phone numbers that are registered with Telegram, active, and the user profile shows or infers that the age is around 30 years old. It is not looked up from the ID card database, but relies on the age field in Telegram’s gender detection (such as the “28–35 years old” range) to approximate positioning.

Many overseas marketers search for this keyword on Google or Bing, and the reason behind it is the same pain point: they want to use low-cost channels to reach people around the age of 30 with spending power**. Telegram’s openness and notification mechanism make this channel feasible, but only if high-quality target numbers can be obtained.

Common usage scenarios of “tg 30-year-old data”

  • Cross-border e-commerce paid promotion: Targeting the purchasing power of 30-year-old users (home, maternal and infant, smart devices, etc.), deliver preferential information through Telegram private messages or groups.
  • Independent website private domain drainage: Guide potential customers around 30 years old to independent websites to establish long-term customer relationships.
  • Age-specific community operations: For example, the “30-year-old women’s life guide” category group requires a large number of members who meet the age profile.

Why is this type of search volume increasing on Google/Bing?

  • Competition to acquire customers overseas is fierce: The cost of traditional paid advertising has soared, and Telegram has become a traffic depression.
  • 30-year-olds are in the golden age of consumption: they have stable incomes, mature consumption decisions, and are active on instant messaging tools such as Telegram.
  • Mature screening tools: In the past, manual verification of numbers was almost impossible, but now platforms like KK-DATA realize batch automated screening.

How to filter “tg 30-year-old data” through KK-DATA? Step-by-step guide

The following is the complete operation process. From registration to exporting data, each step can be completed directly in the console.

Step 1: Register an account and top up balance

  1. Visit KK-DATA official website and click on the upper right corner to register (email registration is supported).
  2. Log in to [Application Console] after successful registration (https://app.kkdata.cc/).
  3. Click “Recharge” and use USDT (TRC20) to recharge, with a minimum of about 50 USDT. The balance is automatically updated after the account is received, and can be used for the task of deducting fees on a per-item basis.

Note: KK-DATA does not have a package subscription, and is completely billed based on the number of tests, and you pay for what you use. Please refer to the real-time price of the console for the specific unit price.

Step 2: Prepare the list of numbers to be screened (generate or import)

You can either generate a number on KK-DATA or upload your own number file.

  • Global Number Generation (free): Select the target country in the “Number Generation” module (240+ countries/regions are optional), enter the quantity, and the system will generate a number in a valid format according to the number segment rules. The generated numbers can be imported into the screening task with one click.
  • Custom import: If you already have a customer phone list, you can upload a CSV or TXT file. Note that the format is international area code + number (example: 8613800138000).

Step 3: Create a Telegram screening task and set age and gender conditions

This is the most critical step, which determines whether you can get data on people aged about 30 years old.

  1. Enter the console “Screen Task” → click “Create New Task”.
  2. Select platform Telegram.
  3. Check at least the following detection types:
    • tg activation (check whether the number is registered with Telegram)
    • tg active (it is recommended to choose “active within 30 days” or customize the window)
    • tg Gender (after turning it on, you can get fields such as gender, age range, avatar, etc.)
  4. In the advanced filtering of gender detection, find the Age Range setting. For example, by filling in “28–35”, you can target people around 30 years old. If you need to specify gender at the same time, you can also select “Male” or “Female”.
  5. After confirming the task settings, the system will display the estimated deduction amount. Click “Submit Task” to start filtering.
  6. After the task is completed, you will see the results in the console, and you can also set up Telegram notifications (receive completion reminders through @kkdata_robot).

Age ≠ ID card age

The age field in KK-DATA’s tg gender detection comes from Telegram user public information or AI model inference. The results are for reference only and cannot be used as a 100% accurate ID card age. Please consider this as a reliable reference for “about 30 years old” rather than an absolute figure.

Step 4: Export filter results and apply

After the task is completed, click “Export”. Support CSV, TXT format. Exported fields typically include:

-Mobile phone number

  • tg activation status (activated/not activated)
  • Activity (recent active time)
  • Gender (male/female/unknown)
  • Age range (28–35 etc.)
  • tgid (Telegram internal ID, can be used for subsequent group additions or message access)

Import this data into your marketing system and you can start precise targeting.


When searching for “tg 30-year-old data” on Google/Bing, the three most common pitfalls for beginners are

Many novices tend to make these mistakes when screening numbers for the first time, resulting in poor results in spending money.

Pitfall 1: Treat the age field as the official age

When I see “30 years old” in the results, I think the accuracy is 100%. In fact, this is an inferred value and may be off by a few years. How ​​to get around it: Avoid using precise phrases like “your 30th birthday” in your marketing materials, leaving room for leeway.

Pit 2: Only screen for activation, not active screen

You may have screened out 100,000 numbers that have opened Telegram, but half of them are people who have not been online for months or even a year. The messages sent by these “zombie accounts” are in vain. Avoidance method: The “tg active” detection must be turned on at the same time. It is recommended to select “Active within the past 30 days”.

Pit 3: Not enabling deduplication, repeated deductions

If the same number is detected repeatedly in different tasks, KK-DATA will be charged twice. Avoidance method: Turn on the “Data Deduplication Warehouse” function when submitting a task. The system will compare the numbers in historical tasks and automatically skip duplicates. It is also recommended to use this function first to save your balance.


How to verify the quality of the “tg 30-year-old data” you obtained?

After the screening is completed, do not send in large batches immediately, do a small-scale verification first.

  • Sampling check: Randomly select 100-200 tgids from the exported results, and send a message to these numbers manually (such as through Bot or your own account) to see if it can be delivered normally and get a reply.
  • Activity statistics: Check the distribution of the “recently active” field in the results. If most of them are concentrated in “within 7 days”, it means the quality is good; if a large number are “more than 30 days”, you may need to lower the active window.
  • Gender Distribution: If you specify male/female, check whether the gender field in the exported data is consistent with expectations. If the deviation is too large, there may be a problem with the number source or age range settings.

Data validation tips

It is recommended to extract 100-200 samples to manually verify the tg account status to ensure the validity of the exported data. At the same time, KK-DATA’s data deduplication warehouse function is used to avoid wasting balances through repeated detection.


In addition to Telegram, can the “30-year-old people” data from other platforms be screened together?

KK-DATA not only supports Telegram screening, but also supports screening on multiple platforms such as WhatsApp, Line, Zalo, iMessage, RCS, Facebook, Instagram, Binance, and LinkedIn. However, the age field availability differs on different platforms:

  • Telegram, Line: Provide relatively mature gender/age detection, which can be used to target people around 30 years old.
  • WhatsApp: Mainly detects activation and activity, gender/age fields may be limited depending on region and data source.
  • Zalo (commonly used in Vietnam and Southeast Asia): The detection includes gender, but the age field must be based on the actual output of the console.

If you want to do cross-platform joint screening (for example, filter out users around 30 years old on Telegram and WhatsApp at the same time), you can create tasks separately, and then merge and export the results. But be sure to refer to the console live field list as platform policies and data sources change dynamically.


To the end: A checklist for effective customer acquisition for “tg 30-year-old data”

Before you proceed, use this checklist to make sure you don’t miss key steps:

  • Clarify the target country and age group (for example: Indonesia, 28-35 years old)
  • Prepare enough numbers (recommended at least 50,000 as seeds)
  • Enable activation, activity, and gender detection at the same time in the number screening task
  • Active window set to “Last 30 days” or less
  • Age range setting (such as 28-35), gender optional targeting
  • Enable data deduplication warehouse to avoid repeated payments
  • After the task is completed, 100 items will be randomly inspected to verify the quality.
  • Export to CSV format, the field contains tgid (for direct @reach)
  • Comply with the Telegram usage agreement and control the frequency of private messages (recommended ≤100 messages/account per day, use multiple accounts for rotation)
  • Ensure content compliance: avoid spam, fraudulent content, and inducing links

FAQ

Question: Is the tg 30-year-old data accurate to the age on the ID card?

Answer: No. The age field in KK-DATA’s Telegram gender detection results is an approximation based on the user’s public information or inference from the AI ​​model. It can be used to screen people “about 30 years old”, but it cannot be guaranteed to be completely consistent with the real age.

Question: How much does it cost to screen tg 30-year-old data on KK-DATA?

Answer: The unit price varies depending on the detection type (activated, active, gender) and platform. There is no subscription package and it is billed on a per-item basis. The console displays estimated costs when creating a task. Please refer to the real-time price of the console for specific prices.

Question: Can I filter only the “tg 30-year-old male” data?

Answer: Yes. When creating a Telegram screening task, select the “tg gender” detection, and set both the gender to “male” and the age range (such as 28-35 years old) in the advanced filtering to filter male users around 30 years old.

Question: Will the numbers after screening be repeated? Will the balance be wasted?

Answer: KK-DATA provides a data deduplication warehouse function. You can check “Enable deduplication” when submitting a task. The system will automatically compare the numbers in historical tasks to avoid repeated detection and deduction.

Question: Is the generated global number real? Can it be used as a filter source?

Answer: The global number generation function produces valid format numbers that comply with the number segment rules of each country, and is not a real registered user. These numbers can be used as “seeds” to screen numbers to detect which numbers have subscribed to Telegram. The generation itself is free, and there is a fee for screening.


If you are looking for target users around 30 years old on Telegram for marketing or community operations, you can log in to the KK-DATA console now to start your first screening.

👉Log in to the console to start screening numbers If you need operational guidance, please contact customer service via two-way t.me/kkdata_robot for real-time help.
For in-depth usage documentation, see: https://docs.kkdata.cc/

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