TG A complete guide to 30-year-old data export and secondary screening: How to accurately extract target age groups from Telegram screening results

In overseas marketing, Telegram is an important channel to reach C-end users. When you use KK-DATA to complete a round of Telegram screening, you will get a large number of fields such as “ttg activated” and “ttg active”, but what really makes the data valuable is the age dimension - often referred to as tg 30-year-old data. This article teaches you step by step how to export the filter results containing the age field, and perform secondary screening in Excel or Google Sheets to accurately extract people aged 25–35 to achieve low-cost customer acquisition.

What is tg 30 year old data? Where does it come from?

tg 30-year-old data is not an independent product or feature, but a field output by KK-DATA’s Telegram Gender Detection option - Age. When you submit the screening task and check “Gender Detection”, the platform will analyze the user’s public information (such as nickname, avatar, personal profile) to infer the gender and age range. Therefore, 30 years old is just one of the common values, and values ​​such as 25, 30, 35, etc. may actually be output.

Relationship between age field and gender detection

The gender detection task returns both main fields:

• gender：Male/Female/Unknown
• age: Integer (such as 28, 32, 40, etc.)

These two fields are bound in the same detection option, and it is impossible to obtain only gender without age. So when setting up the task, just make sure to check “Gender Detection” to get the age data at the same time.

Accuracy instructions and usage suggestions

How to export tg filter results containing age field?

To get the CSV/TXT with age, you must follow the correct steps. The following takes the KK-DATA console as an example.

Step 1: Create a screening task and check gender detection

1. Log in to KK-DATA Console.
2. Select the “Telegram Filter” task type.
3. In the “Detection Type” area, check Gender (or “Gender Test”). Note: Different versions of the interface may be marked as “Gender + Age”, just check them uniformly.
4. Import the number (you can generate it from the Global Number Generation module or upload it yourself) and confirm the estimated deduction.
5. Submit the task and wait for completion.

If you omit to check gender detection, the age column will not appear in the task results. Submitted tasks cannot be filled in and need to be re-created.

Step 2: Export the file with age field after the task is completed

After the task status changes to “Completed”:

1. Enter the task details page.
2. Click the “Export” button and select CSV or TXT format.
3. In the export configuration, make sure all required fields are checked, especially the age column (usually included by default).
4. Download the file locally.

How to perform secondary filtering on tg 30-year-old data in Excel or Google Sheets?

The original CSV may have a lot of non-target age range numbers mixed in, and you need to quickly extract the 25–35 year olds (or more narrowly around 30). Both of the following tools can be done efficiently.

Use Excel’s numerical filtering function

1. Open CSV: Just open it directly in Excel (note that the encoding is UTF-8 to prevent garbled characters).
2. Make sure the age column is in numeric format: If the age column is displayed as text (for example, there is a green triangle in the upper left corner), select the column → Data → Column → Complete directly and it will be automatically converted to numbers.
3. Apply Filter:
   • Select the header row and click the “Filter” button (or Ctrl+Shift+L).
   • Click the filter arrow of the age column → Numeric filter → Between.
   • Enter minimum value 25, maximum value 35, OK.
4. Copy filter results: Select the filtered rows, copy and paste them to a new worksheet to avoid destroying the original data.

Using the FILTER formula from Google Sheets

If you want the formula to update dynamically, it is recommended to use FILTER:

=FILTER(A:Z, C:C >= 25, C:C <= 35)

Assuming the age column is in column C, this formula extracts all rows that satisfy the condition. Results can be exported to CSV or copied directly to a new tab.

Common mistakes and avoidance methods of secondary screening after exporting

Common Errors	Manifestations	Correction Methods
Forgot to check gender detection	Exported CSV missing age columns	Recreate task and check gender detection
The age column is in text format	Numeric comparison cannot be used when filtering	Use Excel column or “replace” function to convert to numbers
Mistakenly filtering non-numeric fields	Filter conditions are applied to blank or wrong columns	Confirm the column name, it is best to directly select the entire age column with the mouse
Merged cell interference	Some rows are not displayed after filtering	Cancel all merged cells, or convert data to table format
Wrong export format selection	Field misalignment or encoding issues	Select CSV uniformly and specify UTF-8 when importing into Excel

How to use the numbers after secondary screening to acquire customers overseas?

After extracting TG active users aged 25–35, you can:

• Private message promotion: Combined with TG sending strategies (such as private messages after joining the group), send product introductions or event links.
• Group Invitation: Invite to your own community in batches for in-depth development and operation.
• Cross-platform reach: Export the filtered numbers and conduct a secondary activation test in KK-DATA’s WhatsApp Screen Number or Line Screen Number task to achieve multi-channel coverage.

Note: Telegram has strict restrictions on group posting. It is recommended to control the frequency of sending and use multiple accounts to rotate to avoid account bans. The age data is for reference only, and the final conversion depends on the match between the content and the user.

How to check if your filter task contains tg 30 age data?

You can quickly check yourself according to the following checklist:

• Is the “Gender Detection” option checked when creating the task?
• Is the “age” or “age” statistics displayed on the console task details page?
• Does the header column of the exported file contain age, 年龄 or similar fields?
• Randomly check several rows of data. Is the age value an integer between 0–100 (or empty)?

If “yes” to all of the above, the data is available. If a step is “No”, please go back to the task creation step and try again.

FAQ

**Q: What does tg’s 30-year-old data refer to? ** Answer: It refers to the age field output by KK-DATA after analyzing Telegram user information through the gender detection function. About 30 years old is a common range. This data can only be used for crowd trend analysis and cannot be used as identification.

**Q: Why is the age column empty after exporting? ** Answer: It may be because the “Gender Detection” option was not checked in the number screening task, or some numbers did not produce age results during the detection process. Please re-create the task and confirm the checkmark.

**Q: What should I do if the age value is in text format during secondary screening? ** Answer: In Excel, select the age column → Data → Sort into columns → Complete directly (or remove non-numeric characters through “Replace”), convert to numeric format and then filter.

**Q: Can tg 30-year-old data be combined with other platforms for screening? ** Answer: Yes. KK-DATA supports cross-platform filtering of numbers. You can first filter out people around 30 years old in Telegram, and then export the numbers to WhatsApp or Line tasks for secondary activation testing to achieve cross-channel reach.

**Q: How accurate is the age field? ** Answer: The age is based on the user’s public information (such as personal profile, avatar, nickname) and algorithm inference, and is not an exact value. Recommended for group stratification rather than individual user targeting.

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Mastering the export and secondary screening of tg 30-year-old data can make your user portraits clearer and your delivery more accurate. Log in to the console immediately to start screening numbers, or contact official customer service for personalized guidance.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot More documentation: https://docs.kkdata.cc/