How to export US TG male data to CSV/TXT? Field selection, naming conventions and downstream usage guidelines

American Telegram male user data (referred to as American TG male data) is an important resource for overseas marketing teams to conduct precise private message promotion, community recruitment, and market testing. However, after many teams get a batch of numbers, they often don’t know how to efficiently screen out the truly effective American male users, let alone how to export the results to CSV or TXT files for docking with downstream tools. This article will cover data acquisition, screening process, export operations, field meanings, downstream applications, and common pitfalls to completely dismantle a set of implementable “US TG male data export → use” solutions.

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What is US TG male data? What can it be used for?

“US TG male data” refers to the collection of user numbers on the Telegram platform that are determined through testing in the US region, have opened Telegram and gender is male. These data usually also include activity, age range (such as about 30 years old), TGID and other fields. Typical application scenarios include:

• Telegram Private Message Reach: Send product messages to American male users who have been verified and active.
• Community Targeted Newcomers: Filter by gender/age and invite to join specific interest groups (such as currency circles, e-commerce, games).
• U.S. market cold start: Use small batches of U.S. TG male data to test advertising materials, words, and conversion rates.
• A/B test population grouping: Stratify the data by activity or age to compare the effects of different strategies.

Why does the US market need TG male data?

The number of Telegram users in the United States has continued to grow in recent years, especially among young men with higher privacy preferences. Compared with other SNS platforms in Europe and the United States, Telegram’s group mechanism and BOT ecosystem are more suitable for reaching batch users. However, sending the entire address book directly is often inefficient and can easily trigger account bans - filtering out invalid numbers and female users in advance through US TG male data can increase delivery efficiency by 3-5 times.

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How to obtain US TG male data? KK-DATA’s screening process

Taking the KK-DATA platform as an example, obtaining American TG male data requires three steps: number preparation → number screening task → result export**.

1. Prepare number source

• Global Number Generation (free): Select the country as “United States” in the “Number Generation” module of the console to generate a random US number (240+ countries supported). There is no charge for generation, and it is suitable for quickly obtaining test data sets.
• Custom import: Upload existing numbers as CSV/TXT (the format supports no delimiter, comma separation, etc.), one number per line.

2. Submit screening task

Create a new task in Application Console:

• Platform Selection: Telegram
• Detection type: Check ✅ Activate detection (required)✅ Active detection (optional, it is recommended to specify a window such as 7 days)✅ Gender detection (including age field)
• Country/Region Filter: Select “United States” (the console supports filtering by country)
• Number List: upload or import from generation module

3. Task completion & notification

After the task is completed, the system will send a notification through Telegram BOT (https://t.me/kkdata_robot). You can view details in the “Task History” of the console.

4. Export CSV/TXT

Enter the task details page → click “Export” → select the format (CSV or TXT) → confirm that the required fields are checked → download.

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How to export the CSV/TXT file of US TG male data?

Which fields need to be confirmed before exporting?

In the exported field selection interface, KK-DATA will list all available detection result fields for the current task. For US TG male data, it is recommended to check at least the following fields**:

Field name (displayed on the console)	Meaning and purpose
telegram_registered	Whether to activate Telegram (true/false), the first step to filter out valid numbers
telegram_active	Whether active within the specified window (such as within 30 days), filter out zombie accounts
gender	Gender identification results (male/female/unknown), core filtering conditions for this task
age_range	Age range labels (such as “25-34”, “about 30 years old”), used for crowd segmentation
tgid	Telegram user ID, can be used for direct API access
phone_number	Original number (E.164 format), for import by external tools

How to name the exported file? What are the regulatory recommendations?

When working as a team, unified naming conventions can significantly reduce the risk of data confusion. Recommended format:

YYYYMMDD_国家_平台_性别_年龄段_数量.csv

Example: 20250501_USA_TG_male_30_5000.csv

• Date: Guaranteed sequence can be traced back
• Country/Platform/Gender: clear at a glance
• Quantity: Easy for budget checking
• Avoid Chinese special symbols: Some old versions of CRM may not be able to recognize Chinese file names. It is recommended to use English or Pinyin.

If exported to TXT (pure number file), the naming can be simplified to: 20250501_USA_TG_male_30.txt, with one number per line of content.

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How to select and name the fields for exported data? Analysis of common field meanings

When you get a CSV file, each column field usually corresponds to the English naming of the console. Only by understanding the meaning of these fields can we apply them correctly downstream.

• tg_registered: Boolean value. Only numbers in true can receive private messages or join groups.
• tg_active: Boolean value. Depends on the active window you set in the task (e.g. 7 days, 30 days). The shorter the window, the fewer active users but the higher the quality.
• gender: String (male/female/unknown). When used to filter US TG male data, only male is retained.
• age_range: string (such as “25-34”, “35-44”). It has reference value for marketing content matching, but please do not use it as the sole basis for decision-making.
• tgid: Numeric value. Can be used for Telegram Bot’s sendMessage to send messages directly (requires user Chat ID or obtained through interaction). It is often used as an auxiliary field in CSV export to facilitate subsequent deduplication or API calls.
• phone_number: US numbers starting with +1. Usually only this column is retained when exporting TXT.

Field naming suggestions: If you need to import it into the CRM system, you can map the column names exported from the console to internal standards (such as phone, active_flag) to avoid field conflicts.

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How to use the exported US TG male data in downstream marketing?

Data cleaning suggestions

After getting the CSV, first do duplication removal: use [KK-DATA data deduplication warehouse] (https://docs.kkdata.cc/) to remove duplication across tasks to avoid multiple detections of the same number (wasting balance). Secondly, further filter based on the activity window: if you are only doing promotion notifications, select tg_active = true; if you are doing brand accumulation, you can relax appropriately.

Practical application scenarios

1. Telegram private message access: TXT format (number only) can be directly imported into some BOT tools (such as Telegram Bulk Sender). CSV format can be used to import crowd tags.
2. Community Targeted Newcomers: Generate group invitation links manually or through BOT, and send targeted invitations to the filtered American TG male data.
3. Testing in the United States: Use a small amount of data (hundreds of pieces) to test the words and landing page conversions before launching on a large scale.
4. A/B Test: Segment by age (such as 25-30 vs 40-50), send different content respectively, and evaluate the optimal strategy.

How to import CSV/TXT data into Telegram marketing tool?

• TXT file: Most mass sending tools support row-by-row number import, directly select the phone_number column and copy it into plain text.
• CSV file: Some advanced tools support gender/age tag filtering. Before importing, confirm the field names supported by the tool, and use Excel or Python to preprocess if necessary.

Step 1: First export a small sample (such as 100 items) to test the compatibility of the tool. Step 2: After confirming that it is correct, import it in batches (it is recommended that each batch be ≤5000) to avoid triggering Telegram’s anti-spam mechanism.

What are the common pitfalls in data usage?

1. Activity window is too narrow: Setting a 7-day activity window may screen out a very small number of users, resulting in insufficient data volume. It is recommended to choose a 14-30 day window depending on the product type.
2. Age field interpretation bias: Age is only estimated by the model and cannot be used for ID card level verification. If exact age matching is required, please use other data sources.
3. Duplicate deductions caused by failure to remove duplicates: When multiple tasks use the same number library, be sure to use the deduplication warehouse to clean it first, otherwise each number will be repeatedly deducted if it is detected multiple times.
4. The result file was not backed up in time: After the task is completed, it is recommended to download and back it up to local or cloud storage immediately. The console’s history files may be retained for a limited period.

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What are the restrictions or precautions for the American TG male data screening number?

• Single task upper limit: Up to about 1 million numbers can be submitted for detection at one time. If the number is exceeded, it is recommended to submit it in batches.
• Detection time consuming: related to the number of numbers and server concurrency. Generally, the full detection of 1 million Telegram messages (including activation + activity + gender) is completed within a few hours.
• Activity window setting: Supports custom number of days (such as 1-60 days). The shorter the window, the more real-time the data is, but the lower the detection rate.
• Laws and Platform Rules: Be sure to abide by Telegram’s terms of service, and it is prohibited to use it for spam, fraud, harassment, etc. Telegram has frequency limits for batch messages and controls the sending speed reasonably.

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FAQ

**Q: How many pieces of American TG male data can KK-DATA screen at one time? **

Answer: A single number screening task can detect up to about 1 million numbers. It is recommended to submit in batches according to the actual marketing rhythm to facilitate management of results and budget. If the number exceeds 1 million, it can be divided into multiple tasks.

**Q: How accurate is the US TG male data? **

Answer: The platform detects through official/protocol-level interfaces. Telegram activation detection has a high accuracy (nearly 99%); gender detection is based on public data and behavioral models, and the accuracy is usually between 80% and 95% (depending on account segment coverage). The age field can be used for approximate interpretation (such as about 30 years old), but it is not ID card-level accuracy.

**Q: Will charges be deducted for numbers that are filtered out as invalid (without Telegram activation)? **

Answer: Yes. The number screening task will be deducted according to the actual number of detected numbers. Regardless of whether the result is valid or invalid, the fee will be deducted from the balance after the task is completed. Therefore, it is recommended to prepare a potential number set through the global number generation module before submitting the screening number, or combine it with a deduplication warehouse to avoid wasting balances through repeated detection.

**Q: What should I do if the exported CSV file is garbled when opened in Excel? **

A: Try using Excel’s “Data → Import from Text/CSV” and select encoding as UTF-8 (or UTF-16). If you double-click to open it directly, it is recommended to use Notepad to save it as UTF-8 encoding with BOM.

**Q: Is it possible to export only the most active part of American TG men? **

Answer: Yes. When creating a screening task, set the active window (for example, active within 7 days), and then select the gender as male and the country as the United States to obtain highly active male data. When exporting, check tg_active=true for further filtering (if active data has been returned).

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If you need to start the first round of US TG male data screening, please visit [Log in to the console to start screening] (https://app.kkdata.cc/). For any usage issues, please feel free to contact customer service https://t.me/kkdata_robot in both directions for real-time help. For more operating instructions, please refer to Usage Documentation.