New Tool for TG Number Screening: KK-DATA Gender Export Field Format & Usage Guide

In overseas customer acquisition and community management, precisely screening target users is key to boosting conversion rates. For Telegram operators, gender data is a frequently overlooked yet highly valuable dimension. By analyzing user avatars to identify gender, you can quickly differentiate potential customer groups and develop tailored promotion strategies for different products (e.g., beauty, tech, finance).

KK-DATA provides a TG Gender Export Field feature, allowing you to obtain core data such as user gender, Tgid, registration status, etc., in batch screening tasks. This article will dive into the format, usage scenarios, and how to combine these fields with others to achieve refined operations, helping you maximize the value of each screening investment.

Understanding TG Gender Export Fields: What Are Gender Data and Core Fields

TG gender export fields refer to the gender information identified by KK-DATA’s AI model based on users’ public avatars after completing Telegram number screening. These fields are presented as structured data (CSV or TXT), allowing you to instantly determine the gender attribute of each number’s corresponding user.

Technical Principle of Gender Detection: How Avatar Recognition Determines Gender

KK-DATA’s gender detection technology is based on a deep learning model that analyzes visual features of users’ Telegram avatars (such as facial contours, clothing style, hairstyle, etc.) to determine gender. The model has been trained on a large amount of labeled data and can distinguish between “Male,” “Female,” or “Unknown.”

Key Points:

• Based on Public Data: Only analyzes users’ public avatars; does not access or store user privacy information.
• Not 100% Accurate: Due to missing avatars, blurry images, non-human avatars (e.g., logos, landscapes), or ambiguous gender traits, results may contain errors.
• Decision Support: Gender data should be used as a reference for operational decisions, not as the sole basis.

Core Fields Overview: Gender, Tgid, Registration Status, etc.

In a typical TG screening task, your exported data may include the following core fields. Together, they outline a basic user profile.

Field Name	Data Type	Possible Values	Meaning & Use
Phone Number	String	+8613812345678	Original number input for screening, serves as unique identifier.
Gender	Text	Male / Female / Unknown	Gender result identified by AI based on avatar.
Tgid	Number	1234567890	Telegram’s unique numeric ID for the user, used for precise targeting.
Registration Status	Boolean	true / false	Whether the number has registered Telegram. true means registered.
Activity Status	Text	Within 7 days / Within 30 days / Long inactive	User’s last online activity time; more valuable when combined with gender filtering.
Avatar URL	URL	https://t.me/i/userpic/…	Original avatar URL for verifying gender judgment (optional export).

TG Export Format Options: CSV vs TXT and Application Scenarios

KK-DATA supports both CSV and TXT export formats. Each has its pros and cons; your choice depends on your subsequent data processing workflow.

CSV Format: The Preferred Choice for Structured Data

The CSV table format clearly shows the relationship between each field and can be directly read by Excel, databases, and data analysis tools.

Applicable Scenarios:

• Need in-depth data analysis (e.g., calculating male/female ratio, activity distribution).
• Need to import data into CRM, marketing automation systems for precise segmentation and follow-up.
• Large data volume (over 10,000 records) where CSV’s column-based structure is more suitable for programmatic processing.

TXT Format: Lightweight and Fast, One-Click Import

TXT plain text format contains only one number or Tgid per line, with a small file size and simple parsing.

Applicable Scenarios:

• Need only a simple list of numbers or Tgids for quick import into bulk messaging tools or bots.
• Small data volume (hundreds to thousands of records) without complex filtering or analysis.
• Temporary testing or quick verification of a batch of numbers.

Comparison Summary:

Feature	CSV Format	TXT Format
Data Completeness	High, includes all fields	Low, contains only single data
Readability	Good, easy to view in spreadsheet software	Fair, suitable for program reading
Subsequent Processing	Convenient for importing into DB, CRM	Suitable for quick import into messaging tools
Batch Operation Efficiency	High, supports intelligent column splitting	Simple and direct, no parsing needed
Recommended Scenarios	Data analysis / integration / large-scale screening	Quick import / simple verification

Practical Guide: How to Use Gender Fields to Optimize Community Management and Customer Acquisition

Once you master the gender field, you can start refined operations. Here are some specific application scenarios to help you improve acquisition efficiency.

1. Targeted Push to Increase Conversion Rates

   • Scenario: If your product is beauty and skincare, prioritize filtering users with Gender=“Female” and push exclusive offers or tutorial content. Conversely, for e-cigarettes or gaming peripherals, prioritize male users.
   • Operation: When creating a screening task, select TG screening and check “Gender Detection.” After the task completes, export a CSV file, filter “Gender” column for “Female” users, and send targeted DMs or invite them to groups.

2. Screen “High-Value” Users to Avoid Spam

   • Scenario: Combine the Activity Status field to filter users who have been online within the last 30 days. These are active users with higher acceptance and engagement with community content.
   • Operation: In the screening task, enable both “TG Activity Detection” and “Gender Detection.” Then export CSV, filter for users with “Activity Status” = “Within 30 days” and “Gender” as desired. This significantly boosts your DM reply rate.

3. Optimize Community Content Strategy

   • Scenario: Import an existing community member list and perform gender analysis. If you find that female users account for over 60% of the community, you can adjust content direction toward lifestyle, emotions, or beauty.
   • Operation: Upload the number list to KK-DATA, select “TG Screening,” do not check other detections, only check “Gender.” After the task completes, view the overall gender ratio to provide data support for content production.

Common Misunderstandings: Is the Gender Field Absolutely Accurate?

Not absolutely. In exported data, you may see “Unknown” gender or misjudgments. This is common under current technology. A few common pitfalls:

• Missing Avatar: Over 30% of users may not set an avatar; the result will be “Unknown.”
• Non-Human Avatars: Many channels, bots, or marketing accounts use logos or landscapes as avatars; AI cannot determine gender.
• AI Misjudgment: When facial features are not obvious or photos are androgynous, AI may misjudge.
• Information Lag: Users may have recently changed avatars, but the detection might use old cached data.

Correct Approach: Do not rely 100% on the gender field. Treat it as a probability label and combine it with other dimensions (e.g., registration status, activity status, even nickname keywords) for comprehensive judgment to improve final screening accuracy.

Advanced Tip: How to Integrate TG Export Fields with CRM or Marketing Systems

When screening data reaches tens of thousands or even millions of records, manual processing becomes impractical. You need to automate data import into your business systems.

Step 1: Standardized Export In the KK-DATA console, select CSV format export and ensure the field order matches your subsequent tools. It is recommended to fix the export field order, e.g., Phone Number, Tgid, Gender, Activity Status.

Step 2: Write Import Script Write a simple script using Python, PHP, or Node.js to read the CSV file and convert each row into a database record or API request parameters.

Step 3: Deduplication Before importing, use KK-DATA’s “Data Dedup Warehouse” feature, or check in the script whether the Tgid already exists in the CRM, to avoid duplicate imports causing data redundancy and repeated outreach.

Step 4: Trigger Automated Workflows Tag imported CRM data (e.g., “Female-High Activity”), then set automation rules: when a new user is assigned a specific tag, automatically trigger a Telegram Bot to send a welcome message or invite to the corresponding product community.

Core Advantages of KK-DATA Gender Detection Technology

Among many screening tools, KK-DATA’s gender detection module stands out with the following highlights:

1. No Subscription, Pay-as-You-Go: No need to purchase expensive membership plans. You pay only for the data you need. Estimated costs are visible before each task submission; costs are fully controllable. See the pricing page for unit price.
2. End-to-End Integration: From [Number Generation] → [Cross-Platform Screening] → [Gender/Activity Detection] → [Data Dedup] → [Multi-format Export], all operations are completed within one console.
3. Flexible Export: Supports CSV and TXT formats. CSV has clear structure for programmatic processing; TXT is lightweight and fast for quick imports.
4. Data Privacy and Security: Uses anonymous top-up (USDT), does not collect user avatar content. All detections are based on public information.

Frequently Asked Questions

Q: What does the TG gender export field include? A: It mainly includes “Gender” (Male/Female/Unknown), “Tgid” (Telegram numeric ID), “Registration Status” (true/false), “Activity Status” (calculated by day/week/month), etc. See the export configuration page in the console for specific fields.

Q: Is the gender field in the exported CSV in Chinese or English? A: Default output is “男/女/未知” in Chinese; if you need English “male/female/unknown”, please contact customer service @kkdata_cc for customization before export.

Q: Is there a way to improve gender detection accuracy? A: 100% accuracy cannot be guaranteed, but you can combine the “Activity Status” field (e.g., online within the last 30 days) to filter out zombie accounts, and use “Avatar Recognition” technology to reduce misjudgment; KK-DATA updates its recognition model regularly.

Q: Can the exported data be directly imported into Telegram bulk messaging tools? A: Exporting the “Tgid” field in TXT format can be quickly imported into most bulk messaging tools (e.g., Telegram Bot, third-party messaging systems); if you need CSV, some tools also support CSV import.

Q: How to avoid duplicate detection after exporting data? A: KK-DATA provides a “Data Dedup Warehouse” feature that automatically deduplicates across tasks; when exporting, use “Tgid” or “Phone Number” as the unique identifier to avoid wasting top-up funds.

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Ready to start your precise acquisition journey? Log in to the App Console now to experience TG gender screening, or join our Official Channel for more practical tips. For customized exports or large-volume top-ups, feel free to contact @kkdata_cc.