KK-DATA WhatsApp Male Data Detection Tutorial: Complete Steps to Batch Filter Active Male Users

In overseas marketing and community management, precisely filtering out male users on the WhatsApp platform is key to improving private message conversion rates and reducing spam complaint rates. Many e-commerce teams (male-focused brands, apparel, 3C products) or paid community operators need a set of “WS male data” as their target audience. However, WhatsApp itself does not provide user gender attributes, and the common approach is to detect through third-party platforms. This tutorial will guide you step by step through using the KK-DATA console, combined with Telegram gender detection functionality, to indirectly perform WS male data detection, from number preparation to result export.

What is WS Male Data Detection? Why Is It Crucial for Overseas Customer Acquisition?

“WS male data” refers to a list of active mobile numbers on WhatsApp that have been verified as belonging to male users. Unlike simple “valid WhatsApp numbers,” it adds the dimension of gender tags for filtering — allowing you to directly target user groups more likely to purchase male products or join male communities, rather than blindly mass sending messages.

Common Application Scenarios

• Cross-border e-commerce male categories: Products such as men’s watches, razors, fitness supplements, etc. Sending to female users often causes aversion and complaints. Male data can significantly increase click-through and order rates.
• Male community operations: Game guilds, cryptocurrency investor groups, professional networking groups, etc., require recruiting male members to maintain topic consistency and activity.
• Paid invitation scenarios: Certain paid content or events targeting male users require precise filtering.
• A/B testing comparisons: Sending different copy to male and female users at the same time to observe conversion differences. Male data is essential as a control group.

Difference Between Direct and Indirect Detection

Currently, the KK-DATA platform does not directly provide WhatsApp user gender detection functionality, but an efficient indirect method is available: first perform WhatsApp validity detection on target numbers, then submit the number pool to a Telegram screening task, using Telegram’s avatar recognition model to return gender labels. Why does this work? A large number of overseas users register with the same mobile phone number on both WhatsApp and Telegram, especially in Southeast Asia, the Middle East, and Latin America. If a number is active on both platforms, Telegram’s gender detection (based on avatar recognition: male avatar→male, female avatar→female, no avatar/not recognizable→unknown) can indirectly infer its user profile on WhatsApp.

Note: This method applies only to numbers that also have Telegram activated. If a number only has WhatsApp, the gender label cannot be obtained, but you can first filter out “dual-active” users through bulk screening. We’ll explain how to combine these steps later.

Preparation — What Materials and Conditions Do You Need?

Before starting bulk WS male data detection, ensure you have the following three things ready:

Source of Number List

You can obtain the numbers to be detected in three ways:

• Manual import from CSV/TXT: Directly import from CRM, exported lists, or web scraping results. Format: one number per line (e.g., 8613800138000).
• Global number generator: KK-DATA has a built-in random number generator for 240+ countries/regions, completely free. After generating, you can directly submit for screening. Recommended for initial target markets (e.g., Indonesia, Brazil, Nigeria) — generate a certain amount, deduplicate, then screen.
• Existing CSV file: Supports with or without headers. The corresponding column name should be phone.

Register KK-DATA and Recharge USDT

Register an account at https://app.kkdata.cc/ (use email). Recharge using USDT (TRC20), minimum about 50 USDT (approximately ¥350 RMB). After crediting, the balance is deducted per detection count. No monthly subscription — pay per use. Exact unit prices are shown in the console in real-time, and estimated fees appear before submitting a task.

Master Basic Console Operations

Familiarize yourself with these key menus:

• “Number Generation”: Generate number lists
• “Number Screening”: Submit screening tasks (select platform, detection type)
• “Data Warehouse”: View deduplication records and task results
• “Recharge Center”: USDT recharge

It’s recommended to first run a small test (e.g., 100 numbers) to verify the process before batch execution.

Detailed Steps: From Number Preparation to Male Data Export

Below we take “starting from global number generation and finally obtaining a set of valid WhatsApp numbers with male tags” as an example, providing complete steps.

Step 1: Generate or Import Numbers

On the console’s “Number Generation” page, select a target country (e.g., India 91, Indonesia 62, Brazil 55, etc.), set the number length and quantity (recommend not exceeding 100,000 at a time). Click “Generate” → automatically saved to the warehouse. Alternatively, you can directly upload a CSV file (format: one number per line).

Step 2: First Perform WhatsApp Validity Detection

Go to “Number Screening” → Create a new task, select the platform WhatsApp, and check the detection type Valid Number Detection. Import the number list from the previous step (supports selecting from warehouse). After submitting the task, the system automatically deducts the estimated fee (settled by actual count after completion). Within minutes to tens of minutes (depending on the number of numbers), the task completes. You can export the valid numbers CSV (each row includes the original number and wsid) from the results.

Step 3: Perform Telegram Gender Detection on Valid Numbers

Create a new screening task, select the platform Telegram, and check the detection type Activity + Gender Detection (Note: gender detection is based on avatar recognition; the task description will indicate this). It is recommended to also check Activation Detection to filter out numbers not registered on Telegram. Directly import the valid numbers exported from Step 2.

If you’re concerned about wasting balance on duplicate detections, you can first run a deduplication module in the “Data Warehouse” before importing.

Step 4: Filter Male Users

After the task completes, each number in the results will have a gender label (male / female / unknown). Use a CSV filter or Excel to select rows where gender = male. This is your desired WS male data. Export as CSV or TXT, save it, and use it for private message campaigns.

Optional Optimization: Use Data Warehouse Deduplication to Reduce Repeat Costs

If you need to regularly update gender statuses for the same batch of numbers, use the “Data Warehouse” deduplication feature before each submission. The system will automatically mark already-detected numbers, so you only pay for new or undetected numbers. Long-term operation can save 30%–50% of detection costs.

Billing and Cost Optimization Suggestions

KK-DATA charges per number, no subscription. Different detection types have different unit prices. See the console page or https://kkdata.cc/billing/ for details. Taking 100,000 numbers as an example:

Detection Phase	Estimated Fee (subject to actual price)	Description
WhatsApp Validity	X yuan/number (see console)	Filters out invalid numbers
Telegram Gender	Y yuan/number (see console)	Detects gender among valid numbers
Deduplication	Free	Automatically skips already detected numbers across tasks

Cost-saving tips:

• Only use gender detection for large number pools; for small batches, you can manually sample and judge.
• Prioritize gender filtering for high-conversion regions rather than full market coverage.
• Use the “generate → deduplicate → screen” pipeline to avoid repeat charges for already-detected numbers.

Frequently Asked Questions

Q: Why can’t I directly check the gender detection option in WhatsApp screening tasks?

A: Currently, KK-DATA’s WhatsApp screening module only supports validity detection and wsid export; it does not include gender recognition. This is because gender recognition relies on user avatars, and WhatsApp avatar data is not publicly accessible in bulk. Telegram supports this due to its open API and avatar recognition algorithms. Therefore, gender labels are obtained indirectly through Telegram screening, effective only when the number also has Telegram activated.

Q: If a number only has WhatsApp but not Telegram, can I still get its gender?

A: No. Such numbers will show as “not activated” in Telegram screening results with no gender returned. You can either ignore these numbers or only use numbers that are “dual-active” (both WhatsApp valid and Telegram male-tagged) as your male data. These users typically have higher quality and activity.

Q: Do I need to recharge USDT for each detection? What is the minimum recharge amount?

A: Yes. The minimum recharge amount is about 50 USDT (TRC20). If you only want to test a few thousand numbers, you can start with a small recharge (50 USDT can detect several thousand to tens of thousands of numbers, depending on unit price). See the official billing page for example calculations.

Q: How accurate is gender detection?

A: Avatar-based gender recognition generally has an accuracy of 85%–95% (depending on avatar clarity and the model). It’s accurate for front-facing portrait photos; landscapes, animals, cartoons, or group photos may return unknown. It’s recommended to combine with other clues (e.g., username, group behavior) for cross-validation.

Q: I already have hundreds of thousands of WhatsApp numbers. How do I batch perform male data detection?

A: You can directly import your CSV file into the console. First perform WhatsApp validity detection, then submit the valid numbers in batches (each batch ≤ 1 million) for Telegram gender detection. Use the data warehouse deduplication feature to avoid double-charging. After tasks complete, export CSV with a gender column. For further inquiries about batch operations, contact customer service via https://t.me/kkdata_robot.

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Through the four steps above, you have learned how to use KK-DATA’s combined features to batch filter valid WhatsApp users with male labels starting from scratch. This “indirect detection” approach is very practical in overseas customer acquisition: it allows you to precisely target your audience even without direct data sources, while controlling detection costs.

Try it now —
👉 Log in to the console to start screening
For any questions or batch optimization advice, contact customer service anytime via https://t.me/kkdata_robot.
For more detailed documentation, refer to https://docs.kkdata.cc/.