KK-DATA WS Gender Detection Tutorial: Full Guide to Console Batch Operations & Result Export

In overseas customer acquisition and community operations, precisely reaching target users is key to improving conversion rates. As one of the most widely used instant messaging tools globally, WhatsApp (WS) has a huge user base, but the quality of numbers varies. WS Gender Detection helps operation teams filter active users of a specific gender from batch numbers, avoiding spam or resource waste. This tutorial will guide you step by step through the entire process from task creation to result export using the KK-DATA console, covering gender filtering, data deduplication, and per-item pricing, so you can quickly get started with batch detection.

---

What is WS Gender Detection and What Is It Used For?

WS Gender Detection refers to analyzing public information such as WhatsApp account avatars and nicknames, using an AI model to infer the gender (male, female, or unknown) of the corresponding user. This feature is highly useful in the following scenarios:

• Precision marketing: Push beauty and maternity products to female users, and digital and gaming content to male users.
• Community stratified operations: Invite users of different genders into different themed communities to boost activity and retention.
• A/B testing: Group users by gender for ad or message campaigns, compare results to optimize strategies.
• Excluding invalid targets: Skip numbers with unclear avatars or non-personal accounts (e.g., business accounts, default avatars) to reduce unnecessary disturbance.

Differences Between WS Gender Detection and Telegram Gender Detection

Dimension	WS Gender Detection (KK-DATA)	Telegram Gender Detection (KK-DATA)
Data source	WhatsApp avatar, nickname, etc. public info	Telegram avatar, nickname, and username
Detection result	Male / Female / Unknown	Male / Female / Unknown
Typical applications	Cross-border e-commerce DMs, community invitations	TG group member addition, DM promotion
Additional features	Can also detect registration/active status	Can also detect activity (7/15/30 days)

Both detection logics are similar, but due to different platform user profiles, we recommend choosing the detection type that matches your target market.

Who Needs WS Gender Filtering?

• Cross-border e-commerce operators: Need to push promotional information targeted by gender.
• Independent site promotion teams: When driving traffic via WhatsApp DMs, want to avoid negative feedback from misjudged gender.
• Telegram/WhatsApp community operators: Need to filter users by gender to build precise groups.
• Data service providers: Provide clients with gender-annotated number lists to increase data value.

---

Preparation: What to Do Before Starting in the Console?

Before creating a WS Gender Detection task, ensure you complete the following three steps.

Register and Log In to the KK-DATA Console

Visit https://app.kkdata.cc/ to register a business or personal account. It is recommended to use a frequently used email, as task notifications will be sent to this email. After logging in, you will enter the main dashboard.

Top Up Balance and Check Real-Time Pricing

KK-DATA uses a per-item billing model with no subscription plans. You need to top up your balance before submitting tasks.

1. Click Balance Top-Up in the left menu of the console.
2. Choose a top-up method (supports USDT TRC20, minimum approx. 50 USDT).
3. After the top-up arrives, your balance will update in real time.
4. The unit price for each detection type can be viewed in the Number Screening module on the task configuration page, or check the Billing Page for an overview.

Prepare the Number List: Format and Notes

• Number format: Recommended to use international format, e.g., +8613800138000 or 8613800138000. Avoid spaces, dashes, or special characters other than the country code.
• File format: CSV or TXT supported, one number per line.
• Quantity limit: Maximum approx. 1 million numbers per task. If the list is too large, consider submitting in batches to avoid timeout.
• Deduplication suggestion: If some numbers have been detected before, use the Data Deduplication Vault (see below) to filter out duplicates and avoid repeated charges.

---

How to Create a WS Gender Detection Task? (Step-by-Step)

Step 1: Enter the “Number Screening” Module and Select WhatsApp Platform

Click Number Screening in the left navigation bar of the console to enter the task creation page.

1. In the Platform Selection dropdown, choose WhatsApp.
2. The system will display all available WhatsApp detection types.

Step 2: Configure Detection Type (Check “Gender Identification” and Other Additional Detections)

Check the detection items you need. If you only care about gender, you can check only Gender Identification. If you also want to confirm whether a number is registered on WhatsApp, additionally check Valid Number Detection. Common combinations:

• Only Gender Identification: lowest cost, suitable for scenarios where you already have a list of known valid numbers.
• Valid Number + Gender Identification: first filter out invalid numbers, then identify gender, avoiding useless detection on invalid numbers.
• If you need to export WSID (WhatsApp unique identifier), also check WSID Export.

The task creation page will display the estimated cost in real time (calculated based on total numbers × unit price of each detection item) to help you control your budget.

Step 3: Upload Numbers and Submit Task, View Estimated Cost

1. Click Upload Number File, select the prepared CSV or TXT file.
2. Confirm the number preview is correct, then click Submit Task.
3. The system will show the total estimated cost again and indicate whether your current balance is sufficient. If insufficient, the task cannot be submitted; top up first.
4. After successful submission, the task automatically enters the processing queue. You can view its status on the Task Management page.

---

Task Management and Result Export: How to Obtain Gender Data?

Task Progress Viewing and Telegram Notification Settings

• On the Task Management page, you can view the status of each task (Pending, Processing, Completed, Failed).
• If you want to be notified immediately upon task completion, go to Notification Settings in the console and bind your Telegram account (@kkdata_cc or via bot). Once completed, you will receive a push message with a result summary.

Export Filtered Results: CSV/TXT Format and Field Descriptions

After the task is completed, click the Download Result button. The following export formats are supported:

• CSV: Can be opened with Excel or Numbers, fields separated by commas.
• TXT: One number per line, with optional additional fields.

The exported result file typically contains the following fields (actual fields may vary based on the console output):

Field Name	Description
phone_number	Original number (international format)
is_valid	Whether registered on WhatsApp (y/n)
gender	Gender detection result: male / female / unknown
wsid	WhatsApp account unique ID (if export was selected)
detect_time	Detection timestamp

How to use gender data? Open the CSV file in Excel, filter the gender column to quickly extract a list of male or female numbers for subsequent targeted campaigns.

Using the Data Deduplication Vault to Avoid Wasting Balance on Duplicate Detections

KK-DATA provides a built-in Data Deduplication Vault that can compare numbers across tasks to see if they have already been detected. It is recommended to import your number list into the deduplication vault before uploading new tasks; the system will automatically remove already-detected numbers, saving detection costs.

• Operation path: Console left side Data Deduplication → Upload numbers to deduplicate → System returns the list of non-duplicate numbers → Download and use for new tasks.
• Important note: The deduplication vault only records the numbers from detection results and does not retain specific user privacy data.

---

Best Practices for Batch WS Gender Detection

• Detect in batches to avoid single large tasks: Even if the single-task limit is 1 million, it is recommended to submit batches of 100k–200k for easier parameter adjustment or error handling.
• Prioritize validity detection, then gender: First use Valid Number Detection to filter out invalid numbers, then perform gender identification on valid numbers. This reduces unnecessary requests (e.g., invalid numbers do not consume gender detection quota).
• Utilize the deduplication vault: For long-maintained number pools, regularly import into the deduplication vault to avoid duplicate detection.
• Schedule tasks wisely: Avoid submitting large tasks during business peak hours (e.g., weekday mornings in your time zone) to prevent long queue times.
• Double-check after export: After exporting gender results, you can manually verify a sample (e.g., open WhatsApp to check avatar) to help evaluate model accuracy.

---

How to Judge the Accuracy of Gender Detection Results?

WS Gender Detection is based on AI model analysis of public avatar and nickname information and cannot be 100% accurate. Common error scenarios include:

• Avatar not the person: Accounts using landscapes, pets, or cartoon images as avatars may output “unknown” or be misclassified.
• Default avatar: Newly registered or avatarless WhatsApp numbers typically cannot be gender-identified.
• Business or group accounts: Accounts with brand logos as avatars may produce meaningless results.
• Cross-cultural factors: Nicknames in some regions may have no clear gender characteristics, or names may not match gender (e.g., gender-neutral names in some countries).

Recommendation: Use gender detection results as an auxiliary filter condition, not the sole basis. For high-value targets, cross-validate with other data (e.g., points, purchase history, chat logs). KK-DATA’s gender identification accuracy typically ranges from 70% to 85% (depending on data sources); we continuously optimize the model, but please set reasonable expectations.

---

Frequently Asked Questions

Q: How many numbers can I submit at once for WS Gender Detection?
A: The maximum is approximately 1 million numbers per task. It is recommended to control the quantity based on your balance and detection type to avoid overly long processing times. Please refer to the actual prompt in the console for the specific limit.

Q: How is the “gender” field in the result derived?
A: It is determined by AI model analysis of the WhatsApp account avatar and other public information. The result is for reference only and cannot guarantee 100% accuracy, especially for accounts with unclear avatars or non-personal photos.

Q: Can I filter only numbers with gender “female” or “male”?
A: After exporting the results, you can filter based on the “gender” field yourself. Currently, the task creation stage detects all genders; after export, you can sort or filter by the gender column in tools like Excel.

Q: How is the cost of WS Gender Detection calculated?
A: Charges are based on the number of successfully detected numbers; unregistered or failed ones are not billed. The unit price varies by platform and detection type; please refer to the real-time price in the console. For example, when only “Gender Identification” is checked, the cost per number can be estimated from the task configuration page’s estimated cost.

Q: Will failed detections (e.g., invalid numbers) be charged?
A: No. Only numbers that are successfully detected are charged. For example, if a number is not registered on WhatsApp and gender cannot be identified, that entry is not billed.

---

With this tutorial, you should be able to independently complete WS Gender Detection tasks in the KK-DATA console and use the results to guide your overseas marketing and community operations. For further understanding of other number screening features (e.g., Telegram activity detection, global number generation), please refer to the Documentation or contact customer support @kkdata_cc. Log in to the Application Console now and start your first batch of WS Gender Detection!