Full Analysis of the Number Screening System’s Gender Module: How to Achieve Precise Targeted Customer Acquisition Using TG Gender and WS Gender Data

In overseas marketing, filtering valid numbers is only the first step. Understanding user gender enables precise targeting. This article explains in detail the number screening system’s gender module, including its recognition principles, the practical value of TG gender/WS gender in community management and e-commerce promotion, and how to use the number screening system’s gender module to optimize customer acquisition ROI and avoid wasted ad spend. Applicable to Telegram/WhatsApp targeted marketing scenarios.

What Is the Number Screening System’s Gender Module and Why Is It Crucial for Overseas Marketing?

The number screening system’s gender module refers to a feature that, in addition to checking number validity and activity, provides user gender identification (TG gender, WS gender). Its core value lies in shifting from “mass-sending to all numbers” to “sending only to the right people.”

In B2B SaaS customer acquisition scenarios, skipping the wrong audience means lower account ban risk and higher reply rates. For example, sending men’s skincare ads to male users and beauty tutorials to female users can multiply conversion rates; conversely, gender mismatch not only wastes budget but also easily triggers user reports, leading to number marking or even bans.

How Does the Number Screening System Identify TG Gender and WS Gender? Principles and Accuracy Analysis

Telegram Gender Recognition: AI Judgment Based on Avatars and Nicknames

TG gender recognition mainly relies on facial feature analysis from user avatars. If the avatar contains a clear face, the system makes probabilistic judgments using visual information such as facial structure and hairstyle; it also assists by analyzing common gender-biased words in nicknames (e.g., “哥” “姐” “妹” in Chinese, or “Mr.” “Ms.” in English). Applicable scenarios include community management and private traffic segmentation.

Accuracy Note: When the avatar is a real front-facing photo with high resolution, the recognition rate can exceed 85%. However, if it’s a landscape, animal, cartoon, or no avatar, the system returns “Unknown.”

WhatsApp Gender Recognition and Social Engineering Inference

WS gender recognition differs from TG. Since the WhatsApp client itself does not expose a gender field, the system infers based on the number’s registration information or associated data on other public platforms (e.g., whether the number filled in gender when registering on an e-commerce site). Note that WS gender recognition accuracy is usually lower than TG; it is recommended to use it in combination with other dimensions (e.g., activity, number validity) and not as the sole filter criterion.

Without the Number Screening System’s Gender Module, Your Customer Acquisition Budget Might Be Half Wasted

Suppose you have a beauty product and need to send trial info to female users. Without the gender module, mass-sending to the entire number pool may result in over half being male users. These male users will likely not click your link and may even report your account due to nuisance, leading to account weight reduction or ban. In contrast, using the number screening system’s gender module, you can filter out “female TG users active in the last 7 days” or “valid female WS users,” boosting conversion rates from 1% to over 5% while reducing ban risk.

Comparison Dimension	Without Gender Module	With Gender Module
Target User Accuracy	Random mass-sending, includes many irrelevant genders	Precisely targets intended gender users
Conversion Rate	Low (1%–3%)	Higher (can increase to 5%–10%)
Report/Ban Risk	High	Significantly reduced
Budget Waste Ratio	~50%	Can be controlled within 10%

How to Use TG Gender and WS Gender Data to Build a Targeted Marketing Funnel?

Below is an actionable five-step funnel to implement gender-based number screening.

Step 1: Generate and Import the Number Pool to Be Screened

Use KK-DATA’s “Global Number Generation” feature, select target country and number segments, randomly generate numbers, or directly import your own CSV number list. This step is free (generation is free); charges begin only when screening.

Step 2: Submit a Gender Screening Task to Obtain TG Gender/WS Gender Labels

Log in to the console, create a screening task. Under “Detection Type,” check the “Gender Recognition” option for the corresponding platform (e.g., “Gender Recognition” under Telegram). If you also need to check activity, check that option as well. After submitting, the system shows an estimated fee. Once the task is complete, you can see the gender label (Male/Female/Unknown) for each number in the result list.

Step 3: Develop Different Outreach Strategies Based on Gender Results

Export the gender-tagged list as CSV or TXT. For male users, push men’s skincare, e-cigarettes, gaming content; for female users, push beauty, maternity, clothing, etc. Combine with activity data to further narrow down the target.

Specific Applications of the Number Screening System’s Gender Module in Various Overseas Marketing Scenarios

Scenario 1: Cross-Border E-commerce Standalone Store – Differentiated Promotion for Beauty and Men’s Fashion

Suppose you run both beauty and men’s fashion categories. After using gender screening, direct female users to beauty landing pages and male users to men’s fashion pages. This avoids showing uninterested products, improving click-through and conversion rates.

Scenario 2: Dating/Social App User Acquisition – Balancing User Gender Ratio

Many dating apps face gender imbalance (far more male users). Targeted recruitment of female users is key. Using the number screening system’s gender module to filter a female user pool and centrally push platform advantages and incentives can quickly improve user structure.

Scenario 3: B2B SaaS Field Promotion – Filtering Out Non-Target Decision Makers

Some industries have distinct gender ratios among decision makers (e.g., construction predominantly male, beauty industry predominantly female). By rough gender screening, concentrate sales resources on high-probability targets and reduce waste.

Usage Precautions and Limitations

• Auxiliary tool, not absolute standard: TG/WS gender recognition is inferred from public information; accuracy depends on the data users provide. Avatars of landscapes, neutral nicknames may result in “Unknown” tags.
• Do not rely solely on gender: Use gender as one of the “reference screening indicators” combined with activity, number validity, region, and other dimensions.
• Comply with platform policies: Regardless of screening results, ensure sent content adheres to Telegram, WhatsApp, and other platform terms of service to avoid spam or harassment.
• Data update cycle: User avatars or nicknames may change; it is recommended to re-screen periodically to maintain label timeliness.

How to Use the Number Screening System’s Gender Module on KK-DATA (Operation Guide)

1. Log in to KK-DATA Console
2. Click “Number Screening” → “Create New Task”
3. Select the screening platform (Telegram or WhatsApp), upload or paste numbers
4. Under “Detection Type,” check “Gender Recognition” (and other items you need, such as activity, validity)
5. The system shows an estimated fee; confirm and submit the task
6. After the task completes, view the result list—each number will have a gender label (Male/Female/Unknown)
7. Click the “Export” button, choose CSV or TXT format to download the gender-tagged list

For detailed steps, refer to the Documentation

Frequently Asked Questions

Q: What is the difference between TG gender and WS gender recognition results? Which is more accurate?
A: TG gender is mainly based on avatars and nicknames; recognition rate is higher when a clear avatar is available. WS gender has less public information, so its recognition rate is usually lower than TG. It is recommended to use both as auxiliary dimensions, combined with activity and number validity. For details, refer to actual recognition results in the console.

Q: Is there an extra fee for gender screening?
A: Yes, gender recognition is one of the “detection items.” When submitting a task, the system calculates the estimated deduction based on the detection types you select (e.g., TG valid + TG gender). Check the real-time billing page in the console or the Billing Description for specific unit prices.

Q: If I have a batch of numbers and want to first check gender before deciding what content to send, how do I proceed?
A: Log in to the Console, select “Number Screening,” upload or paste numbers, choose the “Gender” option for the corresponding platform (e.g., “Gender Recognition” under Telegram). After the task completes, you can see gender labels (Male/Female/Unknown) in the result list, supporting CSV or TXT export.

Q: Is the proportion of “Unknown” results in gender recognition high? What is the reason?
A: If the user’s avatar is a landscape photo, cartoon, has no avatar, or the nickname has no gender-biased characters (e.g., single English letters), the system will mark it as “Unknown.” Focus on users with clear gender identification; for unknown ones, decide based on other dimensions (e.g., activity).

Q: Can I use gender screening results directly for ad targeting?
A: Yes. Import the exported phone number list with gender tags into the custom audience of the corresponding ad platform (e.g., Meta, Google) and then target ads accordingly, effectively reducing customer acquisition costs.

---

After reading this analysis, do you want to immediately verify your own number pool? Start with the number screening system’s gender module to improve customer acquisition precision.

👉 Log in to the Console to Start Screening
🔗 Contact customer service two-way: https://t.me/kkdata_robot for one-on-one guidance
📚 Detailed documentation: https://docs.kkdata.cc/
🌐 Visit the official website for more product capabilities: https://kkdata.cc/