Complete Guide to TG Active + Gender Combined Screening: How to Build Precise Layered Lists with Two-Level Filtering

In overseas customer acquisition scenarios, the ROI of Telegram community operations and DM promotions often depends on the quality of your number list. Many teams only perform basic activation checks, only to find that after mass sending, most numbers receive no response, wasting budget and effort. The real bottleneck is: you need to know not only that the number is reachable, but also whether the user is active and their gender.

This article focuses on the core method of “active + gender combined screening”, teaching you how to use the KK-DATA platform to perform a two-level filter of Telegram activity and gender data, building actionable high-conversion layered lists. From preparation to result export, the entire process is executable without programming skills.

Why Do You Need “Active + Gender” Combined Screening?

Single-dimension screening can only answer “Has this number registered for Telegram?”, but cannot answer “Will this person read messages?” or “What is their gender?”. If you treat all valid numbers as equal quality, mass sending leads to: a large number of numbers never going online (dead accounts), unclear gender making it impossible to tailor messaging, and high-value precise users being drowned in invalid lists.

Three Pain Points of Single-Dimension Screening

• Only verifying activation → many dead accounts: Telegram accounts may have been registered and never used, or abandoned. Even if such numbers receive messages, they won’t interact, purely wasting send quotas.
• Only checking activity → no gender for targeting: Activity ensures reachability, but without a gender profile, you cannot design different invitation copy or promotion strategies for male/female users.
• Only checking gender → wasting balance on invalid numbers: Gender identification itself consumes balance, but if the number is not active at all, the gender information is meaningless – essentially money down the drain.

How Combined Screening Improves Customer Acquisition Efficiency

By detecting both activity and gender simultaneously, you obtain dual information in one go: “reachable and profileable”. For example:

• Filter “active within 7 days + male” for male-oriented product pushes
• Filter “active within 30 days + female” for female-oriented community invitations
• Categorize “active but gender unknown” numbers as general traffic for broad campaigns

This combined screening transforms a single number list into multiple layered lists, significantly increasing conversion rates for each mass send. Moreover, KK-DATA supports checking both “tg active” and “tg gender” in one task, returning results together without requiring two separate submissions.

Preparation Before Combined Screening

Before starting, ensure your account and number list are ready to avoid interruptions.

Prerequisite Checklist:

Item	Description
Number list	CSV/TXT file categorized by country or channel, one number per line, including international code (e.g., +86138xxxx)
KK-DATA account	Registered and logged in to App Console
Sufficient balance	Confirm account balance covers the estimated cost of the task (details shown before submission)
Understand billing rules	For combined detection, each check is billed independently per number. Total cost = number count × (tg active unit price + tg gender unit price). Specific prices are available in the console in real time.

The following Callout reminds you about deduction logic to avoid mistakes:

Three Steps to Complete the TG Active + Gender Combined Screening Pipeline

Below we describe the specific steps to perform combined screening on the KK-DATA platform. The process is clear and repeatable, suitable for team standardization.

Step 1: Upload Number List and Create Screening Task

1. Log in to KK-DATA App Console, click “Create Task”.
2. Select platform: Telegram.
3. Upload number file: Supports CSV or TXT format, up to approximately 1 million numbers per task. If you have more, split into multiple files and submit in batches.
4. In detection type, check “tg active” and “tg gender”.
   • Activity window: Choose 7 days / 15 days / 30 days. For instant messaging scenarios, recommend 7 days; for e-commerce promotions, recommend 15 or 30 days.
   • Gender identification is based on avatar; after checking, the system automatically returns three values: male / female / unknown.
5. (Optional) Bind Telegram notification to receive alerts when the task completes.

Step 2: Submit Task and Wait for Result Notification

Click “Next”, the system will display an estimated cost including the total of both checks. After confirming, click submit. The task enters a queue; processing time depends on the number of numbers and system load. Typically, tens of thousands of numbers are completed within minutes. After completion, you can view results in the task list.

Step 3: Export Layered Lists and Apply to Marketing

On the results page, you can perform secondary filtering based on activity status and gender. For example:

• Active + Male → Export as CSV for male-oriented product promotion or community invitations
• Active + Female → Export for female-oriented content pushes
• Active + Gender Unknown → Export as general traffic for broad campaigns
• Inactive → Discard or temporarily store to avoid wasting send resources

Export formats support CSV, TXT, etc., which can be directly imported into DM tools or CRM. It is recommended to use the platform’s Data Dedup Warehouse before export to cross-check with historical numbers and avoid duplicate detection.

How to Interpret Combined Screening Results and Optimize Your List?

Understanding the meaning of result fields is essential for correct layering. A typical result row includes:

• Phone number
• Active status: Active / Inactive (with last online time range)
• Gender: Male / Female / Unknown (avatar recognition result)
• tgid (optional export)

Suggested Layering Standards

Priority	List Type	Use Case
High	Active + Male	One-on-one chat, high-value invitations (e.g., paid communities, male-oriented products)
High	Active + Female	One-on-one chat, female-oriented communities, beauty/mom-baby promotion
Medium	Active + Gender Unknown	Broad broadcasts, event teasers, group invitations (no gender-dependent messaging)
Low	Inactive	Do not send for now, or retest after some time

If your received number list already contains results from previous screening tasks, be sure to use the Data Dedup Warehouse (located in the “Data Management” module of the console) to merge and deduplicate, avoiding duplicate charges. You can also aggregate results from multiple screenings into the warehouse to form a unified pool of precise numbers.

3 Best Practices for Combined Screening

Knowing the operation is not enough; the following experience can help you avoid pitfalls and make combined screening truly effective.

Set Activity Window According to Industry

Different marketing goals require different activity definitions:

• Instant messaging / community operations: Choose 7-day activity. Target online users who can reply quickly.
• E-commerce promotions / content pushes: Choose 15- or 30-day activity. Retain more potential users for broader campaign coverage.
• Brand daily maintenance: Recommend 30-day activity to avoid over-filtering and making the dataset too small.

If the window is too narrow (e.g., 3 days), the number of active users may be very small, hindering scale reach; if too wide (e.g., 90 days), it may include many near-silent users. It is best to test with a small sample to find the optimal window.

Perform Activation Check First, Then Combined Screening

If your numbers are from unknown sources (e.g., scraped from the web or purchased from third parties), it is recommended to first filter out invalid numbers with a “tg activation” check. Only perform combined screening on activated numbers, saving more than half the cost. Because for each invalid number you detect, you still pay for activity and gender checks. In short: first run “tg activation” to scan, then run combined screening on the “activated” numbers.

Precautions and Common Misconceptions

Misconception 1: Thinking Gender Identification Is 100% Accurate

Gender identification is based on Telegram avatar photos, judged by an AI model. If the avatar is a landscape, animal, cartoon, group photo, or there is no avatar, the system returns “unknown”. Accuracy is affected by avatar quality, and it cannot be used for legal, financial, or other scenarios requiring strict gender authentication. Treat it as statistical information and verify with operational A/B testing.

Misconception 2: Ignoring Data Dedup Leads to Duplicate Charges

If you collect numbers from different channels or run the same task multiple times without deduplication, repeatedly submitted numbers incur duplicate charges. KK-DATA provides a Data Dedup Warehouse; you can upload your existing number library before submitting a task, and the system automatically excludes already-checked numbers, saving balance.

Misconception 3: Submitting Over One Million Numbers in One Batch Without Splitting

The system’s single-task limit is about 1 million numbers. If you have 5 million numbers, split them into 5 tasks and submit in batches. When splitting, it is recommended to group by country or number segment for easier regional management.

FAQ

Q: When doing combined screening, are the activity check and gender check performed simultaneously?

A: Yes. After checking “tg active” and “tg gender” on the KK-DATA platform, the system performs both checks on each number simultaneously, returning results together – no need to submit two separate tasks.

Q: What information does gender identification rely on, and what is the approximate accuracy?

A: Gender identification is based on Telegram avatar photos judged by an AI model. Accuracy depends on avatar quality and character features. It is generally reference-level and is not recommended for scenarios requiring extremely high precision. Specific accuracy rates are not publicly guaranteed; it is best to verify with actual operations.

Q: I only have a few thousand numbers. Is combined screening worth it?

A: Yes. Combined screening helps you build a high-quality seed list from the beginning, avoiding mass blocking after sending. KK-DATA charges per number with no subscription barrier; small-scale testing costs very little.

Q: In the combined screening results, what does “unknown” gender mean?

A: Possible reasons: ① The user has not set an avatar; ② The avatar is a landscape, animal, or other non-face image; ③ The avatar is blurry and unidentifiable. Such numbers still retain their activity status; you can decide whether to keep them based on your operational strategy.

Q: Which activity window is more reasonable: 7 days or 30 days?

A: It depends on the timeliness of your marketing. For immediate engagement (e.g., event invitations), choose 7 days; for long-term retention campaigns (e.g., daily pushes), choose 30 days to get more numbers. It is recommended to test based on your content update frequency.

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Now you have mastered the complete process and optimization tips for “active + gender combined screening”. Don’t just do simple activation checks anymore – try two-level screening to transform your overseas customer acquisition list from “rough” to “refined”.

Log in to the KK-DATA App Console now to create your combined screening task; for more details on detection types and pricing, see the official billing page; if you have any questions, feel free to contact official customer service @kkdata_cc.