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TG Pipeline Practice: How to Configure the 'Filter Gender After Activity' Task in Telegram Number Screening

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TG Pipeline in Action: How to Configure the “Screen Gender After Activity” Task in Telegram Number Filtering (Active + Gender Combo)

In B2B SaaS outbound customer acquisition scenarios, the validity and activity level of Telegram numbers directly impact DM reach rates and conversion costs. Many teams habitually submit all numbers for gender detection at once, ignoring the waste of detection balance on large numbers of invalid numbers. The “Screen Gender After Activity” process introduced in this article (i.e., Active + Gender Combo) first checks the activity of Telegram numbers, then performs gender recognition only on active numbers, achieving list segmentation and precise customer acquisition. You will learn how to configure this TG pipeline in the KK-DATA console and obtain CSV data ready for marketing use.

Prerequisite Knowledge

All operations in this article are based on the KK-DATA Console. Pricing is based on real-time console rates; no fixed packages are offered.

Why Do You Need a TG Pipeline That “Screens Gender After Activity”?

Running gender detection directly on a batch of numbers generates significant wasted costs:

  • Unregistered or deleted Telegram numbers (typically 30%–70%) are marked as “no data,” yet still consume gender detection billing credits.
  • Even if a number is registered, if it’s been inactive for a long time, its profile picture may be outdated or missing, reducing recognition accuracy and making it unsuitable for short-term DM outreach.

The logic of checking activity first, then screening gender on active numbers is:

  • Reduce invalid detections: Eliminate inactive numbers first; gender detection only targets confirmed reachable numbers, improving balance utilization by 2–3 times.
  • Improve conversion ROI: Active users are more likely to click links and reply to messages. Combining gender information allows more nuanced copywriting (e.g., tool-oriented for males, lifestyle-oriented for females).
  • List segmentation: Obtain layered tags such as “active male,” “active female,” “inactive,” etc., enabling fine-grained operations.

This TG pipeline is especially suitable for scenarios such as: community growth, product beta invitations, cross-border e-commerce independent site traffic generation.

Prerequisites: Account, Balance & Number List

Before starting configuration, ensure the following three items are ready:

Top-up & Balance Confirmation

KK-DATA charges per request, with no subscription packages. Payment is via USDT (TRC20), minimum approximately 50 USDT. The balance updates automatically on the console home page after top-up.

  • Top-up entry: Console → Billing → Copy USDT address → Transfer → Wait for arrival.
  • Suggestion: An initial top-up of 50 USDT is sufficient to test a pipeline with about 1,000 numbers; confirm results before adding more.

Number List Cleaning & Format Compliance

Supports TXT/CSV format, one full international number per line (e.g., +8613800138000), no spaces, no special characters.

If you don’t have numbers yet, you can use KK-DATA’s Global Number Generation feature: select target country/region, generate random numbers or import custom number ranges. Generation is free; charges apply only during filtering.

Format Reminder

Avoid files containing duplicate lines, empty lines, or non-number characters; otherwise, the system may reject them or fail to recognize some numbers.

Step 1: Configure a TG Activity Detection Task

Log in to the console and go to “Filter Tasks” → “New Task”.

  1. Select Platform: Telegram
  2. Detection Type: TG Active
  3. Activity Window: Options: 7 days / 15 days / 30 days / Custom (see strategy below)
  4. Upload Number List: Drag and drop file or paste number list
  5. Estimated Cost: The system will automatically display the estimated deduction for this task (based on current unit price)
  6. Submit Task: Confirm sufficient balance and submit

Strategy for Choosing the Activity Window

The activity window checks whether the number had online activity within the specified past days.

WindowApplicable ScenarioSuggestion
7 daysShort-term marketing, promotions, time-sensitive DMsHigh reach rate, but smaller number pool
15 daysRegular community invitations, product beta testingBalance between reach rate and quantity; recommended default
30 daysLong-term nurturing, brand awarenessCovers more potential active users, but timeliness is lower

Tip

The activity window only affects the range of numbers marked as “active” in the results; it does not change the total number of numbers detected. Choose based on your outreach timeliness needs.

Task Submission Flow & Notifications

After submission, the task enters a queue. Processing time depends on the number of numbers (approx. 10–30 minutes for 10,000 numbers). Upon completion, you can retrieve results in two ways:

  • Console: View progress in “Task List”; click details to preview or export.
  • Telegram Notification: Link your TG account in “Notification Settings”; you’ll receive an automatic message upon task completion.

The exported file includes fields: number, active status, last active time, tgid, etc.

Step 2: Filter Gender Based on Activity Results

After obtaining the export from the activity detection, use it as input for gender detection.

  1. Create a new task → Platform: Telegram → Detection Type: TG Gender (profile picture recognition)
  2. Upload number list: Keep only numbers marked as “active” from the activity detection results (or upload all, but the system will automatically deduplicate)
  3. Submit task

Important Note

Gender detection can only be performed on confirmed registered numbers. Be sure to complete activity detection first before running gender detection; otherwise, you will be unable to identify the gender of inactive numbers, wasting resources.

Gender Detection Principle & Considerations

KK-DATA’s Telegram gender data is inferred through profile picture recognition algorithms. Accuracy is generally stable and usable in most scenarios, but 100% accuracy cannot be guaranteed due to:

  • Profile pictures using cartoons, landscapes, animals, etc.
  • Users not setting a profile picture.
  • Group photos may lead to biased recognition results.

Therefore, gender labels should be used as preliminary grouping references and avoided for highly sensitive judgments (e.g., identity verification).

How to Use the Data Deduplication Repository to Avoid Repeated Detection

KK-DATA has a built-in Data Deduplication Repository. Numbers that have been detected in any task are automatically recorded. When you import the exported active numbers into a new gender detection task, the system will recognize which numbers have already been detected in other tasks (including activity detection) and skip duplicates (no charge).

Example operation:

  1. After activity task completes, export results to CSV.
  2. Create a new gender task and upload the same CSV.
  3. The system will display the “actual detection count after deduplication” when creating the task, ensuring you are only charged for active numbers that haven’t had gender detection.

Implement the Closed-Loop Pipeline: Generate → Activity → Gender

Connecting the three modules creates an automated pipeline:

Global Number Generation (free) → TG Activity Detection (paid) → Export Active Numbers → TG Gender Detection (paid) → Export Final Segmented List

Combined with the “Task Notification” feature, you can operate as follows:

  • After generating numbers, submit an activity detection task.
  • Upon receiving a notification, immediately create a new gender task (import the just-exported active numbers).
  • After gender detection completes, obtain the final list.

Advanced Tip: If you have numbers from multiple countries/regions, you can submit multiple activity detection tasks in parallel, then merge the active results and submit a single gender detection task. KK-DATA supports up to ~1 million numbers per task, sufficient for medium-to-large teams.

Best Practices for List Segmentation & Export

After gender detection completes, we recommend exporting in CSV format and selecting the following fields:

  • Number (phone)
  • Active (active)
  • Activity window (active_window)
  • Gender (gender): male / female / unknown
  • tgid

You will get data like this:

phoneactiveactive_windowgendertgid
+8613800138000Yes7male123456789
+8613800138001Yes7female987654321
+8613800138002No---

Segmentation Suggestions:

  • Active Male: Suitable for pushing tools, games, finance products.
  • Active Female: Suitable for pushing beauty, maternal & baby, lifestyle services.
  • Active but Gender Unknown: Can be used for general marketing or send content prompting user interaction to supplement information.
  • Inactive: Set aside temporarily or send low-frequency re-engagement messages; avoid frequent打扰.

After export, you can directly import into CRM, bulk messaging tools, or Telegram channel invitation bots.

Common Errors & Checklist

Avoid these beginner pitfalls:

  1. Insufficient balance causing task failure: Always check balance covers the estimated cost before submitting.
  2. Not using data deduplication: Importing activity detection results directly into gender detection will trigger automatic deduplication; but if you manually copy numbers to a new file, format differences may prevent matching, leading to duplicate charges. It is recommended to directly export CSV and re-import.
  3. Wrong activity window selection: Selecting 7 days while expecting to cover 30-day users results in too small a list. Plan your outreach cycle in advance.
  4. Ignoring notification settings: Console records are available, but setting TG notifications allows faster progression to the next step.
  5. Incorrect number format: When using “Global Number Generation,” pay attention to country codes; non-standard formats will be rejected by the system.

Checklist (Copy-friendly)

  • Registered KK-DATA account and logged into console
  • Balance at least 50 USDT (or sufficient to cover planned tasks)
  • Number list format: one international number per line, no empty lines
  • Determined activity window (7/15/30 days)
  • Set up Telegram notification (optional but recommended)
  • Exported CSV after activity task completion
  • Gender task imports active numbers CSV; pay attention to deduplication prompt
  • Selected required fields when exporting results
  • Final list segmented and archived

Frequently Asked Questions

Q: Can activity detection and gender detection be submitted simultaneously for the same number list?
A: It is not recommended to submit them simultaneously. Gender detection requires confirmation that the number is registered and active; doing activity first then gender avoids unnecessary gender detection on invalid numbers, saving balance.

Q: What does “activity window” mean in activity detection results?
A: The activity window refers to checking whether the number had online activity within the specified past days. For example, selecting 7 days checks if there was activity in the last 7 days. A longer window may cover more active numbers, but its match with your marketing timeliness may decrease.

Q: How accurate is gender detection?
A: KK-DATA’s Telegram gender data is inferred through profile picture recognition algorithms. Accuracy is generally stable and usable in most scenarios, but 100% accuracy cannot be guaranteed. It is recommended as a preliminary grouping reference and should be avoided for highly sensitive judgments.

Q: If I export the number list after activity detection and import it into gender detection, will I be charged twice?
A: If the numbers have already been detected in a previous task (including activity detection), the system’s “Data Deduplication Repository” will automatically recognize and skip duplicate numbers, avoiding duplicate charges. However, ensure you use the same account and number format for both tasks.

Q: Can I directly run gender detection on generated numbers? Why do activity first?
A: Direct gender detection is possible, but it will run gender detection on all generated numbers (including many unregistered or invalid numbers), wasting most detection resources. Running activity first can eliminate 70%–90% of invalid numbers, making the investment in gender detection more effective.


Now log in to the Application Console to start configuring your first TG pipeline, or visit the Documentation for more task setup details. For assistance, contact official customer service via Telegram @kkdata_cc.