Telegram Number Filtering Pipeline Setup Guide: From Number Generation to tgid Export

For overseas marketing and community operations teams, batch acquisition of high-quality Telegram users is a key step in launching private traffic and boosting conversion rates. However, faced with thousands or even millions of raw numbers, quickly filtering out users who are registered, active, or even gender-tagged, and converting them into structured tgid data, has long been a challenge. A mature number filtering system Telegram pipeline is the core tool to address this pain point.

This article will walk you through building a complete Telegram filtering pipeline from scratch: starting from number generation, through registration detection, activity identification, gender filtering, to data deduplication and tgid export. The entire process requires only one number filtering system console to achieve batch, precise, and repeatable lead data processing workflows.

What is the Telegram Pipeline of a Number Filtering System?

Pipeline, in this context, is not a physical conveyor belt but a logical data processing chain. It strings together independent steps such as “number generation → multi-step filtering → data deduplication → result export” into an automated workflow that can be executed repeatedly with one click.

Taking Telegram filtering as an example, a typical pipeline includes the following nodes:

1. Number source preparation: can be randomly generated global numbers or imported custom CSV lists.
2. Registration detection: identify which numbers have already registered Telegram (i.e., “TG registered”).
3. Validity detection: on top of registration, confirm that the number can currently receive messages and is not deactivated (i.e., “TG valid”).
4. Activity filtering: set a time window (e.g., 7 days, 15 days, 30 days) to mark users who have had activity in the past period.
5. Gender identification: obtain gender tags through avatar recognition (supported by some platforms).
6. Data deduplication: compare the results of the current task with historical tasks to avoid duplicate detection and wasted balance.
7. tgid export: finally export fields such as tgid, activity status, and gender for the selected numbers as CSV or TXT files.

The core value of this pipeline lies in: batch processing, precise classification, and high reusability. You can define different pipeline templates for different marketing scenarios (e.g., private message promotion, group invitations, user acquisition campaigns). Each time you only need to import new numbers, and the system will automatically execute the preset filtering logic.

Why Do Overseas Teams Need a TG Filtering Pipeline?

Manually checking whether a single number is registered on Telegram may sound feasible, but when the number scale reaches thousands, tens of thousands, or even millions, the limitations of manual operation become immediately apparent:

Comparison Dimension	Manual Checking	Using Filtering Pipeline
Efficiency	Can only check a few numbers at a time, taking hours or even days	Can process millions of numbers in a single task, completed in minutes
Data Dimensions	Can only determine “available or not”, cannot distinguish activity or gender	Can simultaneously obtain multi-dimensional tags like registration, activity, gender
Duplication Risk	Same numbers may be repeatedly checked across batches, wasting costs	System automatically deduplicates, no repeated charges for already checked numbers
Export Format	Manual recording is error-prone	Automatically exports structured data (CSV/TXT), directly usable with follow-up tools
Repeatability	Must set up manually each time, no accumulation of experience	Configure once, reuse later, continuously optimize filtering criteria

For overseas teams, the most direct pain point often comes from number quality. Sending bulk messages with unfiltered junk numbers leads to high unsubscribe and complaint rates, and accounts may even get restricted. A pipeline can help you:

• Save balance: through deduplication and layer-by-layer filtering, only pay to detect truly valuable high-quality numbers.
• Improve response rate: send greeting messages to users active within the last 7 days, open rates are much higher than with cold numbers.
• Support fine-grained operations: carry out differentiated marketing by gender and activity (e.g., promote games to male users, beauty products to female users).
• Scale user acquisition: upgrade from manual testing of a few hundred numbers to automated pipelines handling tens of thousands, achieving a leap in scale.

How to Build a Telegram Filtering Pipeline?

The following uses the KK-DATA console as an example to explain the setup process step by step. You need to complete all operations in the application console. Decisions at each step should be based on the actual interface.

Step 1: Prepare Number Source – Global Number Generation or Custom Import

The first step of the pipeline is to obtain the raw number pool. KK-DATA offers two methods:

Method 1: Global Number Generation (Free)

Go to the “Number Generation” module, where you can select as needed:

• Country/Region: covers 240+ countries, including China, USA, Philippines, Nigeria, etc.
• Number segment type: choose random generation, global number segment generation, or custom segment CSV import.
• Quantity: set the number to generate. Generation operations are completely free and do not consume balance.

Generated numbers will appear directly in your number pool and can be used for subsequent filtering tasks.

Method 2: Custom CSV Import

If you already have your own number list (e.g., mobile numbers collected through other channels), you can directly upload a CSV file in the console. The system will automatically identify the number field and validate the format.

Step 2: Create a Filtering Task – Configure Filtering Conditions

Once the number source is ready, create a new “filtering task” in the console. Here you need to define the core filtering logic of the pipeline.

Key configuration items include:

• Detection Platform: select Telegram
• Detection Types (check as needed):
  • TG registered: determine whether the number is registered on Telegram (basic detection, usually executed first)
  • TG valid: on the basis of registration, determine whether the number is currently usable (can receive messages, not deactivated)
  • TG active: specify an activity time window (e.g., 7/15/30 days). The system will identify users who have had login, send/receive messages, etc., in the past period.
  • Telegram gender data (avatar recognition): recognize gender characteristics from the user’s avatar
  • Export tgid: if checked, the task will return the tgid corresponding to each number upon completion
• Deduplication Strategy: enable “data deduplication warehouse”. The system will compare with historical detection results; already checked numbers will not be rechecked, and balance will not be deducted again.
• Task Notification: enable “Telegram notification”. When the task is completed, you will receive a message alert via your TG account.

Note: Different detection types have different unit prices. You can check the “estimated cost” before submission to see the specific fees.

Step 3: Execute and Export – Obtain High-Quality TG Data

After configuration, submit the task. The system will automatically execute the detection. During this process, you can view real-time progress in the task list.

When the task is completed (you will usually receive a notification), go to the “Task Details” page and click the “Export” button to select the output format (CSV or TXT). The exported data file will contain the following fields (depending on the types you checked in Step 2):

• Number
• TG registered (Yes/No)
• TG valid (Yes/No)
• Activity (e.g., active within 7 days / active within 15 days / inactive)
• Gender (Male/Female/Unknown)
• tgid

This structured data can be directly imported into your follow-up tools, mass messaging systems, or CRM. For example, if you are doing Telegram community recruitment, you can select only “active within 7 days + male” users to invite, and the conversion rate will far exceed indiscriminate mass messaging.

Frequently Asked Questions

Q: What does activity detection in TG filtering mean? How far back can it detect activity?

A: Activity detection refers to the system analyzing the number’s recent activity records on the Telegram platform to determine whether it has performed message sending/receiving, login, etc., within a specified time window. You can usually choose windows such as 7 days, 15 days, or 30 days. The more recent the activity, the more likely the user is currently willing to interact, making it very suitable for immediate marketing scenarios.

Q: What is tgid? Why do I need to export it?

A: tgid is the unique numeric identifier assigned by the Telegram platform to each user (format like 1234567890). When you later use automation tools (e.g., mass messaging, group joining, monitoring), many systems require tgid instead of phone numbers to locate users. Exporting tgid allows you to bypass carrier restrictions and reach target users more stably.

Q: If I already have a ready-made number list, can I use the filtering pipeline directly?

A: Absolutely. You only need to import your CSV file into the number pool in the console, then skip the number generation step and directly create a filtering task. The system will automatically recognize and process your number list. Note: if the number volume is very large (over a million), it is recommended to import in batches to avoid browser timeout.

Q: How long does it take to complete a filtering task after submission?

A: The exact completion time depends on the number of numbers and the selected detection types. Generally, basic detection (e.g., only registration and validity) for up to 10,000 numbers is completed within minutes; if simultaneously detecting activity and gender, or if the number volume reaches hundreds of thousands, it may take 10 minutes to several hours. Before submission, the console will display an estimated completion time. You will also be notified via Telegram when the task finishes.

Q: If my balance is insufficient, will a submitted task be interrupted?

A: No, it will not be interrupted. The system will deduct the actual fee from your balance after the task is completed. If your balance is insufficient when submitting a task, the task cannot be submitted; however, a task that has already started will execute normally and then deduct the balance. After that, your balance may become negative, and you will need to top up before submitting new tasks.

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Building an efficient number filtering system Telegram pipeline hinges on understanding the purpose of each filtering node, reasonably configuring detection types, and making good use of deduplication and export functions. From number generation, registration and activity detection, to finally obtaining precise user data with tgid, this process can significantly boost the conversion rates and reusability of overseas user acquisition.

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