Beginner's Guide to TG Member Filtering: Step-by-Step Instructions to Build Your Own Precision User Database

In the world of Telegram marketing, the biggest pitfall is "blindness." Blindly acquiring numbers and indiscriminately sending mass messages ultimately leads to dismal conversion rates and a pile of banned accounts. Successful TG marketing starts with a precise, high-quality user database. The key to building this treasure trove is TG member filtering. Whether you are a newcomer to this field or a seasoned professional looking to improve efficiency, mastering scientific TG member filtering methods will be a milestone in your journey from extensive operations to precision marketing. This guide will provide step-by-step instructions on how to use the professional filtering tool, ITG Global Filter, to build your own high-value, precision user database.

Chapter 1: Why You Must Understand TG Member Filtering

Before diving into the practical steps, we must first recognize the necessity of filtering from a conceptual perspective. An unfiltered list of numbers is not an asset; rather, it is a liability that consumes your time, money, and energy.

• Bid Farewell to Resource Waste: A raw list of numbers typically contains a large number of non-TG users, inactive "zombie accounts," and abandoned numbers. Sending messages to these numbers means your marketing budget is silently draining away.

• The Core of Improving Conversion Rates: The essence of marketing is communicating with the "right people." TG member filtering helps you precisely identify potential customers from the vast crowd who are not only active TG users but also likely interested in your product or service. Conversing with targeted users naturally multiplies conversion rates.

• Safeguard Account Security: The Telegram platform strictly cracks down on spam behavior. Sending a large volume of messages to invalid or non-target users is the main reason for triggering risk controls and getting accounts banned. Filtering makes your behavior more "like" a normal user, significantly enhancing account security.

In simple terms, TG member filtering is a process of cleaning data and eliminating the inferior to preserve the superior, ensuring that every bit of your marketing effort is used where it counts.

Chapter 2: Preparations: Laying the Foundation for Filtering

Before starting the filtering process, you need to complete two foundational preparations:

1. Acquire a Raw List of Numbers: This is your "raw material." Sources can vary, for example:

   • Exporting from public TG groups in relevant industries.

   • Obtaining user-authorized numbers through offline events, website forms, etc.

   • Data exchanges with partners.
     Note: Always ensure your sources of numbers are legal and compliant, respecting user privacy and platform regulations.

2. Choose a Professional Tool: ITG Global Filter: A craftsman must sharpen his tools to do his work well. Manually verifying numbers is like finding a needle in a haystack and is entirely impractical. You need a professional tool like ITG Global Filter. Designed specifically for TG marketing, it boasts batch processing capabilities, accurate identification, and data analysis functions, enabling you to filter massive number lists in a short time. It is the "accelerator" for building a precision user database.
   
   

Chapter 3: Four Steps to Get Started: Hands-On TG Member Filtering

Now, let's move into the core practical steps. In just four steps, you can transform "raw materials" into a "precision user database."

Step 1: Data Import and Formatting
Log in to the ITG Global Filter tool platform and import your prepared raw number list (usually in CSV or Excel format). Before importing, it's advisable to perform simple preprocessing, such as deleting completely duplicate numbers. Simultaneously, use the tool's formatting function to standardize all numbers into an international format (e.g., +86...). This is the foundation for ensuring the accuracy of subsequent filtering.

Step 2: Initiate the Core Filtering Task
In the tool's operation interface, find the "TG Member Filtering" or similar function module. Here, you can set filtering parameters, such as specifying the target country or region. After configuring the settings, click start. ITG Global Filter will then begin its work. Utilizing its technical advantages, it will batch-process and quickly verify each number in the list, determining whether it is a genuine registered TG user and assessing its activity level. This step is the soul of the TG member filtering process, directly determining the "purity" of your user database.

Step 3: Analyze and Export the Filtering Results
Once the task is completed, ITG Global Filter will generate a clear and detailed report. The report typically categorizes numbers as follows:

• Valid Active Users: Numbers registered with TG and showing high activity. This is your "golden user database," with the highest value.

• Valid but Inactive Users: Registered with TG but rarely used. Can be included in a nurturing database for later re-engagement attempts.

• Non-TG Users / Invalid Numbers: Not registered with TG or completely invalid. Should be decisively discarded.

At this point, you can directly use the ITG Global Filter tool to export the "Valid Active Users" list with one click. This is your initially built precision user database.

Step 4: Build a Segmented User Database and Develop Outreach Strategies
A mature marketer does not treat all users equally. You can use the additional dimensional data provided by ITG Global Filter (such as inferring user interest tags based on the types of groups they might join) to perform secondary segmentation on the "Valid Active Users."

• Group A Database: High activity + High interest match. Prioritize for focused outreach and personalized communication.

• Group B Database: High activity but unclear interests, OR interest match but medium activity. Can be used for standardized mass messaging tests and content nurturing.
  By building a segmented user database, your marketing strategies will become more refined, and resource allocation more efficient.
  
  

Chapter 4: Best Practices and Common Pitfalls

To maximize the effectiveness of your TG member filtering efforts, keep the following points in mind:

• Regular Updates: User status is dynamic. It is recommended to re-filter your core user database every 3-6 months, promptly removing invalid numbers and adding fresh ones.

• Quality Over Quantity: A database containing 1,000 precise users is far superior to a list of 100,000 invalid numbers. Always pursue the quality of your user database.

• Compliant Operation: Even with a precision user database, when launching marketing campaigns, you must follow Telegram's community rules and anti-spam policies, providing valuable content rather than pure advertising bombardment.

• Pitfalls to Avoid:

  • Don't think of filtering as a one-time task; it is an ongoing optimization process.

  • Don't be stingy about investing in professional tools; their cost is negligible compared to the efficiency and conversion improvements they bring.

  • Do not use the filtered data for purposes beyond user expectations; respecting privacy is the cornerstone of long-term development.
    
    

Conclusion: Start Building Your Private Traffic Foundation Today

Building a precision user database is a core competency that modern marketers must possess. And TG member filtering is the concentrated embodiment of this capability. Through this guide, you have mastered all the key steps from concept to practice. Now, what you need to do is take action. Immediately try using professional tools like ITG Global Filter. Start with your first number list and personally execute a complete TG member filtering process.

When you possess a precision user database that you have personally filtered and maintained, you will find that TG marketing is no longer a luck-based "spray and pray" but a "precision strike" that hits the mark every time. This will be the most solid cornerstone for your business growth and your absolute advantage over the vast majority of competitors.