How to use TG's full-format filter? One-click solution for accurate matching of multiple account types

In Telegram community operations, quickly matching accounts that meet specific needs from a massive number of phone numbers has always been a practical challenge for teams. Whether it's needing high-frequency active users, real users with profile pictures, or specific age groups, traditional methods are inefficient. ITG's full-domain filtering feature , offering full-format filtering , enables batch analysis of millions of phone numbers within minutes through one-click upload, automatic detection, and multi-dimensional output. This article will detail the core usage methods and application scenarios of this feature.

1. What data can TG full-format filtering output?

Before you begin using it, you first need to understand the data fields that TG's full-format filter can output. These dimensions together constitute a complete user profile:

• Phone number : The phone number linked to your Telegram account is the basic identifier for cross-platform matching.
• TG UserId : A unique user ID assigned by Telegram that will not change even if the username is modified.
• TG Username : The user's current display name, used for easy identification and mention within the community.
• FirstName and LastName : The first and last names set by the user, reflecting the completeness of the data.
• Gender : Gender information determined based on a combination of profile information and facial features.
• Age : User age range used for auxiliary judgment
• Number of people in the profile picture : The number of people in the profile picture, whether it is a single person or multiple people.
• Skin color : Skin color features based on avatar recognition
• Profile picture types : divided into real photos, default profile pictures, cartoon characters, etc.
• Profile picture URL : The complete link to the profile picture image, for easy manual verification.
• User's real time : timestamp of the last time online
• Active days : Number of login days in the last 7 days, 30 days, and 90 days.
• Is the account frozen ? Has the account been banned by the platform?

The comprehensive output of these fields provides a data foundation for subsequent matching of multiple account types.

II. How to filter frequently active users?

For operational scenarios that require frequent user interaction, the following steps can be used to quickly match users:

• Filter settings : In the results, filter accounts with "Active Days (30 days)" greater than 15 days and "User Real Time" within the last 7 days.
  
• Additional Dimensions : By adding a real photo as the "profile picture type," the authenticity of the user's profile picture is further enhanced.
• Application scenario : These users are suitable as core members of the community, and should be given priority access to important events and exclusive benefits.

By using multi-dimensional filtering, the most active and high-quality users in a community can be quickly identified.

III. How to filter out real users with profile pictures?

For operational scenarios that emphasize user authenticity, the following steps can be taken:

• Filter settings : Filter by "Avatar Type" which is not limited to default avatar or no avatar, and "Number of Avatars" which is for accounts with only one user.
• Additional Dimensions : Overlay demographic attributes such as "gender" and "age" to match target audience characteristics.
• Application scenario : This type of user is suitable as a basic member of a brand community, as they have relatively high authenticity and willingness to interact.

Users with profile pictures are usually more serious about maintaining their accounts and are a target group worth prioritizing.

IV. How to screen target users in a specific market?

For marketing campaigns targeting a specific region, matching can be done using the following dimensions:

• Filter criteria settings : Filter accounts whose "skin tone" characteristics match the target market, such as filtering specific skin tone ranges for the Southeast Asian market.
  
• Additional Dimensions : Overlay the region of origin for the mobile phone number, and further confirm the market area through the international area code.
• Application scenario : Combining skin color and mobile phone number location allows for more precise targeting of specific market users.

V. How can ITG global filtering be done with a single click?

The reason why all the above operations can be completed efficiently is due to the technical support of ITG's full-domain filtering:

• One-click upload with automatic processing : Users only need to upload a file containing their phone number, and the system automatically completes hundreds of millions of data interactions in the background without manual intervention.
• Multi-dimensional parallel detection : Simultaneously calling multiple data sources, it performs comprehensive judgments on each number across more than ten dimensions, completing millions of detections in just over ten minutes.
• Structured output : All test results are generated into an Excel spreadsheet in a uniform format, containing all the above fields, facilitating online filtering and export.
• Flexible filtering and export : Supports online filtering and sorting by any field, and one-click export of a list of users who meet the criteria, which can be directly used for subsequent additions or mass messaging.

With ITG's global filtering capabilities, operations teams can easily complete complex data filtering tasks without writing code or building systems.

Conclusion

From uploading files to multi-dimensional filtering, and then to exporting and applying the results, TG's full-format filtering provides operations teams with a complete solution for precise account matching. Through comprehensive output across more than ten dimensions, including phone number, UserId, profile picture, and active days, finding frequently active users or filtering target groups in specific markets can be completed with a single click within minutes. Leveraging ITG's full-domain filtering capabilities, Telegram user operations have been upgraded from time-consuming and laborious manual processes to a highly efficient and accurate data-driven model.