Looking to find high-value users on Telegram? TG's full-format filtering supports precise targeting based on UserId, profile picture, and other dimensions

In today's increasingly sophisticated Telegram community operations, identifying high-value users from a massive pool of friends has become a core challenge for operations teams. Traditional account filtering relies solely on phone numbers or usernames, making it difficult to comprehensively assess account quality. ITG's full-format filtering feature is designed to address this pain point. By outputting complete user profiles including phone numbers, UserId, usernames, profile pictures, and activity data, TG's full-format filtering helps teams transition from "extensive addition" to "precision operation." This article will analyze the various filtering dimensions and how to identify high-value users.

I. Basic Identity Information: Accurate Identification from Mobile Number to UserId

TG's full-format filtering provides comprehensive data fields at the basic identity verification level, ensuring that each account can be uniquely and accurately identified:

• Mobile phone number : The mobile phone number linked to the Telegram account is the account's basic identification information. For users who have imported their CRM system, cross-platform matching can be performed using the mobile phone number.
• TG UserId : A unique user ID assigned by Telegram that will not change even if the username is modified. This is the most stable and reliable field for identifying accounts, avoiding duplication or omission due to user name changes.
• TG username : The user's current display name. In community interactions, usernames are often the primary way users are remembered.
• FirstName and LastName : The first and last names set by the user, which can be used to determine whether the user has completed the basic information.

With this basic identity information, the operations team can establish a unique identifier system for each user, laying the foundation for subsequent cross-platform data integration and long-term tracking.

II. Demographic Profile: Gender, Age, and Skin Color Characteristics

TG's full-format filtering provides deeper user profile information in terms of demographic attributes:

• Gender recognition : Based on user profiles, avatar features, and other comprehensive factors, gender can be determined and can be used to distinguish the preference differences between male and female users.
• Age estimation : It helps determine the user's age range by using features such as profile picture and information, and distinguishes different age groups.
• Skin color characteristics : Skin color information can be identified based on headshots, which is of reference value for marketing campaigns targeting specific regional markets.
• Number of people in the profile picture : This identifies the number of people in the profile picture. A single profile picture usually indicates an individual user, while multiple profile pictures may indicate a family or team account.

The addition of demographic attributes expands user profiles from simple numerical identifiers to more concrete human characteristics.

III. Visual Dimension Upgrade: Avatar Types and Avatar URLs

TG's full-format filtering has been greatly expanded in the visual dimension, extending the judgment of account activity from pure data to image recognition:

• Profile picture detection : This feature identifies whether an account has set a profile picture. Users with profile pictures usually mean that they have logged in at least once and completed the basic settings.
• Avatar type recognition : AI algorithms help determine the type of avatar, distinguishing it into different categories such as real photos, default avatars, cartoon characters, landscape pictures, and brand logos.
• Profile picture URL : Automatically captures and outputs the complete URL link of the current profile picture for each account, which is convenient for operators to manually review or conduct secondary analysis.
• Correlation analysis between skin color and number of profile pictures : Combining skin color, number of profile pictures, and profile picture type can further determine the authenticity of the account and the usage scenario.

The addition of a visual dimension provides a completely new basis for assessing account quality.

IV. Core Activity Metrics: User Real Time and Number of Active Days

TG's full-format filtering provides the most crucial indicators for evaluating activity levels:

• User Real Time : Accurately records the timestamp of the user's last online session, and supports filtering accounts that have not logged in recently at the daily granularity.
• Active Days Statistics : Outputs login days statistics for the past 7 days, 30 days, and 90 days, helping to distinguish between high-frequency users, regular users, and inactive users.
• Activity level classification : Based on the combination of real time and number of active days, users can be divided into different levels such as high-frequency activity, normal activity, low activity, and inactive.

Activity metrics are the core basis for screening high-value users.

V. How to achieve full-format filtering in TG using ITG full-domain filtering?

All of the above-mentioned detection capabilities are integrated into the ITG full-domain screening platform, allowing for complex data analysis to be completed with simple operations:

• One-click upload : Users only need to upload a list file containing phone numbers, and the platform will automatically start the detection process.
• Fully automated processing : The system backend makes batch API calls to complete multi-dimensional data capture and analysis for each account.
• Structured output : After the detection is complete, an Excel table containing all the above fields is automatically generated, and the results are clear and readable.
• Batch Export : Filtered results can be exported with one click and directly used for subsequent additions or mass sending operations.

With ITG's full-domain screening, the operations team can easily complete batch detection and multi-dimensional analysis of millions of numbers without needing technical development capabilities.

Conclusion

In today's Telegram landscape, where operations are shifting from incremental growth to user retention, user quality is far more valuable than quantity. ITG's comprehensive filtering service offers a complete data foundation for teams to build high-value user profiles, utilizing over ten dimensions including phone number, UserId, profile picture, and active days. From identity verification to activity assessment, each dimension makes filtering more precise. For teams pursuing refined operations, ITG's comprehensive filtering service is a crucial step in moving from a "broad net" approach to a "precision catch."