Further Efficiency Breakthrough: ITG Full-Domain Filtering Launches TG Active Filtering Pro, Enhancing Batch Number Filtering Accuracy

In today's increasingly sophisticated community operations, the quality of Telegram friends directly impacts operational effectiveness. However, many teams face pain points when batch filtering: limited detection dimensions and unstructured data output make it difficult to guide subsequent strategies. To address these issues, ITG Global Filtering has launched the TG Active Filtering Pro feature, a comprehensive upgrade based on its original capabilities. This article will detail the core functions of TG Active Filtering Pro to help teams achieve more accurate and efficient batch filtering.

I. Basic Information Detection: Comprehensive Coverage from ID to Username

TG Activity Filter Pro has undergone comprehensive optimization in basic information recognition to ensure that the basic data of each account can be accurately captured:

• User ID Detection : Accurately identifies the unique identifier ID of each Telegram account, avoiding duplicates or omissions due to username changes.
• Username recognition : Supports multi-dimensional matching of current and historical usernames, ensuring effective association even if the account is renamed later.
• Account type identification : Differentiate between regular users, bots, channel or group accounts to help the operations team filter out genuine individual users.
• VIP Status Recognition : Telegram VIP membership identifier detection helps determine if a user is a paid subscriber, providing a reference for subsequent tiered operations.

This comprehensive coverage of basic information provides a reliable data foundation for subsequent activity level assessments.

II. Activity Assessment: A Two-Dimensional Approach Based on Offline Time and Number of Active Days

TG Activity Filter Pro has undergone in-depth optimization in activity assessment, using multi-dimensional data to comprehensively determine the true activity status of an account:

• User offline time detection : Accurately records the time of a user's last online session and filters out accounts that have not logged in recently.
• Active days statistics : helps distinguish between high-frequency users, regular users, and inactive users.
• • Activity Level Classification : Based on a combination of offline time and active days, different levels can be classified as high-frequency activity, normal activity, low activity, and inactive.

By assessing activity levels across two dimensions, the operations team can more accurately identify truly valuable user groups.

III. Account Health: Identification of Frozen Status and Abnormal Features

TG Activity Screening Pro adds more detailed dimensions to account health checks, helping operations teams avoid potential risks:

• Account Freeze Detection : Accurately identifies whether an account has been banned or frozen by the platform, avoiding resource waste caused by sending messages to invalid accounts.
• Anomaly detection : Based on username format, profile picture settings, and other dimensions, it helps identify potential bulk account registrations.
• Data integrity assessment : This checks whether the account has set an avatar and whether the username is in the default format, serving as an auxiliary basis for judging activity level.

The inclusion of these health metrics helps the operations team control account quality from the source.

IV. New Upgrade: Avatar URL Address Function Officially Launched

The biggest highlight of this upgrade to TG Active Filter Pro is the addition of an avatar URL capture function, providing richer visual dimensions for account profiling:

• Profile Picture URL Retrieval : Automatically retrieves and outputs the complete URL of the current profile picture for each account.
• Profile picture update detection : Identifies the time of the last profile picture update to determine the frequency with which the user maintains their account.
• Avatar type recognition : Differentiates between real photos, default avatars, cartoon characters, brand logos, and other different types.
• Profile picture change tracking : Supports comparison of historical profile picture URLs to understand the frequency and patterns of user profile picture changes.

The addition of the profile picture URL feature extends the assessment of account activity from a purely data-driven perspective to a visual one.
Users with real profile pictures who change them regularly tend to have higher activity levels and a greater willingness to interact; while accounts that consistently use the default profile picture or have no profile picture may be inactive or be accounts registered in bulk.

Conclusion

As community operations become increasingly sophisticated, the capabilities of account screening tools directly impact the upper limit of operational efficiency. ITG's newly launched TG Activity Screening Pro provides comprehensive monitoring of Telegram accounts, from basic information and activity assessment to health recognition and profile picture URL extraction. The addition of the profile picture URL function, in particular, makes the assessment of account activity more multi-dimensional. For teams seeking efficient operations, TG Activity Screening Pro offers a one-stop solution from detection to application, making batch account screening more accurate and efficient.