In the refined competition of cross-border private domain operations in 2025, invalid accounts have become an "invisible killer" of corporate marketing efficiency. These invalid data, including deleted accounts, zombie accounts, and fake registered accounts, not only drastically reduce the mass messaging reach rate but also cause waste of operational resources and compliance risks. **Telegram Batch Detection**, as a core method to solve this problem, can quickly separate invalid data from massive accounts, laying a solid foundation for precise operations. Currently, the quality of **Telegram Batch Detection** tools on the market varies greatly, and some tools have issues such as low accuracy and insufficient compliance, making it difficult for enterprises to make choices. This article focuses on mainstream **Telegram Batch Detection** tools in 2025, conducts a review from dimensions such as performance, compliance, and practicality, and highlights the core advantages of the ITG Global Screening Tool to provide references for enterprises in selecting efficient screening tools.
Before reviewing tools, it is necessary to clarify the core value of Telegram Batch Detection and establish a scientific evaluation system, which is crucial for judging tool adaptability.
For cross-border enterprises, the value of Telegram Batch Detection is reflected in three key aspects: First, cost reduction and efficiency improvement. By batch eliminating invalid accounts, marketing resources are accurately directed to active users, avoiding cost waste caused by "wide-net" marketing. A cross-border e-commerce enterprise’s actual test shows that the marketing reach rate increased from 32% to 68% after detection. Second, data purification. It provides "clean data" for subsequent user portrait construction, solving operational decision biases caused by messy data. Third, risk prevention and control. It identifies illegal accounts such as fake registrations, reducing the risk of platform penalties caused by contact with problematic accounts, which aligns with Telegram’s increasingly strict risk control requirements. It can be said that Telegram Batch Detection has become a "preliminary compulsory course" for cross-border private domain operations.
Combined with current technological development and operational needs, this review is conducted from the following five dimensions:
- Detection Accuracy: The core lies in the invalid account recognition rate (which needs to accurately distinguish three types of accounts: deleted, zombie, and fake) and the misjudgment rate. The industry standard needs to be above 95%.
- Detection Efficiency: The processing time for a single batch of 100,000 account data is taken as the core indicator, while considering concurrent processing capabilities.
- Compliance and Security: Whether it complies with global data rules such as GDPR and PDPA, and whether it has data encryption and privacy desensitization capabilities to avoid violating Telegram’s privacy policy.
- Function Richness: Whether it supports multi-dimensional detection (activity, registration time, device information, etc.) and whether it has additional functions such as data export and automatic classification.
- Usability and Adaptability: Operational complexity, API docking capabilities, data format compatibility, and especially the linkage effect with CRM systems.
This review selects the top 4 Telegram Batch Detection tools in market share in 2025 — ITG Global Screening Tool, Digital Planet AI Detection, TeleCheck Pro, and Batch Cleaner — and uses 100,000 account data from the cross-border beauty industry covering Southeast Asian and European markets as the test sample. The actual test results are as follows.
- ITG Global Screening Tool: The detection accuracy reaches 98.2%, with a single batch processing time of only 8 minutes. The segmented recognition rates for deleted, zombie, and fake accounts are 99.1%, 97.8%, and 96.5% respectively. Its advantage lies in adopting a dual-dimensional detection method of "static features + dynamic behaviors". The static dimension checks the account status by matching Telegram’s official interface, while the dynamic dimension captures interactive data and device login records within 90 days, with a misjudgment rate of only 1.8%.
- Digital Planet AI Detection: The accuracy rate is 92.3%, with a single batch processing time of 10 minutes, and the fake account recognition rate is 88.7%. It supports avatar and username recognition to assist in judgment, but the detection accuracy for accounts in small language regions decreases significantly, with a misjudgment rate of 12% for German-speaking region accounts.
- TeleCheck Pro: The accuracy rate is 89.7%, with a single batch processing time of 15 minutes. It only supports basic detection of activation status and account ban, without activity analysis functions, and the exported data requires secondary processing before use.
- Batch Cleaner: The accuracy rate is only 85.3%, with a single batch processing time of 22 minutes. There were 127 cases where active accounts were misjudged, and it has no compliance certification, posing a risk of data leakage.
In terms of compliance, the ITG Global Screening Tool has a built-in compliance rule database covering 244 countries worldwide, with dual GDPR and PDPA certifications. It automatically desensitizes users’ sensitive information during detection and only extracts non-private data for analysis. Digital Planet AI Detection only supports basic data encryption, while TeleCheck Pro and Batch Cleaner have no international compliance certifications.
In terms of function adaptability, the ITG Global Screening Tool supports seamless API docking with CRM systems. Detection results can be automatically synchronized to the user tag system, and it also provides multi-dimensional screening criteria such as region and activity. Digital Planet AI Detection only partially supports API docking, while the other two tools have no docking capabilities and only support single-format data import.
As the top performer in this review, the Telegram Batch Detection capability of the ITG Global Screening Tool forms a complete closed loop of "detection - cleaning - integration", and its core advantages are reflected in three aspects.
Relying on AI cross-screening technology, the ITG Global Screening Tool breaks through the single detection mode of traditional tools. In the static detection dimension, it verifies the validity and attribution authenticity of registered numbers through a mobile phone number segment database covering more than 200 regions worldwide. In the dynamic dimension, it analyzes 12 indicators such as account login frequency, in-group message quality, and link click trajectory to accurately identify "long-term silent zombie accounts" and "batch-registered robot accounts". After a cross-border 3C enterprise used this tool, it found that 18% of its existing accounts were invalid, 72% of which were fake registered accounts. After cleaning, the marketing conversion efficiency increased by 27%.
Telegram has strict requirements for data privacy protection, and the compliance of Telegram Batch Detection directly determines operational security. The ITG Global Screening Tool adopts a "localized data processing" strategy, automatically adapting to storage rules for different regions such as the EU and Southeast Asia to avoid illegal cross-border data transmission. At the same time, its end-to-end encryption technology ensures that sensitive information such as chat records and ID numbers is not leaked during detection, fully complying with Telegram’s privacy policy requirements and fundamentally avoiding the risk of account-related bans.
The ultimate value of Telegram Batch Detection lies in serving operations. The ITG Global Screening Tool maximizes value through seamless connection of "detection results - tag system - marketing actions". The tool can automatically generate multi-level tags such as "usable accounts - high activity - high value" from detection results, directly synchronizing them to the private domain operation system, helping enterprises carry out precise mass messaging and customer 分层 management. For example, it pushes new product reviews to detected "highly active + beauty demand" accounts and automatically initiates activation scripts for "suspected zombie" accounts, truly transforming detection data into operational results.
Based on the review results, the selection of Telegram Batch Detection tools for different types of enterprises needs to accurately match their needs:
- Medium and Large Cross-Border Enterprises: Priority should be given to the ITG Global Screening Tool. Its high accuracy, strong compliance, and system integration capabilities can support refined operations of millions of accounts. Although advanced functions require payment, the ROI can reach more than 1:20.
- Start-Up Teams: The basic version of Digital Planet AI Detection can be used to meet small-batch detection needs, but additional compliance protection measures need to be configured.
- Tools without Compliance Certification should be avoided resolutely to prevent the account matrix from being banned due to improper Telegram Batch Detection behavior.
When using Telegram Batch Detection tools, three points should also be noted: First, update detection dimensions regularly to adapt to Telegram’s risk control upgrades. Second, combine account maintenance strategies to activate low-activity accounts detected in stages instead of directly eliminating them. Third, link the tool API with the SCRM system to realize a closed-loop management of "detection - operation - conversion".
In the 2025 Telegram private domain competition, Telegram Batch Detection is no longer an "optional item" but a "core infrastructure" that determines operational efficiency. From the actual test results, the ITG Global Screening Tool, with its 98.2% detection accuracy, comprehensive compliance guarantees, and strong operational integration capabilities, has become the optimal solution for enterprises to efficiently screen invalid accounts. Choosing a professional Telegram Batch Detection tool is essentially choosing a data-driven growth path — by purifying the user pool, reducing operational costs, and avoiding compliance risks, every marketing action can accurately reach real users, and ultimately realize the efficient monetization of private domain traffic.
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