I. The "Invisible Minefield" of Cross-Border Operations: Four Major Hazards of High-Risk Telegram Numbers
- Compliance ban risk: Pushing content to violating accounts or spam marketing accounts may trigger Telegram's platform risk control rules, resulting in restrictions on enterprise operational accounts or even permanent bans; a cross-border e-commerce company failed to conduct high-risk Telegram number screening and reached a customer pool containing 20% high-risk numbers in one go, directly leading to the ban of its main operational account and a loss of over one million yuan in orders;
- Fraudulent transaction risk: Fraudulent accounts and hacked accounts disguise themselves as potential customers to participate in marketing activities, which may involve malicious brushing, coupon fraud, after-sales extortion, and other behaviors, bringing direct economic losses to enterprises;
- Brand reputation risk: High-risk numbers may spread negative information, make malicious complaints, or use enterprise marketing content for secondary violating dissemination, damaging the brand's credibility in overseas markets;
- Resource waste risk: Batch-registered accounts and zombie accounts cannot generate real conversions but consume marketing budgets and labor costs, leading to low operational efficiency and a serious imbalance in the input-output ratio.
II. Full Process of High-Risk Telegram Number Screening: A Five-Step Closed Loop from Identification to Implementation
(I) Clarify the Definition Standards for High-Risk Numbers
- Violating type: Accounts involving spam marketing, pornography, violence, politically sensitive content, or marked as "high-risk" by the Telegram platform;
- Fraudulent type: Accounts with hacking records, malicious complaint history, fake transaction behaviors, or associated with fraud cases;
- Abnormal type: Accounts registered in batches (multiple accounts registered with the same IP/device), frequently changing login devices/regions, or with blank/false account information;
- Invalid type: Zombie accounts that have not logged in for a long time, been cancelled, or reported multiple times but not processed.
(II) Multi-Dimensional Data Collection and Cross-Verification
- Official platform data: Access Telegram's open interfaces to obtain basic data such as account compliance status, complaint records, and risk control marks;
- Behavioral trajectory data: Collect login frequency, interactive behaviors, chat content keywords, marketing participation records, etc., to judge whether there are abnormalities;
- Third-party risk control data: Integrate cross-border risk control databases to match fraudulent account blacklists and violating account libraries, supplementing risk identification dimensions.
(III) Intelligent Screening and Risk Grading
- High risk: Accounts directly identified as violating or fraudulent are immediately eliminated, and any operational reach is prohibited;
- Medium risk: Accounts with abnormal behaviors but no clear violations are restricted from participating in high-value marketing activities and subject to key monitoring;
- Low risk: Accounts that meet compliance, authenticity, and activity standards are included in the normal operational customer pool.
(IV) Hierarchical Processing and Operational Adaptation
- High-risk numbers: Directly deleted from the customer pool, synchronized to the enterprise blacklist, and permanent reach is prohibited;
- Medium-risk numbers: Only push low-sensitivity brand information, do not provide high-value benefits such as coupons and flash sales, and continuously monitor behavioral changes;
- Low-risk numbers: Conduct normal precision marketing and personalized services to maximize conversion value.
(V) Dynamic Update and Cycle Optimization
- Daily incremental screening: Conduct real-time risk detection on newly acquired Telegram numbers to avoid adding new high-risk accounts;
- Weekly existing data re-screening: Conduct secondary screening on existing numbers in the customer pool to update risk levels;
- Monthly strategy optimization: Adjust screening dimensions and risk judgment standards based on screening results, operational feedback, and platform rule changes to improve screening accuracy.
III. Core Dimensions of High-Risk Telegram Number Screening: Four Indicators for Precise Risk Identification
(I) Account Compliance Indicators
(II) Account Authenticity Indicators
(III) Behavioral Abnormality Indicators
(IV) Associated Risk Indicators
IV. Tool Empowerment: ITG Global Screening, a Risk Control Tool for High-Risk Telegram Number Screening
- Multi-dimensional precise identification: ITG Global Screening integrates more than 16 detection indicators across four dimensions (compliance, authenticity, behavioral abnormality, and associated risk), with an accuracy rate of 99.3% in identifying high-risk Telegram numbers, accurately eliminating various dangerous accounts;
- Batch efficient processing: Supports batch screening of tens of millions of Telegram numbers, completing full-dimensional detection of 2 million+ numbers within 1 hour. The efficiency is 1000 times higher than manual work, adapting to the large-scale operational needs of cross-border enterprises;
- Cross-border compliance adaptation: Compatible with Telegram account rules in more than 180 countries and regions worldwide, adapting to the compliance requirements of different markets, and supporting multi-language keyword detection (such as sensitive content, spam marketing scripts) to avoid regional compliance risks;
- Blacklist linkage update: Built-in real-time updated global cross-border risk control blacklist library, including fraudulent accounts, violating accounts, hacked accounts, etc., which can be automatically matched and screened to avoid known risks in advance;
- Lightweight integration application: Seamlessly connects to enterprise CRM and marketing automation systems, synchronizes screening results in real time, automatically marks account risk levels, and realizes full-link closed-loop management of "screening - operation - risk control".
V. Key Implementation Points of High-Risk Telegram Number Screening: Three Keys to Building a Solid Risk Control Line of Defense
- Prioritize preventive screening: Embed high-risk Telegram number screening at the forefront of customer acquisition and marketing launch, and conduct risk detection on new numbers before they are added to the database to block risks from the source;
- Dynamically adjust risk levels: Real-time optimize risk level judgment standards according to platform rule changes, market environment, and operational feedback to avoid the loss of valid customers due to "one-size-fits-all" policies;
- Ensure data security and compliance: Strictly comply with data protection laws and regulations of the target market (such as GDPR) during the screening process, ensuring the compliance of user data collection, storage, and use to avoid additional compliance risks.
VI. Conclusion: High-Risk Telegram Number Screening, the "Safety Cornerstone" of Cross-Border Operations
The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.
Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.
Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
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