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Best Practices for Data Analysis and Improvement with Moj Number Filtering

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ITG's competitive advantage lies in its machine learning models, which are trained on over 1 billion data points, continuously learn and evolve autonomously, have industry-leading prediction accuracy, and adapt to various scenarios.

Identify "risky accounts" that have been banned by WhatsApp, have received numerous reports, or have abnormal device activity, to prevent your marketing accounts from being implicated due to association with these risky accounts.It can accurately identify virtual numbers such as Google Voice and TextNow, as well as temporary registration numbers from India and Southeast Asia. The user activity rate of these numbers is less than 5%, and filtering them can significantly improve the quality of ad delivery.

Best Practices for Data Analysis and Improvement with Moj Number Filtering

ITG Global Screening, a global WhatsApp screening platform, has customized exclusive screening rules for key markets that businesses are focusing on developing by 2025, including the United States, India, Southeast Asia, and Europe.Based on the rules of different countries, the system automatically completes the country code and verifies the number length (e.g., 10 digits + country code for the United States, 10 digits + country code for India) to avoid omissions in the filtering process due to formatting errors.By combining the target market's time zone, the system identifies users' core active time periods (e.g., US users are most active between 7:00 PM and 10:00 PM, while Indian users are most active between 10:00 AM and 1:00 PM and between 7:00 PM and 9:00 PM), helping businesses choose the optimal time to advertise.

Best Practices for Data Analysis and Improvement with Moj Number Filtering

In response to the "multi-account switching" characteristic of the Indian market, the system identifies "primary accounts" (highly active and linked to real information) and "secondary accounts" (lowly active and used temporarily), prioritizing the primary account for marketing campaigns. In response to the "GDPR compliance requirements" of the European market, the system automatically filters out accounts that are not authorized to receive marketing messages.In 2025, a foreign trade company used ITG's region-adaptation function to filter users who were "in Mumbai, India + main account + highly active in the past 7 days". The subsequent WhatsApp marketing inquiries increased by 2.5 times compared to before, and fully complied with local compliance requirements.

Best Practices for Data Analysis and Improvement with Moj Number Filtering

ITG's comprehensive screening is not just a "screening tool," but also a "user profile generator" for WhatsApp marketing in 2025. It uses AI technology to extract multi-dimensional tags, making precision marketing simpler.

By identifying user avatars, nicknames, and registration information, the system can determine gender (male/female) and age group (18-25, 26-35, 36-45), helping businesses target their demographics.The system supports unified account management across multiple platforms, allowing for bulk filtering of social media accounts such as Telegram, WhatsApp, Facebook, and LinkedIn to maximize marketing efficiency.

Combining age, gender, and activity level filtering, the system precisely targets user groups, making social media marketing more efficient and achieving higher conversion rates.The cloud-based control system automatically removes unused and anomalous accounts to ensure clean marketing data, while also integrating interactive filtering to enhance marketing precision. The system can filter accounts by online time, device status, and interaction frequency, allowing operations teams to monitor high-value user activity in real time and optimize marketing strategies.

Batch export of filtering results allows for easy management of Telegram, WhatsApp, LinkedIn, and Facebook accounts, making teamwork more efficient and data more transparent.The cloud control system offers customized modes for flexible filtering by age, gender, activity level, and interaction frequency, meeting the marketing needs of various business scenarios.

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