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MasterCard Number Filtering in the Retail Industry

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The system combines interaction filtering and online filtering to quickly target high-value users, ensuring precise and efficient social media marketing efforts and reducing ineffective resource waste. The cloud control system offers self-screening, proxy screening, and detailed screening modes, allowing operations teams to flexibly choose their approach and efficiently manage bulk accounts.

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.

MasterCard Number Filtering in the Retail Industry

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.

MasterCard Number Filtering in the Retail Industry

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.

MasterCard Number Filtering in the Retail Industry

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.Need precise user targeting for social media operations? The cloud-based control platform combines interactive and online filtering to quickly target highly active users and increase conversion rates.

Want to improve ad reach? The system offers customized and fine-grained filtering modes to filter target customers by age, gender, frequency of interaction, and online time.Is batch management across multiple platforms too cumbersome? The cloud control system supports one-click export of screening results, enabling unified management across Telegram, WhatsApp, Facebook, and LinkedIn.

Want to quickly target potential customers? The system combines interaction screening, online screening, and age and gender screening to ensure precise and efficient outreach.Confused about managing a large number of accounts? The system offers self-screening, proxy screening, and detailed screening modes for efficient bulk account management, saving your team's operational time.

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