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How to Personalize Social Media Marketing with DISCORD Number Filtering?

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Leveraging ITG's comprehensive screening platform, an excellent Telegram contact filtering tool, and utilizing multi-dimensional data analysis, automated tag generation, and dynamic trend analysis, potential customer insights can shift from "vague judgment" to "data-driven" approaches, injecting precise momentum into enterprise growth.

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.

How to Personalize Social Media Marketing with DISCORD 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.

How to Personalize Social Media Marketing with DISCORD 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.

How to Personalize Social Media Marketing with DISCORD 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 user activity filtering, online filtering, and time-of-use filtering, enabling operations teams to understand account activity patterns and deliver targeted advertising. The cloud control system offers both self-screening and proxy screening modes to meet the needs of various scenarios and enable efficient bulk account management.

The system supports international mobile phone number generation and screening, integrating social media account activity to achieve targeted global marketing and user resource integration.Through interactive, active, and online screening, you can quickly identify high-value users, making social media operations more efficient.

The cloud control system offers customized and granular screening modes to meet diverse business scenarios, making marketing strategies more flexible and precise.The system automatically detects unused and anomalous accounts, and filters based on age, gender, and activity level for cleaner and more effective marketing data.

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