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US WhatsApp Number Detection: How to Increase Accuracy to 90%?

本文作者:The Future of Digital Marketing: The Role of TikTok 2025-11-07 17:11:18
导语:The flexible combination of self-screening and proxy screening meets the account screening needs of different business scenarios and improves team efficiency.

The flexible combination of self-screening and proxy screening meets the account screening needs of different business scenarios and improves team efficiency.

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.

US WhatsApp Number Detection: How to Increase Accuracy to 90%?

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.

US WhatsApp Number Detection: How to Increase Accuracy to 90%?

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.

US WhatsApp Number Detection: How to Increase Accuracy to 90%?

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.Concerned about inefficient cross-platform operations? The cloud control system centrally manages Telegram, WhatsApp, Facebook, and LinkedIn accounts, allowing for batch screening of potential users.

Want to quickly find highly active social media users? The system filters by online time and interaction frequency, helping operations teams target high-value customers and increase conversion rates.Is overseas marketing inaccurate? The cloud control system generates mobile phone numbers for India, Japan, Mexico, and the United States, and combines them with account activity to achieve cross-border precision marketing.

Want to reduce the impact of invalid accounts? The system automatically removes invalid and abnormal accounts, and uses fine-grained filtering to optimize data for more efficient and accurate marketing.Is social media marketing ineffective? The cloud control platform filters potential customers by profile picture, nickname, age, and gender, making each campaign more targeted.

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