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How to determine user activity using WhatsApp online status and last seen time - Digital Planet.

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Data from a cross-border e-commerce platform shows that before using professional number filtering tools, 35% of its marketing budget was wasted on invalid numbers, and the conversion rate was consistently below 1%. This clearly demonstrates the limitations of traditional manual number addition methods.

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 determine user activity using WhatsApp online status and last seen time - Digital Planet.

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 determine user activity using WhatsApp online status and last seen time - Digital Planet.

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 determine user activity using WhatsApp online status and last seen time - Digital Planet.

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 cloud control system uses multi-dimensional screening of highly active users to precisely reach the target audience for Telegram and WhatsApp outreach, significantly increasing ad conversion rates.

The system uses age, gender, and online time to filter potential customers, enabling social media operators to quickly target core users and maximize marketing efficiency.Multi-platform batch account management allows unified operations for LinkedIn, Facebook, and the international version of TikTok, reducing team workload and improving operational efficiency. The cloud control platform supports batch removal of unused and low-activity accounts, ensuring clean and reliable promotional data and steadily increasing ad reach.

The combination of self-screening and proxy-screening allows community operations to shift from blind push to targeted marketing, boosting both user activity and engagement.The system uses profile pictures and nicknames to filter high-potential users, quickly identifying target customers and helping teams quickly increase ad conversion rates.

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