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Based on the WhatsApp groups and interactions users follow, tags such as "Cross-border E-commerce Needs," "Maternal and Infant Care," and "Outdoor Sports Enthusiasts" are generated to make content recommendations more tailored to user needs.
Based on the WhatsApp groups and interactions users follow, tags such as "Cross-border E-commerce Needs," "Maternal and Infant Care," and "Outdoor Sports Enthusiasts" are generated to make content recommendations more tailored to user needs.
Having low conversion rates for social media marketing? The cloud control platform uses multiple filters based on profile pictures, nicknames, age, and gender to quickly target high-activity potential customers and improve marketing effectiveness.Having low cross-platform marketing efficiency? The system centrally manages Telegram, WhatsApp, LinkedIn, and Facebook accounts for efficient multi-channel marketing.

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Is social media promotion inaccurate? The cloud control system filters potential users based on frequency of interaction and online time, quickly targeting high-value customers and increasing conversion rates.
Is batch management of multiple accounts time-consuming? The system supports both self-screening and proxy screening, allowing your team to easily manage accounts across multiple platforms.The cloud control system supports batch management of Telegram, WhatsApp, LinkedIn, and Facebook accounts, and integrates interaction filtering to precisely target high-value users.
Using profile and nickname filtering, you can quickly identify potential customer groups, achieving targeted and high-ROI social media marketing.The system can filter accounts by user status and online time, providing real-time insights into the dynamics of highly active users, making advertising and social media operations more efficient.
The cloud control system supports self-screening, proxy screening, and customized modes, enabling batch screening of massive accounts and improving the efficiency of operations teams.The system combines multi-dimensional filtering based on age, gender, activity level, and interaction frequency to precisely target potential customers and enhance the effectiveness of social media marketing.
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