Paytm Data Analysis of User Behavior

For example, when promoting maternity and baby products in the European market, if you cannot filter out users who are "women aged 25-35 + highly active + interested in maternity and baby topics", you can only target them indiscriminately, resulting in poor conversion rates.

Want to maximize the effectiveness of your social media marketing efforts? The system combines interaction and online filtering to quickly identify potential users and achieve precise reach.Is your marketing team lacking accurate data? The cloud control platform offers customized filtering solutions to target customers by age, gender, and activity level.

Having trouble managing multiple accounts in batches? The system supports exporting filtering results for unified management across Telegram, WhatsApp, LinkedIn, and Facebook.Is managing international campaigns difficult? The cloud control system generates mobile phone numbers for multiple regions and, combined with account activity analysis, precisely targets potential customers in every corner.Is traditional marketing wasteful? The system automatically eliminates low-activity accounts. Combining proxy and self-screening modes ensures cleaner data and more efficient operations.

Want to increase social media activity? The cloud control system filters high-value users based on interaction frequency and online time, making social media marketing both precise and effective.Want to precisely target potential customers? The system supports multi-dimensional filtering based on age, gender, interaction frequency, and online time, ensuring every marketing campaign is effective.

Is filtering through a large number of accounts difficult? The cloud control platform supports self-screening, proxy screening, and detailed screening modes for efficient batch account management, saving your team time.

Want precise ad targeting? The system combines active and active filtering to understand user online patterns in real time and optimize ad delivery effectiveness.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.