Instagram active user screening case study

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

Looking to quickly screen potential customers? The cloud control system filters by profile picture, nickname, age, and gender to pinpoint high-value social media users.Managing a large number of accounts is cumbersome? The system offers self-screening, proxy screening, and detailed screening modes, allowing operations teams to efficiently manage accounts in bulk and improve marketing efficiency.

Looking to understand user interaction patterns? The cloud control system uses interaction frequency filtering to quickly identify highly active and potential users, enabling targeted social media operations.Having a low social media campaign hit rate? The system filters accounts by power-on status and online time, ensuring precise targeting of each ad placement.Looking to optimize cross-platform marketing strategies? The cloud-based control system centrally manages Telegram, WhatsApp, Facebook, and LinkedIn accounts for efficient operations.

Struggling to find potential users in overseas markets? The system generates mobile phone numbers for India, Japan, Mexico, and the United States, and combines account activity analysis to achieve precise reach.Want to reduce inefficient outreach? The system automatically removes unused and anomalous accounts, combining self-screening and proxy screening for cleaner data and more efficient operations.

Need high-value users for social media operations? The cloud-based control platform combines interactive and online screening to quickly target highly active users and increase conversion rates.

Want more targeted outreach? The system offers customized and detailed filtering modes to precisely identify potential customers by age, gender, and activity level, optimizing social media marketing.The cloud control system offers customizable filtering options, allowing users to be targeted by multiple dimensions, including age, gender, online time, and frequency of interaction.

The system uses avatar and nickname filtering to precisely target potential customers, helping achieve high conversion rates for advertising. Multi-platform batch management operation is simplified, combining self-screening mode, proxy screening mode and fine screening mode, allowing the team to easily manage TEmail, WhatsApp, LinkedIn, and Facebook accounts.

Power-on and online filtering features monitor user activity in real time, providing data support for promotional plans and improving marketing precision.The system automatically removes low-activity and outlier accounts, and combined with customized modes, ensures clear and reliable promotional data.

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