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Activity Filtering: How Digital Planet Identifies High-Value Users in BulkCustomer status changes dynamically. A number that was valid last month may have been shut down this

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

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5 tips for digital marketing with Telegram in Vietnam

Activity Filtering: How Digital Planet Identifies High-Value Users in BulkHaving low conversion rates for social media marketing? The cloud control platform uses multi-dimensional screening based on profile pictures, nicknames, age, and gender to precisely target potential users and improve marketing effectiveness.

How to determine user activity using WhatsApp online status and last seen time - Digital Planet.Struggling to sift through a large number of accounts? The system uses age, gender, activity level, and online time to target users across multiple dimensions, improving the efficiency of social media marketing.

Using Twitter for Effective Number Screening and Digital Marketing

Struggling to sift through a large number of accounts? The system uses age, gender, activity level, and online time to target users across multiple dimensions, improving the efficiency of social media marketing.

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Using Twitter for Effective Number Screening and Digital Marketing

Struggling to sift through a large number of accounts? The system uses age, gender, activity level, and online time to target users across multiple dimensions, improving the efficiency of social media marketing.

Using Twitter for Effective Number Screening and Digital Marketing

Using Twitter for Effective Number Screening and Digital MarketingThe system automatically detects unused and anomalous accounts, and filters based on age, gender, an

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

Using Twitter for Effective Number Screening and Digital MarketingTraditional Telegram screening functions are often limited to security protection, with the main goal of filtering ads and blocking spam. However, this defensive screening method can only ensure the "security" of the community, but cannot improve the "activity" of the community.

It offers self-screening and proxy filtering modes, combining account data from multiple platforms to achieve efficient management and targeted campaigns for massive accounts. The system enables precise filtering by age, gender, interaction frequency, and online time, facilitating the implementation of social media marketing strategies.

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Wish user analytics-Wish user analytics

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