This article explains how to filter highly active users across Viber, Zalo, LINE, Telegram, Binance, and WhatsApp, including activity analysis, invalid number removal, and AI gender & age analysis for precise acquisition and marketing optimization.
The Importance of Cross-Platform User Filtering
In global marketing, user behaviors differ significantly across platforms. Viber, Zalo, LINE, Telegram, Binance, and WhatsApp users exhibit unique activity patterns. Without platform-specific filtering, businesses risk wasting advertising resources and lowering conversion efficiency.
High-Value User Filtering on Viber
Viber users are concentrated in Europe and Southeast Asia, preferring instant messaging and community interaction. By analyzing group participation frequency, message activity, and active periods, high-value users can be quickly identified for precise marketing campaigns.
Group Activity and Interaction Analysis
Quantifying discussion frequency and depth of participation in groups allows marketers to accurately pinpoint active users, providing a solid basis for campaigns.
Interest Tag Analysis
By analyzing user interests and community types, preferences can be inferred, allowing for customized marketing strategies and improved campaign conversion rates.
Zalo and LINE Active User Filtering
Zalo users are mainly located in Vietnam, while LINE users are mostly in Japan and Southeast Asia. By setting thresholds based on login frequency, message volume, and community participation, potential premium users can be efficiently identified.
Activity Threshold Setting and Tiering
Segmenting users by login frequency and message interaction prioritizes high-activity users, maximizing marketing ROI.
Duplicate and Anomalous Account Removal
Automated tools detect duplicates and abnormal behavior, ensuring accurate and reliable data for marketing purposes.
Binance User Filtering and Trading Behavior Analysis
Binance users are active on the trading platform. Filtering metrics include trading frequency, active periods, and asset behavior, prioritizing high-activity and high-trading-volume users.
User Segmentation and Potential Assessment
Segmenting users by trading activity, active periods, and community participation allows targeting high-potential users and optimizing marketing efforts.
Cross-Platform Behavior Analysis
Analyzing behavior across platforms predicts interests and needs, enabling precise marketing and higher conversion rates.
Telegram and WhatsApp Active User Filtering
Telegram users prefer encrypted communities and tech groups, while WhatsApp has global coverage. By analyzing activity, historical interactions, and group participation, high-value users can be efficiently identified.
Activity Analysis and Core User Selection
Combining historical interactions with group participation thresholds identifies core user segments, improving campaign effectiveness.
Invalid Number and Anomaly Removal
Automated detection of invalid numbers and anomalies ensures data accuracy and reliability for marketing purposes.
Data Cleaning and AI Gender & Age Analysis
Data cleaning is essential for multi-platform filtering, including invalid number removal, duplicate elimination, and anomaly detection. Coupled with AI gender and age analysis, marketers can segment users precisely and enable data-driven marketing strategies.
AI Gender and Age Prediction
AI algorithms analyze behavior to predict gender and age accurately, constructing precise user profiles and optimizing ad allocation to boost conversion rates.
SuperX — Enterprise-Level Multi-Platform Data Filtering
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The platform focuses on core use cases such as global phone number filtering, WhatsApp filtering, Telegram data validation, active number detection, AI-powered gender and age recognition, data cleaning, precision filtering, and user profiling. High-concurrency processing and intelligent algorithms enable businesses to quickly acquire real user data, optimize marketing campaigns, and reduce customer acquisition costs.
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The platform integrates with 200+ major platform ecosystems, supporting WhatsApp filtering, Telegram validation, LINE filtering, active number detection, invalid number removal, AI gender and age recognition, Google data scraping, and more. Supported platforms include WhatsApp, LINE, Telegram, Zalo, Facebook, Instagram, Twitter, Signal, Binance, Amazon, LinkedIn, TikTok, KakaoTalk, Coinbase, OKX, Discord, Google Voice, VK, Paytm, VNPay, and others.
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