Amazon mobile number data aggregation rules
According to industry data from 2025, the average inefficiency of WhatsApp numbers worldwide reached 52%, and even exceeded 60% in some emerging markets (such as Southeast Asia).
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.The cloud control platform combines interaction and online filtering to quickly identify high-activity potential customers, optimizing social media operations and advertising effectiveness.

Batch exporting screening results supports unified management of accounts across multiple platforms, enabling rapid execution and implementation of promotional tasks.The system filters potential customers by age, gender, interaction frequency, and online time, ensuring precise targeting of every social media promotion.

The cloud control system offers customized and granular filtering modes to flexibly meet diverse business needs and enable efficient account screening and management.
Multi-region mobile phone number generation combined with activity filtering enables targeted promotion in markets such as India, Japan, Mexico, and the United States.Through its three core capabilities—content recognition, behavior analysis, and intelligence sharing—it has built a 24/7 uninterrupted intelligent firewall, truly nipping community risks such as advertising and black market activities in the bud.
Achieving a 90% risk reduction is not an exaggeration, but an inevitable result of the empowerment of intelligent technology.Embracing intelligent management is not only a choice to improve efficiency, but also an inevitable strategy to ensure the long-term stability of the community.
In the fierce competition of Telegram community operations, the real value lies not in the simple accumulation of the number of members, but in the ability to accurately identify and activate those high-quality active users.Many administrators struggle with the "zombieification" of groups—a seemingly large number of members, yet only a handful are actively interacting. The key to overcoming this predicament lies in a deep understanding and effective use of Telegram screening functions.
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