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Use Telegram's offline time filtering tool to understand user online activity in different regions.
Moj Detection and Filtering2025-11-03 13:14:36【encyclopedia】6 人已阅读
简介Filtering highly active users by frequency of interaction and online time allows for targeted social media promotions and improved conversion rates.
Filtering highly active users by frequency of interaction and online time allows for targeted social media promotions and improved conversion rates.
Customer status changes dynamically. A number that was valid last month may have been shut down this month, and a user who was active last week may have uninstalled the app this week.The manual telegraph screening process often takes days or even weeks, and by the time a marketing campaign launches, some of the original data is already outdated. This data lag directly results in a significant proportion of marketing messages failing to reach their target users.

In today's digital marketing era, accurately positioning target user groups has become the key to a company's successful customer acquisition.An efficient WhatsApp number screening system can not only significantly improve work efficiency, but also help companies accurately distinguish between male and female user groups and achieve personalized marketing.Many companies are still using manual screening, which is not only inefficient but also has many limitations.

A skilled customer service representative can only handle the screening of 200-300 numbers a day, and is prone to misjudgment due to visual fatigue in the process.When an enterprise needs to process tens of thousands of user data, manual screening methods obviously cannot meet the timeliness requirements.

As a professional WhatsApp number screening tool, ITG Global Screening is redefining the standards of the number screening industry with its excellent performance and intelligent processing capabilities.
The system will not only analyze basic data such as the user's account information and personal profile, but will also make comprehensive judgments through deep learning algorithms, combining multiple dimensions such as the user's social behavior characteristics, language usage habits, interests and hobbies.It supports batch management of Telegram, WhatsApp, Facebook, and LinkedIn accounts, combining age, gender, and activity level filtering for efficient operations.
The system automatically removes unused and abnormal accounts, combining self-screening and proxy filtering to improve data quality and facilitate precision marketing.The cloud control system supports active, online, and duration filtering, allowing marketing teams to understand target account activity patterns and optimize campaign effectiveness.
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.The cloud control system supports batch generation of mobile phone numbers for Japan, India, Mexico, and the United States, leveraging account activity and engagement to achieve targeted cross-platform outreach.
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