Looking for effective WhatsApp group messaging? What are some practical techniques for foreign trade customer acquisition channels?

Through intelligent filtering based on unused numbers, active status, and online time, you can easily eliminate invalid accounts, ensuring cleaner marketing data and helping operations teams accurately target potential customers. The system offers self-screening, proxy screening, and detailed filtering modes, allowing flexible filtering by profile picture, nickname, mobile number, and area code to meet the marketing needs of different business scenarios.

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often takes days or even weeks, and by the time a marketing campaign launches, some of the original data is already outdated.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.No One Responds to Your Pushes? WhatsApp Account Screening Targets Highly Active Customers to Boost Interaction Efficiency!

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