No One Responds to Your Pushes? WhatsApp Account Screening Targets Highly Active Customers to Boost Interaction Efficiency!

    In the era of digital marketing,How to Use Digital Planet to Check Social Media Accounts many enterprises face a frustrating problem: carefully prepared marketing content often falls on deaf ears after being pushed. The root cause of this issue usually lies in the lack of effective WhatsApp account screening. Professional WhatsApp account screening helps enterprises accurately identify highly active customers, thereby significantly improving interaction efficiency. This article will delve into how to achieve precise WhatsApp account screening using the ITG Global Screening tool, ensuring every push you send gets the desired response.

    Highly active customers typically have clear identifying features. These customers use WhatsApp for over 2 hours daily on average, frequently participate in group conversations, reply to messages promptly, and have highly complete account information. Through WhatsApp account screening, we can find that these customers stay online during specific time periods, actively use various functions, and have had their accounts registered for a long time.The commercial value of highly active customers is reflected in multiple aspects:Their marketing response rate is 5–8 times that of ordinary customers.Their conversion rate is 3–5 times higher than that of ordinary customers.They are more willing to share content and participate in interactions.They have higher brand loyalty and repurchase rates.

    Data shows that the cost of maintaining a highly active customer is far lower than that of acquiring a new customer, while the long-term value they bring is several times that of new customers. Therefore, identifying these customers through precise WhatsApp account screening helps enterprises maximize marketing effectiveness.

    ITG Global Screening has established a comprehensive multi-dimensional evaluation system. It comprehensively assesses account activity by analyzing over 20 indicators, including users’ online duration, message response speed, and group participation.

    Core identification technologies include:Real-Time Behavior Analysis: Dynamically tracks key indicators such as user login frequency and function usage.Intelligent Prediction Algorithm: Uses machine learning to predict users’ future activity trends.Multi-Dimensional Evaluation: Conducts a comprehensive score based on historical data and real-time performance.

    The most distinctive feature of this platform is its predictive capability. Based on users’ historical behavior data, the system can predict their future activity trends, allowing enterprises to identify potential customers who may remain highly active in advance. This forward-looking analytical capability provides an important basis for formulating marketing strategies.

(Editor: News)