Build marketing user profiles and corresponding enterprise user profiles to provide comprehensive user insights and sales behavior data for the marketing department. This data serves as a basis for precise marketing strategies. Simultaneously, provide a unified and comprehensive individual user profile for the sales department, including both front-end marketing interactions and back-end sales activities, as well as information about the company’s scale. This facilitates the sales team in implementing personalized outreach strategies for a diverse audience.
We achieved the fusion of Global and Local data, eliminating data gaps. This provided accurate data for subsequent import and integration of other channel data, assisting the client in completing their Big Move strategy. We integrated information related to doctors, hospitals, affiliations, organizational structure, and interaction behavior. Additionally, we inherited interaction data from on-site visits, virtual meetings, conferences, WeChat, emails, and web channels, resulting in a unified view of customer insights.
The implementation of data import and data modeling enhances the effectiveness of communication, improves the speed of feedback, and helps the sales team to be able to respond to the market quickly.
Developed a big data platform that provides customer-centric, multi-channel data, real-time data analysis, and customer behavior tracking services for Pfizer. This platform aims to enhance overall customer experience and loyalty by offering effective communication channels across all channels. It generates rapid and reliable predictions and provides personalized recommendations. Sales representatives can access customer interaction information from all channels at any time, allowing them to better understand and influence customers.
