Jupiter Shop Channel extends analysis and uncovers new insight with Oracle PaaS
Jupiter Shop Channel gains deeper insight into target segment and optimizes web marketing campaigns with Oracle Data Visualization Cloud Service
Previously, Jupiter Shop Channel received the majority of customer orders via the call center. This resulted in disparate data sources for customer information, orders, and website traffic, creating challenges to optimize marketing strategies. With rapid growth of smartphone users, Jupiter Shop Channel wanted to improve customer engagement by making it easier to perform comprehensive data analysis and support target campaigns.
“By leveraging the intuitive and powerful Oracle Data Visualization Cloud Service, we can easily scale and perform complex data analysis without specialized knowledge or IT resources. The automatic data-blending feature also allows us to quickly gain new insights and enhance campaign strategy.”
业务挑战
Construct a versatile and private data management platform to easily scale more comprehensive analysis, such as clustering and association analysis, for web marketing
Gain ability to evaluate the effectiveness of email marketing by multiple dimensions, such as devices used, brands, and popular apps, and support a more targeted marketing strategy for the TV-shopping channel
Provide an intuitive yet powerful analytics tool for users to easily conduct complicated data analysis without IT involvement
Oracle Data Visualization Cloud Service offers intuitive but powerful visual analytics for users to extend complicated analysis without IT resources. Its flexibility to connect different data formats, such as Excel and CSV, and use desktop and cloud versions were also important.
成果
Optimized online marketing by adopting Oracle Data Visualization Cloud Service to improve cross sell opportunities, such as discovering the customer groups with purchasing history in different food products—including premium ingredients, healthy food, and fashion brand items—without high licensing and maintenance costs
Supported target campaigns for the shopping channel by automatically blending and presenting various data sets, such as revenue, unit price, repeated purchase, and net new customers for each brand, in graphical formats and enabling users to quickly identify the segments most likely to respond and purchase products via email marketing
Uncovered insight into the performance of different sales promotion email formats—including plain text and HTML—and mobile apps by leveraging powerful search, guided navigation, and filtering features to analyze and visualize the shopping pattern by devices (PC, smartphone, and tablet) and the apps used to complete customer orders
Allowed users to simply drag and drop attributes and view the best visualization for complex analysis without data science knowledge or IT department involvement to build a database
Gained insights into the different trends of local customers in each region by connecting and combining sophisticated geodata from multiple sources with Oracle Data Visualization Cloud Service and Oracle R Distribution
Enhanced collaboration by gaining ability to easily capture insights for online marketing as visual stories and securely share with other users to add comments or highlight key points
Improved user experience by gaining free desktop edition and providing the flexibility to use both desktop and cloud versions based on the workload, such as using desktop edition for sensitive data requiring higher security or data coupling