[Case Study] Marketing Optimization System
Analyze customer behavior data in real-time and automatically implement personalized measures!
We would like to introduce a case study of the development of a "Marketing Optimization System" at our company. During the development, we faced challenges such as the elimination of data silos and the design of a unified customer ID. In response to these challenges, we implemented a Customer Data Platform (CDP) and a stream analysis infrastructure (Kafka + Spark), and built AI-driven scoring and automatic optimization logic. 【Technical Challenges】 - Elimination of data silos and design of a unified customer ID - Ensuring scalability of the real-time analysis infrastructure - Designing automatic evaluation to accelerate the PDCA cycle *For more details, please download the PDF or feel free to contact us.
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**Main Achievements** ■ Ad Click-Through Rate: Improved by 20% after implementation ■ Campaign ROI: Average improvement of 25% ■ Segment Accuracy: Reduced classification error by 15% ■ A/B Testing of Measures: Increased monthly execution count by three times *For more details, please download the PDF or feel free to contact us.*
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For more details, please download the PDF or feel free to contact us.
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Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.