ICDSCE · Registering as Listener

International Conference on Data Science for Customer Experience

📅 30–1 Jul 2027 📍 Washington Dc, USA 👤 Standard / Listener

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$185

virtual · $185 in person

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Official invitation letterIssued automatically after registration
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Certificate & digital materialsCertificate, slides and resource materials
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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the application of predictive analytics techniques to enhance customer experience. Participants will explore methodologies for forecasting customer behavior and preferences through data-driven insights.

This session examines the role of data science in developing personalized shopping experiences in e-commerce. Discussions will include algorithms and frameworks that enable tailored recommendations and targeted marketing.

This track delves into sentiment analysis as a tool for understanding customer perceptions and brand reputation. Researchers will present innovative approaches to analyze customer feedback and social media interactions.

This session highlights techniques for mapping customer journeys using data analytics. Attendees will learn how to visualize and optimize touchpoints to improve overall customer satisfaction.

This track explores behavioral modeling techniques to predict and influence customer actions. Participants will discuss the integration of machine learning algorithms to enhance customer engagement strategies.

This session focuses on leveraging real-time data insights to optimize customer experiences. Experts will share case studies and frameworks that demonstrate effective experience enhancement.

This track investigates the development and implementation of recommendation systems in marketing strategies. Discussions will center on algorithms that drive customer engagement and conversion rates.

This session emphasizes the importance of data-driven strategies in fostering customer engagement. Participants will explore various analytical tools and techniques that inform effective engagement practices.

This track examines the integration of machine learning technologies in enhancing customer experience. Researchers will present innovative applications that improve service delivery and customer satisfaction.

This session focuses on identifying and measuring key metrics that define customer experience success. Attendees will learn about frameworks for evaluating performance and driving continuous improvement.

This track explores advanced techniques for customer profiling and segmentation using data analytics. Participants will discuss methodologies that enable targeted marketing and personalized customer interactions.