Course Overview
Retail and e-commerce generate vast amounts of data that, when analyzed effectively, drive profitability and customer loyalty. This Retail and E-Commerce Data Analytics Training Course introduces participants to data-driven techniques for improving marketing, sales, operations, and customer engagement.
Participants will explore customer segmentation, personalization strategies, sales forecasting, and digital performance analytics. Real-world case studies and hands-on exercises will show how global leaders in retail and e-commerce use data to deliver competitive advantage and long-term success.
By the end of the course, attendees will be prepared to apply data analytics to optimize customer journeys, improve business performance, and create innovative retail strategies.
Course Benefits
Analyze customer behavior and purchasing patterns
Build accurate sales forecasts with data models
Improve personalization and targeting strategies
Optimize digital marketing and campaign performance
Drive business growth with data-driven insights
Course Objectives
Explore analytics applications in retail and e-commerce
Apply customer segmentation and predictive analytics
Use data to optimize pricing, promotions, and sales
Build strategies for personalization and loyalty
Analyze marketing and digital performance metrics
Integrate AI and ML into retail and e-commerce strategies
Ensure ethical use of customer data and privacy compliance
Training Methodology
This course blends lectures, industry case studies, hands-on labs, and group discussions. Participants will analyze real-world retail and e-commerce datasets to develop actionable insights.
Target Audience
Retail and e-commerce managers
Marketing and sales professionals
Data analysts and BI specialists
Business leaders driving digital transformation
Target Competencies
Retail and e-commerce analytics
Customer segmentation and personalization
Sales forecasting and optimization
Digital performance measurement
Course Outline
Unit 1: Introduction to Retail and E-Commerce Analytics
Role of data in retail and online business
Key metrics for retail and e-commerce success
Benefits and challenges of digital analytics
Case studies of analytics-driven retail strategies
Unit 2: Customer Behavior and Segmentation
Understanding customer journeys in retail and online shopping
Applying behavioral and demographic segmentation
Predictive analytics for customer insights
Practical segmentation exercise
Unit 3: Personalization and Loyalty Strategies
Using analytics to design personalized campaigns
AI-driven recommendation systems
Customer loyalty programs powered by data
Case studies in personalization
Unit 4: Sales Forecasting and Optimization
Predictive modeling for sales performance
Pricing and promotion optimization with data
Inventory and demand forecasting
Real-world retail forecasting examples
Unit 5: Digital Performance and Future of Retail Analytics
Measuring digital campaigns and online performance
E-commerce dashboards and KPIs
Ethical data practices and privacy compliance
Future trends in retail and e-commerce analytics
Ready to drive growth with retail and e-commerce data?
Join the Retail and E-Commerce Data Analytics Training Course with EuroQuest International Training and transform insights into competitive advantage.
The Retail and E-Commerce Data Analytics Training Courses in Amsterdam provide professionals with the analytical tools and strategic frameworks needed to leverage data for optimizing customer experience, marketing performance, and operational efficiency. Designed for marketing managers, retail analysts, business strategists, and e-commerce professionals, these programs focus on how data analytics transforms digital retail strategies and drives measurable growth in highly competitive markets.
Participants gain a strong foundation in retail and e-commerce analytics, exploring methods for customer segmentation, sales forecasting, and product performance analysis. The courses cover key topics such as consumer behavior modeling, conversion optimization, inventory analytics, and omnichannel performance measurement. Through real-world case studies and practical exercises, attendees learn to apply data visualization and machine learning techniques to uncover insights that support data-driven decision-making across online and offline retail environments.
These retail and e-commerce data analytics training programs in Amsterdam combine business acumen with technical skill development, helping participants integrate analytics into pricing, marketing, and supply chain strategies. The curriculum emphasizes the use of modern analytics tools, dashboards, and AI-powered recommendation systems to enhance personalization, optimize marketing spend, and improve customer lifetime value. Participants also explore best practices in data governance, privacy compliance, and performance tracking in digital commerce ecosystems.
Attending these training courses in Amsterdam offers professionals the opportunity to engage with international experts and peers in one of Europe’s leading innovation and business hubs. The city’s dynamic retail and tech landscape provides an ideal environment for mastering data-driven commerce. By completing this specialization, participants will be equipped to harness analytics for competitive advantage—enabling smarter marketing decisions, improved operational performance, and sustainable business growth in the evolving global retail landscape.