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The Retail and E-Commerce Data Analytics in Brussels is a professional training course designed to equip participants with skills to analyze retail and online sales data for better business outcomes.

Brussels

Fees: 5900
From: 16-03-2026
To: 20-03-2026

Retail and E-Commerce Data Analytics

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.

Retail and E-Commerce Data Analytics

The Retail and E-Commerce Data Analytics Training Courses in Brussels provide professionals with a specialized understanding of how data-driven insights can shape customer experience, pricing strategy, market positioning, and overall business performance in modern retail and online commerce environments. Designed for retail managers, marketing analysts, e-commerce specialists, and business strategists, these programs focus on applying analytical techniques to understand consumer behavior, forecast demand, and optimize digital sales channels.

Participants develop a strong foundation in retail analytics, including customer segmentation, purchasing pattern analysis, sales performance evaluation, and marketing attribution. The courses emphasize how organizations can use data from loyalty programs, online platforms, point-of-sale systems, and digital marketing campaigns to make informed strategic decisions. Through practical exercises and case-based simulations, attendees learn how to interpret dashboards, manage product assortment, optimize pricing strategies, and enhance customer engagement both online and in physical stores.

These e-commerce and retail analytics training programs in Brussels further explore data analytics applications in digital supply chains, omnichannel retailing, and personalized marketing. Participants learn how to leverage predictive analytics tools to forecast demand, reduce stockouts, and improve inventory management. The curriculum also highlights the evaluation of digital traffic sources, conversion funnels, consumer journey mapping, and the use of machine learning models to enhance recommendation systems and targeted advertising.

Attending these training courses in Brussels offers a collaborative and globally connected learning environment where retail and e-commerce professionals exchange best practices and insights on evolving industry trends. The city’s international commercial landscape provides a valuable context for discussing innovative data strategies and emerging market behaviors. By completing this specialization, participants will be equipped to translate data into actionable strategies—strengthening customer loyalty, improving operational efficiency, and driving sustainable revenue growth in competitive retail and digital commerce markets.