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Course Overview

In the age of digital transformation, marketing decisions must be guided by data rather than intuition. Data-driven marketing empowers organizations to personalize campaigns, optimize spend, and strengthen customer engagement through predictive insights and analytics.

This course covers customer segmentation, marketing analytics frameworks, campaign measurement, predictive modeling, and digital tools for decision-making. Participants will gain practical skills to build strategies that maximize ROI and align marketing with organizational goals.

At EuroQuest International Training, the course blends industry best practices, hands-on workshops, and case studies to prepare professionals to design and implement analytics-driven marketing strategies.

Key Benefits of Attending

• Master frameworks for data-driven marketing strategies

• Apply analytics to optimize digital campaigns

• Leverage customer insights for personalized engagement

• Monitor marketing KPIs with dashboards and tools

• Strengthen ROI and decision-making with predictive analytics

Why Attend

This course empowers marketing leaders to transform campaigns with actionable data insights, ensuring smarter decisions, better targeting, and sustainable competitive advantage.

Course Methodology

• Expert-led lectures on data-driven frameworks

• Case studies of successful analytics-driven campaigns

• Workshops on segmentation and KPI dashboards

• Simulations of marketing optimization challenges

• Group projects on analytics-based strategies

Course Objectives

By the end of this ten-day training course, participants will be able to:

• Define principles of data-driven marketing and analytics

• Segment customers using behavioral and demographic data

• Design campaigns based on insights and predictive models

• Monitor KPIs and marketing dashboards effectively

• Apply attribution models to measure campaign performance

• Use AI and machine learning for marketing optimization

• Integrate customer feedback into continuous improvement

• Align marketing analytics with organizational strategy

• Manage risks and ethical considerations in data use

• Apply omnichannel analytics for consistent experiences

• Benchmark analytics practices against global leaders

• Design long-term data-driven marketing strategies

Target Audience

• Marketing and brand managers

• Digital marketing professionals

• Data analysts and marketing strategists

• Business development leaders

• Consultants in marketing analytics and performance

Target Competencies

• Data-driven marketing strategy

• Customer segmentation and insights

• Marketing KPIs and analytics dashboards

• Predictive analytics and modeling

• Campaign optimization techniques

• Omnichannel marketing measurement

• Ethical and sustainable data practices

Course Outline

Unit 1: Introduction to Data-Driven Marketing

• Role of data in modern marketing

• Benefits and challenges of analytics-driven decisions

• Case studies of data-led campaigns

• Workshop on data readiness

Unit 2: Customer Segmentation and Insights

• Behavioral and demographic segmentation models

• Tools for identifying customer needs and preferences

• Mapping customer journeys with data

• Practical segmentation exercises

Unit 3: Marketing Analytics Frameworks

• Key metrics for marketing effectiveness

• Building analytics frameworks for campaigns

• Attribution models for marketing spend

• Group activity on analytics design

Unit 4: Campaign Measurement and ROI

• Tools for measuring campaign performance

• Linking KPIs to ROI and business goals

• Multi-touch attribution models

• Workshop on campaign analytics

Unit 5: Predictive Analytics in Marketing

• Forecasting customer behavior with data models

• Machine learning for campaign optimization

• Reducing churn with predictive insights

• Simulation of predictive analytics

Unit 6: Digital Marketing Analytics

• Social media and online campaign measurement

• Web analytics and traffic optimization

• Mobile-first marketing analytics

• Case studies on digital performance

Unit 7: Customer Experience Analytics

• Measuring customer satisfaction and loyalty

• CX metrics: NPS, CSAT, CES

• Personalization with analytics insights

• Group project on CX analytics

Unit 8: Data Visualization and Dashboards

• Tools for creating marketing dashboards

• Best practices in visualization for decision-making

• Monitoring KPIs in real time

• Practical dashboard design workshop

Unit 9: AI and Automation in Marketing Analytics

• AI-driven personalization strategies

• Automated reporting and data collection

• Chatbots and intelligent engagement tools

• Case examples of AI in marketing

Unit 10: Risk, Privacy, and Data Governance

• Ethical considerations in data-driven marketing

• GDPR and compliance requirements

• Building customer trust in data practices

• Workshop on governance frameworks

Unit 11: Global Best Practices in Data Marketing

• International case studies of analytics adoption

• Trends in global marketing performance management

• Lessons from data-first organizations

• Group discussions on global insights

Unit 12: Capstone Data-Driven Marketing Project

• Group-based analytics-driven campaign project

• Designing strategy with insights and KPIs

• Presenting ROI-focused marketing plans

• Final adoption roadmap for organizations

Closing Call to Action

Join this ten-day training course to master data-driven marketing and analytics, enabling you to transform customer insights into impactful, measurable strategies for sustainable growth.