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Course Overview

Modern marketing requires more than creativity—it demands data-driven strategies that connect campaigns to measurable business outcomes. Organizations that integrate analytics into marketing achieve better targeting, improved personalization, and higher ROI. This course covers customer journey analytics, segmentation, attribution modeling, digital dashboards, and AI-driven predictive insights.

Delivered by EuroQuest International Training, the course blends marketing strategy with advanced analytics. It highlights global best practices, governance in data use, and ESG considerations in customer data management.

Course Benefits

• Apply analytics frameworks to design and evaluate marketing strategies

• Leverage customer insights for personalization and engagement

• Use predictive modeling to forecast behavior and optimize campaigns

• Measure marketing ROI through data-driven dashboards and KPIs

• Ensure governance, ethics, and compliance in customer data use

Why Attend

Organizations that fail to leverage data fall behind competitors who understand their customers in real time. This course provides strategic and technical tools to drive marketing excellence through evidence-based decisions.

Training Methodology

• Structured sessions with case-based insights

• Scenario-driven exercises in marketing analytics

• Strategic discussions on governance, ethics, and digital trends

• Conceptual frameworks blended with applied tools

• Benchmarking against global leaders in data-driven marketing

Course Objectives

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

• Define principles of data-driven marketing and analytics

• Design marketing campaigns using customer insights

• Apply segmentation, targeting, and personalization through data

• Use predictive analytics and AI for campaign optimization

• Measure campaign performance and ROI with analytics tools

• Ensure compliance with data governance and privacy laws

• Integrate ESG and ethical frameworks in marketing data use

• Anticipate consumer trends through analytics foresight

• Align marketing data strategies with organizational goals

• Lead organizations toward sustainable, customer-focused growth

Course Outline

Unit 1: Introduction to Data-Driven Marketing

• Role of data in modern marketing strategies

• Linking analytics with marketing effectiveness

• Case studies of successful data-driven campaigns

Unit 2: Data Collection and Customer Insights

• Methods of gathering customer data

• CRM and marketing automation systems

• Turning raw data into customer insights

Unit 3: Segmentation, Targeting, and Personalization

• Data-driven segmentation frameworks

• Targeting strategies using customer data

• Personalization across digital and offline channels

Unit 4: Customer Journey Analytics

• Mapping the customer journey with data

• Identifying touchpoints and drop-off points

• Enhancing CX through journey analytics

Unit 5: Predictive and Prescriptive Analytics

• Forecasting customer behavior with predictive models

• Prescriptive analytics for decision optimization

• Case perspectives on predictive marketing

Unit 6: Campaign Measurement and Attribution

• Attribution modeling (first-touch, last-touch, multi-touch)

• Linking campaigns to conversion and sales impact

• ROI measurement frameworks

Unit 7: Digital and Social Media Analytics

• Social listening and sentiment analysis

• Analytics tools for digital campaigns

• Case studies of social media data insights

Unit 8: Dashboards and KPI Measurement

• Designing marketing dashboards

• KPIs for campaign and brand performance

• Benchmarking against industry standards

Unit 9: AI and Machine Learning in Marketing Analytics

• AI applications in personalization and recommendations

• Chatbots and automated CX tools

• Case studies in AI-driven marketing

Unit 10: Data Governance and Compliance

• Privacy regulations (GDPR, CCPA, etc.)

• Ethical considerations in customer data usage

• Governance models for marketing analytics

Unit 11: ESG and Responsible Marketing Analytics

• Integrating ESG into marketing data strategies

• Communicating sustainability through data-driven campaigns

• Building customer trust with ethical analytics

Unit 12: Executive Integration and Strategic Outlook

• Consolidating marketing and analytics strategies

• Designing governance-aligned data strategies

• Anticipating global marketing analytics trends

• Executive foresight and leadership reflection

Target Audience

• Marketing and brand managers

• Digital marketing and analytics professionals

• CRM and customer experience leaders

• Business development executives

• Policy makers and governance officers in marketing

Target Competencies

• Marketing analytics and campaign evaluation

• Data-driven customer segmentation and targeting

• Predictive and prescriptive analytics for marketing

• Governance, ethics, and ESG in data-driven marketing

• Dashboard design and KPI measurement

• Strategic foresight in marketing and consumer trends

Join the Data-Driven Marketing and Analytics Training Course from EuroQuest International Training to master analytics-driven marketing, strengthen customer engagement, and lead organizations toward measurable, customer-focused success.