Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Marketing and business development professionals.
• Digital marketing specialists and analysts.
• Brand and campaign managers.
• Data and marketing intelligence officers.
• Anyone responsible for marketing strategy and decision-making.

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

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

• Understand the evolving role of the sales manager in today’s competitive market.
• Develop advanced forecasting, territory, and pipeline management skills.
• Lead and motivate high-performing sales teams effectively.
• Implement strategic account management and customer retention plans.
• Analyze performance metrics and leverage data for decision-making.
• Build sustainable relationships that enhance long-term business growth.

DAY 1

Introduction to Data-Driven Marketing

• Overview of data-driven marketing concepts
• The role of analytics in modern marketing
• Sources and types of marketing data
• Setting objectives for data-driven strategies

DAY 2

Data Collection and Management

• Data gathering from digital and traditional channels
• Customer segmentation and profiling
• CRM and data integration systems
• Data accuracy, governance, and ethics
• Practical session: building a marketing data model

DAY 3

Marketing Analytics and Tools

• Introduction to analytical techniques (descriptive, diagnostic, predictive)
• Using analytics tools (Google Analytics, Power BI, Tableau basics)
• Customer journey and funnel analysis
• Measuring campaign effectiveness and ROI
• Case studies

DAY 4

Data-Driven Marketing Insights and Strategy

• Turning data into actionable insights
• A/B testing and experimentation methods
• Personalization and targeted marketing
• Building performance dashboards and visual reports
• Group activity: developing a data-based marketing plan

DAY 5

AI-Driven Marketing Analytics and Data Privacy

• AI and machine learning in marketing analytics
• Predictive modeling and marketing automation
• Data privacy and compliance in analytics