Introduction
Marketing leaders need more than campaign reports; they need meaningful insight into what drives performance, return on investment, and customer engagement. Marketing Analytics for Decision Makers provides a practical understanding of how marketing data can be used to evaluate effectiveness, optimize spend, and improve strategy. The course equips participants to interpret marketing metrics with confidence and turn data into stronger decisions across channels and campaigns.
Course Objectives
- Understand key marketing metrics and their business meaning
- Evaluate campaign performance and return on investment
- Use analytics to improve targeting and channel decisions
- Interpret customer response and engagement data
- Strengthen marketing planning through evidence-based insight
- Communicate marketing performance more effectively to leadership
Target Audience
- Marketing managers and brand leaders
- Professionals responsible for campaign reporting
- Business leaders overseeing marketing investments
- Digital marketing and content professionals
- Sales and growth teams working with marketing data
- Executives seeking clearer marketing performance visibility
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Foundations of Marketing Analytics• What marketing analytics measures and why it matters
• The relationship between marketing activity and business results
• Key data sources in modern marketing
• Understanding funnel metrics and customer response
• Examples of analytics improving marketing performance0 - Day 2: Core Marketing Metrics and KPIs• Reach, engagement, conversion, and retention metrics
• Acquisition cost, return on ad spend, and ROI
• Brand, channel, and campaign measures
• Choosing KPIs that reflect strategic priorities
• Workshop: Reviewing a marketing performance report0 - Day 3: Campaign Analysis and Optimization• Evaluating campaign outcomes and effectiveness
• Comparing channels and audience segments
• Identifying what drives conversion and response
• Using analytics to improve spend allocation
• Practical activity: Diagnosing campaign performance issues0 - Day 4: Customer and Market Insight• Using data to understand customer behavior
• Segmentation and targeting for better results
• Tracking customer journeys and touchpoints
• Linking marketing insight to sales and growth outcomes
• Case study: Data-driven marketing transformation0 - Day 5: Using Marketing Analytics for Better Decisions• Turning marketing data into strategic recommendations
• Communicating results to executives and stakeholders
• Creating routines for ongoing performance improvement
• Strengthening accountability in marketing planning
• Final group project: Presenting an analytics-based marketing strategy0







