Marketing Analytics Fundamentals

Marketing Analytics Fundamentals

Marketing Analytics Fundamentals refers to the practice of basic theory and techniques for applying analytics for marketing process in a company. The practice includes data collection, analysis, and making optimum decisions based on the marketing data. The practice involves using metrics of customer acquisition costs, conversion rates, return on investment (ROI), and customer lifetime value (CLV), in Google Analytics, social media metrics, and email campaign analytics.

Certification in Marketing Analytics Fundamentals attests to your skills and knowledge in the basic tools and techniques of marketing analytics. The certification assess you in marketing metrics, performance tracking, data visualization, and analytics tools.
Why is Marketing Analytics Fundamentals certification important?

• The certification attests to your skills and knowledge of applying analytics on marketing process.
• Shows your expertise in data-driven marketing decision-making.
• Boosts your credibility as a marketing analytics professional.
• Increases your employability in the competitive marketing field.
• Attests to your knowledge of marketing metrics and optimizing marketing campaigns for better ROI.
• Verifies your capabilities to interpret and present marketing data.
• Opens doors for career advancement in marketing and analytics roles.
• Validates your knowledge of essential marketing tools and technologies.
• Shows your commitment to learning and professional growth.

Who should take the Marketing Analytics Fundamentals Exam?

• Digital Marketing Specialists
• Marketing Analysts
• Data Analysts (Marketing Focus)
• Marketing Managers
• Social Media Analysts
• E-commerce Managers
• SEO/SEM Specialists
• Content Marketing Managers
• Brand Managers
• Marketing Consultants

Marketing Analytics Fundamentals Certification Course Outline
The course outline for Marketing Analytics Fundamentals certification is as below -

• Introduction to Marketing Analytics
• Key Marketing Metrics and KPIs
• Tools for Marketing Analytics
• Data Collection and Analysis
• Segmentation and Targeting
• Campaign Performance Tracking
• A/B Testing and Experimentation
• Data Visualization and Reporting
• Attribution and Marketing Models
• Ethical and Privacy Considerations