Digital Marketing and Power BI for ManagersModule IV objectives - Gain a deep understanding of digital marketing
- Understand how to effectively track and measure marketing initiatives to evaluate effectiveness and make data-driven decisions
- Develop strategies to create customized marketing campaigns targeted to specific audiences for better engagement and higher conversion rates
- Learn what makes a successful digital content strategy that delivers higher engagement and ROI
- Take advantage of artificial intelligence (AI) tools for marketing decisions, such as natural language processing and machine learning algorithms to create an optimized marketing campaign
Module IV program Digital Marketing Overview - Importance of digital marketing in today’s business environment
- Review of available online digital marketing channels
- Latest digital marketing trends
Practice. Brainstorm on how digital marketing can be used to promote a company’s product or service
Analytics and data measurement - Overview of metrics and analytics used to measure marketing initiatives
- Data analysis methods in digital marketing
- Understanding ROI and different ROI models
Practice. Working in Power BI to create an ROI report
Practice. Testing personalization and targeting methods using Customer Journey Map framework
Content marketing- Overview and different purposes of content in marketing
- Techniques for creating effective content that drives engagement
- Understanding the buyer journey
Practice. Developing a content marketing plan
Social media marketing (SMM)- An overview of social media channels that can be optimized for marketing
- Techniques for creating effective social media campaigns and content
- How to measure the success of social media campaigns
Practice. Creating different types of social media content on popular social media platforms
Artificial Intelligence- An overview of AI and how it can be used in marketing
- Understanding machine learning algorithms used in marketing
- How generative AI works to create automated data-driven decisions
Practice. Application of AI for creating and training a chatbot based on the GPT-4o model