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The Measurement and Analysis course delves into the essential aspects of tracking, analyzing, and optimizing marketing efforts to drive success. Throughout the course, you will gain a solid understanding of search engine marketing (SEM) and search engine optimization (SEO), web analytics and tools, social media platforms and analytics, as well as A/B testing and campaign performance reporting.

After completing this course, you will be able to: - Set up an SEO objective and perform keyword research. - Construct and apply a value proposition and identify how to analyze performance of SEO strategy. - Define web analytics and associated KPIs. - Identify key features of the Google Analytics Platform, set up a Google Analytics Dashboard and describe other popular platforms and their key features. - Define the 4Cs of social media marketing and recognize SMART objectives. - Describe the RACE Planning Framework. - Identify top social media platforms and assess the best platform to use for a given strategy and objective. - Design a campaign strategy end-to-end and identify where to automate monitoring and adjusting. - Identify the steps to implement testing for a campaign strategy and plan for performance testing.

The Campaign Performance Reporting, Visualization, and Improvement course explores the critical aspects of measuring, reporting, and enhancing campaign performance to achieve marketing excellence.

After completing this course, you will be able to: - Describe the value of data storytelling and list best practices for preparing visualizations. - Identify popular visualization tools and advantages of each. - Identify common market channel strategies. - Describe the ANSOFF Matrix Model and choose a market strategy using ANSOFF Matrix. - Identify what campaign structures impact ROI and common pitfalls to avoid. - Assess and readjust ROI. - Identify the steps to plan and implement market campaign analysis. - Recognize the different models of multi-touch attribution and identify how to implement multi-touch attribution.

The Advanced Tools for Digital Marketing Analytics course explores cutting-edge tools and technologies that are transforming the landscape of digital marketing analytics such as marketing automation and scaling strategies, predictive analytics and algorithms, video and mobile marketing trends, as well as artificial intelligence (AI), natural language processing (NLP), and ethics. You鈥檒l also walk through preparing a portfolio and supporting a career change to digital marketing analyst.

After completing this course, you will be able to: - Describe marketing automation and software applications that support it. - Strategically assess scalability options for marketing campaigns. - Identify the current applications of predictive analytics for digital marketing. - Use data summarization, experimentation, and analysis as an application for targeting. - Describe the future of video and mobile marketing and their impact on the digital marketing channel mix. - Describe how AI and machine learning benefit digital marketing campaigns. - Define NLP and identify its impact on digital marketing. - Examine ethical considerations impacting digital marketing and recognize the potential impact of future advances.