Postgraduate Certificate in Marketing Performance Monitoring
-- ViewingNowThe Postgraduate Certificate in Marketing Performance Monitoring is a comprehensive course that equips learners with the essential skills to monitor, analyze, and optimize marketing performance. This course is crucial in today's data-driven marketing landscape, where businesses demand data-backed insights to inform marketing strategies.
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⢠Marketing Metrics and KPIs: Understanding the essential metrics and key performance indicators (KPIs) for measuring marketing performance. This unit covers primary concepts like conversion rate, customer acquisition cost, customer lifetime value, and return on marketing investment (ROMI).
⢠Web Analytics and SEO: This unit focuses on using web analytics tools to monitor marketing performance, including Google Analytics. Students will learn about SEO best practices and how to optimize websites for search engines to increase organic traffic.
⢠Social Media Analytics: Students will learn how to monitor and analyze social media performance, including engagement metrics, reach, and conversions. This unit covers advanced topics like social listening and influencer marketing.
⢠Email Marketing Metrics: This unit focuses on measuring the effectiveness of email marketing campaigns, including open rates, click-through rates, and conversions. Students will learn how to optimize email marketing campaigns for maximum effectiveness.
⢠Marketing Attribution Models: This unit covers different marketing attribution models, including single-touch, multi-touch, and fractional attribution. Students will learn how to use attribution models to accurately measure marketing performance and optimize marketing spend.
⢠Marketing Mix Modeling: This unit covers marketing mix modeling, a statistical approach to measuring the impact of different marketing channels on sales. Students will learn how to use marketing mix modeling to optimize marketing spend and improve marketing performance.
⢠A/B Testing and Experimentation: This unit focuses on using A/B testing and experimentation to measure the effectiveness of different marketing strategies. Students will learn how to design and implement A/B tests and interpret the results.
⢠Predictive Analytics for Marketing: This unit covers predictive analytics for marketing, including machine learning and artificial intelligence. Students will learn how to use predictive analytics to forecast marketing performance and make data-driven decisions.
⢠Marketing Dashboard and Reporting: The final unit covers how to create a marketing dashboard and reporting system to monitor marketing performance continuously. Students will learn how to use data visualization tools to create clear and actionable marketing reports.
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