Advanced Certificate in Social Listening for Brand Storytelling
-- ViewingNowThe Advanced Certificate in Social Listening for Brand Storytelling is a comprehensive course designed to equip learners with the essential skills to excel in the rapidly evolving world of digital marketing. This program emphasizes the importance of social listening in shaping compelling brand narratives, driving customer engagement, and making data-driven decisions.
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โข Unit 1: Introduction to Social Listening โ Social listening basics, setting up social listening tools, understanding the importance of social listening for brand storytelling.
โข Unit 2: Data Collection Techniques โ Collecting data from social media platforms, analyzing user-generated content, monitoring brand mentions, and measuring sentiment.
โข Unit 3: Data Analysis and Insight Generation โ Analyzing data trends, identifying customer insights, and utilizing data to inform brand storytelling strategies.
โข Unit 4: Brand Storytelling Fundamentals โ Understanding brand storytelling, creating compelling narratives, and aligning brand stories with customer insights.
โข Unit 5: Social Listening and Content Creation โ Using social listening to inform content strategy, developing data-driven content ideas, and measuring content performance.
โข Unit 6: Social Listening and Social Media Marketing โ Leveraging social listening for social media marketing, optimizing social media campaigns, and evaluating social media performance.
โข Unit 7: Social Listening and Customer Experience โ Utilizing social listening to improve customer experience, managing customer feedback, and resolving customer issues.
โข Unit 8: Social Listening and Competitive Analysis โ Monitoring competitors, analyzing competitor strategies, and identifying opportunities for differentiation.
โข Unit 9: Ethics and Privacy in Social Listening โ Understanding ethical considerations, protecting user privacy, and adhering to legal guidelines.
โข Unit 10: Advanced Social Listening Techniques โ Exploring advanced social listening features, incorporating AI and machine learning, and staying updated on industry trends.
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