Unit 5: Content Marketing
Short Answer Questions (2-3 marks each)
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Define content marketing. How does it differ from advertising?
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What is a content strategy? What elements should it include?
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List five types of content used in content marketing.
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What is storytelling in marketing? Why is it effective?
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Define user-generated content (UGC). Give two examples.
Long Answer Questions (5-8 marks each)
- Describe the content marketing funnel. What types of content work best at each stage? (8 marks)
- Consider: Awareness, Consideration, Decision stages
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Explain how to create an effective content strategy: goals, audience, content types, distribution, and measurement. (6 marks)
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Discuss different content formats: blogs, videos, infographics, podcasts, and webinars. When should each be used? (6 marks)
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Explain influencer marketing in detail. How do you select influencers and measure campaign success? (6 marks)
- Discuss brand advocacy and user-generated content. How can brands encourage and leverage UGC? (5 marks)
Unit 6: Email and Mobile Marketing
Short Answer Questions (2-3 marks each)
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What is email marketing? Why is it still effective?
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Define open rate and click-through rate in email marketing.
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What is email segmentation? Why is it important?
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Explain marketing automation. Give two examples.
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What is mobile marketing? List three mobile marketing channels.
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Define push notifications. How should they be used effectively?
Long Answer Questions (5-8 marks each)
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Describe the key elements of effective email campaigns: subject lines, content, design, CTAs, and timing. (8 marks)
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Explain email list building and segmentation strategies. How do they improve campaign performance? (6 marks)
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Discuss marketing automation: triggers, workflows, and personalization. How does it improve marketing efficiency? (6 marks)
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Describe mobile marketing strategies: SMS, push notifications, in-app marketing, and mobile-optimized content. (6 marks)
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Explain how to measure email marketing success. What metrics should be tracked and benchmarked? (5 marks)
Unit 7: Web Analytics and Data
Short Answer Questions (2-3 marks each)
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What is web analytics? Why is it important for digital marketing?
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Define the following metrics: sessions, users, pageviews, bounce rate.
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What is conversion rate? How is it calculated?
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Explain the difference between Google Analytics 4 and Universal Analytics.
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What is A/B testing? Why is it valuable for marketers?
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Define attribution modeling. Name three attribution models.
Long Answer Questions (5-8 marks each)
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Describe the key metrics in web analytics: traffic, engagement, conversion, and acquisition metrics. Explain what each reveals. (8 marks)
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Explain how to set up goals and conversions in Google Analytics. What types of conversions should be tracked? (6 marks)
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Discuss A/B testing methodology: hypothesis, variables, sample size, and statistical significance. (6 marks)
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Explain how to create effective marketing dashboards. What metrics should be included for different stakeholders? (5 marks)
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Describe data-driven decision making in marketing. How should marketers use analytics to optimize campaigns? (6 marks)
Unit 8: Emerging Trends and Future of Digital Marketing
Short Answer Questions (2-3 marks each)
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How is Artificial Intelligence (AI) used in digital marketing?
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What is voice search? How does it affect SEO?
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Define marketing automation. Give three examples of automation tools.
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What is omnichannel marketing? How does it differ from multichannel?
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Explain the impact of privacy regulations (GDPR, cookie policies) on digital marketing.
Long Answer Questions (5-8 marks each)
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Discuss how AI and machine learning are transforming digital marketing: personalization, chatbots, predictive analytics, and content creation. (8 marks)
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Explain voice search optimization. How should businesses adapt their SEO strategy for voice search? (6 marks)
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Describe e-commerce marketing strategies: product feeds, shopping ads, remarketing, and email sequences. (6 marks)
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Discuss the ethical considerations in digital marketing: privacy, transparency, data collection, and targeting. (5 marks)
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Predict future trends in digital marketing. How should marketers prepare for changes in technology and consumer behavior? (6 marks)
Case Study Questions
Case Study 1: Content Marketing Strategy (10 marks)
A B2B software company wants to attract leads through content marketing.
a) What types of content should they create for different funnel stages? (4 marks) b) What distribution channels would you recommend? (3 marks) c) How should they measure content marketing ROI? (3 marks)
Case Study 2: Email Marketing Optimization (10 marks)
An e-commerce company’s email campaigns have declining open rates and conversions.
a) What factors might be causing the poor performance? (3 marks) b) How should they segment their email list? (3 marks) c) What automation sequences would improve customer engagement? (4 marks)
Case Study 3: Analytics Implementation (10 marks)
A new website wants to implement comprehensive analytics tracking.
a) What should they track: events, goals, and conversions? (4 marks) b) How should they set up dashboards for different teams? (3 marks) c) What A/B tests would you recommend starting with? (3 marks)
Comprehensive Essay Questions (15 marks each)
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“Data is the new oil in digital marketing.” Discuss this statement with reference to analytics, personalization, and privacy challenges. How should marketers balance data utilization with ethical considerations?
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Describe an integrated digital marketing strategy for a new product launch. Include SEO, PPC, content marketing, social media, and email marketing. Explain how these channels work together.
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Discuss the future of digital marketing in Nepal. What opportunities and challenges do Nepali businesses face in adopting advanced digital marketing techniques?
Answer Guidelines
Unit 5-6 Key Points
- Content funnel: TOFU (awareness), MOFU (consideration), BOFU (decision)
- Email metrics: Open rate, CTR, Conversion rate, Unsubscribe rate
- Automation triggers: Welcome series, abandoned cart, re-engagement
Unit 7-8 Key Points
- Key metrics: Sessions, Users, Pageviews, Bounce Rate, Conversion Rate
- Attribution models: Last-click, First-click, Linear, Time-decay, Position-based
- AI applications: Chatbots, Personalization, Predictive analytics, Content generation

