Midterm Questions PDF
Document Details
Uploaded by ExtraordinarySunset5742
Universität Graz
Tags
Summary
This document contains questions and answers related to digital transformation, data strategy, marketing technology, and related topics. It includes questions about digital marketing, data collection, and brand differentiation. It focuses on concepts useful for a business or marketing-related course.
Full Transcript
Here are the questions with the answers at the end: ### General Questions on Digital Transformation 1. What is the first step towards digital transformation? a) Automating processes b) Digitizing analog data c) Introducing cloud services d) Developing new business models 2. Which of the fo...
Here are the questions with the answers at the end: ### General Questions on Digital Transformation 1. What is the first step towards digital transformation? a) Automating processes b) Digitizing analog data c) Introducing cloud services d) Developing new business models 2. Which of the following brands is an example of D2C (Direct-to-Consumer)? a) Airbnb b) Fenty Beauty c) Uber d) Foodora ### Data Strategy and Management 3. What is a key feature of an eTective data strategy? a) Being generic and reusable for any organization b) Focusing solely on collecting data c) Being actionable and context-specific d) Emphasizing cost-cutting only 4. What is a major challenge in the digital age regarding customer data? a) Lack of structured data b) High costs of data collection c) Managing and integrating data across silos d) Limited access to external data ### Digital Marketing and Customer Experience 5. What strategy corresponds to the *Engage* behavior in digital customer interaction? a) OTering omnichannel availability b) Providing valued content customers will use and share c) Inviting customers to collaborate on projects d) Personalizing oTers for each customer 6. What does OCT (OTline Conversion Tracking) enable companies to do? a) Track digital marketing campaign performance only b) Measure oTline sales influenced by online ads c) Identify online purchases through social media ads d) Collect customer data from oTline sources --- ### Answers 1. b) Digitizing analog data 2. b) Fenty Beauty 3. c) Being actionable and context-specific 4. c) Managing and integrating data across silos 5. b) Providing valued content customers will use and share 6. b) Measure oTline sales influenced by online ads Here are additional single-choice questions based on the document. Answers are provided at the end. --- ### Questions on Marketing Technology (MarTech) 7. What is a key role of a **Brand/Demand Builder** in marketing operations? a) Developing customer loyalty programs b) Using martech to attract, engage, and retain customers c) Managing data storage and security d) Building custom digital applications 8. Which of the following best describes a **Frankenstack** in MarTech? a) A unified and well-integrated marketing toolset b) A collection of mismatched and poorly coordinated marketing tools c) A technology stack designed exclusively for startups d) A toolset optimized for e-commerce operations ### Digital Transformation ETects 9. How has data availability changed in the digital age? a) It has become more expensive to collect and store data b) Only structured data can now be used eTectively c) Data is generated continuously and can include unstructured formats d) Data silos are no longer a concern for organizations 10. What is a key diTerence between **digitization** and **digital transformation**? a) Digitization involves automating processes, while digital transformation includes updating IT infrastructure b) Digitization focuses on converting analog data, while digital transformation changes entire business models c) Digitization centers on customer data, while digital transformation is limited to internal operations d) They are interchangeable terms ### Challenges and Barriers in Marketing 11. What is a key challenge for marketing teams in 2024? a) Over-reliance on physical touchpoints b) Limited access to AI-driven analytics tools c) Integrating data science into existing marketing processes d) Lack of availability of online data 12. Which of the following behaviors should be avoided regarding data collection? a) Using only qualitative insights for analysis b) Collecting data only when there is a clear strategic purpose c) Analyzing data across multiple sources d) Collecting data just because it is technically possible ### Digital Brand DiTerentiation 13. What is one of the core deliverability criteria for brand diTerentiation? a) The brand should be relevant to the target group b) The strategy should be distinctive and superior c) The approach should be defensible and sustainable d) The brand must focus only on digital marketing channels 14. Which example best represents the application of digital brand diTerentiation? a) OTering the lowest price on the market for beauty products b) Highlighting exclusive products and personalized services c) Prioritizing oTline marketing campaigns d) Relying on generic e-commerce templates --- ### Answers 7. b) Using martech to attract, engage, and retain customers 8. b) A collection of mismatched and poorly coordinated marketing tools 9. c) Data is generated continuously and can include unstructured formats 10. b) Digitization focuses on converting analog data, while digital transformation changes entire business models 11. c) Integrating data science into existing marketing processes 12. d) Collecting data just because it is technically possible 13. c) The approach should be defensible and sustainable 14. b) Highlighting exclusive products and personalized services Here are additional single-choice questions based on the document. Answers are at the end. --- ### Digital Marketing Strategies 15. What is the recommended strategy for the *Customize* behavior in digital customer interactions? a) Provide personalized experiences or empower customers to customize themselves b) OTer faster access to digital content and interactions c) Focus on creating shareable social media campaigns d) Invite customers to collaborate on business goals 16. How does Douglas apply the *Connect* behavior in its strategy? a) By oTering personalized beauty consultations in stores b) By providing user-generated content and branded hashtags c) By using targeted ads for new customer acquisition d) By providing faster delivery services ### Customer Data and Insights 17. What is a common issue when data is managed in operational silos? a) It leads to faster decision-making b) It limits the ability to create valuable insights by connecting data across silos c) It ensures greater data security and privacy d) It enables easier storage of unstructured data 18. Which of the following is an example of monetizing data? a) Selling aggregated customer insights to partners b) Optimizing supply chain processes with real-time data c) Analyzing customer behavior for personalized recommendations d) Reducing costs with cloud data storage ### AI and Big Data 19. What is one major advantage of using AI in marketing analytics? a) Ensuring better data security across silos b) Automating real-time pattern recognition in customer data c) Limiting the use of unstructured data d) Reducing the need for digital marketing tools 20. What is a challenge companies face regarding AI adoption in business? a) High costs of implementing cloud services b) Lack of understanding of how AI will transform business processes c) Limited availability of structured data for AI models d) DiTiculty in identifying customer touchpoints ### E-Commerce and Customer Journeys 21. What is a primary focus of enterprise e-commerce platforms? a) Managing low-volume sales transactions b) Supporting high-order volumes and omnichannel integration c) Limiting international expansion for easier management d) Prioritizing physical store sales over online sales 22. At the *Consideration* stage of the customer journey, what is an example of an earned touchpoint? a) Retargeting ads on social media b) Virtual advice via video tools c) Customer reviews and recommendations d) Landing pages --- ### Answers 15. a) Provide personalized experiences or empower customers to customize themselves 16. b) By providing user-generated content and branded hashtags 17. b) It limits the ability to create valuable insights by connecting data across silos 18. a) Selling aggregated customer insights to partners 19. b) Automating real-time pattern recognition in customer data 20. b) Lack of understanding of how AI will transform business processes 21. b) Supporting high-order volumes and omnichannel integration 22. c) Customer reviews and recommendations