- What was one of the primary objectives of Marketing 1.0 during the Industrial Revolution?
- a) To focus on customer emotions and values
- b) To create co-existence between humans and technology
- c) To emphasize the functional aspects of products to meet immediate customer needs
- d) To leverage Web 2.0 tools for customer engagement
Answer: c) To emphasize the functional aspects of products to meet immediate customer needs
- Which of the following best describes the role of Marketing 3.0 in addressing globalization and technology?
- a) Focusing on customer segmentation through traditional channels
- b) Enhancing customer relationships via unidirectional communication
- c) Changing consumer lives by blending creative society ideals with technological innovations
- d) Promoting functional benefits of products through mass advertising
Answer: c) Changing consumer lives by blending creative society ideals with technological innovations
- CarMax utilized AI to create a seamless omnichannel experience. Which of the following best illustrates this transformation?
- a) Developing a single customer interaction channel to minimize complexities
- b) Implementing contactless car delivery options during the pandemic
- c) Focusing exclusively on in-store sales to improve customer trust
- d) Introducing manual processes to ensure accuracy in customer interactions
Answer: b) Implementing contactless car delivery options during the pandemic
- In the categorization of AI, why are systems like Alexa and Google’s AlphaGo classified as Weak AI?
- a) They are incapable of solving problems independently
- b) They are limited to specific tasks within predefined functions
- c) They lack the ability to interact with users in real-time
- d) They focus solely on gaming and entertainment applications
Answer: b) They are limited to specific tasks within predefined functions
- How does representation learning differ from classical machine learning in customer segmentation?
- a) It uses fewer data features compared to classical machine learning
- b) It requires explicit human input for all features and patterns
- c) It automates feature extraction and maps abstract features without prior knowledge
- d) It focuses only on clustering based on predefined categories
Answer: c) It automates feature extraction and maps abstract features without prior knowledge
- Which of the following applications best demonstrates the use of Deep Learning in marketing?
- a) Using predefined rules for customer segmentation
- b) Translating customer queries into actionable insights using neural networks
- c) Creating decision trees for advertising campaigns
- d) Automating inventory management with basic robotic systems
Answer: b) Translating customer queries into actionable insights using neural networks
- What is the primary purpose of a Decision Tree in supervised learning?
- a) To create clusters of data points with similar attributes
- b) To predict outcomes by classifying data based on attribute selection measures
- c) To separate data using hyperplanes
- d) To calculate probabilistic relationships between variables
Answer: b) To predict outcomes by classifying data based on attribute selection measures
- Which feature distinguishes Random Forest from a single Decision Tree?
- a) It uses probabilistic methods to classify data points
- b) It combines multiple Decision Trees to improve accuracy and reduce overfitting
- c) It relies on clustering data points using centroids
- d) It separates data points using the maximum margin hyperplane
Answer: b) It combines multiple Decision Trees to improve accuracy and reduce overfitting
- Why is Thinking AI particularly suited for personalization in marketing?
- a) It uses pre-defined rules to analyze customer behavior
- b) It processes unstructured data to discover patterns for personalized recommendations
- c) It captures emotional responses to enhance customer interactions
- d) It automates routine decision-making tasks for efficiency
Answer: b) It processes unstructured data to discover patterns for personalized recommendations
- A company wants to implement AI for customer retention through personalized relationships. Which type of AI would be most effective?
- a) Mechanical AI
- b) Thinking AI
- c) Feeling AI
- d) Supervised AI
Answer: b) Thinking AI