AI in Marketing Week 4 NPTEL Assignment Answers 2025

NPTEL AI in Marketing Week 4 Assignment Answers 2024

1. What is the primary function of Facial Coding in AI-powered qualitative research?

• Analyzing written or spoken responses
• Revolutionizing consumer behavior and preferences
• Identifying micro-expressions and emotional responses
• Enabling researchers to understand the emotional impact of campaigns

Answer: Identifying micro-expressions and emotional responses

Explanation:
Facial Coding involves the analysis of facial movements to detect emotions. It helps researchers understand real-time emotional responses by tracking micro-expressions that are often subconscious and reflect genuine reactions.

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2. How can AI contribute to problem identification, as mentioned in the text?

• Solely by analyzing past usage and patterns
• By predicting the probability of sudden cardiac arrest
• Only by identifying consumer needs in real-time
• Both by detecting needs based on past usage/patterns and predicting future needs

Answer: Both by detecting needs based on past usage/patterns and predicting future needs

Explanation:
AI uses data from past behavior to detect existing problems and employs predictive analytics to foresee potential future needs, making it highly effective in problem identification.

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3. What are some benefits of capturing Marketing Insights using AI?

• Train employees based on what’s actually important to customers
• Prioritize actions to improve customer experience
• Capture customers’ emotional and cognitive responses in real-time
• All the above

Answer: All the above

Explanation:
AI enhances marketing insights by analyzing customer interactions deeply, enabling training, prioritization, and real-time emotional detection — all of which improve strategic decision-making.

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4. How is Artificial Intelligence (AI) transforming market research?

• Automating data collection and analysis
• Enabling predictive analytics
• Providing augmented consumer insights and making informed decisions based on rich insights derived from massive datasets with precision and efficiency
• All the above

Answer: All the above

Explanation:
AI’s capabilities span across data automation, predictive modeling, and deep consumer insight generation, revolutionizing the market research landscape.

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5. What is the primary concept behind the Consumer Behavior Stimulus Response Model?

• Marketing stimuli have no impact on consumer decision-making
• Consumer characteristics have no role in the decision process
• Environmental stimuli directly lead to purchase decisions
• Marketing and environmental stimuli enter the consumer’s consciousness, and psychological processes combine with consumer characteristics to influence decision processes and purchase decisions

Answer: Marketing and environmental stimuli enter the consumer’s consciousness, and psychological processes combine with consumer characteristics to influence decision processes and purchase decisions

Explanation:
This model explains how external (stimuli) and internal (psychological and personal) factors interact to drive consumer decisions.

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6. Which of the following are the primary psychological processes that significantly impact consumer responses?

• Motivation, Perception
• Learning, and Memory
• Both A and B
• None of above

Answer: Both A and B

Explanation:
Motivation, perception, learning, and memory are core psychological processes that shape how consumers perceive and respond to marketing stimuli.

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7. How does Artificial Intelligence (AI) play a role in understanding and addressing consumer needs during the problem recognition stage?

• By ignoring overt behavior and digital footprints
• By relying solely on internal stimuli
• By recognizing problems/needs only through external stimuli
• By understanding consumers’ emerging needs through overt behavior and digital footprints, allowing for personalized marketing approaches

Answer: By understanding consumers’ emerging needs through overt behavior and digital footprints, allowing for personalized marketing approaches

Explanation:
AI monitors behavioral signals (like searches, browsing patterns, and social media) to identify emerging consumer needs, supporting proactive engagement.

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8. What business model is facilitated by Artificial Intelligence (AI) in predicting customers’s needs and preferences?

• Shopping-then-Shipping
• Pre-ordering
• Traditional Retailing
• Shipping-then-Shopping

Answer: Shipping-then-Shopping

Explanation:
In this AI-driven model, products are shipped even before customers place an order based on predictive insights, improving customer satisfaction and reducing decision time.

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9. How does Artificial Intelligence (AI) utilize machine learning to understand and predict consumer behavior?

• By solely focusing on sporadic purchases
• By ignoring underlying patterns in shopping behavior
• By unrecognizing regular habits
• By detecting underlying patterns in shopping behavior, predicting regular habits, and understanding more complex consumer behaviors

Answer: By detecting underlying patterns in shopping behavior, predicting regular habits, and understanding more complex consumer behaviors

Explanation:
Machine learning identifies and learns from shopping habits and patterns to predict future behaviors, enabling targeted and effective marketing.

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10. What role does AI play in the pre-purchase phase?

• Including activities such as collecting information, selecting, advising, recommending, and customizing?
• Enhancing the checkout process for smoother transactions
• Providing post-purchase customer support
• Monitoring shipping and delivery logistics

Answer: Including activities such as collecting information, selecting, advising, recommending, and customizing

Explanation:
During the pre-purchase stage, AI assists consumers by offering personalized recommendations, comparisons, and guiding decisions based on preferences and behaviors.