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SayPro analysis of topic lists related to consumer behavior

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Strategy Overview:

  • Objective: Generate, extract, and analyze topic prompts around consumer behavior to support content planning, research, segmentation, or product development.
  • Tools Used: GPT for topic generation; optional: Excel/Sheets, Notion, Airtable, or other data analysis tools for tracking and analysis.

📌 Step-by-Step Process

1. Define the Focus Area (Optional Filters)

Each query can be targeted using various consumer behavior themes:

  • Psychological: decision-making, attitudes, motivation
  • Behavioral: purchase habits, loyalty, brand switching
  • Digital: mobile commerce, social media influence
  • Demographic: youth vs. senior consumers, gender, income
  • Cultural: local norms, cross-border shopping behavior

Example filters:

  • “Consumer behavior in Gen Z online shopping”
  • “Impact of digital ads on rural buying patterns”

2. Sample GPT Prompt for Topic Extraction (100 Topics per Query)

textCopyEditGenerate 100 specific, diverse, and research-worthy topic ideas related to [consumer behavior in X context], suitable for research articles, blog posts, or product development studies.
Each topic should be phrased as a clear and concise title, not exceeding 15 words.
Examples:

Prompt A:

Generate 100 consumer behavior topics focused on the psychological factors influencing online shopping.

Prompt B:

Generate 100 topics related to the impact of cultural values on brand perception in Africa.


Output Example (Top 10 of 100 Topics)

Topic Prompt: Consumer Behavior in Mobile Commerce

  1. How mobile UX design affects impulse purchases in e-commerce platforms
  2. The psychology behind mobile shopping cart abandonment
  3. Gender differences in mobile shopping behaviors
  4. Influence of mobile payment options on consumer trust
  5. Weekend vs. weekday mobile shopping habits
  6. Role of personalized ads in mobile commerce
  7. Age-based segmentation of mobile app shoppers
  8. Cultural influences on mobile app shopping preferences
  9. Impact of limited-time offers in mobile shopping apps
  10. How app reviews affect consumer decisions on mobile platforms

📊 Analysis Suggestions:

Once you have your 100-topic list, you can:

  • Cluster by themes: Psychological, Behavioral, Technological, Demographic, Cultural
  • Tag use cases: Research, Blog Content, Marketing Campaigns, Product Design
  • Rank by priority: Based on relevance to current projects, trends, or data gaps
  • Use for segmentation: Align with different consumer groups or regions

📥 Want to Get Started?

If you’d like, I can:

  • Generate 100 topics immediately based on your specified theme or demographic
  • Organize them into categories or content buckets
  • Provide analysis-ready formatting (CSV, Markdown, etc.)

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