SayPro categorized research topics

Step 1: Define Core Categories & Subcategories for Consumer Behavior Research

Example categories:

• Psychological Factors
• Social Factors
• Cultural Factors
• Economic Factors
• Technological Factors
• Environmental Factors
• Behavioral Patterns
• Market Segmentation
• Purchase Motivations
• Post-Purchase Behavior
• Digital Commerce
• Retail Trends
• Brand Loyalty
• Consumer Trust
• Subscription Models

Each category can have multiple subcategories (e.g., under Psychological: perception, motivation, memory).

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Step 2: Sample GPT Prompt Template for Generating 100 Topics per prompt

“Generate 100 unique consumer behavior research topics related to [Category], categorized by subcategories. Each topic should focus on a specific consumer segment or motivation factor. Provide the topic as a short title.”

Example:

• Category: Psychological Factors
• Subcategory: Perception
• Target Segment: Millennials

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Step 3: Batch Generation Plan

• Generate 300 prompts, each extracting 100 topics = 30,000 topics total.
• Each prompt targets one category or subcategory for focused relevance.
• Maintain consistent classification metadata for easy sorting.

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Step 4: Categorization and Structuring

Each topic will be tagged with:

• Category
• Subcategory
• Consumer Segment
• Motivation Driver

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Step 5: Output Format Example (for each batch)

Topic No.	Topic Title	Category	Subcategory	Consumer Segment	Motivation Driver
1	Influence of color perception on impulse buying in Gen Z	Psychological	Perception	Gen Z	Impulse Buying
2	Role of social norms in eco-friendly purchase decisions	Social	Social Norms	Eco-conscious	Environmental Concern
…	…	…	…	…	…

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Next Steps:

I can:

• Generate an initial set of 100 or 200 topics here as a demo.
• Provide a Python script or Jupyter notebook code that can automate generating, categorizing, and exporting these topics in bulk, ready for upload.
• Help you organize and format the output into Excel or Google Sheets templates compatible with SayPro’s systems.