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SayPro Consumer Behaviour Analysis Framework

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SayPro Consumer Behaviour Analysis Framework

Issued by: SayPro Consumer Behaviour Analysis Research Office
Version: 1.0 | Applicable: Q2 2025 onward


1. Framework Objective

To provide a standardized model for analyzing, categorizing, and understanding the key emotional, social, psychological, cultural, economic, technological, and environmental drivers that influence consumer behavior, in alignment with SayPro’s mission and strategic goals.


2. Core Pillars of Analysis

A. Emotional Drivers

  • Trust, fear, joy, nostalgia, love, anger
  • Brand connection and emotional branding
  • Visual and narrative cues in marketing

B. Social Drivers

  • Peer influence, community norms
  • Family, friends, and social media circles
  • Trends and group identity behavior

C. Psychological Drivers

  • Perception, motivation, attitudes
  • Learning, memory, cognitive biases
  • Risk aversion and impulse control

D. Cultural Drivers

  • National and local traditions
  • Language, beliefs, values
  • Cross-cultural brand resonance

E. Economic Drivers

  • Pricing sensitivity, purchasing power
  • Socioeconomic class and value perception
  • Credit, affordability, and perceived utility

F. Technological Drivers

  • Mobile adoption, platform familiarity
  • Digital literacy and online trust
  • AI, automation, and convenience expectations

G. Environmental Drivers

  • Sustainability awareness
  • Ethical consumption trends
  • Environmental impact of goods/services

3. Data Collection & Analysis Tools

ToolPurpose
GPT PromptsTopic generation, thematic exploration
Surveys/QuestionnairesDirect consumer input
Focus GroupsQualitative insights
SayPro Analytics DashboardReal-time behavior metrics from SayPro platforms
Heatmaps & ClickstreamsBehavioral pathing
Interviews & ObservationsIn-depth understanding of motivations and reactions

4. Research Workflow (Standardized)

  1. Initiate: Define objective & influencing factors
  2. Extract: Use GPT and SayPro tools to gather thematic data
  3. Categorize: Apply core pillar classifications
  4. Analyze: Use cross-factor synthesis (e.g., emotional + economic)
  5. Validate: Peer review and compare against historical data
  6. Report: Document findings using SayPro templates
  7. Present: Prepare stakeholder briefs and visualizations
  8. Refine: Incorporate feedback for future studies

5. Deliverables & Outputs

  • Topic Lists (≥100 per prompt)
  • Insight Briefs (2–5 pages per campaign/factor)
  • Full Research Reports (10–25 pages, formatted per template)
  • Visual Dashboards & Charts
  • Strategic Recommendations Slide Decks
  • Uploads to SayPro Research Portal

6. Compliance & Ethics

  • All research must align with the SayPro Research Ethics Agreement
  • Signed NDA required prior to data access
  • Regular audits and peer reviews ensure accuracy and ethical standards

7. Usage Scope

This framework applies to:

  • Market segmentation projects
  • Campaign planning and targeting
  • Product development decisions
  • Policy and social impact programs
  • Ongoing consumer insight monitoring

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