2023-11-29-巨量算数-2023中国代际圈层洞察报告_35页_16mb
报告摘要
GENERATIONAL COHORTS RESEARCH
RESEARCH BACKGROUND
The study explores the commercial and social value of generational cohorts in China, emphasizing the need for research grounded in national context, addressing common traits, and accounting for layerization. Building on the "Generational Color Wheel" framework, the research integrates four criteria: growth stage, economic level, historical events, and information media, identifying 20 distinct generational subcultures in China.
KEY FINDINGS
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Generational Color Wheel
The four criteria were used to define 5 generations:- Red (1949–1959): Jiedong, traditional, patriotic.
- Purple-blue (1960–1974): Consistency, hard work, close to socialism.
- Blue (1975–1990): Openness, cooperation, experience.
- Golden (1991–1999): Personality, exploration, desire for self-realization.
- Purple (2000–2006): Contradictory traits—self-worth, multiple interests, apparent self-indulgence.
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Layered Subcultures (20 Generational Cohorts)
Based on four life themes—"Learning," "Work," "Marriage and Childbirth," "Consumption"—the study identified 20 subcultures, named after attributes like:- Baike Teacher (Red)
- Leisure Explorer (Blue)
- Lover of Family Life (Blue)
Each has distinct demographics, interests, consumption attitudes, and media preferences.
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Commercial Insights
- Understanding generational consumption trends guides commercial decision-making.
- Presenting products in combination with traditional values and personalized matching may attract Gen Z.
PRINCIPLES FOR ENTITIES
- The larger the age, the more stable the population.
- In the same life themes, young cohorts tend to differentiate; senior cohorts generally agree.
- Young cohorts prefer built-in search functionality.
MENTIONED OTHER ANALYTICAL ELEMENTS
- Jungian Prototype Theory: Matching generational/archetypal traits to brand positioning.
- Commercial Implications: Greater connectivity across generations supports market segmentation.
RESEARCH LIMITATIONS
The report notes that population sizes of very young and very old cohorts may change with aging; the study also lacks precision for entries with insufficient sample sizes.
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