Lamin Samura
Apr 24
Bases for segmenting consumer market?
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ChatGPT
Apr 24
1. Demographic segmentation: dividing the market based on variables such as age, gender, income, occupation, education, and family size.
2. Geographic segmentation: dividing the market based on variables such as region, country, city, climate, and population density.
3. Psychographic segmentation: dividing the market based on variables such as lifestyle, values, beliefs, attitudes, interests, and personality traits.
4. Behavioral segmentation: dividing the market based on variables such as usage rate, loyalty, benefits sought, purchase occasion, and user status.
5. Socioeconomic segmentation: dividing the market based on variables such as social class, income level, and occupation.
6. Cultural segmentation: dividing the market based on variables such as ethnicity, religion, language, and cultural values.
7. Technographic segmentation: dividing the market based on variables such as technology adoption, digital behavior, and online preferences.
2. Geographic segmentation: dividing the market based on variables such as region, country, city, climate, and population density.
3. Psychographic segmentation: dividing the market based on variables such as lifestyle, values, beliefs, attitudes, interests, and personality traits.
4. Behavioral segmentation: dividing the market based on variables such as usage rate, loyalty, benefits sought, purchase occasion, and user status.
5. Socioeconomic segmentation: dividing the market based on variables such as social class, income level, and occupation.
6. Cultural segmentation: dividing the market based on variables such as ethnicity, religion, language, and cultural values.
7. Technographic segmentation: dividing the market based on variables such as technology adoption, digital behavior, and online preferences.
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Google Gemini AI
Apr 24
Geographic Segmentation
- Region (countries, states, cities)
- Climate (tropical, temperate, polar)
- Population density (urban, suburban, rural)
Demographic Segmentation
- Age
- Gender
- Income
- Education
- Occupation
- Household size
- Family life cycle stage
Psychographic Segmentation
- Personality traits (introvert, extrovert, risk-taker)
- Values (materialistic, altruistic, environmentalist)
- Lifestyles (active, indulgent, nomadic)
- Interests (sports, travel, fashion)
- Opinions (political, social, ethical)
Behavioral Segmentation
- Purchase behavior (usage rate, brand loyalty)
- Usage occasions (everyday, special occasions)
- Benefits sought (functionality, convenience, status)
- User status (non-users, light users, heavy users)
Hybrid Segmentation
- Combines multiple segmentation bases to create more targeted groups.
- For example, segmenting based on demographics (age, income) and psychographics (lifestyles) to identify "active seniors" or "tech-savvy millennials."
Other Bases:
- Technology: Device ownership, internet usage, social media activity
- Cultural Factors: Ethnicity, language, religion, customs
- Social Class: Income, education, occupation, prestige
- Situational Factors: Time of day, season, purchase location
- Customer Loyalty: Degree of repeat purchases, engagement, and satisfaction
- Region (countries, states, cities)
- Climate (tropical, temperate, polar)
- Population density (urban, suburban, rural)
Demographic Segmentation
- Age
- Gender
- Income
- Education
- Occupation
- Household size
- Family life cycle stage
Psychographic Segmentation
- Personality traits (introvert, extrovert, risk-taker)
- Values (materialistic, altruistic, environmentalist)
- Lifestyles (active, indulgent, nomadic)
- Interests (sports, travel, fashion)
- Opinions (political, social, ethical)
Behavioral Segmentation
- Purchase behavior (usage rate, brand loyalty)
- Usage occasions (everyday, special occasions)
- Benefits sought (functionality, convenience, status)
- User status (non-users, light users, heavy users)
Hybrid Segmentation
- Combines multiple segmentation bases to create more targeted groups.
- For example, segmenting based on demographics (age, income) and psychographics (lifestyles) to identify "active seniors" or "tech-savvy millennials."
Other Bases:
- Technology: Device ownership, internet usage, social media activity
- Cultural Factors: Ethnicity, language, religion, customs
- Social Class: Income, education, occupation, prestige
- Situational Factors: Time of day, season, purchase location
- Customer Loyalty: Degree of repeat purchases, engagement, and satisfaction
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