Market Segmentation Flashcards

1
Q

Geographic segmentation

A

divides markets according to geographic criteria. In practice, markets can be segmented as broadly as continents and as narrowly as neighbourhoods or postal codes.

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2
Q

Examples of geographic segmentation

A
  • COUNTRY: e.g. Brazil, Canada, China, France, Germany, India, Italy, Japan, UK, US.
  • REGION: e.g. North, North-west, Mid-west, South, Central.
  • POPULATION DENSITY: e.g. central business district (CBD), urban, suburban, rural, regional.
  • CITY or TOWN size: e.g. under 1,000; 1,000–5,000; 5,000–10,000 … 1,000,000–3,000,000 and over 3,000,000.
  • CLIMATIC ZONE: e.g. Mediterranean, Temperate, Sub-Tropical, Tropical, Polar.
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3
Q

Demographic segmentation

A

Segmentation according to demography is based on consumer- demographic variables such as age, income, family size, socio-economic status, etc.

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4
Q

Demographic segmentation assumes…

A

assumes that consumers with similar demographic profiles will exhibit similar purchasing patterns, motivations, interests and lifestyles and that these characteristics will translate into similar product/brand preferences.

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5
Q

Examples of demographic segmentation

A
  • Age: e.g. Under 5, 5–8 years, 9–12 years, 13–17 years, 18–24, 25–29, 30–39, 40–49, 50–59, 60+
  • Gender: Male, Female.
  • Occupation: Professional, self-employed, semi-professional, clerical/ admin, sales, trades, mining, primary producer, student, home duties, unemployed, retired.
  • Socio-economic: A, B, C, D, E, or I, II, III, IV or V (normally divided into quintiles).
  • Marital Status: Single, married, divorced, widowed.
  • Family Life-stage: Young single; Young married with no children; Young family with children under 5 years; Older married with children; Older married with no children living at home, Older living alone.
  • Family size/ number of dependants: 0, 1–2, 3–4, 5+
  • Income: Under $10,000; 10,000–20,000; 20,001–30,000; 30,001–40,000, 40,001–50,000 etc.
  • Educational attainment: Primary school; Some secondary, Completed secondary, Some university, Degree; Post graduate or higher degree.
  • Home ownership: Renting, Own home with mortgage, Home owned outright.
  • Ethnicity: Asian, African, Aboriginal, Polynesian, Melanesian, Latin-American, African-American, American Indian etc.
  • Religion: Catholic, Protestant, Muslim, Jewish, Buddhist, Hindu, Other.
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6
Q

Generational segments

demographic segmentation

A

refers to the process of dividing and analysing a population into cohorts based on their birth date. A generation is defined as “a cohort of people born within a similar span of time (15 years at the upper end) who share a comparable age and life stage and who were shaped by a particular span of time (events, trends, and developments).”

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7
Q

Examples of generational segments

demographic segmentation

A
  • Builders: born 1920 to 1945.
  • Baby boomers: born about 1945–1965.
  • Generation X: born about 1966–1976.
  • Generation Y: also known as Millennials; born about 1977–1994.
  • Generation Z: also known as Centennials; born 1995–2015.
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8
Q

Generational segments assumes…

demographic segmentation

A

assumes that people’s values and attitudes are shaped by the key events that occurred during their lives and that these attitudes translate into product and brand preferences.

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9
Q

Behavioural segmentation

A

divides consumers into groups according to their observed behaviours.

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10
Q

Examples of behavioural segmentation

A
  • Purchase/Usage Occasion: e.g. regular occasion, special occasion, festive occasion, gift-giving.
  • Benefit-Sought: e.g. economy, quality, service level, convenience, access.
  • User Status: e.g. First-time user, Regular user, Non-user.
  • Usage Rate/Purchase Frequency: e.g. Light user, heavy user, moderate user.
  • Loyalty Status: e.g. Loyal, switcher, non-loyal, lapsed.
  • Buyer Readiness: e.g. Unaware, aware, intention to buy.
  • Attitude to Product or Service: e.g. Enthusiast, Indifferent, Hostile; Price Conscious, Quality Conscious.
  • Adopter Status: e.g. Early adopter, late adopter, laggard.
  • Scanner data from super market or credit card information data.
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