Marketing Segmentation

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46 Terms

1
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What does Volume in Big Data mean?

The sheer amount of data (petabytes+), including transaction data, social media streams, sensors. Challenge is finding relevance, not just storage.

2
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What does Velocity in Big Data mean?

The speed of data flow (real-time streaming, RFID, sensors). Must be processed in near real-time.

3
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What does Variety in Big Data mean?

Data formats differ: structured (databases) + unstructured (text, email, video, audio).

4
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What does Veracity in Big Data mean?

The accuracy/truth of data. Example: sarcasm, fake reviews, sentiment analysis errors.

5
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What does Variability in Big Data mean?

Inconsistencies in data flow, like seasonal spikes or trending topics.

6
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What does Value in Big Data mean?

The usefulness of data. Turning information into insights and business outcomes.

7
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What is Production Orientation?

(1850s–1920s) Focus on production efficiency. Demand > Supply.

8
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What is Sales Orientation?

(1930s–1950s) Focus on selling aggressively. Supply > Demand.

9
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What is the Marketing Concept?

(1950s–now) Focus on customer needs and satisfaction better than competition.

10
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What is the Production Concept?

Consumers prefer affordable, widely available products. Focus: efficiency & distribution.

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What is the Product Concept?

Consumers prefer high-quality, innovative products. Risk: ignoring what the market needs.

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What is the Selling Concept?

Customers won’t buy enough unless aggressively sold to. Focus: persuasion, not need.

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What are the four pillars of the Marketing Concept?

Target market, customer needs, integrated marketing, profitability.

14
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What are the 4 elements of the Marketing Mix?

Product, Place, Price, Promotion.

15
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Steps of the Search-to-Purchase Funnel?

Awareness → Familiarity → Consideration → Purchase → Loyalty.

16
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Steps of the Consumer Decision Journey?

Consider → Evaluate → Buy → Enjoy → Advocate → Bond (loyalty loop).

17
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What are innate needs?

Physiological/biogenic needs (primary).

18
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What are acquired needs?

Learned from culture/environment (secondary).

19
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What is extrinsic motivation? Examples?

Doing something for rewards/recognition.

  • Work: money, promotions

  • Religious: reward/punishment

  • Academic: grades

  • Emotional: popularity

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What is intrinsic motivation? Examples?

Doing something for personal satisfaction.

  • Work: pride in creation

  • Religious: charity, selflessness

  • Academic: eagerness to learn

  • Emotional: self-esteem, belonging

21
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What is apathetic motivation?

Neutral motivation. Independent of intrinsic/extrinsic, still influences adoption of technology.

22
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What are the 10 high-impact motivators?

Stand out, confidence in future, well-being, freedom, thrill, belonging, protect environment, be who I want to be, feel secure, succeed.

23
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What are the 3 phases of leveraging emotional motivators?

1) Inventory existing data, 2) Analyze best customers, 3) Commit to emotional connection as growth strategy.

24
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What are the major origins of culture?

Geography, History, Political Economy, Technology, Social Institutions.

25
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What are the major elements of culture?

Rituals, Symbols, Beliefs, Thought processes, Cultural values.

26
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What are Hofstede’s 4 cultural dimensions?

  • Individualism vs Collectivism → self vs group orientation

  • Power Distance → hierarchy vs equality

  • Uncertainty Avoidance → comfort with risk/ambiguity

  • Masculinity vs Femininity → achievement/assertiveness vs quality of life/care

27
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What do Hofstede’s measures actually measure?

Cultural values at the national/societal level (not individuals). Apply to work culture, consumer culture, and social norms.

28
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What are the 4 types of nonprobability sampling?

Convenience, Judgmental, Quota, Snowball.

29
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What are the 4 types of probability sampling?

Simple random, Systematic, Stratified, Cluster.

30
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What 3 data sources were used in the Deli Meat segmentation?

Industry expertise, NPD survey data, Client segment definitions.

31
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What 5 data sources were used in the Italian Sausage segmentation?

30+ years of consumption, consumer attitudes/behavior, diet/nutrition, snacking, shopper insights.

32
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In the Italian Sausage segmentation, what did they learn?

Convenience and versatility (not indulgence/heritage) drive purchases.

33
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What is the top news source for Boomers, Gen X, Millennials, Gen Z?

All = TV.

34
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Percent who say meals are not technology-free?

Boomers 52%, Gen X 45%, Millennials 40%, Gen Z 38%.

35
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Percent who eat out at least once per week?

Boomers 29%, Gen X 44%, Millennials 58%, Gen Z 46%.

36
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Top spare time activity for each group?

Boomers/Gen X/Millennials = Watch TV, Gen Z = Listen to music.

37
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Who is job loyal?

Millennials aren’t; Gen X and Boomers are more loyal

38
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What did Asian consumers rethink post-COVID?

Ate at home more, bought fresh food, more willing to buy produce online.

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What are the 6 thresholds of COVID-19 consumption?

Proactive health, Reactive health, Pantry prep, Quarantined living, Restricted living, Living a new normal.

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What are the 3 major benefits of market segmentation?

More effective marketing programs, better resource allocation, new product opportunities.

41
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What are the 4 major bases of segmentation?

Geographic, Demographic, Psychographic, Behavioral.

42
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If given an example (ex: education), how to classify?

Education → Demographic segmentation.

43
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What is a Nominal scale? What can you do with it?

Labels/categories, no order. Stats: counts, mode.

44
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What is an Ordinal scale? What can you do with it?

Ranked order, but no equal intervals. Stats: median, percentiles.

45
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What is an Interval scale? What can you do with it?

Equal intervals, arbitrary zero. Stats: mean, SD. Ratios not meaningful.

46
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What is a Ratio scale? What can you do with it?

Equal intervals + absolute zero. All statistics possible, ratios meaningful.