research of female consumer behavior in cosmetics market case study of female consumers in hsinchu...
DESCRIPTION
Research of Female Consumer Behavior inCosmetics Market Case Study of FemaleConsumers in Hsinchu Area TaiwanTRANSCRIPT
Submitted By:-Siddhartha Bhagat (10609176)
STATEMENT OF DISCUSSION
Research of Female Consumer Behavior in Cosmetics Market Case Study of Female Consumers in Hsinchu Area Taiwan
Subject:- Marketing ManagementPresented to:- Mr. S.Suresh
EYE CATCHING ISSUES
6 Types of Female Consumers
ANOVA tables
Analysis of demographic variance
Problem ‘n’ Objective
Hypothesis of Research
Recommended Solution
6 Types of Female Consumers
1. Active consumer 2. Traditional consumer 3. Enthusiastic consumer 4. Impulsive consumer 5. Practical consumer 6. Cautious consumer
Market Research shows that there are these 6 types of female consumers, who basically divides and dominates the whole cosmetic market
ANOVA of lifestyle in product attributes
ANOVA of lifestyle to product result
ANOVA of lifestyle to product vale
Analysis of demographic variance
Problem ‘n’ Objective
Consumer Demand does not rely on demographic variance.
Consumer preference varies from lifestyle to lifestyle
As, General also depends upon the budget of the consumer.
Consumers age, occupation, educational degree, occupation and marital status.
HYPOTHESIS
Hypothesis 1 (H1): There is significant difference between consumers of different lifestyle in each attribute.
H1.1: There is significant difference between consumers of different lifestyle in attribute (tangible).
H1.2: There is significant difference between consumers of different lifestyle in attribute (intangible).
Hypothesis 2 (H2): There is significant difference between consumers of different lifestyle in each result.
H2.1: There is significant difference between consumers of different lifestyle in result (functionality).
H2.2: There is significant difference between consumers of different lifestyle in result (psycho-social nature).
HYPOTHESISHypothesis 3 (H3): There is significant difference between consumers of differentlifestyle in each value.
• H3.1: There is significant difference between consumers of different lifestyle in value (self-respect).• H3.2: There is significant difference between consumers of different lifestyle in value (self-satisfaction).• H3.3: There is significant difference between consumers of different lifestyle in value (excitement).• H3.4: There is significant difference between consumers of different lifestyle in value (sense of
accomplishment).• H3.5: There is significant difference between consumers of different lifestyle in value (fun and enjoyment).• H3.6: There is significant difference between consumers of different lifestyle in value (warm relations with
others)• H3.7: There is significant difference between consumers of different lifestyle in value (sense of belonging).• H3.8: There is significant difference between consumers of different lifestyle in value (security).• H3.9: There is significant difference between consumers of different lifestyle in value (reverence ).
HYPOTHESISHypothesis 4 (H4): There is significant difference between consumers with different demographic variables invalued product attrite - value - result.
• H4.1: There is significant difference between women of different age in valued product attribute.• H4.2: There is significant difference between women of different marital status in valued product attribute.• H4.3: There is significant difference between women with different education degree in valued product attribute.• H4.4: There is significant difference between women with different occupation in valued product attribute.• H4.5: There is significant difference between women with different monthly income in valued product attribute.• H 4.6: There is significant difference between women with different monthly budget on non-necessities expenses• in valued product attribute.• H4.7: There is significant difference between women with different monthly budget for purchasing cosmetics• in valued product attribute.• H4.8: There is significant difference between women different in age started to use skin care product in valued• product attribute.• H4.9: There is significant difference between women different in age started to apply color cosmetics in valued• product attribute.• H4.10: There is significant difference between women with different shopping information sources in valued• product attribute.
Recommended Solution
Tailor-made Marketing should be conducted so that a the targeted segment can be dealt with more seriousness.
The cosmetics industry is supposed to better understand the expectation put forward by cosmetics consumers as well as the significance of the value.
As to the analytic data demographic, lifestyle, and value, could assist cosmetics industry in designing the future marketing strategies.
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