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Abstract
The Aloe Vera industry in Tamaulipas operates as an oligopsony with frequent oversupply
problems for the small producers. This situation leads to evaluate new business opportunities,
such as transformation and sale of Aloe Vera final products in the metropolitan area of
Monterrey, N.L. Since knowing the client's profile facilitates the design of more effective
market strategies for the companies, it was carried out a study to determine the variables
associated with bought product quantity by the families, and define the Aloe Vera products
consumer's profile in Monterrey. The study researched on possible differences among the
consumer and not consumers groups of Aloe Vera products, and it settled down as hypothesis
that consumer characteristics of Aloe Vera products are related with the consumption levels of
this type of products.
Data were obtained of a sample of 40 selected elements in a random way. The instrument to
obtain the information was a questionnaire applied by means of an interview to people that
walked in Andador Morelos. The considered variables were: Purchase of Aloe Vera products,
bought quantity and purchase value; besides variables to build the consumer's profile: Sex,
marital status, schooling grade, occupation, ownership to a family, number of members, family
role, type and level of household income.
The data analysis was carried out with the SPSS statistical package using the Contingency
Table (X2) (Barnard´s Test) for the case of the qualitative variables and the test of two
independent populational means (t-Student test) for the quantitative variables. A correlation
analysis was also made in order to identify the relationship of the variables with the
consumption and purchase of Aloe Vera products.
Results of Contingency Table (AC) (X2) showed that the qualitative variables with
significantly higher level in the test (higher than 0.1) they were the variable sex, ownership to a
family and occupation. On the other hand the t-Student test showed the existence of significant
differences among the analyzed groups for the variable known products and the interviewees'
age. Finally, the profile was built with the variables statistically significant.