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The university marketing analytics student

   

Added on  2022-09-18

9 Pages2454 Words26 Views
Marketing Analytics
1
University
Marketing Analytics
Student name
Professor’s name
Program of Study
The university marketing analytics student_1
Marketing Analytics
2
Executive Summary
The Cereal bar manufacturer Carman’s kitchen offers premium cereal
bars which cover at least five different flavors under the brand name
“Carman’s”. The market of the Carman’s kitchen has stood at 20% making it be
competent among other competing players such as Kellogs and Uncle Tobys.
The data for decision making on the best strategy was collected from the
Australian supermarket chain for a period of 26 weeks. The results show that
the 4th strategy has the leading value of 1554; this implies that many clients in
one way or the other prefer to wait for the promotion period before buying or
taking advantage of the lower price.
Again, all the 4 strategies help to predict the effective promotion of sales, (F=
8.1052, p- value= .0005297. Therefore, it is recommended that the 4th strategy
should be adopted by the company since it has the largest sales category, largest
brand sales and the largest market share compared to other strategies. In
conclusion, the company can consider the promotion strategy of 20% price
reduction with a feature in the weekly catalog given the fact that it is likely to
attract new buyers thus leading to the encouragement of the switching
to other brands.
The university marketing analytics student_2
Marketing Analytics
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Table of Content
Executive Summary..............................................................................................2
Introduction...........................................................................................................4
Methodology.........................................................................................................4
Findings................................................................................................................5
The net impact of promotion.............................................................................5
Linear regression modelling..............................................................................6
Recommendations.................................................................................................6
Conclusion............................................................................................................7
References.............................................................................................................8
The university marketing analytics student_3

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