代做ABS2603 Marketing Research and CRM Coursework 2调试R语言程序

ABS2603 Marketing Research and CRM

Coursework 2 Individual Customer Insight Report.

The due date for the assignment is 8th of May at 23:55.

· This assignment contributes to 50% of the overall module grade.

· The word limit of this assignment is 2000 words +/- 10% which does not include referencing and title page. Where an assignment exceeds the stated word limit, the following will apply:

a. Award a mark that reflects deficiencies in the work as submitted, that is in line with explicit marking criteria and is proportionate to the extent to which the word limit is exceeded or

b. disregard work submitted above the word limit.

· Assignments are to be submitted through Turnitin in Blackboard. You can submit your assignment multiple times up until the deadline. Once the submission date has passed, the system will not allow re-submission.

· Students may request an extension to the stipulated due date. To request an extension, you will need to log into My Bangor https://my.bangor.ac.uk/en/ and locate the request centre from the drop-down list of the Online Services tab.

· Where an assignment is late without an agreed extension, the following rules will apply without prejudice:

a. Submitted up to 7 days after the original submission date - Assignment will be capped at the lowest possible passing grade, which at 40%.40%.

b. Submitted after 7 days without a valid extension – Assignment will be zero graded.

Before submitting your assignment, please ensure that it is properly referenced to guard against accusations of malpractice. Guidance on referencing can be found at Teaching & Learning Support Resources Gateway and Referencing for Bangor Business School.

· You are reminded not to copy material from any sources without properly referencing it, as this constitutes plagiarism. Plagiarism is defined as using without acknowledgement another person’s words or ideas and submitting them for assessment as though it were one’s own work. This includes copying materials from the internet, unfair use of generative artificial intelligence software such as Chat GPT, rewriting published material without acknowledging the source and the translation of materials using unauthorised methods or essay mills. Cases of plagiarism will be referred to the Business School Academic Integrity Officer for investigation and may be subject to a deduction of marks, which can result in an overall mark of 0%.

You are reminded that the use of such services to generate work in substitute for your original contributions contravenes Bangor’s Academic Integrity policy. Any detected attempt to use such tools will also result in a referral to the Business School Academic Integrity Officer.  Academic Integrity Procedure: https://www.bangor.ac.uk/regulations/procs/proc05.php.en.

COURSEWORK DETAILS

Module Name: Marketing Research and CRM

Module Code: ASB2603

Module Co-ordinator: Beata Kupiec-Teahan

Individual Customer Insight Report CW 2 (50% weighting) is designed to assess the following Learning Outcomes in the Module:

LO2. Demonstrate an ability to explain and discuss the importance of information and research in marketing decisions, the stages involved in the marketing research process, and the usefulness of different marketing research concepts and techniques.

LO4. Demonstrate an ability to explain and discuss the roles of primary and secondary data, and the different types of qualitative and quantitative data collection methods for Marketing Research and CRM purposes.

LO6. Use Statistical Package for the Social Sciences (SPSS) and associated statistical techniques to tackle basic marketing research problems.

Assignment Details

Title: Individual Customer Insight Report

Instructions: You are required to complete and report on a Marketing Research project (details given below).

Your report should be written in a style. and format that would be of interest to a Board of Directors and the Marketing Team in a (fictitious) Game Meat company located in Scotland. The company plans to expand their business and enter EU market. Your job is to perform. secondary research and analysis of existing dataset containing data from 10 European countries. The data originate from a survey on perception and characteristics of game meats and reasons for its consumption. Original data set is available at Harvard Dataverse: https://doi.org/10.7910/DVN/XK9VS9.. The report should be a stand-alone document containing all necessary information regarding the whole marketing research project (excluding details of the research methodology).

The objectives of this Marketing Research projects are as follows:

1. Write short game meat market overview to provide current consumer trends in the EU countries.

2. Analyse the frequency and types of game meat consumption across different demographic categories and identify trends and patterns in consumption behaviour.

3. Evaluate the attributes of game meat that are most valued by consumers and identify regional preferences.

4. Identify the reasons behind game meat consumption and key factors influencing consumer choices.

5. Based on the insights gained and market overview, suggest promotional activities, product positioning, and messaging that align with consumer preferences and motivations.

6. Assess the relevancy, adequacy, and limitations of the data set you used to write your Customer Insight Report. Include evaluation of the data collection method used in the survey.

Guidelines:

In order to achieve the above objectives your report should encompass the following:

1. An executive summary (no more than 100 words).

2. An introduction to the game meat market in the EU using secondary research to scope the issues Scottish game producer should know when introducing their product to European consumers (approx. 500 words).

3. Report of the analysis and discussion of the quantitative results (approx. 1000 words) in the following sub-sections:

a) Descriptive statistics: Frequency Distribution: Calculate the frequency of consumption, types of game meat consumed, and other categorical variables to understand the distribution of responses. Measures of Central Tendency: Use mean, median, and mode to summarize the central values of data. Measures of Dispersion: Calculate the range, variance, and standard deviation to understand the spread of data. As visualising the findings effectively is crucial for communicating insights clearly you need to include charts/graphs.

b) Cross-tabulation: Create cross-tabulations to examine the relationships between different variables (e.g., frequency of consumption by country). Run at least three chi-square analyses that would provide useful insight to the reader.

c) Comparison of means T-test and ANOVA: Compare the importance of specific game meat attributes (e.g., taste, nutritional benefits) between different respondents’ group. (e.g., males vs. females, different age groups

4) Based on your prior quantitative analyses and reflecting on your knowledge of qualitative research gained while compiling this Report, conclude with the following subheadings (approx. 400 words):

a) Discussion and limitations

b) Marketing recommendations - including but not limited to, segmentation strategy, positioning and marketing communications the Scottish company should employ when entering EU markets.

Submission:

Submit your essay as a Word document or PDF file to Turnitin. Include a title page with your name, student ID, course title, and date of submission. Please follow these formatting guidelines: Font / Size: Arial or Times New Roman 12; Spacing: 1.5; Margins: At least 2.54 to left and right and text ‘justified’.

Assessment Criteria:

· Correct application of data analysis methods (e.g., descriptive statistics, t-tests).

· Depth of insights derived from the data, including identification of key trends and patterns.

· Relevance of the analysis to the project objectives and the market expansion strategy.

· Clarity and coherence of writing.

· Proper citation and referencing.

Detailed assessment criteria for categorical marks are listed at the end of this document.

Good luck with your report! If you have any questions or need further clarification, feel free to ask me during workshops, via email or come and see me during office hours Mondays 13.30-14.30 and Tuesdays 11.30- 12.30. My office is in Alun Building room 3.01, third floor.




热门主题

课程名

mktg2509 csci 2600 38170 lng302 csse3010 phas3226 77938 arch1162 engn4536/engn6536 acx5903 comp151101 phl245 cse12 comp9312 stat3016/6016 phas0038 comp2140 6qqmb312 xjco3011 rest0005 ematm0051 5qqmn219 lubs5062m eee8155 cege0100 eap033 artd1109 mat246 etc3430 ecmm462 mis102 inft6800 ddes9903 comp6521 comp9517 comp3331/9331 comp4337 comp6008 comp9414 bu.231.790.81 man00150m csb352h math1041 eengm4100 isys1002 08 6057cem mktg3504 mthm036 mtrx1701 mth3241 eeee3086 cmp-7038b cmp-7000a ints4010 econ2151 infs5710 fins5516 fin3309 fins5510 gsoe9340 math2007 math2036 soee5010 mark3088 infs3605 elec9714 comp2271 ma214 comp2211 infs3604 600426 sit254 acct3091 bbt405 msin0116 com107/com113 mark5826 sit120 comp9021 eco2101 eeen40700 cs253 ece3114 ecmm447 chns3000 math377 itd102 comp9444 comp(2041|9044) econ0060 econ7230 mgt001371 ecs-323 cs6250 mgdi60012 mdia2012 comm221001 comm5000 ma1008 engl642 econ241 com333 math367 mis201 nbs-7041x meek16104 econ2003 comm1190 mbas902 comp-1027 dpst1091 comp7315 eppd1033 m06 ee3025 msci231 bb113/bbs1063 fc709 comp3425 comp9417 econ42915 cb9101 math1102e chme0017 fc307 mkt60104 5522usst litr1-uc6201.200 ee1102 cosc2803 math39512 omp9727 int2067/int5051 bsb151 mgt253 fc021 babs2202 mis2002s phya21 18-213 cege0012 mdia1002 math38032 mech5125 07 cisc102 mgx3110 cs240 11175 fin3020s eco3420 ictten622 comp9727 cpt111 de114102d mgm320h5s bafi1019 math21112 efim20036 mn-3503 fins5568 110.807 bcpm000028 info6030 bma0092 bcpm0054 math20212 ce335 cs365 cenv6141 ftec5580 math2010 ec3450 comm1170 ecmt1010 csci-ua.0480-003 econ12-200 ib3960 ectb60h3f cs247—assignment tk3163 ics3u ib3j80 comp20008 comp9334 eppd1063 acct2343 cct109 isys1055/3412 math350-real math2014 eec180 stat141b econ2101 msinm014/msing014/msing014b fit2004 comp643 bu1002 cm2030
联系我们
EMail: 99515681@qq.com
QQ: 99515681
留学生作业帮-留学生的知心伴侣!
工作时间:08:00-21:00
python代写
微信客服:codinghelp
站长地图