Cpcm assortment analysis - Study guides, Class notes & Summaries

CMKG CPCM Mini Exams Questions and Answers D. Cannibalization -Answer-A Retailer introduces a new item in Category A that causes Category B buyers to switch their purchases from Category A to Category B. What is this an example of? A. Brand extension B. Incremental contribution C. Product Line extension D. Cannibalization True (space planning) -Answer-True or false? When you're completing an assortment and space planning project, it's best to import the item level data directly into t...

CPCM Final Exam (questions and answers) 2024 Data Sharing: (Can share Competitive Data with Retailers & Vendor partners can share it with me) Data Considerations: (Need to understand which measures are additive) Trends Analysis: (Can compare Quarterly data to understand Seasonality and Annual data for overall Trends) Data Significance: (Need to confirm if # of Buyers is large enough) - CORRECT ANSWER-Panel Data guidelines % of Buyers in a particular Demographic Group - CORRECT ANSWE...

CMKG CPCM Practice Exams 2024 A. Market shares. Through a compilation of banners in the data. -Answer-Which of the following analytics is NOT available in retailer POS data? A. Market shares. Through a compilation of banners in the data. B. All of these analytics are available in retailer POS data. C. Trends. Through time variations available in the data. D. Sales and profit analysis. Through total store, aisle, department, brand, and segment. E. Shopper insights. Through transactional an...

CMKG CPCM Exams 2024 final for actual exam D. Cannibalization - CORRECT ANSWER-A Retailer introduces a new item in Category A that causes Category B buyers to switch their purchases from Category A to Category B. What is this an example of? A. Brand extension B. Incremental contribution C. Product Line extension D. Cannibalization True (space planning) - CORRECT ANSWER-True or false? When you're completing an assortment and space planning project, it's best to import the item lev...

CPCM Final Exam (questions and answers) 2024 Data Sharing: (Can share Competitive Data with Retailers & Vendor partners can share it with me) Data Considerations: (Need to understand which measures are additive) Trends Analysis: (Can compare Quarterly data to understand Seasonality and Annual data for overall Trends) Data Significance: (Need to confirm if # of Buyers is large enough) - CORRECT ANSWER-Panel Data guidelines % of Buyers in a particular Demographic Group - CORRECT ANSWE...

CPCM Course 9 Space Management Fundamentals 2024 Exam B. Retailer strategies -Answer-"Maximize shopper friendliness", "first to shelf', "minimize out of stocks", and "minimize excess inventory" are examples of what? A. Category roles B. Retailer strategies C. Consumer decision trees D. Category strategies D. fixture dimensions -Answer-Fill in the blank. There are many inputs required to develop effective planograms, including product information, retailer strategy and ___________...

CPCM Course 9 Space Management Fundamentals 2024 Exam B. Retailer strategies -Answer-"Maximize shopper friendliness", "first to shelf', "minimize out of stocks", and "minimize excess inventory" are examples of what? A. Category roles B. Retailer strategies C. Consumer decision trees D. Category strategies D. fixture dimensions -Answer-Fill in the blank. There are many inputs required to develop effective planograms, including product information, retailer strategy and ___________...

CMKG CPCM Practice Exams Questions and Answers A. Market shares. Through a compilation of banners in the data. Which of the following analytics is NOT available in retailer POS data? A. Market shares. Through a compilation of banners in the data. B. All of these analytics are available in retailer POS data. C. Trends. Through time variations available in the data. D. Sales and profit analysis. Through total store, aisle, department, brand, and segment. E. Shopper insights. Through trans...

CPCM Final Exam (questions and answers) 2024 Data Sharing: (Can share Competitive Data with Retailers & Vendor partners can share it with me) Data Considerations: (Need to understand which measures are additive) Trends Analysis: (Can compare Quarterly data to understand Seasonality and Annual data for overall Trends) Data Significance: (Need to confirm if # of Buyers is large enough) - CORRECT ANSWER-Panel Data guidelines % of Buyers in a particular Demographic Group - CORRECT ANSWE...