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Exam (elaborations)

CPCM 000 Final Exam Questions and Answers (Graded A) 2024

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CPCM 000 Final Exam Questions and Answers (Graded A) 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) -Answer-Panel Data guidelines % of Buyers in a particular Demographic Group -Answer-In the context of Consumer Demographics data, "Distribution of Buyers" refers to: False -Answer-Truth or False? The following is an accurate formula for calculating buyer conversion: Category Buyers Shopping in Category ÷ Total Buyers Category Leakage -Answer-The loss of $ Volume in a Category stemming from a Retailer's current Shopper purchasing the same Category in a Competitive Retailer Measures -Answer-Which of the following is not a typical type of Custom Aggregate that can be provided by Syndicated data providers such as Nielsen and I R I? Competitive Gap analysis -Answer-Which of the following evaluations is least likely to be done with Point-of-Sale data in isolation from other available data? Average Household Expenditures: Spending $ per household Shopper Conversions: % of a banner's Shoppers purchasing the product group within that banner $ Share of Requirements: % of category $ spent in all outlets on the product group Penetration: % of households that bought the product group -Answer-Shopper Panel Measure definitions Incremental -Answer-If your overall Brand Strategy is to drive sales through Trade Spend, then _________ Sales growth is critical. Assortment -Answer-A combination of POS for sales results + Retail Measurement data for item market opportunities + Consumer Decision Tree data would result in what type of cross data analysis? Ensure that the data has been properly segmented -Answer-Which of the following is the LEAST important consideration when combining data SOURCES to draw insights? Baseline Drivers -Answer-Product Distribution. Regular/Base Price. Shelving. New Product launch. Marketing. Direct Mail campaign. Incremental Drivers -Answer-Ads/Circulars TPR/Promoted Price Price reduction Promotion Display $ per Buyer formula -Answer-Number of Purchase Occasions times (x) $ per Trip Penetration formula -Answer-Number of Households buying the product group ÷ Total number of Households Share of Requirements formula -Answer-Brand A Volume purchased ÷ Category Volume purchased by Brand A Buyers times (x) 100 % Repeat Buyers formula -Answer-Number of Buyers who purchased Brand A more than once ÷ Total number of Brand A Buyers Terms on the left, best description on the right -Answer-* The most important tactic: Assortment - "no distribution = no sales" * Item level or SKU level: Lowest product level in a Retailer's assortment * "In distribution": Regularly stocked and available items * Merchandise Mix or Product Range: A Retailer's product offering Assortment Strategies -Answer-Market Coverage Objective: Focus on the top items being sold in the total market using a target coverage objective Private Label Strategy: Limited national brand presence, with focus on Private Label Quality Level: Premium products targeted to high income customers OR less expensive, lower quality items Large Size Strategy: Majority of brands and segments represented through large sizes only First to Market: Focus on "speed to market" for all new product launches Broad Assortment: Stock as many items as possible. Offer unique & different products. Sales per Point of Distribution -Answer-Which Assortment analytic is LEAST EFFECTIVE at a Brand and Segment level [before completing Item Level analysis]? Assortment measures -Answer-Share per SKU: Gives an average share that each item in a product grouping carries [e.g. Brand or Segment]. Item Share: Calculates the percentage of items that each Brand or Segment carries. Fair Share Index: Comparison between a Brand or Segment's Share of Items and their Category $ share. The target number of items -Answer-Pareto Curve analysis helps you to deter

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