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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Tactical Planning & Execution | 25% | - Efficient Assortment Development - Promotional Strategy & Evaluation - Space Management & Store Clustering - Pricing Strategy & Analysis |
| Topic 2: Category Assessment & Strategy | 25% | - Category Health Measurement - Category Definition, Segmentation & Role - Root Cause Analysis & Insight Generation |
| Topic 3: Data Competency & Analysis | 25% | - Panel Data & Advanced Analytics - Shopper Data & Geo-demographic Analysis - POS Data Analytics |
| Topic 4: Professional Standards & Communication | 10% | - Ethics & Legal Implications - Fact-Based Storytelling & Presentation |
| Topic 5: Business & Supply Chain Knowledge | 15% | - Retailer Economics & Profitability - Supply Chain Principles |
>> Category-Manager Dump File <<
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NEW QUESTION # 20
What does price elasticity measure in the context of pricing strategies?
Answer: C
Explanation:
The correct answer is D .
The CPCM pricing analytics course covers advanced analytic techniques used to assess retailer pricing, including price-setting rules and methods used to evaluate pricing decisions. Price elasticity is one of the core pricing analytics concepts because it measures how demand responds when price changes. Harvard Business Review defines price elasticity as showing how responsive customer demand is for a product based on its price.
Option D is the only answer that correctly describes price elasticity. It is about demand sensitivity to price changes .
Option A is wrong because product quality and satisfaction are consumer perception measures. Option B is seasonality analysis. Option C is advertising or promotion response analysis. None of those define price elasticity.
NEW QUESTION # 21
Which of the following is an effective technique for creating compelling stories using data and analytics in category management?
Answer: C
Explanation:
The correct answer is B .
A compelling fact-based category story is concise, relevant, and persuasive. CMKG's guidance is direct: fact- based presentations should use only relevant facts that support the presentation purpose, and each slide should have a clear purpose, be easy to understand, and include only insights that are compelling for the audience.
Option A is wrong because adding more data does not make a story stronger; it often creates noise. Option C is wrong because technical detail alone does not persuade a buyer or decision-maker. Option D is wrong because visuals without context do not create a story. Category storytelling requires the analyst to connect the facts to the business opportunity, explain why it matters, and identify the action. CMKG describes fact-based skills as going beyond analytics; they are about selling the action and opportunity to internal or external buyers.
NEW QUESTION # 22
Fair Share Analysis compares which of the following?
Answer: C
Explanation:
The correct answer is B .
The CPCM POS Data Analytics area is built around using scanned sales data, key measures, and distribution
/performance definitions to interpret category performance. The CPCM course outline states that the POS Data course covers "retail POS data, including retailer and third-party scanned sales data" and introduces "key measures and definitions." Fair Share Analysis is one of those relative-performance concepts. It compares actual performance against what the business should reasonably capture based on a benchmark, such as ACV share, market share, distribution share, shelf share, or another relevant opportunity base. CMKG explains that Fair Share Index compares a brand's or segment's share of a tactic against its dollar share, making it a benchmark for whether support or performance is proportional to the opportunity.
Option A is wrong because fair share is not simply about equal growth. Option C describes year-over-year performance comparison, not fair share. Option D is too vague and incorrectly implies sales should be evenly distributed. Fair share does not mean equal share; it means expected share relative to a relevant benchmark.
NEW QUESTION # 23
Using the formula for ACV weighted distribution, calculate the ACV for a product available in stores with total sales of $2,000,000 and $3,000,000, in a market where the total sales of all stores are $10,000,000.
Answer: A
Explanation:
The correct answer is C .
The CPCM POS Data course covers scanned sales data and POS measures including distribution analysis. For the calculation itself, ACV Weighted Distribution uses the ACV of the stores carrying the product divided by the total market ACV. NielsenIQ explains the same structure: Total ACV for stores carrying the product ÷ Total ACV for all stores .
The product is available in stores with total sales of:
$2,000,000 + $3,000,000 = $5,000,000
Total market sales of all stores:
$10,000,000
Calculation:
$5,000,000 ÷ $10,000,000 = 0.50 = 50%
Option A is wrong because 30% would only use the $3,000,000 store and ignore the $2,000,000 store. Option B is wrong because the product is not available in all stores. Option D is wrong because 66% does not match the ACV-weighted calculation from the values given.
NEW QUESTION # 24
Which of the following best defines the key stages and components of a retail supply chain?
Answer: C
Explanation:
The correct answer is C .
Retail supply chain is broader than transportation and warehousing. CMKG is very clear that supply chain is
"much more than" moving products and that it affects inventory, forecasting, availability, cash flow, service levels, and shopper experience. That directly supports option C because retail supply chain includes the connected processes and systems that move product efficiently while protecting freshness, cost, availability, and customer satisfaction.
Option A is incomplete because transportation and storage are only part of the supply chain. Option B describes promotion and marketing, not supply-chain management. Option D describes financial planning, which is important, but it is not the full definition of retail supply chain. The best answer must include product flow, waste reduction, freshness, cost, availability, and shopper impact.
NEW QUESTION # 25
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