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| Section | Objectives |
|---|---|
| Fact-Based Selling and Storytelling | - Communication and Insights
|
| Category Health and Assessment | - Category Performance Evaluation
|
| Assortment and Space Management | - Retail Optimization
|
| Retail Economics and Supply Chain | - Business Operations
|
| Pricing and Promotion Analytics | - Commercial Strategy
|
| Shopper and POS Data Analytics | - Building Data Competency
|
>> Category-Manager Valid Study Notes <<
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NEW QUESTION # 69
What is Brand A's Item Share based on the information below?
* Brand A has 32 items
* Brand B has 15 items
* Total Category has 108 items
Answer: A
Explanation:
The correct answer is C .
Item Share measures the percentage of total category items represented by a brand, segment, or subcategory.
CMKG gives the efficient assortment formula as Item Share = number of items by subcategory / number of items in category .
For Brand A:
Brand A items = 32
Total category items = 108
Calculation:
32 ÷ 108 = 0.2963 = 29.6%
So Brand A's Item Share is 29.6 .
Option A, 13.9, is Brand B's share: 15 ÷ 108 = 13.9% . Option B, 46.8, incorrectly combines Brand A and Brand B: 47 ÷ 108 = 43.5% , so it does not match the correct item-share calculation. Option D, 15.7, is not supported by the given item counts.
NEW QUESTION # 70
Which of the following is a key benefit of using POS, loyalty, and market data in supply chain management?
Answer: A
Explanation:
The correct answer is D .
POS, loyalty, and market data improve supply-chain planning because they give the organization a clearer picture of real shopper demand, product movement, and market behavior. CMKG connects supply chain directly to forecasting and availability, which are exactly the areas improved by better demand signals. In retail and CPG, sharing checkout and shopper-purchase data is commonly used to improve demand forecasting and avoid out-of-stock situations.
Option A is wrong because better data does not remove the need to monitor KPIs; it makes KPI monitoring more accurate. Option B is wrong because data usually increases the need for retailer-supplier collaboration.
Option C is unrealistic because no data system can guarantee every SKU is always in stock. Option D is the correct practical benefit: better forecasting and fewer stockouts.
NEW QUESTION # 71
Which of the following purchase behaviors best explains the category performance?
Dollars: +5%
Number of Households: +2%
Trips per Household: -2%
Units per Trip: +3%
Dollars per Unit: +2%
Answer: A
Explanation:
The correct answer is C .
The category dollars increased by +5% . To identify what best explains that performance, compare the listed purchase-behavior drivers. The strongest positive driver shown is Units per Trip at +3% . Number of Households is also positive at +2%, and Dollars per Unit is positive at +2%, but neither is as strong as Units per Trip. Trips per Household is negative at -2% , so it cannot be the best explanation for growth.
CMKG's shopper analytics explanation supports this type of driver analysis. It explains that sales are driven by household purchasing behavior and spending, and gives the formula: Total Number of Buying Households × Spend per Buying Household = Dollar Sales . CMKG further breaks spending into purchase occasions and spend per trip, which is exactly the kind of logic tested in this question.
Option A is wrong because total baskets are not clearly increasing; the household gain is offset by the decline in trips per household. Option B is partially correct but not the strongest driver. Option D is also positive, but
+2% is lower than the +3% gain in units per trip.
NEW QUESTION # 72
What is the primary benefit of planning high-ROI promotions?
Answer: A
Explanation:
The correct answer is B .
High-ROI promotions are valuable because they generate better financial return from the promotional investment. The CPCM course states that promotion is "a key driver of incremental sales" and that retailers need to understand promotion planning, execution, assessment, and the factors that affect promotion outcomes. It also places retailer economics inside the CPCM curriculum, including how retail math works, what drives the retailer's financial statement, and calculations that tie to retail results.
Option B is the only answer that connects promotional spending to return. A high-ROI promotion does not merely create sales; it creates stronger sales or profit impact relative to the dollars invested. Option A is wrong because high-ROI planning does not eliminate the need to optimize frequency. Option C is wrong because successful promotions are often targeted, not identical for all shoppers. Option D is wrong because vendor funding may still be part of promotion economics; ROI analysis determines whether the investment is productive, not whether vendor funding is unnecessary.
NEW QUESTION # 73
What is the primary purpose of gathering Shopper Data in category management?
Answer: A
Explanation:
The correct answer is C because category management uses shopper data to convert facts into insights and then convert insights into category actions. CPCM/CMKG states that learners need to "dive deeper into your data and draw insights from it," while keeping "the Shopper and their needs in mind." The same source then states that once category opportunities are identified, tactics such as assortment, space, pricing, and promotion
"create action for the category."
That is exactly what the answer says: shopper data is gathered to identify insights that guide actions and decisions. The purpose is not to collect data for its own sake. The value comes from using shopper behavior to improve category decisions.
Option A is wrong because shipping is a supply-chain process. Option B is wrong because adding more products is not automatically good category management; assortment decisions must be shopper-led and financially justified. Option D is wrong because employee performance belongs to store operations, not shopper analytics.
NEW QUESTION # 74
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