A. Increase in Total Baskets

B. Increase in Dollars per Unit

C. Increase in Number of Households

D. Increase in Units per Trip

A. They ensure all shoppers receive the same promotional offers

B. They reduce the need for vendor funding contributions

C. They eliminate the need for promotional frequency optimization

D. They deliver stronger sales per dollar spent, maximizing return

A. Stores 100, 103, 107 and 108

B. Stores 101, 103, 106 and 107

C. Stores 100 and 108

D. Stores 103 and 107

A. Focus Groups and In-Store Observations

B. Social Media Analytics and Web Traffic Data

C. Retail POS Data and Syndicated POS Market Data

D. Loyalty Card Data and Household Panel Data

A. Internal POS Data

B. Syndicated POS Data

C. Shopper Metrics (trips and baskets)

D. Internal Profit Data

A. To manage supply chain operations and inventory levels.

B. To create a long-term business plan for overall company growth.

C. To drive product awareness, increase sales, and influence shopper behavior through targeted promotions.

D. To determine the pricing strategy for all products in the store.

A. The impact of advertising on sales volume

B. How sensitive customer demand is to price changes

C. The relationship between product quality and customer satisfaction

D. How seasonal trends affect customer demand

A. To predict future consumer trends without additional analysis

B. To monitor employee performance at checkout

C. To track inventory levels in real-time

D. To provide insights into category performance and guide decision-making.