Shopper Analytics

Analyze Factors Determining Shopper In-Store Purchase Decision Making

According to surveys, the proportion of shoppers who decide which product they should buy in a store is about 70%, but this figures varies depending on the product category and distribution channel. This means that improved awareness of a product by itself does not raise its sales. Shopper Analytics is a tool to propose what approaches are required to make shoppers who have not decided which product they will buy before coming to a store and shoppers who already decided which product they will buy before coming to a store buy the client’s brand. This tool identifies which in-store elements influence shoppers’ decision making regarding whether to buy a product or not, which brand they buy if buying, or how many units of the product they buy. Based on the results, the client can allocate his budget for communicating more efficiently by prioritizing marketing activities that most influence consumer purchasing behavior.

Shopper Analytics
Characteristics of Shopper Analytics
  • Measures the impact that each in-store activities, such as POP displays, sale by recommendation, price appeal, special displays, and on-package promotion, have on consumer purchasing behavior.
  • Identifies elements that have an impact on the purchase decision-making process by the type of distribution channel.
  • Identifies which competing brands win customers.

※ This tool is operated on the Web and does not require installation of additional software.
※ Shopper Analytics is an OgilvyAction proprietary tool.

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