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Iris > 实例探究 > 通过客户价格感知洞察改进零售定价策略
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Enhancing Retail Pricing Strategy through IoT

适用行业
  • 零售
适用功能
  • 采购
  • 产品研发
用例
  • 实验自动化
服务
  • 测试与认证
挑战
英国主要零售商需要了解关键价值驱动因素和价格认知,以改进其零售定价策略。
关于客户
该客户是一家英国大型零售商,希望改进其零售定价策略。
解决方案
该项目涉及通过焦点小组进行的定性研究和通过在线小组进行的定量研究,以了解客户价值感知的挑战以及定价和菜单设计的作用。提供了解决价值感知和价格感知问题的建议,以及用于市场测试的两个原型菜单板。
运营影响
  • The project resulted in a clear understanding of all customer value perception challenges and the role pricing and menu design plays within this. The retailer now has a detailed view on the customer pricing/value issues and potential menu design formats to take to in-market testing. The project also resulted in recommendations for addressing value-perception issues and price-perception issues, including forecasted impact on sales volumes. Two prototype menu boards were also developed to take to in-market testing. This has enhanced the retailer's pricing strategy and improved customer satisfaction.
数量效益
  • Insights on key value drivers
  • Insights on price perceptions
  • Overall price satisfaction

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