- 1、本文档共49页,可阅读全部内容。
- 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
- 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载。
- 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
流程图大全页V版本.ppt
流程:线性 影响因素: 整体/部分: 矛盾: Understanding buyer values helps prove or disprove current hypotheses as well as generate strategy solutions. Organizational beliefs and strategy alternatives identified in the situation assessment are translated into hypotheses for testing. Identifying Buyer Value-Based segments creates the foundation for creating the distribution channel strategy and design. Value based segment strategies can produce incremental revenues of $700 million and reduce costs up to $150 million. Its critical to define what factors or “attributes” are important when consumers decide to purchase from one provider versus another. With traditional research, when you ask how important any particular feature is individually, consumers tend to say each is very important. Based on answers to the tradeoff questions, buyer values are calculated and respondents are grouped by “like” values to help identify target segments. These groups or segments of consumers not only have different profit potentials... In summary, using value based segmentation is a powerful tool to improve a client’s bottom line. Based on Andersen Consulting’s investigation of the target markets, there is identifiable change in buyer preferences from window to split and cabinet air conditioners. 第一阶段中“评估战略目标”的主要任务和项目阶段性成果 自1998年成立以来,XX股份取得了迅猛的业务发展,目前已成为中国西北地区建材行业的龙头企业之一 但我国水泥行业极度分散,竞争的地域特征浓厚;低标号水泥产能过剩,地方保护主义,以及不正当竞争,导致大多水泥企业连年亏损 在并购的整个过程中都有导致失败的因素 许多的整合任务必须按重要性排序 近年来的兼并收购,已形成一些有区域性影响力的水泥集团 Approach Identify Buyer Value Segments Market Research Visioning Conceptual Design Detailed Design Pilot Implementation (phased) Systems Development/ Enhancement Situation Assessment Hypothesis List Development Survey Collection Data Coding and Utility Calculation Instrument Design and Testing Field Administration Preparation Sample Quota Design and List Pull Data Analysis Hypothesis Development Situation Assessment Hypothesis List Development Survey Collection Data Coding and Utility Calcu
文档评论(0)