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首页> 外文期刊>Journal of the Operational Research Society >Divisional advertising efficiency in the consumer car purchase funnel: A network DEA approach
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Divisional advertising efficiency in the consumer car purchase funnel: A network DEA approach

机译:消费者汽车购买漏斗中的分区广告效率:网络DEA方法

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Previous advertising efficiency studies have neglected the "black box" of the consumer purchase funnel. Thus, this study decomposes advertising efficiency into marketing and sales efficiency to unravel a complicated and multi-stage consumer purchase decision, and measures divisional advertising efficiency in the US consumer car purchase funnel using a slack-based measure network data envelopment analysis. Additionally, this study identifies consumer key brand perception attributes that affect divisional advertising efficiency by using a bootstrapped truncated regression to offer strategic advertising initiatives that are appropriate to car brand position and characteristics at each step of the customer buying funnel. The contributions of this study are twofold. First, this study is an unprecedented attempt at researching the divisional advertising efficiency for opening the hidden "black box" of the consumer car purchase journey. Second, this study suggests that advertising strategies, such as advertising themes and appeal type, should be differentiated in accordance with consumer key brand perception attributes at each step of the customer buying funnel, depending on car brand types such as luxury and mainstream.
机译:以前的广告效率研究忽略了消费者购买漏斗的“黑匣子”。因此,本研究将广告效率分解成营销和销售效率,以解开复杂和多阶段的消费者购买决策,并使用基于SLACK的测量网络数据包络分析来衡量美国消费者汽车购买漏斗中的分区广告效率。此外,本研究识别消费者关键品牌感知属性,通过使用举起的截断回归来提供诸如顾客购买漏斗的每个步骤的战略广告举措,以提供适合汽车品牌位置和特征的战略广告举措。这项研究的贡献是双重的。首先,本研究是一项前所未有的尝试,研究了开启消费汽车购买旅程的隐藏的“黑匣子”的分区广告效率。其次,本研究表明,广告策略(如广告主题和上诉类型)应根据客户购买漏斗的每一步的消费者关键品牌感知属性进行区分,具体取决于汽车品牌类型,如奢侈品和主流。

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