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Motivating Utility Customers to Adopt Multiple Energy-Efficient Measures

机译:激励公用事业客户采用多种节能措施

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Our research reveals that 48% of Americans think their homes are already energy efficient. Yet 63% say they have higher energy bills than in the past. To compound the problem, over 40% of those who’ve made improvements say they haven’t seen the reductions they expected in their energy bills. However, we’ve learned that those who have completed five or more improvements report their bills did go down. Additionally, there are four distinct consumer segments with different motivators and triggers. Yet most utility marketing efforts do not address these issues—they talk to all customers as if the same things motivate them and everyone needs the same improvements. We believe that by speaking to customers according to their unique drivers and then recommending individualized, prescriptive actions based on their situations, we can engage Americans to do enough to really see a reduction in energy consumption. That is why our company, created a new program that addresses these issues and leverages consumer segmentation to drive participation in multiple utility programs. It’s a webbased platform that uses principles of behavioral science, speaks to customers in a segmented way according to their drivers, and recommends individualized, prescriptive actions based upon their home improvement history and most likely/highest-impact next steps. It allows us to identify the person we’re talking with, connect to their values, recommend the right list of five improvements, and keep them motivated with financial, social, and behavioral nudges along the way.
机译:我们的研究表明,48%的美国人认为他们的房屋已经有效。然而,63%的人表示他们有更高的能源法案而不是过去。为了复制这个问题,超过40%的人改进表示,他们没有看到他们在能源票据中预期的减少。但是,我们了解到那些已经完成了五个或更多改进的人报告他们的账单确实下降了。另外,有四个不同的消费段,具有不同的刺激物和触发器。然而,大多数公用事业营销努力没有解决这些问题 - 他们与所有客户交谈,好像同样的事情激励他们,每个人都需要相同的改进。我们认为,通过根据他们独特的司机对客户交谈,然后根据他们的情况推荐个性化,规定的行动,我们可以从事美国人做足够的工作,以确保减少能源消耗。这就是为什么我们公司创建了一个解决这些问题的新程序,并利用了消费者分段来推动多个实用程序的参与。它是一个使用行为科学原则的Web上的平台,根据他们的司机以分割的方式向客户发言,并根据他们的家庭改善历史,最有可能/最高影响下一步,建议个性化的规范行为。它允许我们识别我们正在与之交谈的人,连接到他们的价值观,推荐右五个改进的右侧列表,并使他们沿途提供金融,社交和行为漏洞。

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