Shelton Group’s seventh annual Energy Pulse™ study took a deep-dive into consumers' energy efficiency attitudes and behaviors during a time of continuing economic uncertainty. Consumer activity still lags, thanks in part to lack of household funds available for big efficiency spending, denial regarding their usage and a lack of awareness campaigns that spur the right amount – and types – of action.
Here what you can expect in this year's report:
The Haves and the Have-Nots. Why those who need to make energy efficient improvements the most aren’t making them – and where you should really focus your marketing efforts.
If You Promote It, They Will Come. Not enough money is being spent in the right way. To move the energy efficiency needle, you’ll need to spend on the right incentives and messaging to educate and motivate.
Energy Efficiency is a Journey. To see a real difference in utility bills, consumers need to make a minimum of four improvements/behavior changes. Find out how you can fight the drop-off in improvements and help empower and encourage your customers to do more.
In this year’s Energy Pulse™, we did a deep dive in order to:
Learn more by downloading your free executive summary here; then buy the full report here.
For a sneak peek of the report, check out the following pages from the study.
The Energy Pulse™ questionnaire was designed by Shelton Group and contained fixed-response alternative questions Likert scale and a few open-response questions. Energy Pulse data historically has been gathered via a random digit dial telephone sample of respondents. This year, we utilized a hybrid sampling approach in preparation for transitioning to an online-only methodology in 2012. We surveyed a total of 1,502 Americans: 1,000 via an online survey and 502 using our traditional telephone approach. The online respondents were members of Survey Sampling International’s online panel of over three million U.S. Internet users. Based on the total population of U.S. Households (112,611,029), results from this study would be comparable to a RDD phone sample of the U.S. population with an overall confidence level of 95% and a confidence interval (margin of error) of +/- 2.53%.