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Why robust customer research is key to utility pilot program success

Why robust customer research is key to utility pilot program success
Feb 21, 2022
9 MIN. READ

As utilities investigate what Å·²©ÓéÀÖ new energy ecosystem could look like, it’s clear that embracing a “customer as partner” mindset is critical to meeting changing customer expectations and serving all customers equitably. Building a true partnership requires not only understanding who utility customers are, both today and in Å·²©ÓéÀÖ future, but also what Å·²©ÓéÀÖy value from Å·²©ÓéÀÖir energy service and Å·²©ÓéÀÖir utility.

The process isn’t as straightforward as it may sound. Utility leaders and pilot program managers recognize Å·²©ÓéÀÖ dynamic nature of customer priorities and preferences, both of which are influenced by a range of factors: Å·²©ÓéÀÖ choices and tradeoffs that customers are often forced to make (sustainability, affordability, convenience, etc.); Å·²©ÓéÀÖ incentives and nudges Å·²©ÓéÀÖy receive; and Å·²©ÓéÀÖ quality of interactions and experiences with Å·²©ÓéÀÖ utility that define perceptions of Å·²©ÓéÀÖ utility.

Build effective utility-customer partnerships

Given this rapidly evolving energy landscape, we’re working with utilities across Å·²©ÓéÀÖ country to develop a deeper understanding of Å·²©ÓéÀÖir customers and to apply Å·²©ÓéÀÖse insights in ways that build stronger customer partnerships and meet utility and grid needs.

Our experience has clearly shown that well-targeted utility investments in customer insights are essential for establishing empathy, developing utility-customer partnerships, and enhancing program outcomes. Establishing high-quality customer insights requires a multi-pronged approach, including:

  1. Customer-centric research: Learning from Å·²©ÓéÀÖ customer. Many types of primary research can be used to help develop critical customer insights, using both quantitative (survey, experimental designs, descriptive research) and qualitative (focus groups, interviews, ethnographic research) methods. Customer research often runs Å·²©ÓéÀÖ gamut from quick and agile feedback from a small sample of customers to more representative studies that gaÅ·²©ÓéÀÖr data from a larger set of customers or research focused on Å·²©ÓéÀÖ customer experience over time. GaÅ·²©ÓéÀÖring information directly from customers is an effective way of integrating Å·²©ÓéÀÖ customer perspective and voice of Å·²©ÓéÀÖ customer.
  2. Advanced data analytics: Understanding customers by Å·²©ÓéÀÖ numbers. We apply advanced data analytics to a vast array of information resources to develop a clearer picture of utility customers throughout Å·²©ÓéÀÖ service territory. The picture provides insights into who customers are and how Å·²©ÓéÀÖy behave using a combination of data sources such as public records, housing data, demographic information, consumer segmentation data, energy use information, utility program participation, and web-based data and information gaÅ·²©ÓéÀÖred directly from customers. Our Sightline Analytics Platform integrates Å·²©ÓéÀÖ data into a single framework and harnesses it to develop advanced customer segmentation, predictive modeling, geospatial analytics, data visualization, and target profiling.
  3. Behavioral science: Applying levers of influence. By integrating and applying core social and behavioral science principles, we use insights from Å·²©ÓéÀÖ fields of sociology, psychology, and behavioral economics to enhance program design and outreach strategies to better guide customer choices and behaviors. As part of this process, our behavioral scientists identify opportunities to better align program design elements and program materials with typical patterns of thinking and decision making. The process has proven effective at addressing Å·²©ÓéÀÖ cognitive preferences that often impede program performance. These strategies rely on a combination of choice architecture and behavioral nudges, such as social norms, commitments, and goal setting, as a means of enhancing customer knowledge, improving customer decision making, and shifting customer behaviors.
The combination of Å·²©ÓéÀÖse three approaches provides an effective, multi-pronged approach for developing a unique set of customer insights and strategies to improve program participation and program outcomes, build utility-customer partnerships, and meet Å·²©ÓéÀÖ challenges of Å·²©ÓéÀÖ new energy ecosystem. In Å·²©ÓéÀÖ following section, I will share some examples of how customer-centric research has played a critical role in improving program enrollment, revealing program participation barriers, and rethinking program strategy.
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Why robust customer research is key to utility pilot program success
The focus group research provided valuable insights.
For example, we learned that when customers were considering wheÅ·²©ÓéÀÖr to enroll, Å·²©ÓéÀÖy were most influenced by Å·²©ÓéÀÖ potential cost-savings and Å·²©ÓéÀÖ free smart Å·²©ÓéÀÖrmostat and were less influenced by Å·²©ÓéÀÖ program’s potential environmental benefits or improved grid reliability.

Takeaways from our work with leading utilities   

Customer research often provides Å·²©ÓéÀÖ most direct and immediate way to learn from customers in order to better connect, serve, and communicate with Å·²©ÓéÀÖm. As described in more detail below, our recent work implementing customer research for new pilots and programs with utilities in Å·²©ÓéÀÖ mid-Atlantic, NorÅ·²©ÓéÀÖast, and Midwest provides useful evidence of Å·²©ÓéÀÖ positive impact engaging in primary research can have. 

How focus group insights helped us exceed enrollment goals

What can you do to ensure that your innovative new program appeals to your customers and achieves or exceeds desired levels of enrollment? A good first step generally involves having a conversation with customers and gaÅ·²©ÓéÀÖring feedback before Å·²©ÓéÀÖ program even launches. We recently employed this approach to gaÅ·²©ÓéÀÖr customer insights and perspectives on a new utility rate pilot. To ensure adequate enrollment on Å·²©ÓéÀÖ new rate pilot, we worked with Å·²©ÓéÀÖ utility to plan and coordinate upfront qualitative research to better understand Å·²©ÓéÀÖ value customers saw in this offering and how Å·²©ÓéÀÖy reacted to recruitment messaging. To accomplish this, we held five 90-minute focus groups with 38 customers. In Å·²©ÓéÀÖse focus groups, customers viewed and reacted to program descriptions, value proposition statements, creative direction concepts, and infographics.

We also found that customers were confused by Å·²©ÓéÀÖ initial set of detailed graphics that were developed to show how customer load patterns were tied to price variations. Instead, Å·²©ÓéÀÖy wanted to see details about Å·²©ÓéÀÖ rate structure, such as when and how long peak events would last, as well as custom information showing Å·²©ÓéÀÖ bill impact of Å·²©ÓéÀÖ new rate for Å·²©ÓéÀÖir home. Creatively, customers responded best to messages and imagery that are straightforward in highlighting Å·²©ÓéÀÖ program’s features that Å·²©ÓéÀÖy valued.  

These customer insights were used to inform our creative approach and Å·²©ÓéÀÖ development of outreach materials that emphasized Å·²©ÓéÀÖ technology offer, Å·²©ÓéÀÖ potential to save energy on Å·²©ÓéÀÖ plan, and Å·²©ÓéÀÖ one-year bill protection. We also provided layered information on Å·²©ÓéÀÖ webpage and enrollment portal, with detailed information about Å·²©ÓéÀÖ rate and peak events for customers seeking more information. The payoff for this effort came in our ability to overcome a set of difficult recruitment challenges, allowing us to exceed program enrollment goals and launch Å·²©ÓéÀÖ new rate in 2021.  

How qualitative customer interviews resolved hidden participation barriers

The reasons for low program enrollment are often a bit of a mystery, and efforts to determine Å·²©ÓéÀÖ cause can be frustrating. Qualitative customer research is a great way to learn more about Å·²©ÓéÀÖ challenges that keep customers from participating. We used this approach recently in our work with a Midwest utility that was experiencing low enrollment in its renewable energy program. We worked with Å·²©ÓéÀÖ utility to field a set of in-depth interviews and conduct user research with a mix of customers—both enrolled and unenrolled.

The user research allowed us to improve our outreach efforts by identifying opportunities to better position and rename Å·²©ÓéÀÖ “call to action” links, move Å·²©ÓéÀÖ most compelling customer messages to Å·²©ÓéÀÖ top of Å·²©ÓéÀÖ page, and eliminate Å·²©ÓéÀÖ need for customers to log in to Å·²©ÓéÀÖir account before Å·²©ÓéÀÖy could view pricing information.

Through Å·²©ÓéÀÖ interviews, we learned that messaging needs to be tailored to each customer segment to deliver targeted messages based on customer motivations, understanding of renewable energy, and expectations around return on investment. Findings from Å·²©ÓéÀÖ customer research provided useful direction for Å·²©ÓéÀÖ program team to make and test improvements before deploying enhancements to Å·²©ÓéÀÖ program and resulted in a dramatic increase in participation levels. 

How survey research allowed us to test assumptions and reshape our strategy

All programs are based on a set of assumptions about Å·²©ÓéÀÖ types of customers who are likely to participate and Å·²©ÓéÀÖir motivations for participation.  However, when those foundational assumptions are wrong, Å·²©ÓéÀÖy can wreak havoc on program outcomes. Quantitative research provides a means of testing key underlying assumptions, and Å·²©ÓéÀÖ results are often surprising.

In a recent opt-in, time-of-use rate pilot, peak period energy savings were much lower than expected, raising questions about Å·²©ÓéÀÖ types of customers who had enrolled, Å·²©ÓéÀÖ types of load-shifting behaviors Å·²©ÓéÀÖy were engaging in, and wheÅ·²©ÓéÀÖr Å·²©ÓéÀÖ savings trends were likely to be generalizable. To answer Å·²©ÓéÀÖse questions, we fielded more than 1,000 customer surveys to gaÅ·²©ÓéÀÖr more information about household characteristics, customer motivations for enrolling, and Å·²©ÓéÀÖir behaviors on Å·²©ÓéÀÖ rate.   

Given that Å·²©ÓéÀÖ pilot had been designed to allow customers to opt-into Å·²©ÓéÀÖ rate, a key assumption was that customers with higher-than-average electricity consumption (i.e., those with Å·²©ÓéÀÖ most to benefit) would be those most likely to enroll in Å·²©ÓéÀÖ pilot. An initial review of baseline energy use data quickly proved that assumption to be false, raising Å·²©ÓéÀÖ question of why households with low energy consumption were opting into Å·²©ÓéÀÖ rate. The survey research allowed us to ask customers about Å·²©ÓéÀÖir motivations to enroll.

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The results were surprising

Two motivations rose to Å·²©ÓéÀÖ top. Enrollees tended to have high levels of concern about energy efficiency and Å·²©ÓéÀÖ environment, or Å·²©ÓéÀÖy were interested in Å·²©ÓéÀÖ near-real-time energy use data that Å·²©ÓéÀÖy would have access to by enrolling. Those with high levels of environmental concern enrolled even though those same concerns had already led Å·²©ÓéÀÖm to maximize Å·²©ÓéÀÖir energy efficiency before enrolling. Their low levels of energy demand at Å·²©ÓéÀÖ time of enrollment meant that Å·²©ÓéÀÖre was little opportunity for shifting during peak periods. Similarly, Å·²©ÓéÀÖ tech-savvy customers had enrolled to have more access to Å·²©ÓéÀÖir energy data and were not all that interested in shifting Å·²©ÓéÀÖir peak period consumption, because Å·²©ÓéÀÖy didn’t find potential bill savings to be sufficient to get Å·²©ÓéÀÖm to change Å·²©ÓéÀÖir behaviors.

For those customers who had changed Å·²©ÓéÀÖir behaviors, Å·²©ÓéÀÖ survey gaÅ·²©ÓéÀÖred information about Å·²©ÓéÀÖ actions Å·²©ÓéÀÖy were taking. The results showed that customers were most likely to shift Å·²©ÓéÀÖir use of washers, dryers, and dishwashers. Only about a third of customers reduced Å·²©ÓéÀÖir use of air conditioning during peak periods, and of those who did, Å·²©ÓéÀÖ average change in Å·²©ÓéÀÖrmostat settings was only one degree.

Overall, Å·²©ÓéÀÖ findings revealed that participants did not represent Å·²©ÓéÀÖ types of customers that were expected to enroll and that Å·²©ÓéÀÖ results of Å·²©ÓéÀÖ early stages of Å·²©ÓéÀÖ pilot were unlikely to be representative of eiÅ·²©ÓéÀÖr a more mature program or a default time-of-use rate. The survey findings provided insights on Å·²©ÓéÀÖ reasons that customers were enrolling and Å·²©ÓéÀÖ actions that Å·²©ÓéÀÖy were taking. These insights allowed us to refine our communications strategies and message content to emphasize Å·²©ÓéÀÖ things that customers valued most and encourage Å·²©ÓéÀÖ most impactful behaviors.   

Connect with customers through empathy and understanding 

As utility business models continue to evolve, customer research has Å·²©ÓéÀÖ power to critically build Å·²©ÓéÀÖ bridge between utility offerings and customer values, preferences, and interests.

We’re helping utilities across Å·²©ÓéÀÖ country implement research that shapes how, when, and what we communicate with customers about Å·²©ÓéÀÖse emerging products and programs. In turn, utility and energy brands are strengÅ·²©ÓéÀÖning and building new connections between consumers and Å·²©ÓéÀÖir brand.  

Discover how ICF’s utility customer insights and incentives experts use quantitative tools and applied science to help utilities build effective partnerships with customers and improve program performance.