Escalent, a top human behavior and analytics firm, today launched EVForward™, a new insights platform that helps automakers and utilities plan for the continued growth of electric vehicle (EV) market share. The tool provides rich, actionable analysis based on an unrivaled quantity and quality of inputs to inform the steps industry players need to take today to inspire broader adoption of EVs and ensure their success with future buyers.
“We took a hard look at the types of consumer information companies have been using to power their EV strategies,” said Mike Dovorany, Automotive & Mobility vice president at Escalent. “We found insights regarding future buyers – specifically, those who aren’t early adopters – were virtually non-existent. EVForward closes that gap and helps automakers and utilities position themselves for success as EV adoption grows over the next decade.”
EVForward is the largest, most comprehensive study of the next generation of EV buyers, with more than 600 variables encompassing proprietary survey information and Acxiom profiling data. Where other studies have relied on the behaviors of early adopters and self-identified intenders, EVForward is focused on the broader marketplace that will determine key aspects of EV mass adoption, from timing and cost to required features and infrastructure support.
As a platform, EVForward provides intuitive tools for stakeholders to freely explore the study’s rich findings in ways that best equip them to make strategic decisions, such as custom queries and data manipulation. Additionally, EVForward answers critical questions, such as:
To learn more about EVForward, join the Escalent Automotive & Mobility team for an informational webinar on Wednesday, March 11, 2020 from 12 p.m. to 12:45 p.m. EST. Mike Dovorany will share the most surprising insights gleaned from more than 10,000 respondents and answer the most important questions regarding the EV buyers of tomorrow, including:
Register now for the webinar at Escalent.co.
EVForward™ was conducted with a national sample of 10,293 new vehicle buyers aged 18-80. The data were weighted by age, gender, and US state to match the demographics of the US new vehicle purchaser population. It was also weighted by vehicle segment to match current vehicle sales. The sample for this research comes from an opt-in, online panel. As such, any reported margins of error or significance tests are estimated, and rely on the same statistical assumptions as data collected from a random probability sample. Escalent will supply the exact wording of any survey question upon request.