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Consumer Research
Primary ResearchSubscribe TodayThe Parks Points newsletter features all aspects of our research, including smart home, IoT devices, entertainment and digital media, security, energy, health, and consumer data. Subscribe Now | Marketing Energy Programs: Making an ImpactDownload Table of Contents (PDF) About the Research Previous Research Industry Insight, Key Findings, and Recommendations Consumer Segmentation & Classification Segmentation Overview Insight Through Classification of Energy Consumers Technology Adoption Segments (Q4/15) Energy Bill Segments (Q4/15) Energy Program Priority Segments (Q4/15) Energy Behavioral Segments (Q4/15) Energy Saving Actions (Q4/15) Attitudinal Segments (Q4/15) Attitudinal Motivation by Pace of Technological Adoption (Q4/15) Smart Home Segments (Q1/16) Smart Energy Device Purchase Intention by Smart Home Segment (Q4/15) Energy Program Familiarization: Familiarity with Energy Programs (Q4/15) Familiarity with Energy Programs by Technological Adoption Segment (Q4/15) Familiarity with Energy Programs by Energy Bill Segment (Q4/15) Familiarity with Energy Programs by Energy Segment (Q4/15) Familiarity with Energy Programs by Energy Behavioral Classifications (Q4/15) Familiarity with Energy Programs by Attitudinal Segment (Q4/15) Familiarity with Energy Programs by Smart Home Segment (Q4/15) Likelihood to Participate in Energy Programs: Likelihood of Participating in an Energy Program with Specified Incentives (Q4/15) Likelihood of Participating in an Energy Program with Specified Incentives by Energy Segment (Q4/15) Likelihood of Participating in an Energy Program with Specified Incentives by Technological Adoption Segment (Q4/15) Likelihood of Participating in an Energy Program with Specified Incentives by Energy Bill Segment (Q4/15) Likelihood of Participating in an Energy Program with Specified Incentives by Energy Behavioral Classifications (Q4/15) Likelihood of Participating in an Energy Program with Specified Incentives by Attitudinal Segment (Q4/15) Likelihood of Participating in an Energy Program with Specified Incentives by Smart Home Segment (Q4/15) Delivering Energy Programs Through Partnerships: Perception of Energy Provider Offering Information on Specified Energy Programs (Q4/15) Willingness to Trust Energy Program Information by Provider of Information (Q4/15) Preferred Provider of Day of Use Incentive Payment (Q4/15) Preferred Provider of Upfront Incentive Payment (Q4/15) Likelihood of Participating in an Energy Program from Specified Companies (Q4/15) Likelihood of Participating in an Energy Program from Specified Types of Companies by Technological Adoption Segment (Q4/15) Likelihood of Participating in an Energy Program from Specified Types of Companies by Energy Bill Segment (Q4/15) Likelihood of Participating in an Energy Program from Specified Types of Companies by Energy Program Priority (Q4/15) Likelihood of Participating in an Energy Program from Specified Types of Companies by Energy Behavioral Classification (Q4/15) Likelihood of Participating in an Energy Program from Specified Companies by Attitudinal Segment (Q4/15) Likelihood of Participating in an Energy Program from Specified Types of Companies by Smart Home Segment (Q4/15) Likelihood of Participating in an Energy Program from Specified Types of Companies by Children at Home (Q4/15) Energy Program Marketing: Sources For Learning About Energy Programs (Q4/15) Sources For Learning About Energy Programs by Technological Adoption Segment (Q4/15) Sources For Learning About Energy Programs by Energy Bill Segments (Q4/15) Sources For Learning About Energy Programs by Energy Program Priority (Q4/15) Sources For Learning About Energy Programs by Energy Behavioral Classification (Q4/15) Sources For Learning About Energy Programs by Attitudinal Segment (Q4/15) Sources For Learning About Energy Programs by Smart Home Segment (Q4/15) Learning About Energy Programs via Specified Print or Electronic Mediums by Age (Q4/15) Publish Date: 2Q 2016 Slides: 70 Authored By: Tom Kerber - Senior Director, IoT Strategy and Custom Research Eddie Accomando - Research Analyst David Mitchel - Research Analyst Yilan Jiang - Senior Director of Consumer Analytics Katherine Li - Data Analyst
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