Suggestions
Chris Dickey
Board Member, Advisor, and Mentor in Global Public Health and Development Finance
Chris Dickey is a seasoned professional with expertise in consulting for SPAC's, Start-Ups, and F500 clients, focusing on integrating, analyzing, and modeling data to derive actionable marketing insights and forecasts. His goal is to drive short and long-term business objectives effectively.
He specializes in various areas such as Data Driven Marketing Strategy, CRM, Database, Direct and Relationship Marketing, Loyalty Programs, Segmentation Designs, Descriptive and Predictive Statistics, Marketing and Media Mix Modeling, Web Analytics, eMail, Mobile, and Social Media Measurement. Additionally, he excels in Social CRM, Dashboards, Online Analytics, Decision Support Systems, Bayesian Statistics, New Business Development, Pitch Development, Business Consulting, Analytics Team Development, Marketing Research, Start-Ups, New Product Development, and Espresso consumption.
Chris Dickey's educational background includes studies at prestigious institutions like Northwestern University, Harvard Business School, and The University of Kansas. He pursued degrees in Journalism, Marketing, and Management, enhancing his skills and knowledge in these fields.
Throughout his career, Chris Dickey has held key positions in various organizations, including Managing Partner at Marketing Data Sciences, LLC, President/Owner at Visiting Angels of Central Virginia, and Strategic Advisor at Buddy. He has also served as Chief Data Strategy Officer at multiple companies like Barkley and FutureCast, showing his expertise in devising successful data strategies.
His professional journey includes roles such as SVP, Director of Data Strategy at The Martin Agency, Senior Vice President, Insight - Impact at Barkley, COO/Founder at DataPlus Millennium, and Relationship Marketing Strategist at Valentine Radford. At Customer Development Corporation (CDC), he served as an Account Executive, showcasing his versatility in different areas of marketing and data analysis.