Matt Lindsay has over 20 years of experience in helping businesses improve business performance and drive revenue through economic modeling. In a consulting role over the past 15 years, he has shared this expertise and developed pricing strategies and predictive models for clients including the Intercontinental Exchange, Gannett, The Home Depot, NRG Energy, Tribune, IHG, McClatchy, the Everglades Foundation, the Walton Foundation, Dow Jones, and The New York Times.
Prior to founding Mather Economics, Matt worked with the corporate Economics Group to leverage information on price elasticity and marginal network costs to improve profitability by customer for the United Parcel Service (UPS). He began his consulting career with Arthur Andersen, working in the firm’s Atlanta strategy practice.
Matt’s extensive experience in marketing spend effectiveness optimization, customer retention, analysis and the resulting predictive models have been used to support strategic pricing decisions, marketing initiatives and customer acquisition tactics, ultimately generating millions of dollars in incremental profits for his clients. He is a sought after expert and frequently speaks at industry events including the NAA’s MediaXchange, the INMA World Congress, and the WAN-IFRA World Newspaper Conference.
Matt holds a Doctorate in Economics from the University of Georgia, a Master of Applied Economics from Clemson University and an undergraduate degree in Economics from the University of Georgia.
Director of Product Development and Data Sciences, Mather Economics
Arvid Tchivzhel leads many key projects at Mather Economics with an emphasis on data-driven decision-making and actionable recommendations. As Director of Product Development, he oversees the growth and development of Mather’s Listener™ product, which helps companies collect and monetize their digital and offline data across advertising, subscriptions, and content. Listener enables the application of Big Data Science at the enterprise level, with a focus on long term strategic planning and implementation at the tactical level across all departments within an organization. Arvid leads the development of new services, products, and the application of quantitative methods for clients that enable the teams of economists, developers, and technical specialists at Mather to design custom solutions that solve client business needs and generate significant ROI.
Arvid works extensively within the publishing and media industries across all aspects of strategy and tactics, applying techniques such as econometric modeling, forecasting, economic analysis, statistics, financial analysis, machine learning, and other rigorous quantitative methods. Outside of the publishing and media industry, engagements with lotteries, hotels, services firms, non-profits and “big box” retailers have yielded insights on optimal prize payout, prize structure analysis, demand estimates, high-level sales forecasting and retailer-level stocking models, retailer segmentation, retailer density analysis, measuring price elasticity, measuring marketing impact, and customer segmentation.
Arvid holds degrees in Economics and Spanish from Furman University, where he also completed original research of automobile demand using econometric methods.