Matthew Nelson, PhD

Quantitative research for Amazon's Reputation Marketing & Insights team — the group that both drives reputation strategy and runs the marketing behind it. I measure brand perception, executive favorability, and competitive standing globally, and turn those measurements into campaigns.

• Design large-scale survey programs tracking reputational outcomes over time
• Shape reputation marketing campaigns — research defines the audiences, messages, and markets, then measures what the marketing moved
• Build automated data pipelines and reporting — crosstabs, visualization decks, and briefs for senior communications and marketing leaders
• Model perception drivers with logistic regression, Shapley-value attribution, and specification-curve robustness
• Turn analysis into localized, country-level strategy and marketing guidance tailored to each market
• Bring vendor analytics in-house and manage cross-vendor calibration — cutting cost while protecting data integrity

Delivered quantitative research, strategic counsel, and campaign guidance for Fortune 50 companies navigating reputation risk, competitive pressure, and crisis communications.

• Designed survey instruments and statistical models informing high-stakes brand, marketing, and communications decisions
• Message-tested campaign creative and narratives — research that shaped what clients actually ran, not just what they planned
• Produced research briefs and executive presentations translating data into clear strategic direction
• Led internal training on research methodology and applied AI tools

Research on electoral institutions, redistricting, and voting rights — published in peer-reviewed journals and cited before the U.S. Supreme Court.

• Published in PS: Political Science & Politics; cited in Supreme Court amicus brief, Moore v. Harper
• Applied regression analysis, ecological inference, and racially polarized voting methods to redistricting cases
• Research covered by the Washington Post, FiveThirtyEight, and CalMatters