I’m a strategy and operations leader with over seven years of experience driving revenue growth, commercial strategy, and marketing transformation across B2B and B2C sectors. My background combines management consulting on revenue growth and implementation at McKinsey & Company with brand growth analytics and strategy execution at Procter & Gamble. Across these roles, I specialize in translating complex data into actionable market strategies. I earned my Master of Business Administration from the Kellogg School of Management at Northwestern University and hold a Bachelor’s degree from The Ohio State University. Throughout my career across consumer-facing industries such as CPG, technology, media, and travel, I have partnered with executive leadership and high-growth teams to build scalable go-to-market playbooks, optimize unit economics, and accelerate top-line performance. When I’m not solving commercial growth puzzles, you’ll usually find me traveling to new places, taking on the daily NYT Connections challenge, or staying active at the gym and in the strategic writing space. https://speakerdeck.com/uyiuwadiae 2026-10-19 11:35:07 -0400 Explores how framing affects consumer reactions to loyalty program fee hikes, revealing a paradox where benefits-first messaging can backfire, and highlights key factors influencing perceived value and member retention. • The data: The survey data powering this presentation is real — 300 U.S. adults, fielded via Pollfish in February 2026, with proper attention checks and weighted responses. The sample, methodology, and statistical rigor are all genuine. • The reframe: The original survey was conducted on a different topic. The data has been mapped to the loyalty program context presented here — with the underlying consumer sentiment patterns, percentages, and behavioral signals preserved intact. A disclaimer like this one is included to ensure full transparency. • The collaboration: This presentation was a human-AI collaboration. Claude (Anthropic) was used to brainstorm the topic reframe, perform the data analysis and mapping, design the narrative arc, write the slide content, and build the final deck in code. The strategic framing, quality review, and real-world context were provided by Uyi Uwadiae — Kellogg MBA, and CPG/eCommerce growth strategist. • Why share this: Beyond the loyalty insights themselves, this project is a demonstration of what's possible when domain expertise meets AI execution. The goal is to show that high-quality research presentation — typically a week of work — can be compressed into hours without sacrificing analytical depth. Created by Uyi Uwadiae | Powered by Claude (Anthropic) | Data: Pollfish, February 2026 | For educational and demonstration purposes Explores how framing affects consumer reactions to loyalty program fee hikes, revealing a paradox where benefits-first messaging can backfire, and highlights key factors influencing perceived value and member retention. • The data: The survey data powering this presentation is real — 300 U.S. adults, fielded via Pollfish in February 2026, with proper attention checks and weighted responses. The sample, methodology, and statistical rigor are all genuine. • The reframe: The original survey was conducted on a different topic. The data has been mapped to the loyalty program context presented here — with the underlying consumer sentiment patterns, percentages, and behavioral signals preserved intact. A disclaimer like this one is included to ensure full transparency. • The collaboration: This presentation was a human-AI collaboration. Claude (Anthropic) was used to brainstorm the topic reframe, perform the data analysis and mapping, design the narrative arc, write the slide content, and build the final deck in code. The strategic framing, quality review, and real-world context were provided by Uyi Uwadiae — Kellogg MBA, and CPG/eCommerce growth strategist. • Why share this: Beyond the loyalty insights themselves, this project is a demonstration of what's possible when domain expertise meets AI execution. The goal is to show that high-quality research presentation — typically a week of work — can be compressed into hours without sacrificing analytical depth. Created by Uyi Uwadiae | Powered by Claude (Anthropic) | Data: Pollfish, February 2026 | For educational and demonstration purposes Mon, 19 Oct 2026 00:00:00 -0400 https://speakerdeck.com/uyiuwadiae/the-loyalty-paradox-consumer-sentiment-on-membership-fee-increases-and-program-improvements https://speakerdeck.com/uyiuwadiae/the-loyalty-paradox-consumer-sentiment-on-membership-fee-increases-and-program-improvements