# Sungjoon Nam **Cofounder and CEO** — Cupertino, CA, United States > Quantitative marketing Ph.D. and founder/CEO with hands-on expertise in causal inference, customer analytics, and AI product development. Career Archetype: **Launchpad Navigator** (HS-DG) — One of the first Launchpad Navigators on Saywise ## Links - LinkedIn: https://linkedin.com/in/sungjoonnam ## Experience ### Cofounder and CEO, GoCodebook, Inc. (2026-01 – present) San Francisco, California, United States · Built and launched a vertical AI platform for real estate development with 500 daily professional users. Used hybrid vector search over external legal ordinances and laws with agentic AI to support in-depth real estate feasibility analysis and development decisions. Designed the full web service from scratch and launched an iOS beta app. ### AI Machine Learning Head, PetFriends Inc. (2022-09 – 2022-12) Seoul, Korea · Conducted customer lifetime value prediction and churn analysis for 800,000 users to support CRM marketing optimization. Applied causal inference and difference-in-differences to improve personalized promotion performance, finding that 70% of online promotions produced no long-term effects. Applied hierarchical modeling to conjoint analysis for quantitative customer research. ### Graduate Program Director and Research Assistant Professor, The State University of New York (2020-08 – 2022-02) Incheon, Korea · Directed graduate program and conducted research in quantitative marketing and customer analytics. Focused on causal inference methods and their application to marketing problems. ### Assistant Professor, The State University of New York (2017-08 – 2020-07) Incheon, Korea · Taught and conducted research in quantitative marketing, focusing on causal inference, customer analytics, and new product diffusion. ### Visiting Assistant Professor, City University of Hong Kong (2016-08 – 2017-07) Hong Kong SAR · Taught and conducted research in quantitative marketing at the College of Business. ### Founder and CEO, Number Analytics, LLC (2014-08 – present) Cupertino, California, United States · Developed and oversaw statistical analysis software serving 15,000 users from 4,000 organizations in 119 countries. Integrated AI-powered automatic report generation in 2024 to extend the platform from statistical analysis to automated reporting. Expanded product delivery to mobile by launching iOS and Android apps in 2023. ### Assistant Professor, Supply Chain Management and Marketing Science, Rutgers Business School (2009-07 – 2015-06) New Jersey, USA · Taught and conducted research in supply chain management and marketing science, with focus on causal inference, customer acquisition, and retention modeling. ## Education ### Doctor of Philosophy (Ph.D.) in Marketing, The University of Chicago - Booth School of Business (2003-09 – 2010-08) Ph.D. in Quantitative Marketing. Research areas include customer relationship management, customer analytics, new product diffusion, pharmaceutical industry new drub launch, TV home shopping, Video on Demand Service ### Master of Business Administration (M.B.A.) in Marketing, The University of Chicago - Booth School of Business (2003-09 – 2010-05) Research in customer analytics, new product diffusion, and direct salesforce response modeling ### Bachelor's degree in Electrical Engineering & Economics, 서울대학교 / Seoul National University (1998-09 – 2002-06) Electrical Engineering and Economics ## Projects ### Disney Moviebeam Customer Analysis Service quality and word-of-mouth impact on video-on-demand metrics · Analyzed how service quality and word of mouth influence video-on-demand customer acquisition, retention, and usage. ### Shoplet Inc. E-Procurement Analysis Customer lifetime value and e-procurement behavior modeling · Modeled customer lifetime value and analyzed e-procurement behavior to identify high-value customer segments. ### Fount Inc. Investment Behavior Prediction Individual-level prediction model development · Developed an individual-level investment behavior prediction model using customer retention models. ### Hanhwa Life Insurance Salesforce Performance Local branch-level performance analysis · Analyzed salesforce group performance at the local branch level to identify drivers of sales effectiveness. ## Skills Full-Stack Development, Statistical Data Analysis, Artificial Intelligence (AI), Machine Learning, Web Applications, Software as a Service (SaaS), Mobile Application Development, Statistics, SPSS, Data Analysis, R, Marketing Research, Quantitative Analytics, Statistical Modeling, Quantitative Research, STATA, Entrepreneurship, Python, difference-in-differences, hierarchical modeling, conjoint analysis, customer lifetime value prediction, churn modeling, retention analysis ## Credentials - **Why does pharmaceutical detailing increase over time? Indication expansion versus inter-firm competition** — Journal of Business Research (issued 2026-10) - **The effects of Signal Quality and Contiguous Word-of-Mouth on Customer Acquisition for a Video on Demand Service** — Marketing Science (issued 2010-09) - **Across the threshold: Role of performance and compatibility in innovative new products' market penetration** — Industrial Marketing Management (issued 2004-09) ## AI Fluency - **Claude** — Build an agentic model for 540 local ordinance database in California (https://claude.ai) - **ChatGPT** — Building Expo based iOS and Android app for GoCodebook. (https://chatgpt.com) - **Lovable** — Create 4 web and mobile applications. (https://lovable.dev) --- Source: https://saywise.com/member6250 (last modified 2026-10-05T18:33:09.292Z)