Frank C.

About Frank C.

I\'m a product and analytics professional with 7+ years driving growth for DTC and marketplace businesses through customer segmentation, experimentation, and pricing optimization. I specialize in turning insights into scalable workflows by combining predictive modeling, A/B testing, and GTM strategy. Currently building agentic AI systems using MCP (Model Context Protocol) to automate analytics workflows and accelerate decision making.Recent highlights• Built customer ID resolution in BigQuery to unify TikTok Shop and DTC profiles, surfacing more accurate LTV metrics and high-value migration patterns (AS Beauty)• Launched a Pro Seller dashboard and tiered incentive program that improved retention by 25% and generated $3M+ incremental revenue (Stadium Goods)• Developed predictive pricing models that drove a $5M GMV uplift and 20% improvement in sell-through across marketplace channels (Stadium Goods)Core strengths• Analytics: predictive modeling, pricing optimization, cohort analysis, A/B testing, forecasting• Technical stack: SQL (BigQuery, Snowflake), Python, R, Tableau, Looker, dbt, Claude/OpenAI APIs

Experience

1. Marketing Analytics Manager

   AS Beauty Group

   Jul 2025 — Present · NY, US

   Optimized site merchandising and personalization using behavioral and purchase affinity data; modeled free shipping thresholds to incentivize add-on purchases, delivering a 12% AOV lift and 5% contribution margin increase• Developed customer ID resolution framework in BigQuery to unify TikTok Shop and DTC profiles, enabling cohort analysis of LTV and rebuy rates that surfaced more accurate customer value metrics and high-value migration patterns from social to owned channels• Built \"Next Best Purchase\" predictive models to accelerate 1x to 2x+ buyer conversion; integrated targeted segments with Klaviyo for automated SMS/email campaigns and created Tableau dashboards to track cohort performance• Designed LTV attribution models and loyalty program dashboards (MCP framework) to monitor member health, identify churn risk, and track lifecycle performance across the brand portfolio, providing actionable insights for retention initiatives

Education

• Nanyang Technological University Singapore

  Chinese Language and Culture

• Pelham Memorial High School

  Advanced Regents Diploma

• Rensselaer Polytechnic Institute

  Bachelor of Science (B.S.), Industrial Systems Engineering, Economics (Dual)