David Hong

Co-founder of CROMOJO, a B2B SaaS platform I'm building with my partner: it brings together web indexing, monitoring, and privacy-first analytics in one place, where teams usually juggle several separate tools. I own the entire business side — positioning, per-module pricing and overage logic, go-to-market, acquisition, and customer relationships. In short, my job is turning a solid technical stack into a product that finds its market and generates revenue. I take on advisory work in exactly these areas: B2B SaaS go-to-market strategy, pricing and packaging design, and structuring acquisition for early-stage products that need to move from "it works" to "it sells."

I lead the financial and operational strategy of No More Beauty, a premium care brand for curly, wavy and coily hair. My role spans profitability, investor reporting, go-to-market and channel strategy, supplier negotiation, and commercial performance management across two strictly separated channels: B2C (Shopify DTC) and B2B (salons, hair studios, boutiques).

- Data: Data Analysis and Insights, Data Visualization, Data Modelling, Data governance, Business Intelligence & Decision making. - Financial Planning & Analysis: Financial modeling and Scenario analysis, Budgeting and Forecasting, Performance Reporting & Variance Analysis, Cash Flow and Expense Management, Pricing. - Sales Operations: Sales Strategy and enablement, Sales Forecasting and Reporting, Sales Technology and automation, CRM management, Performance and Compensation management.

- Led the development of client-facing Looker dashboards to monitor performance, define actionable KPIs, and deliver automated reports to 300+ stores. - Designed a scalable analytics framework and trained stakeholders to drive adoption and data-driven decision-making. - Adapted key metrics and dashboard logic for international markets, ensuring relevance and consistency across regions. - Built a plug-and-play QBR dashboard to streamline client reporting and improve delivery speed and clarity.

- Revamped the data architecture for the fashion business unit, from ELT pipelines to Looker dashboards. - Owned and optimized data models in LookML, transitioning analytics from Google Sheets to scalable, production-grade data sources. - Developed dynamic Looker dashboards to monitor SLA metrics on delivery and photo shoot quality, enabling real-time operational insights. - Migrated to dbt, implementing robust testing and documentation to ensure model reliability and data integrity. - Collaborated with product teams to analyze tracking features, validate event instrumentation, and assess user behavior impact on core KPIs.

- Engineered a customer success health scoring system to enhance satisfaction metrics and proactively allocate resources, reducing potential issues and improving customer retention. - Created a forecasting tool to optimize capacity allocation for the Operations team, enabling data-driven strategic hiring decisions and improving operational efficiency. - Designed and developed an embedded dashboard in SWAN's platform, providing partners with real-time end-user usage KPIs and actionable insights. - Developed executive committee dashboards, centralizing and integrating all required data sources into Snowflake for comprehensive and unified reporting.

• Developed the sales strategy and target, focusing on partner activation which improved the conversion rate and drove faster revenue generation • Led and implemented a revamped sales compensation plan, introducing new target KPIs, sales quotas, and bonuses aligned with our sales strategy. • Collaborated closely with sales leadership to continuously refine and enhance the sales compensation plan, ensuring its ongoing alignment with company objectives and its appeal to the sales team. • Overhauled and automated our reporting framework, including Weekly Business Reviews (WBR), Monthly Business Reviews (MBR), and the sales pipeline funnel. This overhaul enhanced the accuracy and completeness of sales performance data provided to the management team. • Provided valuable insights, timely alerts, and strategic recommendations to territory leads, enabling informed decision-making and proactive sales management. • Optimized sales processes, including tooling, lead allocations, and sales roster management, to bolster sales productivity and efficiency. • Conducted targeted training sessions to ensure a deep understanding of sales targets and business metrics among the sales team, fostering a culture of proficiency and goal attainment.

• Formulated and refined Key Performance Indicators (KPIs) to align with departmental objectives under the guidance of department heads. • Conducted comprehensive analyses for management, covering crucial metrics such as Customer Lifetime Value (LTV), Customer Acquisition Cost (CAC), Return on Investment (ROI), Cohort Analysis, Churn Rate, and Client Segmentation. These insights empowered informed decision-making. • Utilized Looker to develop dynamic data visualizations, providing real-time insights and proactive alerts. This enhanced delivery performance metrics such as Service Level Agreement (SLA) adherence and conversion rates. • Implemented ongoing database enhancements and management strategies to enhance data accuracy and reliability. • Spearheaded a comprehensive training initiative to foster a data-driven culture across all teams, empowering them to leverage data effectively in their day-to-day operations.• Created data visualization on Looker with real-time insights and alerts improving delivery performance (SLA rate, conversion rate)

• Built weekly and monthly reporting, providing key insights to the Director of Marketing (including revenue by channel and product category, traffic, ATV) • Rebuilt sales promotional operations reporting and analysis with key insights and recommendations to the sales team • Optimized and improved regular reporting and increased productivity by 30% • Data extraction and ad-hoc analysis using “SPSS modeler”

• Built a financial model to predict revenue and define weekly sales target • Prepared monthly report for investors and management team providing key insights (P&L, unit economics, company KPIs) • Budgeting and forecasting including P&L, BS, and cash flow. Functional budget review and variance analysis • Improved and implemented various accounting processes and controls, including cost accounting (cost centers) • Created live dashboards to monitor the daily business activities (revenue, forecast, live opportunities, deals signed, sales activities) Sales Operations: • Worked directly with the VP of Sales to evaluate sales achievements. • Prepared weekly sales presentation with target achievements, variances analysis, and sales KPIs Data analysis: • Extraction of dataset from the internal database; data visualization • Performed data analysis by extracting data using SQL and provided insights to support the Product roadmap Salesforce.com (CRM) administrator: • Managed and implemented improvements to support the sales strategy (i.e. new products and sales processes) • Developed dashboards, reports, and managed workflows to support sales operations • Built onboarding materials and trained all new users