
51 - 200 employees
🛍️ eCommerce
👗 Fashion
eCommerce • Fashion
Comfrt is a direct-to-consumer apparel brand and Shopify-based e-commerce retailer focused on comfort-first clothing. The company sells hoodies (including slightly weighted hoodies marketed for anxiety relief), loungewear, blankets, travel gear, kids and pet items, and accessories, and operates an ambassador program and mobile app. Its messaging emphasizes cozy, functional, lifestyle apparel and DTC online sales.
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51 - 200 employees
🛍️ eCommerce
👗 Fashion
eCommerce • Fashion
Comfrt is a direct-to-consumer apparel brand and Shopify-based e-commerce retailer focused on comfort-first clothing. The company sells hoodies (including slightly weighted hoodies marketed for anxiety relief), loungewear, blankets, travel gear, kids and pet items, and accessories, and operates an ambassador program and mobile app. Its messaging emphasizes cozy, functional, lifestyle apparel and DTC online sales.
• Own and evolve Comfrt’s measurement framework alongside partners across MMM & MTA (Northbeam), incrementality (Workmagic), and experimentation • Lead Marketing Mix Modeling (MMM) initiatives in partnership with measurement partners and internal stakeholders • Design and evaluate geo tests, holdouts, lift studies, and quasi-experimental frameworks • Quantify true incremental impact across marketing channels, campaigns, creators, and growth initiatives • Identify saturation points, diminishing returns, and marginal efficiency curves across paid and organic channels • Continuously improve model accuracy, interpretability, and decision-making reliability • Develop models and analytical frameworks that improve CAC efficiency, LTV forecasting, contribution margin visibility, and retention economics • Analyze customer cohorts to identify drivers of high-value and durable customer behavior • Partner with Growth and Finance teams on forecasting, budget allocation, and investment planning • Help distinguish short-term performance gains from long-term brand and customer value creation • Build frameworks that measure the relationship between acquisition strategy, retention quality, and enterprise value creation • Build scalable analytical systems and production-grade models using Python and SQL • Partner with Data Engineering & Data Analytics & Insights to improve data quality, metric governance, and experimentation infrastructure • Standardize and maintain trusted business metrics including CAC, LTV, MER, contribution margin, retention, and incremental ROI • Collaborate with Engineering and BI teams to operationalize models into dashboards, workflows, and reporting systems • Ensure measurement systems remain scalable, reliable, and actionable as the business grows • Translate complex analyses and modeling outputs into clear, actionable business recommendations • Influence executive decision-making around growth investments, profitability, and long-term business quality • Partner cross-functionally across Growth, Finance, Product, Data Engineering and Technology teams. • Help establish a culture of rigorous, data-informed decision-making across Comfrt
• 4–7+ years of experience in marketing science, econometrics, experimentation, or applied data science • Deep experience with: Marketing Mix Modeling (MMM) Causal inference and incrementality testing • Statistical modeling and experimentation design • Regression, time-series, Bayesian, or forecasting methodologies • Strong understanding of growth economics, customer behavior, and marketing efficiency • Advanced proficiency in Python and SQL • Experience working with large-scale marketing and transactional datasets • Familiarity with modern data warehouses such as Snowflake, BigQuery, or Redshift • Strong communication skills with the ability to simplify complex analyses into business decisions • Ability to operate effectively in fast-moving, high-ambiguity environments • Strong operator mindset with high ownership and accountability.
• generous paid time off • company-covered health insurance • 5% 401k match • discounts on all Comfrt products
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