AI-powered retail media optimization across Amazon and marketplace ads
Quartile optimizes e-commerce advertising for brands and sellers across Amazon and other major marketplaces using machine-learning models. The tech stack reflects a sales-and-data infrastructure business: heavy reliance on Amazon's ecosystem (Seller Central, DSP, Advertising, Marketing Cloud), coupled with Salesforce for revenue operations and Databricks for data orchestration. Active hiring in sales and engineering, combined with active projects around data pipeline reliability and billing/subscription automation, suggests Quartile is scaling the mid-market segment while hardening internal systems to handle growth.
Quartile builds a platform to optimize advertising spend and performance across Amazon and other marketplace channels for e-commerce brands and sellers. The company serves over 5,300 brands worldwide and manages advertising budgets exceeding $2 billion annually. The platform combines proprietary machine-learning models with multi-channel optimization tools for Amazon Sponsored Products, DSP, and other marketplace ad formats. Founded in 2018, Quartile operates from New York and employs 201–500 staff across sales, engineering, marketing, and operations. The business model is sales-led, with active commercial growth targeting mid-market sellers.
Quartile uses Salesforce, AWS, Amazon Advertising APIs (Seller Central, DSP, Marketing Cloud), Google Ads, Meta Ads Manager, Databricks, Stripe, and SalesLoft for core platform, data, and revenue operations.
Active projects include data pipeline development for ad channels, billing and subscription system implementation, financial data automation, promotions product development, and feed optimization for marketplace listings.
Quartile's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.