Amazon seller optimization through data-driven experimentation
Sophie Society is a 11–50 person agency helping Amazon sellers grow through systematic testing of traffic, conversion, and listing strategies. The tech stack is Amazon-native (Seller Central, Helium 10, Amazon Advertising) paired with BI tools (Power BI, Tableau) and Python for analysis — revealing a consulting model that runs client campaigns live while extracting learnings. Marketing dominates hiring (14 roles), but the project backlog shows persistent friction on inventory forecasting and demand prediction, suggesting the core challenge is converting experimental wins into scalable operations.
Sophie Society partners with Amazon sellers to improve product launches and sales scaling through data-driven strategy validation. Founded in 2018 by a brand owner with a scientific background, the company operates across five service areas: traffic optimization (PPC, promotions), conversion rate improvement (listings, creative assets), inventory management, campaign testing, and client success. The organization is US-headquartered (Hopewell, New Jersey) but hires across five countries, with marketing and sales roles forming the majority of active job openings. Internal projects span A/B testing, creative optimization, onboarding workflows, and demand forecasting — functions typical of a high-touch professional services firm managing multi-channel client campaigns.
Primary tools are Amazon Seller Central, Helium 10, Amazon Advertising, Power BI, Tableau, and Python. Analytics flow through Google Analytics, with creative asset generation via ChatGPT and Jasper. Team coordination runs on Slack, Asana, and Notion.
Headquartered in Hopewell, New Jersey. The company has 11–50 employees and is registered as a public company, founded in 2018.
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