Pioneering Amazon Success
Where algorithmic innovation meets marketplace mastery to drive 7-8 figure brand growth
Co-Founder
- PhD in Automation & Data Science
- Architect of some of Jungle Scout’s core algorithms
- Built first accurate sales estimation algorithm for Amazon
- Created foundational product scoring systems
- Expert in AI, statistics, and algorithmic optimisation
- Scalable PPC automation specialist
- Business-focused algorithm development
Ellis’s algorithmic innovations became foundational to the entire Amazon research tool ecosystem. His work at Jungle Scout gave birth to the data-driven approaches that sellers across the industry now take for granted, bringing academic rigour to marketplace performance.
Dr. Ellis Whitehead
Danny McMillan
Co-Founder
- Host of Seller Sessions podcast (1,000+ episodes)
- Producer of Seller Sessions Live conference (7 consecutive sell-outs)
- Pioneer of ranking campaigns methodology (2015)
- BDSS Dream 100 Inductee for influence in the Amazon seller community
- Strategic advisor to Data Dive & founder of CURV Tools
- Published researcher on Amazon’s A9 algorithm. Seminal works include Rufus “The Blueprint” and “The Cold Reality of The Honeymoon Period”.
Danny brings deep marketplace connections, proven ranking strategies, and a sharp focus on what drives real results versus vanity metrics. His early experimentation with Sponsored Product ads in 2015 laid the foundation for what the industry now knows as ranking campaigns.
Our Story
In 2017, at an Amazon seller event in Germany, two visionaries met who would reshape how advanced brands approach marketplace advertising. Danny McMillan, already recognised as a leading voice in the Amazon community, encountered Dr. Ellis Whitehead, whose academic background in data science complemented his proven track record in building scalable systems.
The partnership proved immediately powerful. Ellis contributed a deep understanding of algorithmic development and the technical expertise behind some of Jungle Scout’s foundational algorithms. Danny brought extensive marketplace connections, strategic vision and, most importantly, his pioneering work in ranking campaigns that had already begun transforming Amazon optimisation.
Their core philosophy emerged early: “Sellers didn’t need more data. They needed better decisions.”
What Sets Us Apart
Databrill represents the intersection of academic rigor and real-world marketplace expertise. Unlike competitors who rely on manual bid changes and generic tools, we’ve developed proprietary technology with algorithmic precision.
Ellis’s foundational work on sales estimation and product scoring algorithms has become the standard across the Amazon software landscape. Similarly, Danny’s pioneering ranking campaign methodologies are now industry practice. Together, they’ve created a performance engine that consistently delivers results through algorithmic innovation combined with strategic marketplace insight.
We don’t just adapt to Amazon’s evolution—we help shape it. From pioneering ranking campaigns in 2015 to building sophisticated business intelligence systems today, Databrill has consistently stayed ahead of marketplace changes by focusing on core principles: better decisions, real results, and sustainable profitability.
Ready to Transform Your Amazon Performance?
Join the 7-8 figure brands who trust Databrill’s proven combination of algorithmic innovation and strategic expertise.
