Scaled marketplace sales.
By establishing an intricate performance monitoring system, transformed raw data from marketplace APIs into actionable insights, visualized on BI dashboards for executive decisions. Recognizing the specific needs of our top three sellers, with a combined annual revenue of approximately $10 million, crafted a specialized financial tool to streamline their logistics and facilitate their expansion into global marketplaces. Developed a novel cross-client analytics mechanism, a move that phenomenally tripled our client intake in a month, underscoring the company's adaptability and growth potential.
About expert
A International Product Manager at SEEDxCEED.
Dmitry applied their knowledge of Economics, Tech knowledge, Project management, Product analytics, Data analysis, Market analysis, Business analysis, Research and Discovery, Marketing analytics and Product management in E-Commerce on the following markets: South-East Asia, The EU, Eastern Europe, The USA and The UK.
Dmitry built products like Matching algorithm using the variety of tools.
Other cases by Dmitry
Guided the strategic vision at Careerist
I've used my strong background in Product Marketing to help boost our company's reputation in the Edtech sector. Leading a talented team, we've come up with fresh growth ideas especially suited for new companies like ours. In the changing world of Edtech, I've always aimed to make sure Careerist keeps growing and outdoes its goals.
Similar cases
Setting up efficient customer support
Organized pre-launch product UX testing, regular users research and new features backlog prioritization
Organized the company's participation in high-profile contests, resulting in Nimb becoming a winner of Smart City Expo worldwide Congress’s call for solution in the “Safe Cities” category and a finalist of Xprize Women’s Safety competition
Set up efficient client support
Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.
