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Udi Cohen is an accomplished business leader and executive, best known for his transformative role as the Chief Executive Officer of Similarweb, a leading digital intelligence platform. During his tenure, he spearheaded the company's global expansion, product innovation, and successful initial public offering (IPO) on the New York Stock Exchange. With extensive experience in scaling technology companies, Udi has a strong background in strategic planning, market development, and fostering high-performance teams. His leadership has been pivotal in establishing Similarweb as a key player in the competitive landscape of market research and data analytics. He is recognized for his strategic vision and ability to navigate complex market dynamics to drive sustainable growth.
Udi Cohen's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully guided Similarweb through its Initial Public Offering (IPO) on the NYSE in May 2021, marking a significant milestone for the company and solidifying its position in the public market.
Drove Similarweb's international growth, expanding its operations, customer base, and market presence across multiple continents during his leadership.
Oversaw a period of substantial revenue growth and organizational scaling at Similarweb, transforming it into a leading digital intelligence provider.
Championed the development and enhancement of Similarweb's product suite, establishing the platform as an essential tool for businesses seeking digital market insights.
Tel Aviv University - Year 2006
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Similari is an AI-powered platform designed to help businesses understand and leverage their data through advanced similarity search, clustering, and anomaly detection. They focus on making complex data analysis accessible and actionable, enabling users to uncover hidden patterns, identify similar items or behaviors, and detect outliers within large datasets without extensive data science expertise. Their technology is applicable across various use cases, including recommendation systems, fraud detection, and customer segmentation.
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