Hedgeweek Names Similarweb Alternative Data Provider of the Year

Similarweb (NYSE:SMWB) was recognized as the Alternative Data Provider of the Year at the Hedgeweek US Awards 2024 award ceremony in New York today.

The award recognizes the benefits Similarweb’s data and platform provide to investors leveraging non-financial measures of company performance as a way of anticipating market trends and evaluating the performance of private and pre-IPO companies. Hedgeweek US recognized Similarweb as Alternative Data Provider of the Year in 2021, and Hedgeweek Europe recognized Similarweb with this award in 2022.

“This year's award is an excellent recognition of Similarweb's digital alternative data and its value to the Investor community,” said Alyssa Lewis, Global Head of the Investors Vertical at Similarweb. “Through our comprehensive and real-time insights, Investors continue to make more informed decisions and generate alpha using our digital data, research, and advisory services.”

Similarweb Stock Intelligence serves the world's leading investors, offering an interactive platform, API, and feed delivery to meet varied analysis needs.

Winners of the Hedgeweek award were chosen with a total of over 29,354 votes cast, including 42% from managers, 23% from allocators, and 35% from service providers.

About Similarweb

Similarweb powers businesses to win their markets with Digital Data. By providing essential web and app data, analytics, and insights, we empower our users to discover business opportunities, identify competitive threats, optimize strategy, acquire the right customers, and increase monetization. Similarweb products are integrated into users’ workflow, powered by advanced technology, and based on leading comprehensive Digital Data.

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Disclaimer: All names, brands, trademarks, and registered trademarks are the property of their respective owners. The data, reports, and other materials provided or made available by Similarweb consist of or include estimated metrics and digital insights generated by Similarweb using its proprietary algorithms, based on information collected by Similarweb from multiple sources using its advanced data methodologies. Similarweb shall not be responsible for the accuracy of such data, reports, and materials and shall have no liability for any decision by any third party based in whole or in part on such data, reports, and materials.

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