Web Analytics Startup LogRocket Raises $25M to Fuel R&D, Scale Team

LogRocket expects to hire an additional 50 employees by the end of the year.

Written by Miranda Perez
Published on Jun. 21, 2022
Web Analytics Startup LogRocket Raises $25M to Fuel R&D, Scale Team
 CEO Matt Arbesfeld
LogRocket CEO and co-founder Matt Arbesfeld. | Photo: LogRocket, Built In

Anyone who’s managed a website on a small scale knows the pain of running into bugs and glitches. While on a consumer level, these bugs are often annoying, fixing the issue isn’t always simple for large enterprises with website software that affects the masses. Boston-based LogRocket, a web analytics company, has been addressing that hurdle for businesses since 2016.

On Tuesday, the startup raked in $25 million in its Series C funding round co-led by Delta-v Capital and Battery Ventures.

LogRocket helps large enterprise software teams catch issues and bugs on company websites that impact consumers. As LogRocket monitors glitches, it also records them so software teams can fully understand the issue and combat them with an effective solution. The platform also allows teams to see how users are interacting with their website.

With its new capital, LogRocket plans to focus heavily on enhancing its machine learning capabilities and hiring additional employees. LogRocket CEO and co-founder Matt Arbesfeld told Built In via email that the company plans to invest this capital in its research and development teams to continue to build out its digital analytics solution as well as its go-to-market plans. The current employee headcount at LogRocket is 130, but Arbesfeld expects that number to grow to 180 by the end of the year.

Since 2019, when the startup last raised funds, it has grown its customer base from 1,000 customers to 2,500. Arbesfeld accredits this jump in consumers to the pandemic’s acceleration of the adoption of digital applications. 

“With consumers accelerating their adoption of digital channels around the world, there is more data than ever before that can be used to optimize experiences,” Arbesfeld said in a statement. “Customers don’t need more data, they need more actionable insights from their data.”

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