Evergage, a real-time personalization platform, announced
the closing of a $10 million Series C funding on Wednesday.
Led by Arrowroot Capital, the financing also includes participation from G20 Ventures and PJC, bringing Evergage’s total
funding to date to $31.5 million.
The financing comes on the heels of a fruitful year for Evergage, as the company signed a number of new customers including Walmart México and Lenovo.
With the added financing, Evergage plans to continue expanding into new markets, particularly Asia and Europe, as well as investing in product development.
“Over the next six months, we
plan to add 15-20 more people,” says Karl Wirth, CEO and cofounder of Evergage. “Specifically, we will be hiring engineers and data scientists, as we continue to invest in and enhance our
real-time, Big Data and machine-learning capabilities. We will also be hiring additional solution engineers, customer success managers and directors, salespeople, sales engineers and marketing
staff.”
Evergage also plans to double the office space in its Somerville, Massachusetts headquarters.
Evergage is a marketing technology solution that helps unify customer data
into a single database, thus enabling marketers to deliver relevant experiences to customers in real-time and across multiple channels. The company claims that it personalizes experiences for more
than 2 billion website visitors and application users.
Wirth says Evergage will be releasing several product updates related to cross-channel personalization over the next several months --
good news for its customers ahead of the busy holiday retail season. The company will also add a new customer data platform functionality that provides detailed profile information on visitors, as
well as advanced audience segmentation capabilities, says Wirth.
He confirms that the company also plans to release a significant update to Evergage for Email, a solution that currently
helps email marketers deliver personalized content in dynamic email campaigns.
“We see the future of personalization as machine learning-driven--enabling companies to easily scale
their efforts and deliver personalization to customers at the individual level. We continue to invest in our own machine-learning capabilities and algorithms, which have helped customers increase
engagement and conversions.”