Boomtrain Raises $12 Million in Series A Funding
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Predictive platform for 1:1 marketing expands engineering team to boost machine intelligence technology
SAN FRANCISCO, Oct. 13, 2015 /PRNewswire/ -- Boomtrain today announced it has secured $12 million in Series A funding with participation from Sierra Ventures, Cota Capital and Lerer Ventures. Boomtrain has raised more than $14 million to date, and will use the new funds to further advance its marketing personalization platform. By incorporating machine learning technology, Boomtrain enables marketers to automatically create personalized experiences for each individual customer across email, web and mobile apps.
The company addresses the hurdles that brands face in getting noticed by consumers in the digital age of unlimited choice. Boomtrain helps these brands cut through the noise and deliver an engaging experience for every individual, which is a crucial element today to win consumers' time and attention.
"Companies like Amazon, Netflix, Facebook and Spotify have reshaped industries and disrupted incumbents over the past decade by building their business models around using data to individualize the customer experience," said Nick Edwards, CEO of Boomtrain. "We make this technology accessible to everyone, whether you have 1,000 or 10,000,000 customers. Our clients use Boomtrain's predictive intelligence to deliver hyper-engaging user experiences to every individual at scale."
"Boomtrain helps our gaming properties deliver 1:1 individualized user experiences to our fans," said Michael Powers SVP at CBS Interactive. "The future of publishing and commerce will be built on machine learning technology and Boomtrain is a clear leader in this space."
By leveraging predictive machine learning technology, companies can now start talking to their customers like individual people, and drive engagement through relevant experiences. With marketers working to make more data-driven decisions every day, they can rely on Boomtrain to process massive amounts of structured and unstructured data, and automatically deliver value back to customers without a marketer having to manually synthesize analytics.
"Machine learning is fundamentally reshaping the way we understand and communicate with customers," said Ullas Naik, General Partner at Cota Capital. "Rather than struggling with overwhelming streams of data, marketers now have the opportunity to embrace true automation and predictive intelligence to better engage their customers."
Publisher and e-commerce clients using Boomtrain regularly see 50% to 100%+ increases in engagement metrics including click-through-rates, page views, time on site and conversions. Boomtrain currently has more than 100 customers using its platform, including leading brands CBS Interactive, The Guardian, and Thrillist Media Group.
"Our vision is to make the digital world more human, personal and relevant," said Edwards. "Whether it's discovering quality, engaging news articles or finding the perfect product for a loved one, using Boomtrain is like having a million marketers perfectly curate each of your customers' experiences."
In the coming months, Boomtrain plans to expand its team and build upon its delivery channels – including email, mobile and web – to allow for full-circle recommendations across all channels and optimize the entire audience journey.
About BoomtrainBoomtrain is the only scalable marketing platform with machine intelligence at its core, enabling brands to better understand and communicate with their customers. Boomtrain helps companies send individually relevant mobile app and email notifications at any scale, all in real-time, and as easy to integrate as Google Analytics. Founded in 2012, the company is headquartered in San Francisco and is backed by top-tier VC firms including Sierra Ventures, Cota Capital, Crosslink Capital, and Lerer Ventures. To learn more about Boomtrain, visit boomtrain.com.
To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/boomtrain-raises-12-million-in-series-a-funding-300158328.html
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