What’s Next After SaaS? Big Data Applications

This is a guest post by Ajay Agarwal, my colleague at Bain Capital Ventures, who was the Series A investor in BloomReach. That company has the kind of story that gets all of us excited to build great tech. Congrats to the team!

Today one of our portfolio companies, Bloomreach, announced a new funding round led by NEA and their partners Scott Sandell and Ravi Viswanathan. Bain Capital Ventures and Lightspeed Venture Partners also participated in the round.  We are thrilled to work with NEA and welcome them to Bloomreach.  I have known NEA for 17 years…their managing partner, Peter Barris, was on the board of Trilogy.  Peter, Scott, Ravi and the entire partnership at NEA are world-class.

I had the good fortune of meeting Raj De Datta and Ashutosh Garg, the co-founders of Bloomreach, four years ago.  At the time, it was the two of them and an idea. The founders wanted to solve the “content discovery” problem online and make sure that every web business in the world could be effectively “found” by their respective customers.   Together, we at Bain Capital Ventures and the founders spoke to over 25 CMOs to validate this opportunity – the feedback was extremely strong and helped shape the initial product vision. We subsequently led the Series A funding in March of 2009, alongside a great group of strategic angel investors.

Less than four years later, Bloomreach employs 100 people and is on path to being the fastest growing SaaS company in history.  They are one of the pioneers in the emerging Big Data Applications space: using data from inside and outside the enterprise to transform enterprise functions.  Bloomreach uses techniques such as machine learning, web crawling, and search technology to mine a massive amount of data. That data drives marketing insights, new customer traffic and most importantly, new revenue.  On average, BloomReach customers see 94% lift in non-branded, natural search traffic.

Unlike the last generation of SaaS and cloud marketing applications, Bloomreach is not a “form on top of a database” or a repository of manually entered data and workflow.  These types of sales and marketing automation solutions are necessary and important, but fail to deliver real measurable business value and ROI to the enterprise.  In contrast, Bloomreach and companies like it are helping web businesses large and small enjoy high margin revenue through an automated service and by doing so, are transforming the marketing function….which we believe is the next 10 Billion dollar opportunity in enterprise technology

Raj and Ashutosh have been outstanding founders and exemplary leaders.  They have created a company and culture that is built to last.  The last four years have been a fantastic journey.  The opportunity for Bloomreach is awesome and we look forward to deploying the new funding in relentless pursuit of our vision.

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About Indy Guha

Since 2007 (when I joined Bain Capital Ventures), I've been investing behind great companies like Archer Technologies (acquired by EMC), Rapid7, Blip.tv, TargetSpot and others. I've had the pleasure of helping entrepreneurs with everything from acquisitions (e.g., Brabeion Software by Archer Technologies) to key management hires - hopefully that experience can be helpful to you. I live/work in the Bay Area and would love to meet anyone who wants to talk about great tech ideas... preferably over coffee or beers - I love both of those things almost as much as geeking out over tech.

Posted on October 18, 2012, in Bain Capital Ventures, Big Data, Big Data Applications, BloomReach, E-Commerce, E-Commerce Enablement, Marketing Software, Software-as-a-Service and tagged , , , , , , , , , . Bookmark the permalink. 1 Comment.

  1. I think big data is going to push the world to a place where better decisions are made everyday, improving everything it touches faster. The business owners will prove it’s productivity and eventually will be used by the cities and government. The software aspect comes in with providing an easy way to understand, interact, and analyse the data to make decisions easier. My question is how will it be deployed and what size of organizations will find it most valuable? Will it be similar to a SaaS deployment, focusing on a group of SME’s understand their space, or help large enterprises understand their company. Maybe it’s a mixture of both?

    Cheers,
    Steve
    wwww.automate-life.com

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