DoRevolution was formed in 2013 with the mission to make Big Data actionable by using cognitive computing to augment human cognition. Through the use of cognitive computing – exemplified by systems like Watson, IBM’s Jeopardy champion – man and machine together can do things neither can do alone.
Our first product Pi’s vision is to become the leading provider of cognitive computing solutions in a variety of markets. Pi will first apply cognitive computing to the complex and rapidly growing field of digital marketing optimization (DMO). Leveraging this technology and experience, Pi will expand beyond DMO.
DoRevolution will create a comprehensive, end-to-end DMO solution. It will accommodate massive quantities of data from multiple sources, hundreds of best practices, multiple advertising channels, and vast numbers of potential keywords. Like the latest DMO technology, DoRevolution will use the predictive modeling algorithms and bidding technology of modern portfolio theory from quantitative finance. To do all this and create a solution that is easy to use and learn, we draw on techniques from cognitive computing, including machine learning and decision science.
Four capacities characterize cognitive computing: 1) to sense, or acquire unstructured information in multiple modalities; 2) to think, or process information to draw useful inferences; 3) to guide action, or draw inferences that are actionable; 4) to learn, or adapt and improve performance over time based on feedback.
Managed $1B+ in Ad Spend • Growth Mentor @ 500Startups • Founder @Growth Machines • Founder @searchforce • Marketing @ eBay • Cornell MBA
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Who we are
DoRevolution's team has had notable success commercializing technology, and has deep expertise in digital marketing, marketing optimization software, artificial intelligence and data science. He built his last startup, SearchForce, into a multimillion dollar company with Fortune 500 clients.
Why we're doing this
We exist to resolve two main customer pain points: 1) Companies now typically get more data, across a variety of channels, than they can easily synthesize and process. 2) DMO without automation is prohibitive because it is a complex process requiring data scientists, who are in short supply.
Most impressive accomplishment
Built Search and Social Media platform SearchForce from ground up to a multimillion-dollar operation with Fortune 500 clients and managed a total of $1B+ in spend.
Tell us why you're building this business, and why you're the right
person to do it.
Pi will develop a general-purpose product focused on the largest market for DMO, the subset of cross-channel digital marketing spend related to pay-per-click keyword bidding; the channels include search, social media, and mobile. Next Pi will target specific vertical markets. Over time Pi will expand into other markets besides DMO that can benefit from a cognitive computing approach.
Size of market.
Businesses spent $37B on digital advertising in the US and $103B globally in 2012. The US market is expected to grow to $55B – the world market to $160B – by 2016. The size of the market for digital marketing tool providers is expected to be $1B in the US and $4B globally by 2016. (Gartner)
Pi will use a subscription-based SaaS licensing model with rates based on the type of business and a percentage of advertising spend. It expects this scalable model to attract companies of all sizes.