For the first time in history, businesses can leverage big data for the benefit of driving marketing insights. We are at the very beginning of this wave, but this fundamental shift will create several multi-billion dollar winners. And a set of technology companies will emerge as the marketing equivalents of Salesforce and SAP.
Based on this thesis, my partner Scott Friend (founder of Profitlogic) and I have been actively investing in this arena on behalf of our firm, Bain Capital Ventures. BloomReach, CQuotient, HookLogic and TellApart are among our recent early-stage investments in this new category of marketing innovation.
At the heart of each of these companies are CTOs and engineers who have experience with big data and modern techniques for data mining, analytics and machine learning. These companies typically charge on a performance basis as opposed to charging traditional enterprise software license fees. And they are having a significant impact on their customer’s revenues and profitability.
Why has it taken so long to get here? Enterprise software began in the back office
The world of enterprise application technology has gone through a number of iterations and evolutions over the past 30 years. In the late ’70s and ’80s, enterprise software consisted of mainframe and minicomputer solutions designed to handle various back-office functions: finance, HR and manufacturing. Over time, the winners in each of these functional applications areas — SAP (manufacturing), Oracle (financials), PeopleSoft (HR) — began expanding into the adjacent categories, spawning the ERP wave (enterprise resource planning). In the ’90s, these companies became behemoths, thanks to a concurrence of factors — the movement to client server infrastructure, the trendiness of corporate “reengineering,” the urgency around Y2K and the growth of the large system integrators.
The focus on the front office
As of 1995, the majority of enterprise software dollars were focused on back-office functions while the sales and marketing functions were largely ignored or served by smaller point-solution vendors. This opportunity led to the creation of several companies, including Siebel and Trilogy (the company I was with for eight years). Siebel became a very large and successful organization and was ultimately purchased by Oracle for $5 billion (its market cap at one point was over $60 billion). More recently, Salesforce has leapfrogged Siebel with its SaaS approach. With a market capitalization of $17 billion, it has become the new industry heavyweight.
Despite the last 15 years of automation of sales functions, marketing functions have been underserved and underpenetrated in terms of enterprise software. While the other corporate functions have all created multibillion-dollar software companies, the marketing function has only had one exit north of one billion (Omniture). (See exhibit below.)
[Note: Oracle value represents an estimate of only the value of their financial software application business. SAP represents an estimate of the value of only their manufacturing suite. Siebel, Peoplesoft and Taleo values are based on the prices at which those businesses were sold to Oracle. SuccessFactors’ value is based on its sale price to SAP. Baan’s value is their peak market cap. Omniture’s value is based on its sale price to Adobe. Intuit, Netsuite and Salesforce.com values are based on it public market values as of 2/27/12. Disclosure: Bain Capital Ventures was an early investor in Taleo.]
Data versus process
Historically, the challenge with marketing automation is that it has always been about “process,” not about “data.” Back in the ’90s, marketing apps were tools used to manage campaigns. More recent categories, such as email marketing or marketing automation, are focused on process automation — how to take a set of manual tasks and streamline them, track them or automate them.
However, marketing-focused software solutions have never been about strategic data. Unlike financial software, which serves as the system of record for the general ledger; or manufacturing resource planning software, which “owns” the bill of materials; or sales-force automation, which is the system of record for the pipeline and the funnel, there is no equivalent for marketing. Until recently, it has been difficult or impossible to collect structured data on marketing prospects who were not customers — that is, folks who had not yet decided to buy and were still somewhere upstream in the purchase funnel. Absent this data, the best marketing technology could do was improve the process of decision making as opposed to delivering real insights.
The web changes everything
As more and more businesses across all sectors of the economy move to the web, this kind of data — and a massive amount of it — is finally available.
- A web business can mine thousands of signals from its prospects based on the hundreds of actions a consumer might make on a website (checking a price, looking at an image, reading a review, typing in a detailed search query, etc.).
- The holy grail of closed loop marketing is finally here. With sophisticated technology and analytics, marketers can link spending on customer acquisition directly to a set of downstream customer actions — whether those actions take place on the web, on a mobile device or in a physical location.
- Consumers with smartphones are conveying their intent while scanning QR codes, downloading mobile coupons or simply walking into a store with their location-aware device.
- Social networks are providing a new source of demographic data that, combined with Facebook’s Open Graph, offer marketers a new treasure trove of information.
I am excited about this next wave in enterprise technology. Marketing will finally emerge from the backwater and will give rise to several multi-billion dollar companies.
Ajay Agarwal is a managing director at Bain Capital Ventures’ Palo Alto office, where he focuses on early-stage technology investing. Prior to joining Bain, Agarwal ran sales and marketing at Trilogy.
For more on how big data is shaping technology, be sure to check out GigaOM’s Structure:Data Conference in New York City on March 21 and 22.