And that something is that the market needs better tools for mining and extracting insights from the exploding amount of data being shared online. As the saying goes, it’s better to observe ‘animals’ in the wild than in the zoo, and today’s $326 million acquisition by Salesforce further cements the importance of passive, or implicit, data, and companies which can extract value from it.
There are no doubt plenty of naysayers, laughing at the valuation, questioning the uniqueness of Radian6′s technology and pointing accusingly at their balance sheet. They needn’t. Regardless of whether Salesforce got great value or not, or if Radian6 has a unique product in the market, today they achieved a brilliant exit, and did plenty right to pull it off.
Radian6 got into the nascent social monitoring space fast, and built a dominant position. There may be plenty of lookalike products out there, but Radian6 certainly kept up with the market. They got a ton of clients on board by going direct. And importantly, they have always practiced what they preached – something many an agency could learn from. If you’re going to tell your clients to monitor and respond to social mentions, you should probably police your own online reputation fairly enthusiastically, and that’s exactly what Radian6 does. Easy to claim, far harder to execute on. In one of my least prescient moments, it wouldn’t surprise me if Radian6 indeed responded to this very post – that’s how they roll. And good on them for doing so, and for selling at a great price. Ultimately, Radian6 were quick to realize the significance of mining the social web, and doing so for their own business benefit.
And today’s sale really is the tip of the iceberg. It caps a number of industry acquisitions in the last year or so. To name a few:
There will be many more. So where will the next Radian6 come from? Since Radian6 launched, much has changed. 2 billion people are now online, and sharing an increasing amount of data. Twitter, the open platform of choice, handles 110m tweets and 10Tb of data per day . There is much we don’t know from buzz and sentiment measures alone. My money is on two main areas:
- Social Network Analysis - understanding how 2 billion people are interconnected, and influence the buzz and sentiment that Radian6 measures. I work with clients to do this on a custom basis, but not using self-service tools. Someone will bring that service to market, and create a company more valuable than Radian6.
- Computational language analysis – sentiment measurement is, well, sub-par. It’s unclear whether a sentiment analysis would even correctly attribute the sentiment of “sub-par”. The academic world is, however, working hard to improve on this. There were even a number of sessions at the recent SXSW conference dedicated to it, exploring techniques such as Bayesian topic models.
The market wants and needs these powerful tools. Large opportunities exist for those trying to capitalize on a more connected world, and I suspect Radian6 are working hard on developing these new tools as we speak. Just as Christakis and Fowler have brought network analysis to understanding health, the time is right for brands to bring this level of insight to understanding their customers.
