Unlike many other social data conferences I have been to, the first example that Chris brought up on stage was an Enterprise use case—not a PR/marketing/brand management/customer service one—but an actual example of how an industrial parts supplier can use a ‘Social Cocktail’ that can include Twitter, Blogs, Comments, etc., to find early signals that can indicate an opportunity or a risk in their supply chain.
How refreshing, I thought, a conference where I perhaps won’t have to constantly explain that what FirstRain delivers with FirstTweets is not about monitoring and measuring media, but about business intelligence derived from social content.
Clare Tischer, wrote a comprehensive post on Chris’s presentation that you can read here and one of the slides he used (which I have replicated from my notes below) was of particular interest around ‘fast’ and ‘deep’ social data and how they are used within the Enterprise.
Although Chris said that the descriptions of the different groups were not representative of all business units that can take advantage of the ‘Social Cocktail’, there are two specifically that were not on the graphic that I think are very important because they are direct revenue producing groups that our FirstRain solutions target.
The business needs of Major Account or Global Sales, for example, are just quite different than those of a PR Manager. Take, for example, use cases we are seeing with Enterprise Sales Account Managers who are using FirstRain with FirstTweets. As I have written before, typical coverage for territory and market coverage may require:
Meanwhile, market Intelligence teams are often looking for a comprehensive view into the movements of their industry peers, partners, competitors and top customers, keyword searches on monitoring platforms sometimes are not enough and can’t scale across the volume of things they look for and need to find, including:
FirstRain’s patented business-content filtering engines analyze a wide range of global content, including news, blogs, PR, company Web sites, government filings and Twitter of course—extracting only business-relevant intelligence from around the world—without the consumer-related noise that many other social media monitoring tools do a great job at for brands to monitor and support customers.
In part two of my Big Boulder post, I will go more into the other sessions and the messages from the data providers. But overall, the conference was an excellent place to learn more about the value of social data and many of the conversations I had with other attendees and panelists. The conference not only validated, but proved, that with FirstTweets we are taking the right approach to incorporating the ‘Social Cocktail’ for our clients by leveraging our ability to extract and deliver precise, high-value customer intelligence.
(Social Cocktail Menu – Photo credit: www.theverge.com)