The New Business Intelligence of Social Media
The following is taken from my last social media column on Search Engine Watch. Thanks to all who re-tweeted and shared to make this post more popular than the first one written on social search optimization. I count on this kind of response to help guide the topics I’m covering. Muchos gracious amigos…
As one who runs a social media agency, I’m often addressing questions around the topic of social media research, monitoring, and analytics. The questions vary, but are typically consistent in nature:
- How is research valuable to social media?
- What do all these tracking tools provide to guide strategy and tactics?
- What should we really be doing with social media?
Answers to these questions may be unique to any given effort, but a common best practice for entering and maintaining a wide range of social media initiatives begins with business intelligence (BI), a term first coined over 50 years ago to describe computer-based approaches for analyzing data to support decision making.
The Tools and Top 5 Measurable Attributes
Having worked with lead offerings developed by companies that include Crimson Hexagon, Buzz Metrics, Collective Intellect, Radian6, Sysomos, Filtrbox, and Umbria, here’s a quick summary of function and value:
- Volume of Conversation and Share of Voice: Find and track a significant amount of content within online “conversations” that matter to you most. For benchmarking purposes, conversations are often segmented by subject matter (competitive/industry brands, products, services) and source (Twitter, Facebook, blogs, forums, etc).
- Identification of Key Themes, Opinions and Trending Topics: The tag cloud is a basic representation of this. If the volume of data warrants, filtering conversations by theme and topic is a way to obtain deeper meaning and value.
- Sentiment Analysis: The main function is indexing the tone of conversations (positive, negative or neutral), with more sophisticated insights gained through content matched to varying degrees of sentiment (satisfied vs. very satisfied).
- Influencer Identification: This is about growing a database of relevant individuals, organizations, and web properties with a history or potential of influencing conversations about your subject matter. Beyond traditional influencer identification, companies like Linkfluence focus on identifying how content spreads through and across communities (lifestyle, gossip, political, etc.).
- Social Graphing and Viral Tracking: Tools from companies like Rapleaf give insights into where your customers (and potential customers) frequent online by linking e-mail addresses to user accounts within social networking properties (LinkedIn, Facebook, Twitter, Amazon, etc.).Beyond web analytics, tools like Meteor enable you to track what goes viral and, importantly, where it goes viral. It’s easy to assume a well-known influencer or community will spread your content like wild fire, but the reality is it may better propagate through several lesser-known communities.
The Big Question: How is this Data Actionable?
The gap between data and actionable strategy is a common frustration. If the data doesn’t inspire strategy, then no action will occur. If there’s no action, there’s no ROI.
Here are a few examples of social BI in action.
Considering the numerous choices associated with social strategy and execution, it might just be safe to say companies not taking advantage of business intelligence are being… um, unintelligent.
on Oct 13, 2010
Great article Jason!
I think there’s a lot of great info in here that people looking to get into or get the most of social media intelligence could use. I’m going to be sure to pass this on for people to see.
Also, thanks so much for giving Sysomos a shout out in here.
Cheers,
Sheldon, community manager for Sysomos
on Oct 14, 2010
I like your list at the end. Seems simple but I see a lot of people not doing it right
.
About Influencer Identification, I totally agree that it has to be done in context (i.e communities) – For example here, we’ve mapped 2000+ social media marketing bloggers and have published regularly the top 150 of them (fyi, we’ve mapped hundreds of communities in depth).
About sentiment analysis, a tricky subject…my partner Dominique just wrote a post about it on our blog.
Laurent
on Oct 25, 2010
A good list of information. Thanks a lot. This is going to be useful.