Analysts love metrics. Specifically, metrics that can be easily selected, tracked and added, which when aggregated provide the raw data resources to create benchmarks and predict how the audience may behave in the future. To analysts – at first anyway – Social Media seemed God-sent because it allowed direct access to that audience and provided immediate and unfiltered feedback. No longer did we have to run costly focus groups with representative samplings and impose those findings on the whole. We now have access to the entire community and the ability to solicit feedback from the entire group.
So why is measuring Social Media still such a debate?
We’ve all seen the statistics on the growing number of people that continue to flock to social channels to share their experiences and opinions. According to a JC Williams Study, 91% of those surveyed indicated that customer content is their primary decision criteria. In a similar study, Marketing Sherpa reports 87% trust a friend’s recommendation over a critic’s review. We all know this; what we don’t know is how to effectively quantify its value to the business.
Marketers have begun to map how 
Measuring the nature of that influence is what has so many analysts perplexed when it comes to gauging the effectiveness of social media engagement. How do you measure the “nature of influence” on the sales cycle in linear, numerical statistics that executives demand and are accustomed to? Tracking and reporting social activity such as likes, follows, referrals, purchases, etc. does not translate to this new requirement.
The Common Measurement
There’s one common measurement denominator that many social media marketers have been avoiding but that can solve this dilemma: profit. Measuring anything in a business is meaningless if there’s no business, and profit is the lifeblood of a business. So measurement goals must shift from counting metrics such as social activities to monitoring how social engagements are impacting the business’ bottom line. Measurement practices must evolve to chart the entire customer lifecycle including the conversations that influence it.
Tracking and scoring the context, frequency, participants and tone of conversations that touch the customer lifecycle – and how the outcome on the business’ profit differs when the nature of those influencers change – is key.
We live in an era where our brains are almost literally connected to each other through technology. Decisions are considered and made by the collective. We’re currently measuring how that collective makes decision based on the amalgamation of individual experiences but the next frontier in social media measurement is to identify how the nature of influence impacts the bottom line.
Guest Author:
Sam Fiorella is a globetrotting interactive marketing strategist who has earned his stripes over the past 20 years in senior management roles with corporate sales &marketing teams as well as consulting for more than 30 marketing agencies. Sam’s experience with over 1600 Interactive projects during the past 15 years spans the government, finance & insurance, manufacturing, national retail and travel/tourism sectors. Currently, Sam is the Chief Strategy Sensei at Sensei Marketing, where he is charged with strategic campaign guidance and marketing technology development that power the Sensei Customer Lifecycle Methodology. Sam is a respected blogger and popular keynote speaker on marketing, branding and social media communications having presented at more than 200 conferences in the past 2 years. Follow Sam on Twitter or Connect with him on LinkedIn.