Posts Tagged ‘Klout’

Lies, Damn Lies, & Stinking Loads of …

Thursday, March 10th, 2011

Courtesy CBS Interactive & Star Trek

Remember that Star Trek episode where Captain Kirk is stuck on some barren planet with a 9-foot Godzilla-like lizard, and the two of them are supposed to fight rather than their respective armies? The big lizard hisses, “I grow weary of the chase. Wait for me — I will make it quick, and painless(sssss). That’s how I’m feeling about measuring social media right now.

It would be so easy to just give in.

I’ve been pondering how to measure influence, in particular, after a spirited discussion on both Justin Goldsborough’s and Shonali Burke’s blogs. That led to a bunch of posts on how we might use the structure of measuring relationships (Hon/Grunig).   This is heady stuff for peanut-brains like me.  The high-forehead types who make their living in the academe are used to thinking in these terms, but all of this stuff is pretty new for me. I’m just some guy, trying to puzzle out how to make sense of the concepts of influence in the social age, and apply the both new and hoary theories in the process. If I have to explain this stuff, I better have some ideas.

But there’s a lot more traction in just inventing a method and telling people it’s the standard, never revealing the contents of the magic box.  From Altimeter to Syncapse, to Vitrue to Klout, we learn that more-social companies have higher revenue than less-social (correlation is NOT causation); Facebook fans of a brand buy more stuff than non-fans (but which drives which?); Facebook fans are worth $3.60 (no, $136, no…), and that the “standard for influence” has something to do with Facebook and Twitter, but we’re not sure what because the formulas are secret.

H-E-double hockey sticks! I want to fight them all!

But, jeepers, why not just join them?  I came up with an idea last year to evaluate political material — know at a glance whether an article is left-or-right wing, moderate, or a combination of both.  I cooked up how it would work (programmed like automated sentiment), selected someone to write the code and even chose a name.

But it would have been a stinking load of … crap! I wasn’t basing it on any kind of research, just my own desire to make money, preferably by selling the company quickly to someone with deeper pockets, poor analytical skills and a short attention span.  Why go to all the trouble of vetting it, ensuring it actually does what it intends? That hasn’t stopped the flow of snake oil!

The class I teach at Kent State meets Wednesday nights, and on 9 March, the estimable Chuck Hemann, SVP for Ogilvy, joined us by Skype to talk to the class. He’s SUCH a smart dude (and he’s humble, claiming that I taught HIM stuff…) What my takeaway was: There are no easy answers to the social media measurement questions, and the snake oil is still gushing in the space. It takes some primary research, some actual analytical work, to figure this out. No shortcuts, no one-size-fits-all formula.

Here, I thought I’d missed the boat and should be hawking the Oil of Genius.  It’d be a lot easier than fighting the good fight, for sure. But I’m glad I’m still on the ramparts, exalting the troops to victory.

Even if I do, occasionally, “weary of the chase.”

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Could Measures for Relationships Work for Influence?

Thursday, February 24th, 2011

What IS the formula for calculating influence?

This isn’t a stab at Klout. After reading a number of recent blog posts on influence, and participating in several of the associated discussions, I’m just weary of the chase.

My gut tells me that measuring influence is situational and specific.  You simply cannot look at tweet streams, numbers of followers, frequency of @ replies or retweets, number of Facebook friends, etc., and draw conclusions about someone’s influence, and there’s research that supports that idea.

Trey Pennington, Justin Goldsborough, Shonali Burke and Mark W. Schaefer are in the fray (and I’ve commented in a couple of cases), and I wrote my own post on the topic.  It’s been an interesting conversation split between the “Klout is useless” – “Klout is making a good attempt” and my fringe element rantings that we need better research to figure out how to measure influence.

The deal is that there are few independently researched efforts to investigate the claims of well-intentioned entrepreneurs.  There’s inevitably a black box that contains the algorithms and secret formulas, and no one wants to subject their potential cash cow to measurement that might render it an Edsel.

James Grunig and Linda Hon wrote a seminal paper about measuring relationships that might hold a key to figuring out how to measure influence.  To determine strength of relationships, they write, focus on six components: Control Mutuality, Trust, Satisfaction, Commitment, Exchange Relationship and Communal Relationship.  Coming up next week, a look at each element and how they may or may not apply to measuring influence.

BTW, I found out recently that my Technorati Authority score is 406. My Klout score is 46.  I have no idea what that means.  But I want to better understand influence, so I’m going to run this down for a while.

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Useful Discussion on Measuring Social Media Influence

Tuesday, July 13th, 2010

Creative CommonsLynne d Johnson is working on a means of measuring social media influence, and is asking good questions about current tools and models. She rightly says that the core issue is a lack of a good definition of influence, and covers a couple of methods – Razorfish’s Social Influence Marketing Score and Altimeter’s Social Marketing Analytics — while calling for a deeper definition.

I always am wary about anything smacking of “calculators” in social media and PR, particularly those advanced by companies with an interest in selling social media as a revolution.  But Johnson’s role as SVP of the Advertising Research Foundation lends a serious imprint to the task. The ARF is working with the Word of Mouth Marketing Association (WOMMA) to create a set of social media measurement guidelines for the industry, she wrote.  My only concern is that the effort — being driven by marketers — will continue the marketing-centric, impression-oriented, reach-focused, quantity over quality mentality we’ve seen so far — or that it will be full of, well, BS metrics and methods.

Johnson writes of her similar concern, “I don’t think we’re talking about a wrong way of looking at influence, but we could be looking at only one side of the equation. In measuring social media, we have to listen, observe, and study to understand who the real influencers are. Perhaps an influencer’s influence isn’t driven online, but offline. Here’s where Razorfish’s SIM Score (or perhaps Altimeter’s Social Marketing Framework) can help us capture–along with the aid of engagement in a private community, an interview or survey–the offline component.”

Read the piece — it’s worth it.

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