BrandSavant

Gaining Insight From Social Media Data

Influence From The Bottom Up

by Tom Webster on January 25, 2012

I look forward to the yearly release of Edelman’s Trust Barometer – particularly for its global perspective, which helps me provide context for my own international clients. This year’s report is chock full of insights, and some remarkable shifts. Some of the changes from 2011 can be attributed to a bit of a change in the methodology of the research, but (as a researcher myself) I appreciate the transparency in reporting those changes, which I believe make the data richer.

David Armano has a nice piece here on the shift in trust from organizations to individuals which merits a read, but what also struck me was the juxtaposition of two findings in particular:

First, about the only thing that showed an increase in trust was media – and in particular, social media, which showed a rise in trust from 8% to 14%. Again, methodology changes explain some of this, but not all of it, and it is clear from the data that as some of the institutions we have formerly trusted appear to crumble around us, we are, as a society, engaging in a “flight to comfort” by relying more and more on our social networks (online and offline) for our daily inputs.

Second, with the global decline in trust towards most institutions comes an axiomatic rise in skepticism (and, for some, cynicism). Nearly two thirds of those surveyed in the Trust Barometer indicated that they need to hear something at least three times before they believe it – with 28% saying four or five times. Repetition and trust go hand in hand – and, as some other data I have seen corroborates, repetition itself has a hand in creating trust.

These two facts, taken together, illustrate a very powerful concept regarding influence. While the purveyors of online influence measures (Klout, PeerIndex, Kred, et al) focus our attention on top-down measures of influence (the “top 10″ in a given topic is often all you see), we are all influencers, as Tamsen McMahon often says. Identifying “influencers” is merely step one in a more vital process – getting people to do the things you want them to do. Using online influence measures is potentially a useful first step, but it does focus you on “elephant hunting,” and sometimes those elephants net you a little noise, but nothing more.

The Edelman data suggests an alternative approach – the bottom-up approach. Hearing a message from a top-scoring “influencer” might make me read, or retweet a message – but seeing it repeated by five people I actually know, like and/or trust makes it law, regardless of the measured “influence” of those people. And getting the attention of those people, where the noise level is a little lower, is a pretty straightforward process with some time-honored components: sampling, trial, acknowledgement, recognition, reward and testimonial.

I realize I’m not saying anything too earth-shattering here; rather, I am simply suggesting that reframing your thinking about influencer outreach – flipping the funnel, as it were, from top-down elephant hunting to bottom up empowerment – might yield some fresh, new ideas, and get you thinking differently.

Which is my only real goal here at BrandSavant.

Here is the Trust Barometer summary report – well worth your time.

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I was delighted to be asked recently to contribute a brief video interview to the excellent Social Media Explorer, run by my friend Jason Falls. SME will be hosting a series of five events all over the country under the “Explore” moniker, and he has definitely raised the level of discourse – both by inviting top talent to speak (Aaron Strout, Tim Hayden, DJ Waldow, Zena Weist, Copyblogger’s Brian Clark and many more – all at the top of their game) and by challenging that talent to truly deliver a world-class educational experience. I will also be speaking, and I’ll be giving attendees a four-step process to improve their critical thinking about social media data to become better consumers – and creators – of information.

Jason asked me to talk about the difference between research driven by science, and research driven by the content creation imperative. I also made Jason pee a little. Worth your 12 minutes, I trust.

Oh, the first Explore event is in Dallas on February 17th. Register here today and save a pile.

Exploring Digital Marketing Data and Research With Tom Webster from Jason Falls on Vimeo.

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NewImageKlout says I am not an expert on headphones. I think I am. But, my social media activity around the topic has not been sufficient to warrant notice by Klout or any other influence service. So here I sit, bereft, betrayed, bewailing and bemoaning — in short, a beloser.

So what’s a poor boy to do? Surely I don’t want to turn my tweets into a withering torrent of headphone-related detritus, in a futile effort to show on the big Klout board. No, that would decrease my influence, if anything, if my social media output turns into a one-note joke. My tweet stream is about me, not an arbitrary list of topics. I’m a person, after all, not a dictionary (unlike my sesquipedalian-word-loving uncle Noah).

This is where I think Pinterest could come in. In a sense, it’s like a combination of Instagram and Squidoo – combining the content curation of the latter with the social aspects and personality of the former. Of course, there is a lot of duplication between Squidoo and Pinterest, but where Squidoo is organized around topics, Pinterest is organized around people. Setting aside the “social shopping” implications for brands, Pinterest is also a great place to curate pretty much anything you consume, including media and, of course, headphones. But for brands, the relative popularity of relevant pages might just be a better way for them to curate people.

If Pinterest takes off, brands combing through their server data might just find that the initial interest in their product early in the clickstream funnel might have come from someone’s Pinterest board. And if the makers of some of the headphone-related products on my “Audiophilia” pinboard happen to see a lot of clicks coming through that particular page, well – guess what? I’m an influencer about headphones, regardless of what an algorithm says, based upon an actual relevant behavior. After all, the best predictive measure of whether or not I might be influential about headphones in the future, is if I have, in fact, influenced people about headphones in the past.

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