Friday, February 15, 2013

Nutella gets us out of bed through Facebook


As the social media landscape has evolved marketers have focused on the trend and psychology of sharing. However, as the market changes there may be a tipping point as to how much media we actually want to consume and share. 

So how do social media platforms impact consumer behavior? And how and why do social media networks such as LinkedIn, Facebook and Twitter continue to influence user behavior?
So I took a look at three specific examples to show how social platforms have shifted user behaviour but also were influenced by it.


Twitter favourites

This is a great example of how a relative simple design change has impacted user behavoiur and a shift to ‘favoutirism’. In December 2011 Twitter changed its site and added to show you who had favourited your tweets. A simple change that saw a massive impact in user behavior. 
John Herman at Buzz feed noticed that a there was suddenly a steep rise in the number of favourites around ‘lets fly’ and a shift in how people think tweets are: objects rather than posts; units of media rather than simple links.
Many a social media marketer will see the similarity to the Facebook like and as Neil Perkin suggests a new way to say ‘Good post’. For me the graph below highlights how one simple platform change can have a huge impact on consumer behaviour
Note: It is interesting to see SEOMOZ releasing news on its new measure of social authority based on Retweets this week.  For me perhaps this is not the best metric of influence and maybe this is for discussion in the comments section. Could this be an example of a community trying to influences it’s wider community behavior?

LinkedIn 1%

Who received there LinkedIn top 1% or 5% status?. In many ways a very clever campaign to encourage social sharing and play upon ego metrics and factors related to Maslow’s hierarchy of needs. However in many ways it can be viewed as pointless and not relevant. Either way it influenced consumer behavior immediately and peoples desire, need to share.
Kudos to Martin MacDonald of Expedia for pointing out data taken from Topsy on the correlation between the social campaign from LinkedIn and user behavior
  • 300-600 tweets per day suddenly jumped to 47000 over a few days. 

Facebook Graph Search

Facebook Graph Search is, basically, personal big data. It’s a search engine based on your data and your network data – connections and likes – and has taken a layer of big data and built a preference engine around this that represents a new era in the development and relationship between search and social and a shift, or in Facebook’s need, in consumer behavior.
Security and privacy of data has always been an issue online and Facebook’s Graph search does limit the amount of information available but it does make you personal information more available for others – friends of friends and likes. When looking at the potential privacy nightmare it is clear to see that the this change will impact consumer behavior and what’s more, if it doesn’t, consumer behavior will dictate its success or failure.

Conclusion

The 3 examples above all give us reasons to share but also reasons not to share. Fear, Privacy and strategic goals may prevent people from over sharing of personal information in the future whilst business people begin to think and act more strategically about their use of social networks and social connections. This could be based on a need for survival rather than just a simple formula that matches the traditional social media hypothesis to Maslow’s hierarchy of needs – Maslow rewired.
Social media networks do dictate consumer behavior but at the same time their success relies on it.

(via)


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