Good post yesterday from Mike Nelson at Livingston Communications: “A Poor Man’s Guide To Finding Influencers.”
Mike points out good (and free) resources to help PR firms and marketers find people they need to reach out to on the social web.
This is a great way for communication specialists to get started and get a feel for the amount of buzz out there on their topics as well as the profiles of the people covering their issues.
Just like everything in life, you get what you pay for, and one can’t have too high expectations on the precision of the results coming out of a manual web search for these influencers.
The reason why such a method is not sustainable over time (though I’d argue a great way to get your feet wet) is that as soon as you start getting serious about it, the data quickly becomes absolutely overwhelming and you only manage to get a very partial picture of the activity level, let alone the opinion leaders behind the activity.
When we introduce TRAACKR to web-savvy PR agencies and marketing firms, we often hear that they are already managing a list of online influencers that they created following a process very similar to the one Mike Nelson describes. Our response is always the same: great, let’s compare notes!
The results are invariably the same when we apply our technology and run an influencer search: we always find the group of influencers identified by our client being a small subset of our online influencer list. We also find that they had missed many (sometimes most) of the top influencers in their market; they also misqualify many influencers in their list and as a result focus on lower ranking (less impactful) ones.
The three main reasons behind this gap are:
1- the amount of data and data processing required to thoroughly qualify individual contributors on the web cannot be handled manually.
2- results are very fluid and change rapidly over time: if your list is one month old, chances are that you need to do it over.
3- manual searches result inevitably in personal bias and the person performing the work involuntarily introduces a systematic bias in search terminology and filtering that results in screening out some influencers while promoting others with no corroborating evidence.
Understand that I’m not criticizing the people who have undertaken the Herculean task of finding influencers by themselves, quite the opposite: marketers and PR professionals who are currently doing this work are ahead of the curve and have learned tremendously; they will be able to carry this experience with them as this new field develops.
The good news is that TRAACKR brings is that the days of searching manually for online influencers are over and communication professionals can now concentrate on more value-add tasks: making their client or marketing campaign news-worthy!