When What You Know, Isn’t Accurate

We’re living in the age of Know-it-allism. And why not?  Any person with access to the internet can literally find information on any topic known to man. We are only limited by how quickly we can consume that information.

At least that’s how some people look at it.  But there’s a difference between “knowing” something and experiencing it.  That’s especially true when what is “known” is built on a lot of subjective variables and viewpoints.

Tom Nichol’s book The Death of Expertise: The Campaign against Established Knowledge and Why it Matters walks through a multitude of reasons that most people aren’t consuming reliable information. However, they take action on the information regardless of its validity. 

Digital marketers should be concerned with established knowledge for two reasons. 

The first is that we leverage the same social media and content publishing platforms that are so prevalent in assisting bad actors to disseminate unreliable information.  That means we have to keep our content compelling and accurate to credibly garner attention and build an engaged audience.

The second reason is that digital marketers need to critically review the content and best practices that they want to adopt for their marketing campaigns. There’s no shortage of people striving to establish themselves as a “thought leader” who will dole out advice just because they think it sounds right.

Speaking for myself, I must see dozens of affiliate or link-building “experts” on YouTube every day.  Each one claims to have the secret sauce to help me get rich . . . and quick.  For all I know, one of them might have a fool proof plan.  But I also know I’d have to wade through ninety-nine frauds before I found something legitimate.  And the legitimate one still might not work for me because of timing or my personal style.

Best practices always need to be reviewed for individual suitability. What doesn’t work well for one company or industry, might be a valuable strategy in another.  Think critically as you consume digital marketing ideas and participate in a social or online platforms that can set ignorance and inspiration on equal ground. It can be difficult to challenge our own digital marketing biases without having ill-advised outside influences guide us toward ineffective ideas.

Sometimes Simple Digital Marketing Analytics . . . Are Too Simple

Do you get overwhelmed by your digital marketing analytics?  Many trainers, consultants, and professional coaches do.  There are a lot of channels to account for: email, social, SEO, SEM, referral links, etc. Trying to make sense of data from all the platforms that drive these channels can be daunting.  Trying to consolidate all the metrics into one tool like Google Analytics sounds ideal but can get very complicated and time consuming to implement and verify. 

This leads many trainers, consultants, and professional coaches to seek out simplified versions of the data through reports or dashboards.  While the motive is understandable, and even admirable, it requires a dedicated process of compiling the complicated data into a comprehensive and informative dashboard.  Anything less will oversimplify your data rather than clarify it.

Need an example of how oversimplification causes problems?   Recently a group of trainers were interested in how their personal social media posts compared to the posts to the company social media pages.  Compiling the data from the social media platforms data was going to take time and money that the trainers did not want to spend.

As a shortcut, the trainers requested monthly analytic data from their established marketing dashboard, Google Analytics, to get a high level view of their digital marketing efforts.  Since Google Analytics was set up to track traffic from social media and could be segmented to identify the source, the assumption was that it would be a solid data set to see what profiles were generating the best results, personal vs. company.  The data clearly showed that the company profiles were generating more traffic, about 3 clicks to one.

The decision was made that personal social media accounts were not generating as many clicks, so the trainers would scale back their activity on social media and invest their time elsewhere. A month later, leads had dropped by twenty percent.

What happened?  Oversimplifying the data meant that interactions on social media platform like comments or requests were overlooked.  Google Analytics was only compiling data from people that visited the site from social media links. It was completely ignoring any leads that were generated directly on the social media platform.

These lead sources were a rich channel of opportunity that suddenly was cut off because incomplete data was used to evaluate personal profiles. Upon re-instating personal profile activity and doing a more comprehensive review, we found that the trainer’s personal profile activity was producing slightly better results than the company profiles.

If you are going to evaluate an element in your digital marketing process, make sure you have a reliable and understandable data set to work with.  It’s almost impossible to get a comprehensive set of data from all your channels to account for all your marketing interactions. Be aware of your data’s blind spots and at least incorporate anecdotal for the channels where your data is not centralized. Simplifying complex sets of data is helpful to get digestible metrics. However, simplifying metrics often leads to oversimplifying the information which results in lazy and unproductive digital marketing decisions.