Polygraph Media Blog

What Lance Armstrong and Facebook Have in Common

Today's blog post comes to you from our Business Development Manager, Craig Carter, who had a little fun speculating about Lance Armstrong and Facebook. I thought it was pretty amusing, so here goes...

(Preface—Except for the Facts and Figures charted below, all statements are pure speculation and have not been confirmed by the World Anti-Doping Agency.)

What do Lance Armstrong and Facebook have in common?

The short answer is they have both given their teammates Performance Enhancing Drugs (PEDs).   Now before you go running off to the mountain top, screaming that Mark Zuckerberg is peddling concentration steroids to his coders, let me explain.  Large brand pages and Facebook are all on the same team.  In one way or the other, they are working together to improve marketing performance, brand image, and make a profit.   So WHEN, HOW, and WHY did Facebook, not only begin to give brands PEDs, but dare I say, try to get them addicted?

It all started around June 6 (conveniently after the FB stock price declined 30 percent in 20 days) when all engagement metrics on large brands and company pages started to track upwards faster than the Cliffhangers Game on “The Price is Right.” 

 

I am sure this is partly because of some great new content, more posts, insights from Facebook Ninjas/Gurus/Rock Stars, and increased ad spending on Facebook, but more so, Facebook hooked up the engagement IV to all its pages and started pumping them full of likes, comments, and shares. Just imagine Lance secretly giving his racing team wondrous enhancers, and then the team started winning!

Ahh the glory days!  Little did brands know Facebook was giving them a PED better than Michael Jordan’s Special Stuff in Space Jam. 

As Social Rock Stars became the one direction of the office, Facebook took the hit as their stock “plummeted.”  I even heard rumors that “Zuck” was selling his couches on Craigslist to pay for dinner.  But just as Lance was the genius behind the doping of his many Tour de France wins, Facebook had a plan—give away marketing, get brands hooked on engagement, and then slowly stop trickling the drug through the IV. 

 

What happened next … just ask any local drug dealer. 
Give away the drug, get ’em addicted, then start charging for it.  Low and behold, right around the time when massive free engagement stopped, Facebook’s stock value started going up!  I feel this really started happening around mid-November—actually after the Facebook pundits started yelling from the rooftops about EdgeRank changes.  

As we are now over a month into 2013, it will be interesting to see what happens with these two pieces of data.  All I can say is ask Lance Armstrong or Barry Bonds if PEDs are just like Pringles, “Once you pop, you can’t stop.”  Meaning these brands are going to be pulling out their pocketbooks to get back to their former glory. 

Data Note: All data presented came from Polygraph Media’s Facebook Data Analytics Engine. The 62,682 posts analyzed were from 125 large brand and company pages from Jan 1, 2012, to Jan 28, 2013.  In order to remove outliers and smooth the data, I removed 599 posts for being 3-standard deviations greater than average and opted to use a 7-day rolling average of the total likes received on all the pages. Give me a shout if you want to see some of this data and analysis first hand!

The folly of analytics and value of big data analytics

Analytics has become a hot topic over the last 12 months as middle-managers are asked tough questions by their executive stakeholders.

For all the insanity around social marketing, mobile apps, and "conversations", many CMOs, CIOs, and CFOs want to know exactly what they're getting for their money.  Budgets are growing and advertising spend is fluid.  People want to know the impact of strategy changes and tactics tweaks. But don't worry.  This pattern is not just familiar to you in your business, it's happening everywhere.

Middle managers have turned to analytics to rationalize what has happened -- to measure success and failure.  But I'd contend that some of the early analtyics offerings are doing a bit of a disservice to the very clients who rely upon them.  Charts, graphs, and data visualizations are compelling -- so they must be authoritative.

But are they really?

The one question you should ask of any analytics offering is simple:

Do I truly understand the metrics presented in this chart?
As a marketer, do I understand how to improve the metrics presented in this chart?
And finally, do I understand clearly how these metrics impact my company's ability to make more money, save money, and generate a return on investment (ROI)?

As I talk with corporate marketers about social marketing, content, and advertising measurement, I'd say that at least half the people do not understand the data presented to them by Facebook Insights.  Few, if any people, understand what Facebook's Reach and PTAT (People Talking About This) metrics really mean.  Almost none understand how those metrics should be used and interpreted.  And fewer know exactly how they'd improve upon those numbers.  The same goes for abstractions on hard metrics provided by third-party analytics providers.

The only way to get a true understanding of your performance is for your metrics to match the things you know how to do.  On Facebook, it's simple:

• Page Likes -- how many Fans do you have, and is that number growing?
• Posts -- how often do you post?
• Post Type -- how often do you post different types of content to keep your Page fresh?
• Shares -- how often are people inspired to share content with their friends?
• Comments -- how often do people comment on your Page?
• Likes -- how often do people like content that you post?
• Engagement Rate -- by time period or post, how well does your content truly perform?
• Clicks -- how do your ads and/or Page Posts generate clicks to a web site?

Facebook is the top of the funnel for many consumer marketers -- it's an awareness vehicle that can help you create a better conversion rate for other online activities.  It can also identify your top fans and people who advocate for you online and offline.

But (and I'll pick on Facebook Insights for a moment) if you're using metrics such as Reach and PTAT as religious metrics that you watch feverishly, I think you're missing the point.  You're succumbing to the folly of analytics as opposed to the data-driven answers that big data analytics can provide.

If you go to the effort of measurement, you're ahead of the game.  But you're really ahead of the game if you take a data-driven approach.  Be sure to measure the very things you know you can affect.  Otherwise, you're just guessing.