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2014 Year-End Marketing Blog Statistics: How’d We Do?

Each year I try and look back at my statistics and give you some insight into what’s changed, what worked, and what I want to improve in the coming year. This year I am at least asking the question about the differences between what Google Analytics says and what popular blogging stats program Count-per-Day says. I’m guessing CPD uses database calls for measurement while Google uses cookies. According to the CPD site the main difference is how Google reports. Since Google only wants to PAY (adwords) according to “real” views it filters a ton of page views. If we’re to believe the difference, it’s on a magnitude of 10X. Before we get into that, let’s look at the stats.

Y-O-Y it appears things are about the same. Last year I had two major hits and this year I had to minor hits and a long-burn to close out 2014.

uber-2014-total

Screen Shot 2014-12-21 at 10.31.23 AMAnd from the over all traffic stats can you guess what the top three drivers are? Well, let me put this more simply, after DIRECT and SEARCH, can you guess what the top driver was to my site?

Did you answer Twitter?

Here are my incoming referral stats for 2014.

Screen Shot 2014-12-21 at 11.18.05 AMA few pieces that surprised me.

  1. Feedburner (RSS and RSS to email) accounted for 1.6% of my traffic. And I was just thinking RSS was dead.
  2. Google+ is still struggling along, right at par with Bing.
  3. StumbleUpon is still showing up, even though their stats took a tumble in the last half of the year.
  4. Even after I started my LinkedIn publishing blitz, it still remained under 2% of my inbound traffic.
  5. At 43% Google Organic is the king. (Think SEO and long-tail content.)

 

And on the content side let’s see what kept us in the green this year.

Screen Shot 2014-12-21 at 12.18.05 PM

The little post that popped up out of the *blue* to become a long-burn hit is my “how to change your red itunes icon back to blue” post. Who knew something so tweaky would be a winner? Seems like a lot of people were irritated by the red icon.

Screen Shot 2014-12-21 at 12.11.33 PM

And while I cannot attribute any leads to my lead form that I installed in November, I can report that at least two pieces of business were a direct result of visitors to my site. Both found my content on LinkedIn. Still, my understanding is for what I do (consulting businesses and agencies in content and social marketing) referrals are the law of the land. I believe my work here on uber.la is more of a proof that I know what I’m doing and a demonstration of my commitment to doing it.

Finally we have the tale of two analytics packages. Google Analytics and Count-per-Day. They have very different stories to tell about 2014.

First GA says Uber.la topped out at 36k reads this year. (blue = visits, red = page views)

ga-uber

While Count-per-Day multiplies that by 10, to 369k reads this year. (blue = visits, red = page views)

countperday

Seems like Count Per Day tally’s up bots and search engine traffic as well as real users. This would explain the 10X variance. When I tweet about a new post I often get 30 new readers in the first few minutes. 20% of those readers are spiders and bots. They will often crawl the entire site again, registering page views all along the way.

Hmmm. Seems like I need to find a better stat tool to display current traffic.

Let me know what I missed, if you see something I need to report on. Otherwise, have a great 2015, and let me know if I can help you and your business in any way.

See this data as a single slide on Slideshare.net: Uber 2014 Marketing Stats

John McElhenney
@jmacofearth (also seen on Google+: jmacofearth)
permalink: http://uber.la/2014/12/2014-year-end-stats/

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