2 Classic Ways Your Analytics Are Lying to You

By Brad Smith

You have potential

Analytics are supposed to be insightful. They’re supposed to provide helpful hints and clues to what’s working well (and how to continue doing it).

They’re not supposed to induce an aneurysm every time you’re asked for monthly numbers.

For example, take a quick look at the sources sending you traffic. Chances are, the biggest slice is from search engines (both paid and organic traffic). Cool – you can dive deep into the pages receiving the most visits and start reverse-engineering ways to improve.

Another slice includes your referring websites. Great – now you can figure out why they’re referring you and come up with ideas to have them refer you more or identify new sites to do the same.

So far so good. Two (relatively) transparent, easy-to-understand channels that are inspiring new tactics.

Then there’s direct – the other 20-40% of your traffic. And that’s where all of your problems begin.

Analytics Lie #1. Channel Problems

Direct traffic is simply all the people typing your website URL into the browser…right?

direct traffic problems

Unfortunately, it’s not that simple.

Direct traffic is more like your junk drawer at home. Sure, there’s probably some important stuff that belongs in there. But more often than not, most of that stuff should be organized somewhere else.

analytics junk

Big junk drawer

For example, let’s say you send out a tweet or new email campaign with a link. That content is going to be viewed in a variety of ways, in a variety of applications.

Desktop clients can be especially problematic, often removing most of the important info your analytics packages need to track where that visit came from. So visits from Tweetdeck (is that a thing still?) and Outlook will be thrown under Direct (instead of the more appropriate Social or Email).

The second problem is the vast migration to HTTPS. Secure search is a good thing, adding an additional security layer like encryption and attempting to enforce more privacy in what goes on. However, it commonly causes many of the same issues, where referring data gets lost (or stripped) and your Direct traffic gets overstated, while Social and Email get understated (making you think those channels didn’t perform as well as they should have).

Don’t just take my word for it here.

Groupon did an experiment to discover how much of their traffic was being incorrectly labeled as Direct.

So they started where most rational people would – by completely de-indexing their website from Google for a day. (JK – never do this unless working with a professional.)

To be fair, they didn’t include pages that are commonly reached through direct traffic like their homepage or top-level pages like Groupon Getaways (because those do actually get a fair amount of people typing them in).

Instead, they focused specifically on the long-tail stuff that nobody (in their right mind) would ever remember and type in (think: Restaurants in San Francisco on Groupon).

Here’s a snapshot of the hours 13:00-16:00 (which I literally have to count on my fingers what time is it because I’m an ignorant American), showing that “SEO” traffic drops to almost zero while “Direct” traffic actually falls 60%.

direct traffic is really organic

The TL;DR findings?

“Our testing shows that, for a site getting in the ballpark of 50% mobile web traffic, 60% of the traffic to long URLs reported as Direct is probably Organic traffic from Google.”

How to Fix It

Soooooo…now what?

You’re probably already familiar with UTM codes. Google URL builder, blah blah blah. I’ll save you another lecture. But just knowing about them isn’t enough, you need to consistently execute on them.

There’s this concept I like to steal borrow from Oli at Unbounce loosely called inbound traffic segmentation. The idea is to create unique paths for all major traffic channels to get a better handle of which channels are driving or generating what.

Here’s a pretty picture they created that probably makes more sense.

segmenting traffic sources

So you might take one landing page, create multiple versions of it for each channel (making sure to of course deindex or nofollow those duplicate ones), and help you pinpoint the good from the bad.

To get everyone on the same page, I like using a simple collaborative Google Doc, outlining all the landing pages, their traffic source or channel, the UTM tracking and who’s gonna own it.

traffic segmentation for analytics

This is incredibly time consuming. It’s borderline overkill. But it gives you a foundation or starting point to tracking true campaign or channel performance for not just leads, but also buyers, subscribers and clients (as we’ll dive into later).

The next step is to set-up your various content pieces, ads or CTA’s that are going to drive traffic to these new landing pages.

If you sit down and create a lot of this stuff at one time, you can save yourselves a lot of time and hassle later, because everything will be strategically aligned and tracked properly.

More spreadsheet time.

segmenting traffic channels in analytics

You can identify the specific action or objective for each individual piece of content posted to a social network, as well as pre-identify the tracking token you want connected to each.

You’re not reading a frilly, silly social blog though. This is a paid one, damnit. So here’s an example of a similar approach.

analytics adwords

Again – you’ve got the ad, the destination URL, and the tracking token. All pre-planned and ready for whomever is going to edit and push to each platform.

These (lengthy, time-consuming) steps help a lot.

Unfortunately, they just scratch the surface of solving your analytics problems though.

Because while you can now gain better insight into what marketing activities are doing for each channel, being able to properly attribute goals and conversions is another nightmare.

Analytics Lie #2. Attribution Problems

Google Analytics (and most basic analytics platforms) will tell you which channel people converted from.


That means, you’ll commonly see things like Organic or Paid as your top driver of conversions. Makes …read more

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