Archive for the ‘Analytics’ Category
First there was the honorable GoalCopy plugin for Firefox, which ruled the kingdom for many (internet) years. This tool gave you the magical ability to copy goals from one profile (remember when that’s what they were called?) to another with ease. And the peasants rejoiced.
But then came v5 of Google Analytics, and with this new design the failings of the old king. GoalCopy was dethroned by it’s Chrome extension cousin, GA Copy and Paste. It was visusally appealing and worked in the new interface. And the peasants rejoiced.
GA Copy and Paste met with its untimely demise when Google Analytics rolled out changes to the Admin, including Goals configuration. The Kingdom fell into chaos, with no ability to copy goals from one View to another. Until now.
Now we have learned of a noble warrior with a true bloodline, claiming the throne. This new leader calls itself by no name, it just sits there ready to copy your goals at a moments notice, either one at a time or in bulk.
You don’t have to download it. It isn’t browser specific. It’s a new feature in Google Analytics.
You can now share your goals. (more…)
We write about Universal Analytics all the time in this blog. In fact we’ve been talking about it since October 2012, which seems like an eternity ago. That’s when Google Analytics first announced that it existed. Now, close to a year and a half later, that twinkle in the eyes of several dashingly handsome Google Analytics engineers, has become a full, non-beta, reality. April 2nd, waiting to be sure to be clear of the horrendous world that is announcing things on April 1st, Google announced that Universal Analytics was officially, truly, no holds barred, out of beta.
What do you do if you need to use Google Analytics, but you have a broken hand (or two)?
This is the problem we were faced with last year, as two of our analysts were involved in separate bicycle accidents. Using a mouse and keyboard to navigate the reports in Google Analytics proved difficult, if not impossible, with hunks of plaster covering our hands and fingers. (more…)
When comparing two time periods in Google Analytics, we are given a percentage increase or decrease. In situations where there is a dramatic difference (as is often the case for year-over-year comparisons), we can safely assume that the result is statistically significant.
For example, in the below chart, every data point (day) is lower in the second period than in the first. We can reasonably conclude that there has been an increase in visits in our month-over-month comparison.
Move over social media and search engines. Direct traffic is the next big thing.
Can’t you imagine it already? Direct Traffic Evangelist job titles and Direct Visits marketing plans will force you to revise your resume and attend new conferences.
Dibs on Direct Traffic Online Marketing Conference in 2015!
Maybe I am getting ahead of myself. Maybe the industry is not ready for a conference next spring. But a recent Mashable article got me thinking after it devalued Facebook (and search) traffic due to less average time on site than direct visits.
Don’t wait until you urgently need a new tag to discover you also need your developers. Put the right infrastructure in place and reap the full benefits of Google Tag Manager.
Google Tag Manager is so easy to use, you can start adding tags to a site as soon as the developers put up the GTM container code. To make the most of it, though, you will need your developers’ help.
Some information should not (or cannot) be hard-coded into the tags, because it depends on each visitor’s behavior on your site. What did the visitor buy? What articles did they read? What videos did they watch? What forms did they complete? I could go on (and do, below).
Your developers can pull information from the back-end of your site and make it available on the page. They can also prepare various page elements to work with Google Tag Manager’s listeners, rules, and macros. It all means smoother sailing for you when you want to add tags later.
Follow this checklist to prep your site for Google Tag Manager, and you’ll be ready for almost any tagging request. You’ll be the hero who always knows where your towel is.
No need to panic, Exclude Filters aren’t going away anytime soon! However, after reading this post you may not WANT to use Exclude Filters as frequently. There are still many valid reasons why you may need to set them up, but when possible – it might be time to eliminate them.
Just as a quick refresher, you can use the Exclude Filters in Google Analytics to block traffic data from certain sources from showing up in a particular view. Sometimes these are used to partition data into one view or another, for example, think of creating separate views for Internal or External Traffic. For these use cases, Filters work beautifully. You can filter based off of IP Address, Hostname, Service Provider, etc…
But then there are those occasions where you want to block out traffic completely. Just as easily, you can set up an Exclude filter for each of your views, and poof! The data has disappeared! Except, it hasn’t really.
“We don’t do ecommerce, we just have a lead generation form.”
Google Analytics last fall shot some video talking about Universal Analytics that featured Dan Wilkerson and myself here at LunaMetrics. At one part of the video I talk briefly about Georges Seurat’s painting ‘Sunday Afternoon on the Island of La Grande Jatte’.
URLs are often one of the most problematic labels for data in web analytics: they’re messy, full of inconsistency, gunked up with a bunch of query parameters that may or may not be useful to you. It tends to make analyzing your content a mess.
Here, sort this stack of needles.
There are a number of suggestions for cleaning up those URLs (more…)
Not All Bounces are Created Equal
Interaction Events and Bounce Rate
The great customizability of Google Analytics implementations can at times be a double-edged sword. We are living in the golden age of analytics and we of course we want to collect as much metadata associated with our traffic as possible. The caveat is that, with each added layer of complexity to our GA tracking, we must ensure consistency across our website. We must be especially careful that our KPIs are comparable for cross-sectional and longitudinal analysis. (more…)