Archive for the ‘Google Tag Manager’ Category
As we look towards the end of this year and the beginning of 2015, consider how a training in Google Analytics, Google AdWords, or Google Tag Manager may help your career! Choose from seven different cities in the first quarter, ranging from Boston to San Francisco, with stops in Chicago and Denver along the way.
With trainings in cities around the country, we hope you can find a location that is easy to travel to and fun to explore!
Whether you’re just starting out in a new field or looking to get a deeper understandable of the tools you’re currently using, we have a class for you.
Learn how to better collect and analyze your data with our Google Analytics series, futureproof your website with the flexible Google Tag Manager, or drive qualified traffic to your site through paid search with our Google AdWords trainings.
Choose an option below to learn more about the specific topics we cover and decide which trainings would be right for you!
Google Analytics Google AdWords Google Tag Manager
As analysts and marketers, we always want to track positive performance metrics and conversions in Google Analytics. However, tracking errors is also important to monitor the health of your site and keep track of signals indicating a negative user experience.
Accessing this data gives us a better idea of what’s causing users to get lost and wander into the dark, unattached voids of your domain. Knowing where these problem spots are makes it easier to fix internal links or set redirects.
I’ll show you different ways to view where people are hitting these error pages and where they are coming from, either through your existing setup or by using Google Tag Manager to fire events or virtual pageviews. (more…)
It’s now easier than ever to track and compare performance between articles and blogs. While Google Analytics shows you pageviews and other key metrics, frequent content comparisons are made difficult by the shifting time frames.
How can I compare a blog post that was published this month vs. a blog post that was posted last month? Sure, we can run two different reports, pull it into Excel and start crunching the numbers, but there’s gotta be a better way!
Enter Cohort Analysis. You may have heard this term thrown around before, usually in relation to users on your site and when they first became users. The idea here is to group users or sessions into common groups, like who first visited in January or first-month visitors. Avinash and Justin Cutroni both love cohorts, so obviously we should, too!
In this case, we’re going to use Google Tag Manager to put content into cohorts so we can analyze how they performed in similar time frames. We’ll pass these into Google Analytics as Custom Dimensions so they’re available for analysis. It’s actually much easier than it sounds! (more…)
A great new feature, Tag Firing Priority was rolled out inside of Google Tag Manager around July 1 along with the updated and redesigned debug mode. It is seemingly a small feature, located under the ‘Advanced Settings’ in the Tag (see below).
It’s an exciting update not only because of the application of setting priority, but also because it proves the direction Tag Manager has been heading – toward giving marketers and analysts more comprehensive control over the Tags they load on their site. Without any extra coding on the site, users can now control the firing priority of their Tags within Google Tag Manager’s interface.
Priority affects Tags that have the same firing Rule and is especially relevant for sites that have many Tags and third-party scripts like DoubleClick, Bounce Exchange, and search conversions that fire when the page loads. Tags marked with a higher priority are fired first, followed by lower priority Tags.
Often overlooked, Internal Site Search’s importance shouldn’t be underestimated. Recently, as I was exploring our company’s website, I noticed that our internal search results weren’t as helpful as I anticipated.
I conducted a search on our site for “google analytics”, a term very significant to us at LunaMetrics. I was shocked to see that all the top listed results were blog posts.
While blogging is important to us, it’s also important for our visitors to know that we offer trainings around the country and Google Analytics services to clients. All the relative content we had created through our blog was coming back and actually overpowering our other results, hardly an ideal situation.
We, as marketers, do a lot to get people to our site. From search engine marketing to analysis of internal analytics, we make it a top priority to ensure our website is extremely visible across all channels of the internet. Why then does it seem that we tend to slack when it comes to internal search results of our own site?
Not being able to quickly see our Google Analytics trainings after my query was a definite problem. If you’re in a similar position, here’s how I sought out to address it. (more…)
By far the most common issue I’ve come across with ecommerce sites; duplicate transactions can inflate revenue and ecommerce metrics, altering your attribution reports and making you question your data integrity.
When talking about where to put the ecommerce tracking code, Google suggests the following for Universal Analytics:
… If successful, the server redirects the user to a “Thank You” or receipt page with transaction details and a receipt of the purchase. You can use the analytics.js library to send the ecommerce data from the “Thank You” page to Google Analytics.”
The missing step here is to ensure that either A) the user cannot access the page more than once or B) you have logic in place to make sure the transaction is only sent once. The biggest issues I’ve seen are when this receipt page is automatically emailed to the customer, with the ability for them to return as frequently as they please, each time sending a duplicate transaction.
Do you want to track your press releases or distributed content (widgets, infographics, embedded content, etc.)? I’m going to show you a much better way to do that with campaign tracking in Google Analytics.
I was recently asked a question by an attendee to our Google Analytics training in Los Angeles about using campaign tracking in Google Analytics:
We distribute press releases that get distributed and posted on various websites. I want to be able to track any traffic generated by those pickups as part of a campaign, but also know from which sites the traffic is coming. What happens is I simply leave utm_source out?
For this post, we wanted to take a step back and describe the Universal Analytics upgrade process in very simple terms. What is it, and why should you care? If your company is struggling with any of these common questions, feel free to download this one-pager and share with your company to help understand the benefits of upgrading to Universal Analytics!
Read on for more information and the full text of the one-pager! (more…)
Google Analytics Events + GTM Lookup Tables = Super Groovy Goal Values!
Here’s a familiar refrain: Need KPIs? Assign goal values to your non-ecommerce goals in Google Analytics – for example, calculate the average value of a lead and enter that as the goal value.
And a less-familiar verse: Should you settle for the average value? Not if the actual values vary widely. Distributions matter!
Suppose you have one lead form for many types of leads. The user might request info about option A, a potential sale worth nearly twice as much as option B, and five times as much as option C. And what about options D, E, F, and so on?
New verse: You don’t have to give them all the same goal value. And you don’t have to create multiple goals to give them each a different value.
Send different event values to Google Analytics for each type of lead with a lookup table in Google Tag Manager. And then set the event value as the goal value in the Google Analytics interface.
You say your goal is based on the thank-you page URL and not an event? No problem. Fire an event when the user reaches the thank-you page and use that event to define the goal instead.
Follow these four steps to add more meaningful values and make your goal data rock.
While LunaMetrics.com is known best for our blog content, the vast majority of our time goes towards helping clients with Google Analytics implementation. Our clients often come to us with some form of existing Google Analytics, and it’s our job to sift through the data to make sure everything is being collected correctly. For a website with eCommerce, this involves comparing data from GA to a back-end sales system to make sure everything matches. We’ve found many strange and buggy scenarios, but one in particular stands out as a particularly difficult challenge.
In the scenario below, a client’s website appended an internal key as a query parameter to transaction pages to help with their processing. These keys were huge and the page URLs would sometimes hit 1400 or 1500 characters. When a hit gets sent to Google Analytics, all of the details about the page and the visitor are combined together into one long image request which gets sent to their server. However, Internet Explorer, and more specifically, Internet Explorer 9, imposes a cap on the length of these requests. Because the page URLs were so long, some hits to Google were just failing at the browser level and never made their way to GA.
Continue reading for a “chart review” of how we diagnosed the issue, and then further on for steps on how to fix this for yourself!