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Archive for the ‘Analytics’ Category

Outgrowing Your Goals in Google Analytics

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Old Goals

In the beginning, you launched your business’s website complete with Google Analytics (GA) tracking code. You wanted to do everything right, so you followed best practices and spontaneously created a few goals in GA.

A soccer player celebrating a goalAt the time, life was simple and you were thrilled if someone viewed a product detail page on your site. So thrilled in fact that you called it a GOALLLL!

Times were different then, and so was your website. Let’s jump ahead 5 years. Now you’re getting 5 or 10 times more traffic per month, hypothetically. Your goals in GA, however, haven’t changed since day one.

Are you still measuring the success of your website effectively? (more…)

Making Google Tag Manager Work Together with On-Page Tracking

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Transitioning to Google Tag Manager, but still have a lot of hard-coded tracking on your website? Many of our clients find themselves in this very situation.

Or you may have the opposite problem, where you’ve been tracking pageviews through code on your site, and now you want to add PDF tracking through GTM.

With the robust and customizable applications of GTM, it is clear why so many companies make the switch; but if your website already contains a large amount of hard-coded tracking, such as event tracking or custom dimensions/variables, recreating those new tags in GTM might take some time – leaving your website in a limbo of utilizing both GTM and on-page scripts.

This is okay, and for many, a necessary step in the process of completely transitioning to GTM. It is crucial, however, to understand the impact and functionality of GTM tracker names in order to continue to receive quality data during this period. (more…)

Google Analytics Data Import: 17 Ways to Revolutionize Your Reports

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Have you ever looked at the available dimensions and metrics in your Google Analytics reports and wished you could make up your own? You may have data about products, content, or users that isn’t part of any tracked session, which could bring new insight to your reporting and analysis of those sessions.

With Google Analytics Data Import, you can unify your online and offline data and revolutionize your reports.

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How To Fix Common Google Analytics Notifications

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Google Analytics constantly checks your data to search for common configuration problems. When it finds something wrong, a notification appears inside the UI that looks like this:

alert-example

At first, these notifications can be unsettling or feel a bit vague. Here is a quick guide to a few of the common notifications in the interface along with how to troubleshoot them.
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LunaMetrics Top 10 Blog Posts from 2014

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A new year brings new opportunities, new chances for self-improvement, and inevitably, reflection on the previous year. I’ve pulled out some of our most trafficked and most popular blog posts from the past year and listed them below.

It’s no coincidence that the categories of the posts are reflective of LunaMetrics as a company. There are entries from our main focuses on Google Analytics, Google Tag Manager, and the broad world of Search.

There are simple explanations of complicated topics, new ideas to ponder, and ways to make your life easier. As 2015 gets underway, you can expect more great content from our expert LunaMetricians. (more…)

Attribution and Google Analytics

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Log in to Google Analytics and have a look at the Acquisition reports, and you’ll find all kinds of data on how people get to your site. Ever wonder where that comes from, and how GA decides what the source, medium, or campaign values are? Wonder no more, because here we’ll de-mystify the rules.

The Source/Medium Rules

The basic dimensions that GA uses to describe where someone comes from are Medium and Source (along with Campaign, Keyword, and Ad Content where circumstances warrant). GA fills these in based on different sources of information, and there’s a specific order in which Google Analytics looks for this information: (more…)

Best Practices to Avoid Dark Social

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The rise in unattributed, or ‘direct’, traffic is a growing problem in the web analytics world and social media may be a big part of the problem.

Dark social was a term first used by The Atlantic to describe social visits to their site that were misattributed. Even though these users theoretically came from social media platforms, they were grouped in with ‘direct’ traffic.

When a link is opened from inside a mobile app or from some web applications, it can be difficult to determine how the user got to the site. The main social media giants Facebook and Twitter have taken some steps to help this problem, but social traffic is a long way from being 100% accurate. (more…)

Extracting Schema & Metadata With Google Tag Manager

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If you’re evaluating the performance of your site content, it can help tremendously to segment that content into a variety of cohorts. Unfortunately, many website owners have trouble getting enough information about their content into Google Analytics to help them with their analysis.

Some information may already be available on your website, like information about your page or extra information that gives context to the page.

Ultimately we want to bring these additional dimensions about your content into Google Analytics to help with your analysis. One way to do this is by leveraging Schema and Google Tag Manager.

What’s Schema

If you’re still unaware of Schema, it’s a way of marking up your content so that it is recognized by Google and other search providers. This helps search engines to better understand your content, and hopefully deliver it in a more relevant way to people searching on their systems.

Ultimately, it’s about driving more organic visitors to your website. (more…)

Form Engagement Tracking with Google Tag Manager

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Do you know how people are completing forms on your site? Are there certain fields that get skipped frequently or that cause users to drop off?

Almost two years ago, I wrote a post showing how to use a simple script to track form abandonment in Google Analytics with event tracking. I’ve gotten a lot of great user feedback (and requests) about that script, and wanted to share an updated version that is a little more elegant.

This new version more effectively handles fields that are completed or skipped. I’ve also modified this script and included instructions for how to add it to your site through Google Tag Manager.

Use this script to see which fields get the most completions, but also use it to compare to the amount of forms that get submitted successfully. If you find that people are starting to complete the form but failing to submit it, you may need to look into ways to improve the user experience.
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Bringing Google Analytics Data into Google Sheets

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If you’re reading our blog, the chances are pretty favorable that you’ve used Google Analytics at some point. Maybe you’ve used it to check on basic metrics like overall pageviews and sessions from time to time, or maybe you’ve performed more in-depth reporting with filters, advanced segments and custom dimensions.

You’ve clicked, scrolled and explored using the date range calendar, the left navigation menu and the tables and graphs showing your data. All of this within the Google Analytics interface, because that’s where the data lives and that’s where the data stays. Right?

Not so! In this post, I’ll introduce you to a really easy method (seriously) to make automated reports completely within Google Sheets using the Google Analytics add-on. If you’ve ever caught yourself manually typing numbers into spreadsheet cells for web reporting, this is one solution to automatically get the numbers you need into your reports.

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