Indeed, only 22 percent of marketers believe they run data-driven marketing initiatives that are achieving significant results. And I’d bet the other 78 percent are only scraping the tip of the analytics iceberg. But there are three advanced features you can use to generate real, granular insights from your analytics.

1. Advanced Segmentation
2. Advanced Dashboards
3. Advanced Goal Tracking

If you asked a random marketer what bounce rate in Google Analytics measures, they’d probably say something like, “the percentage of people who leave after viewing only one page.”
 
This, however, isn’t totally true. It’s a simplified version of what bounce rate actually measures, and many people misunderstand this (for example, almost every blog post about bounce rate uses this definition).
 
So, what’s the actual definition of bounce rate? Google Analytic registers a bounce as a single engagement hit.
 
That means that, for instance, if a user enters a landing page and leaves, they may be recorded as a bounce. But if they enter the same landing page and hit “play” on a video that you have set up as an “interaction” event, and only after that do they leave, they won’t be counted as a bounce.

When it comes to direct traffic in Analytics, there are two deeply entrenched misconceptions.

The first is that it’s caused almost exclusively by users typing an address into their browser (or clicking on a bookmark). The second is that it’s a Bad Thing, not because it has any overt negative impact on your site’s performance, but rather because it’s somehow immune to further analysis. The prevailing attitude amongst digital marketers is that direct traffic is an unavoidable inconvenience; as a result, discussion of direct is typically limited to ways of attributing it to other channels, or side-stepping the issues associated with it.

In this article, we’ll be taking a fresh look at direct traffic in modern Google Analytics. As well as exploring the myriad ways in which referrer data can be lost, we’ll look at some tools and tactics you can start using immediately to reduce levels of direct traffic in your reports. Finally, we’ll discover how advanced analysis and segmentation can unlock the mysteries of direct traffic and shed light on what might actually be your most valuable users.

Hidden Feature #1: Sort Type: Sort Type’s best purpose is finding top growth, or drop-offs, in metrics on specific pages, devices, campaigns, sources or other dimensions.

Hidden Feature #2: Plot Rows: The best purpose for using Plot Rows is to quickly visualize time series data for selected dimensions, without filtering or exporting to a data visualization tool.

Hidden Feature #3: Term Clouds: You have probably heard of word clouds, but did you know Google Analytics has a built-in functionality called Term Clouds? This feature takes your current dimension values for a selected metrics and turns them into a word cloud.

Hidden Feature #4: Secondary Dimensions: Use Secondary Dimensions to dig into your metrics with two dimensions instead of one.  Secondary dimensions are an added layer to the primary dimension. Think of these as a way to ask one more question of the data.

Hidden Feature #5: Pivot Tables: Slicing data by two dimensions and rearranging into a new table with up to two metrics shown.

With that being said, here are 5 ways you can start to use Google Analytics like a data scientist.

1. Use Funnel Analysis
2. Use Segmentation
3. Use Real-Time Reporting
4. Use Diagnostics Tools
5. Use Predictive Analytics

1. Active Users
2. Returning Users
3. Pageviews
4. Unique Pageviews
5. Sessions
6. Bounce rate
7. Average Session Duration
8. Average Time on Page
9. Pages/Session
10. Sessions via Social Referral
11. Users Flow
12. Conversion Rate

If you are similar to most people, it’s likely you are using the default attribution model in Google Analytics, i.e. Last Interaction.
Just because it is the default option, that does not mean it’s the right one for you. In this article, we will tell you how to set up a Google Analytics attribution model and UTM parameters based on your product and the stage of your company.

While you may think your data is perfectly precise, the sad fact is that most Google analytics audit experts I’ve talked to estimate 90%+ of analytics setups are broken in some fundamental way.

There are gradations of analytics audits:

• Data integrity — is data being tracked properly or at all to our analytics tool?
• Data quality — can we approach data collection with more granularity to improve insights gathering?
• Data maturity — from a strategic approach, are we tracking things that are crucial to our business?

While this article outlined a quick and dirty checklist of sorts to conducting a Google Analytics audit, know that it’s not a formula and it’s not the same for everyone. This is a rough outline, and I picked reports that are the most easily generalizable.

As a digital marketer, odds are that you rely on digital analytics as a major part of your toolkit. With its massive adoption in the market, odds are also good that the tool you’re using is Google Analytics. But are you really getting the most out of your analytics platform? What’s more, have you outgrown it?

Join our experts from Google and Cardinal Path to discover the advanced features available within Google Analytics 360 Suite, and what this will mean for enterprise organizations as they move down the path to digital maturity.

Attend this webinar and learn:

• The people-based marketing opportunities enabled through Google Analytics 360.
• How to get beyond collection, and into activation of your data.
• Data-informed marketing for better user experiences.

If you are using the Google-backed Accelerated Mobile Pages, there appears to be an excellent chance that those AMP pages are not being tracked correctly, if you use Google Analytics.

Christian Oliveira, a technical SEO consultant, posted a long, technical explanation of the issues AMP is giving with proper tracking in Google Analytics. Malte Ubi, Google’s technical lead for the AMP project, confirmed the problems and that they have no easy solution, in tweets today.

• Enable and activate those core configurations and features
• Enabling Google integrations
• Integrate with third-party platforms & tools
• Use custom dimensions & metrics
• Segments, audiences & activation!
• Get mobile
• Bridge the online/offline divide

Google Analytics uncovers deeper insights than page views and drop-off rates. Discover what they are and how to use them – Content Marketing Institute

You can watch the entire course on Unacademy.com here:- https://goo.gl/hAJYTz With millions of businesses going online, web analytics has become a fiel

1. How do I organize my account?
2. What kind of data can I access?
3. Why should I set up goals?
4. What is a segment?
5. How can I find out more about my (not provided) keywords?

This is a PROVEN WORKING SOLUTION with filter expressions updated regularly! There are a lot of partial solutions and misinformation out there about clearing out so-called referral spam (and organic search and event spam too), so here’s the Definitive Guide to removing all of that junk! This article has been constantly updated since January 2015 and has shown over 330,000 people how to get rid of spam in Google Analytics reporting.

The process in summary, proven effective for over 24 months:

• Have a new website? Use a ‘-2’ or higher property
• Implement a Valid Hostname Filter to eliminate ghost visits
• Implement Spam Crawler Filters to eliminate the targeted spam visits
• Create a Custom Segment with these filters to use for reporting
• Turn on Google’s bot & spider filter option

All the information you need is provided below in this step-by-step guide, but you will need to update the filters as they change.

In a previous article, I shared how to implement Google Tag Manager and Universal Analytics. That’s a fairly basic starter just to get you off the ground, but Google Tag Manager is an incredibly flexible (and complex) tool that can be used for dozens of different strategies.

One of those strategies is the ability to populate Content Grouping in Universal Analytics using Google Analytics. This article is going to be a combination of problems to be aware of and a step-by-step guide in specifically implementing Content Grouping using DuracellTomi’s Google Tag Manager plugin for WordPress, Google Tag Manager and Google Analytics.

Step 1: Setting Up Google Analytics Content Grouping
Step 2: Setting Up DuracellTomi’s WordPress Plugin for Google Tag Manager
Step 3: Setting Up Google Tag Manager
Step 4: Is Google Tag Manager Actually Working?
Step 5: Setting Up Content Groupings in Google Tag Manager

Landing page optimization and split testing techniques can get extremely confident and require special tools that only CRO professionals can navigate. However Google Analytics includes their own simple split testing option in Content Experiments.

Assuming you already have the new page variations created and you’re comfortable editing your site’s code, they literally only take a few seconds to get up-and-running. And they can enable anyone in your organization to go from research to action by the end of the day.