Introduction to Google Analytics Troubleshooter Tools

Google provides a set of tools which can help you greatly in analyzing and debugging Google Analytics data.

Google call these tools as troubleshooters.

They are basically interactive web pages which respond to users’ actions. These users’ actions can be selecting a particular issue and/or answering ‘yes’ or ‘no’ to questions.

Google has created these troubleshooters around certain analytics topics. So they are topic specific and can help you in fixing an issue only around that topic.

When you use a troubleshooter, Google ask you series of questions and then based on your answers, suggest you, what data to look at and where, in a GA report and how to resolve a particular issue.

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For example, Google has got one troubleshooter which helps in identifying and resolving issues with traffic fluctuations in your GA reports.

So say if you see a spike in traffic from a particular date, you can use this tool to understand the cause of the spike.

Follow the steps below to use this tool:

Step-1: Navigate to Traffic fluctuations/inconsistencies troubleshooter tool:

Step-2: Select the issue ‘I see a spike in traffic starting from a particular date’:

Google will now ask you following question:

In the Acquisition > Source/Medium report, is there a single source/medium responsible for the spike?

Step-3: Navigate to ‘Source/Medium’ report in your GA view and check whether a single or multiple traffic sources are responsible for the traffic spike.

Step-4: Depending upon your analysis, answer ‘yes’ or ‘no’ to the question.

Let us suppose that a single source/medium is responsible for traffic spike and so you answered ‘yes’ to the question. As soon as you clicked on the ‘yes’ button, Google will ask another question:

Do you see a simultaneous drop in traffic from another source/medium?

Step-5: Depending upon your analysis, answer ‘yes’ or ‘no’ to the question. Let us suppose that you did not see a simultaneous drop in traffic from another source/medium. So you clicked on the ‘No’ button.

As soon as you click on the ‘No’ button, Google will give you a recommendation about what to do next:

Use the Behavior > Landing Pages report to examine the period before and after the spike for the source/medium that caused the spike.

If there is a particular page that drives the traffic, check whether that page had been specifically promoted during the spike.

If traffic is evenly distributed, the spike was most likely driven by user behavior or changes in outside factors (e.g., improvement in organic ranking, user-driven promotion of the site on social channels, etc.).

Such recommendations are invaluable to countless marketers/business owners who do not understand, how to drill down GA reports, in order to find the answer they are looking for.

Even if you are a seasoned analyst, these recommendations may give you new areas to explore.

Restarting the Google Analytics Troubleshooter

Let us suppose you want to restart the ‘Traffic fluctuations/inconsistencies troubleshooter tool’.

To do that just click on the issue you selected earlier:

Then select another issue you want to diagnose:

As soon as you select a new issue, the troubleshooter will reset and restart:

Similarly, if you want to change your answer to a certain question, you can do that by clicking on that question:

Once you click on the question, you get the option to change your answer:

Other Google Analytics Troubleshooters

Following is a list of other troubleshooters from Google:

#1 Troubleshooter for (not set) data in your reportsUse this tool to identify and solve issues related to (not set) data in your GA reports.

#2 Troubleshoot Google Ads clicks vs. Analytics sessions – Use this tool to identify and fix data discrepancies between Google Adwords and Google Analytics.

#3 Troubleshoot tag setup and no-data issues – Use this tool to fix issues related to installing Google Analytics tracking code.

#4 Troubleshooter for Ecommerce tracking and reporting – Use this tool to identify and fix issues related to standard ecommerce tracking and enhanced ecommerce tracking.

#5 Troubleshooter for Goal conversions – Use this tool to identify and fix issues related to Goal conversions set up in GA.

#6 Troubleshooter for discrepancies in Goals, Transactions, and Google Ads conversions – Use this tool to identify and fix data discrepancies between goals, transactions, and Google Ads conversions in Google Analytics and Google Ads.

#7 Troubleshooter for Google Ads and Google Analytics linking – Use this tool to identify and fix issues related to linking your Google Ads and Google Analytics accounts.

#8 Troubleshooter for Multi-Channel Funnels reporting –  Use this tool to identify and fix issues related to Multi channel funnel reports and attribution modelling.

 

Do you know the difference between Digital Analytics and Google Analytics?


99.99% of course creators themselves don’t know the difference between Digital analytics, Google Analytics (GA) and Google Tag Manager (GTM).

So they are teaching GA and GTM in the name of teaching Digital analytics.

They just copy each other. Monkey see, monkey do.

But Digital analytics is not about GA, GTM.

It is about analyzing and interpreting data, setting up goals, strategies and KPIs.

It’s about creating strategic roadmap for your business.


Digital Analytics is the core skill. Google Analytics is just a tool used to implement ‘Digital Analytics’.

You can also implement ‘Digital analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.

Using Google Analytics without the good understanding of ‘Digital analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.

You are either likely to end up somewhere other than your destination or you get involved in an accident.


You learn data analysis and interpretation from Digital analytics and not from Google Analytics.

The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.

You get that direction from ‘Digital analytics’ and not from ‘Google Analytics’.


You learn to set up KPIs, strategies and measurement framework for your business from ‘Digital analytics’ and not from ‘Google Analytics’.

So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Digital analytics’. You are not learning the ‘Digital analytics’ itself.

Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.

You need to know lot more than GA in order to work in digital analytics and marketing field.


So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.

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1) The number 1 reason why most marketers and business owners are not able to scale their advertising and maximise sales.

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3) The number 1 reason why conversion optimization is not working for your business.

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5) How to learn and master digital analytics in record time.

 
 

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Master the Essentials of Email Marketing Analytics
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Himanshu Sharma

Digital Marketing Consultant and Founder of Optimizesmart.com

Himanshu helps business owners and marketing professionals in generating more sales and ROI by fixing their website tracking issues, helping them understand their true customers purchase journey and helping them determine the most effective marketing channels for investment.

He has over 12 years experience in digital analytics and digital marketing.

He was nominated for the Digital Analytics Association's Awards for Excellence.

The Digital Analytics Association is a world renowned not-for-profit association which helps organisations overcome the challenges of data acquisition and application.

He is the author of four best-selling books on analytics and conversion optimization:

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