The standard Report in Google Analytic’s is good…for the beginner. But as you delve deeper into the analytics for your business there is a treasure trove of information and insights that you can use to impress your Marketing Manager.

But, if you are a relative novice at GA and unless you go on a training course navigating round GA can take time.

I’ve pulled together some examples of custom reporting that will give you insights beyond the standard. And hopefully give you actionable data to implement in your business.

To start things off log into your Google analytics account and click on the links provided.

Do you have a mobile site?

This report will help you understand the answer to that question. Most likely the answer will be yes. If more than 20% of your traffic is coming from a mobile device then you should investigate further. Be clear there is a difference between a mobile site and an app.

Click here for GA Mobile Report

Time of day with ecommerce

It’s really easy to over-generalise metrics and what I have found is that what applies for one business might not apply for others. The safest way to progress is to understand your own business. The time of day report looks at when customers come to your site. Well worth understanding if your customers are visiting at the weekend or during the working week.

Click here for GA Time of Day Report

Keywords Analysis

This is a fairly straight-forward In this report you will find popular keywords, excluding ‘(not provided)’.

Click here for GA Keyword Analysis Report

(Not provided)

If you have not noticed the affects of not provided then you have not looked at your Analytics metrics in quite some time. Google has now started to encrypt some of the referring data to everyone’s website. Some websites are feeling the pain more than others. However, this little report doesn’t uncover the data, it helps you track the affects of it.

Click here for GA (not provided) Report

Time of Day report

We have already looked at the time of day report. Here you can now see the day of the week that customers are looking at your site. 0= Sunday, 1=Monday, etc, etc. You can now use this data to influence scheduling for emails and your social campaigns.