The Good, Bad & Ugly of Google Analytics
Emfluence has a great post right now for all of you that are new to Google Analytics. It shows you how no matter what your position is at a company, having the analytics data is just as important to you as it would be for your analytics team. It covers some really good things that you can get out of Google Analytics, some of the bad (but still needed), and the ugly (but very powerful once you begin digging more in depth). Google Analytics can seem a bit overwhelming once you start figuring out all of the things you can do with it. But it is a very helpful, needed, and free tool that everyone should be taking advantage of.
Bounce Rate Demystified
KISSmetrics has supplied an infographic to give you all of the answers you might have (or haven’t even thought of) about Bounce Rates. It breaks down how the Bounce Rate (BR) is calculated, the average BR in the industry, how to improve your overall BR, factors that affect your BR, and gives you tips on how to improve it. Read the whole KISSmetrics Bounce Rate Blog here.
6 Digital Metrics You Should Be Watching
Of the hundreds of metrics that are out there that most people don’t even think about paying attention to, ClickZ covers 6 of these metrics and point out why you should be watching them. Are you closely watching what pages your visitors are leaving your site on? And if a page accounts for more than 5% of your exit links are you doing something about that page? How about following the engagement one of your tweets might have and how often your tweets are being favorited or retweeted? Find out the exact 6 metrics ClickZ chose to point out and why you should be watching them.
Customer Data Strategies for Marketers
This next one is for all of you marketers out there. This Adobe blog discusses not only how far marketers have come and the way marketers are now able to gather their data and break it up into smaller acquisition funnels. But it also shows the way that marketers should separate their customer data into two categories and how to understand the relationship between the two. Read the whole Adobe blog here.
The Future of Analytics Is Prescriptive, Not Predictive
While most companies use a predictive analytics process, there are the few companies already using prescriptive… which is the future of analytics. The ClickZ article uses a great example to explain the difference between the two:
“Let’s use a GPS navigation system to explain the difference. The descriptive analytics tell us which way to go, while the device’s predictive analytics tell us when we are likely to get there. If our GPS has prescriptive analytical capabilities, it will monitor that forecast in real time against my objective, which is usually to get somewhere as quickly as possible. If, on the basis of the feedback, it finds that another solution will be better, it will recommend that I change my current route and take a different route instead. It tells me what I should do.”
With the future of analytics being prescriptive, I think it is very important to learn the difference between the two and start practicing both in our analytics.