August 17, 2016
R is a relatively easy language to use when performing statistical and graphical analyses on data. However, after choosing your dataset, you may still need to subset it. Luckily, R’s built-in functionality can be especially helpful in getting the sections of data you need. Since Becky gave us a great introduction to querying Google Analytics […]
August 10, 2016
July 5, 2016
I just got back from the International Conference on Machine Learning (ICML) in New York City. For five days, machine learning researchers and practitioners presented and discussed the latest trends and cutting edge algorithms in the field. I was really excited to use my yearly professional development opportunity to attend this conference. At LunaMetrics, we […]
June 30, 2016
Data empowers us to better understand our users and their behaviors, while methods provide us with the means for analysis. These methods, ranging anywhere from simplistic (i.e. frequency) to complex (i.e. clustering), allow us to choose what we want to understand from the data. A popular way to understand our users and their behaviors in […]
June 23, 2016
Google Analytics (via reports or the API) typically deals with aggregated data, where metrics are already summed and averaged for you, and you can easily request a tabular report of (say) Sessions by Date. On the other hand, the Google Analytics BigQuery Export Schema contains a wealth of raw data. While the raw data opens […]
June 2, 2016
R is a statistical tool that can enrich you website data analysis. Unfortunately, R has a steep learning curve and can be intimidating to a first time user. However, the payoff is worth the effort. In this post I will help you get started by demonstrating some of the most useful R commands. First, you […]
May 31, 2016
The User ID features of Google Analytics help address several challenges: Measuring users who switch devices, browsers, or apps as they interact over time. Capturing identifiers for users to match with data about the same users in other systems. These can be really valuable, and if you’re new to the idea of user ID in […]
May 12, 2016
Google’s BigQuery offers unprecedented access to Google Analytics data for Google Analytics 360 (Premium) customers. With great data comes great challenges, especially when you start attempting complicated calculations beyond the traditional metrics in Google Analytics. There are many ways to write queries in Google’s BigQuery, each has its strengths and weakness. Some of the basics of writing queries were covered in a previous post, but now we’re going to look at three different approaches to writing complex queries.
April 21, 2016
Google Analytics (GA) is a great tool for collecting and analyzing web site data, but it’s not without its limitations. If you need to run more advanced analyses, you probably find yourself pulling the data out of GA and putting it into other complementary tools, such as R, Tableau, Shufflepoint (and more!). Today’s focus will be on CausalImpact, an open-source package in R developed by the data gurus themselves (Google).
April 14, 2016
Enhanced Ecommerce in GA is great because it gives detail about how users interact with products. It has a wealth of reports about where users saw products, whether they viewed the product detail page, added the product to their cart, and ultimately made a purchase. Let’s take a look at how to get this information!