Google Analytics

  • New vs New Advanced Segmentation

    Those of us familiar with analytics understand the importance of segmenting our data for valuable insights. If you aren’t segmenting your data, you should be. Avinash Kaushik put it well when he said “Segment or die. It is as simple as that.” In this blog, we will look at providing a helpful way to analyze your users’ first visits to produce actionable insights. Through this segmentation, we will learn valuable information regarding user behaviors. Such as: the likelihood of a user to be loyal visitors later in their customer journey. New vs New? Google Analytics comes ...

    Posted at March 26, 2015 | By : | Categories : Google Analytics | 8 Comments
  • How to Extend Google Analytics with API (Part 2) + GTM API

    In part 1 of the series we've covered the basic structure of Google Analytics platform and discussed many possibilities that collection and configuration API have to offer. In part 2 we'll continue with the Google Analytics' Reporting APIs and as an extra  explore some of the capabilities of Google Tag Manager API. Accessing Processed Data with Reporting APIs Reporting API offers access to Google Analytics' processed data. Using this API you can dig deeper into and discover more data than by accessing the web interface. There are 5 APIs that relate to the ...

    Posted at March 4, 2015 | By : | Categories : Google Analytics,Universal Analytics | 0 Comment
  • How to Extend Google Analytics with API (Part 1)

    In this 2 part series I will introduce the range and possibilities of Google Analytics and Google Tag Manager API. Taking advantage of these interfaces can have a big impact on your analytics processes (eliminate errors, speed up the process, helps with consistency) and provide additional information about what's happening in your analytics properties. Learning the API is time well spent, ...

    Posted at February 26, 2015 | By : | Categories : Google Analytics,Universal Analytics | 0 Comment
  • Google Analytics: Related Products Feature

    The Google Analytics Related Product feature is an extremely valuable set of dimensions and metrics that can highly benefit your product bundling, remarketing, email campaigns, product recommendation and more. The core of the feature is correlation score, a metric that sets a value of association between two products based on their transaction data. Correlation score takes values from 0 (lowest correlation) to 1 (highest correlation). One important thing to note is that  the metric is directed. That means that product B may be associated to product A differently than A is associated to B. Example: our clients buy ketchup in 80% of cases when they buy ...

    Posted at February 13, 2015 | By : | Categories : Google Analytics | 1 Comment
  • Analytics per Capita – Correlations, Revenues, States (R)

    In this post I'll show you how to connect your Google Analytics data with an outside source of data in R and perform some basic data analysis. We will focus on identifying US states based on their per capita value for our website or application. Motivation We are interested in performing an analysis of sessions (visits) and sales per US state. We want to know how interested people are in our brand and how much they're spending depending on the state or region. Google Analytics offers a great report to overview visits and sales based on geographical location.  You may find that report ...

    Posted at February 5, 2015 | By : | Categories : Data Science,Google Analytics | 0 Comment
  • How to Use Google Analytics Minute Dimension (Visualizations in R)

    Google Analytics' web interface offers a great way to manipulate our data. But if we want to take it a step further and deeper we need to look at tools like the Google Analytics Reporting API and R. In this article I will introduce the minute (time) dimension and its usability. There are many uses for it and it is important that we understand how it works and how to acquire the right data to build our analysis on. What Is a Dimension? Dimensions in Google Analytics are used to break down metrics by a certain set of parameters. For example we can break ...

    Posted at January 26, 2015 | By : | Categories : Data Science,Google Analytics | 0 Comment
  • How to Connect Google Analytics with AppEngine (Python) and d3js: Another Heatmap Tutorial

    In my last post I showed how to connect Google Analytics with R. In this post we will build another heat map. This time with the Google AppEngine (Python) application and connect it to a Google Analytics account. This post will give you a starting point for developing Google Analytics applications in AppEngine. You will learn exactly how to create an AppEngine application and access Google Analytics data from it. The resources used in this post are available to the public and linked. To make it easier for you I have created a GitHub repository for this ...

    Posted at January 19, 2015 | By : | Categories : Blog,Data Science,Google Analytics | 0 Comment
  • Tracking Email Opens with Google Analytics

    Email marketing gets a bad rap. In the minds of some, it's like the 8-track or the fax machine of marketing. Why use dusty, old school methods when we've got all the shiny, new social medias? According to Copyblogger, "[email marketing has a] ROI of around 4,300% (according to the Direct Marketing Association), email practically pays for itself … and saves a tree or two. It’s what you use when you want to move from “conversation to commerce.” So don't give up on the 8-track...err...email campaign just yet. Now, how do you track it's effectiveness? Maybe you use a email ...

    Posted at January 15, 2015 | By : | Categories : Google Analytics | 0 Comment
  • 2015 Analytics Predictions, the Best Data Tools and Measuring What Matters: Analytics Roundup

    Well, after a nice holiday vacation, we're back to the Analytics salt mines digging up the best information so you don't have to. Read on to hear about tech expert predictions for 2015, how to ramp up a new Analytics career and tips for measuring the customer journey for marketers.  5 Steps to Transition Your Career to Analytics (Forbes) [5 lesson blog series] “These lessons are part of Aryng’s Analytics series for individuals looking to transition to a career in analytics or who are new to an analytics role.” 5 Predictions for Digital Marketing in 2015 (Courier Journal) “It is that ...

    Posted at January 9, 2015 | By : | Categories : Analytics Roundup,Google Analytics | 0 Comment
  • How to Connect Google Analytics with R: A 7 Step Heatmap Tutorial

    In this blogpost I will show you step by step how to get your GA data into R and do some basic manipulation with that data. The final product will be a heatmap of sessions across 2 dimensions (day of week and hour of day). Step 1: Requirements To follow this tutorial you will need a Google Analytics account and R software. R is a free software programming language mostly used for statistical purposes and data mining. Step 2: Set up a new Project in Google Developers Console First, open the

    Posted at January 7, 2015 | By : | Categories : Blog,Data Science,Google Analytics | 7 Comments
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