Software for the Technical Digital Marketer

This weekend, I bought a new laptop. I went for a sleek Lenovo IdeaPad 710s Plus with a 256 GB SSD harddrive, lots of memory and a dedicated graphics card. But getting a new computer made me realize just how much software I’m actually using. As an ecommerce consultant, the entire software stack of the digital marketer is actually quite comprehensive. I even had a hard time remembering what to install. Not because of a lack of frequency of using different software, but simply because there’s so much! So I want to share my software stack – also as a checklist for myself for next time I’m getting a new laptop.  Continue reading

Data Analysis, Data Collection

Measure the Time-to-click in Google Analytics

I’ve previously written a post on how to track clicks on internal links and call to actions. It’s really useful to measure which call to actions are actually clicked. But in some cases we might need more details. Such as knowing how long time it takes for our users to place that click. If users are taking a very long time before clicking a primary call to action, we might be able to help them by tweaking the text or our headers. But before we can make that decision, we must be able to measure the time-to-click. Continue reading

Data Analysis

4 Things to Know About Google Analytics Goals

One of the fundamental configurations in Google Analytics is to setup Goals. Goals are what allows you to analyze your website’s ability to drive users to what you want them to do (i.e. their Goals). Basically, goals are the actions on your website that provide value for you and for your customers. In turn, you’ll use Goals and Goal Conversion Rate to analyze the performance of e.g. your paid traffic channels. Which ones work and which don’t? But as with many things in Google Analytics, there are some things you need to know about Google Analytics goals, before you can use them intelligently.

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You know you work with digital and ecommerce when…

#1 … you ask a fellow passenger in the lift to “Please click the number five button”

#2 … you once in a while click a banner ad just for fun; and upon seeing the landing page, realizes that no one apparently had thought of that ever happening

#3 … you feel the need to optimize the way hotel buffets are ‘layouted’ every time you’re on vacation

#4 … you try to segment people on the train in different user buckets by age, gender and clothing style

#5 … you’re amazed how fast (and unsecure!) payment is in an actual store where you don’t have to enter card number, expiration datae security code and verify with 3D Secure

Data Analysis

Pageviews and Unique Pageviews in Google Analytics

You’re probably familiar with the All Pages report in Google Analytics. This report tells you basic data about all of your pages. Things such as the number of entrances (landings), exit rate, bounce rate and so on. But the two first metrics – Pageviews and Unique Pageviews – often lead to confusion. Because, what’s the difference between Pageviews and Unique Pageviews?

This is a really short post since the answer is simple. It’s not even a post. I’ve categorized it in WordPress as an “Aside”. Which I think is just a quick note. But back to the difference. Just as there is a difference between Users and Sessions, Pageviews and Unique Pageviews are a world apart.

The Pageviews metric shows the total number of times a specific page is viewed. Even if your users view it multiple times by refreshing the page or by visiting it several times. So this is the total.

On the other hand, the Unique Pageviews metric is always going to be equal to or lower than the Pageviews metric. This metric only counts one per pageview of a given page per session. So even if a user views a page several times within one session, this only counts as one unique pageview.

So, Pageviews are the total – even if a user visits the same page multiple times within one session. Unique Pageviews are the total number sessions in which a page was viewed.

Data Collection

Detect and track iPhone models in Google Analytics

Ever since the iPhone 4 came out, I’ve been a bit annoyed with the way mobile (Apple) devices are tracked in Google Analytics. While we get plenty of device information for other brands, Apple has (perhaps unintentionally) made it difficult to detect and track iPhone models. To make a long story short, Apple devices usually only identify themselves as iOS devices without any specific model information. Basically, iPhones introduce themselves to Google Analytics by saying “Hi, I’m an iPhone” instead of “Hello, I’m an iPhone 5”. Which is what we’re going to change with this post. Continue reading