Segments – An Analyst’s Best Friend! Part 1

Advanced Segments are quite possibly the most powerful slice-and-dice tool available in Google Analytics. Recently, however, it came to my attention that even some of our biggest and most advanced users are not using/under-utilizing advanced segments! When I think about segmentation, it comes in two forms in Google Analytics: 1. Advanced segments Out of the box segments such as New vs Returning Users, Device Type, and traffic types Custom Segments that you create 2.Secondary Dimensions Because these are both large topics in and of themselves, I’ll be splitting this post into 2 parts. In part 1 I’ll talk about Advanced Segments, and part 2 will cover Secondary Dimensions. So – the Who, What (for), When, Where, and How of Advanced Segments: Who: Anyone can create them! Segments are created at
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Data Driven Design

Designing a new website is a big task. You must take many things into consideration: ease of use & functionality, mobile responsiveness, content, flow, graphics, etc. On top of that, you need to ensure that all of the analytics tracking is properly setup and collecting the necessary data for you to report on success. With so many considerations, it’s important to look at what your users are already telling you about it’s ease of use and helpfulness before you begin to make decisions about how to redesign and change it. Key metrics to consider when thinking about a website redesign: – number of unique users & sessions in a given time period – top content by pageviews/events/goal conversions/etc – funnel success (newsletter signups, contact form submits, checkouts, etc) – device
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Podcast Guest: Jumpstart with Jeffalytics

A few weeks ago I had the chance to sit down (virtually) with an industry friend, Jeff Sauer, who is an expert in all things Google Analytics & AdWords and who has recently kicked off a podcast series he’s calling ‘Jumpstart with Jeffalytics’. I had the distinct honor of being guest #2 (after the Wizard of Moz, Rand Fishkin) for Jeff’s new podcast and now that it’s live I wanted to share Jeff’s recap of the episode as well as a link to where you can find the podcast. I had a great time chatting with Jeff and recording this session, and am humbled by his kind words of support throughout. I wouldn’t be where I am today without the support and friendship of industry peers such as Jeff and
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Three Google Analytics Features You Should Be Using Today

I run Google Analytics training workshops that take users from ‘never seen it before’ through to ‘grown up GA practitioner’. A key success metric for me is how many people answer ‘Yes’ when I ask if a certain piece of functionality is new to them. If folks are learning new things, this is good! I have certain ‘favourites’ when it comes to the new functionality question. These are not new but they are seldom used so they appear to be new. They’re certainly exciting because they add power to the product and streamline how users use it. They’re golden! Take a look at these three examples. Are these new to you? They’re easy to learn and will add new super-powers to your GA skills.   1: Keyboard Shortcuts You can
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Three Google Analytics Views You Should Use Today

I often get asked for recommendations and best practices for setting up a new Google Analytics property. How many views should we have? What are the best practices for types of views? You can have as many views as you want (ok not really, the cap is 25 views per property unless you have a special exception) and organize them however you want. That’s one of the cool things about GA – it’s super flexible to user needs & design.  BUT, I do recommend that you always have at least 3 views per property, such as the below: 1. RAW view: This is a view that does not have any filters or modifications added to it. You can use the standard ‘All Website Data’ view for this, but I’d suggest
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Three Google Analytics Filters You Should Be Using Today

In Google Analytics, filters provide a flexible way of modifying the data within each view of your analytics account. You can use them to exclude data, include data, or actually change how the data looks in your reports. Filters help you transform the data so it’s better aligned with your business needs. Google Analytics applies the filters from each view to the raw data collected from your website or app at the time of processing. The filtered data is what we then see in the reporting UI for each view. There are three filters that every analytics account should set up right away: spambot filtering, excluding internal IP addresses, and forcing all pages/referral sources to lower case. 1. Spambot Filtering This one is super easy because it’s a simple checkbox
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Custom Funnels – New in Google Analytics Premium

Of all of the reporting features that Google Analytics has launched in the past few years, I think this is, quite possibly, my favorite. Not just because it’s new and pretty, but because it fills a big big need for analysts: Define steps based on any dimension criteria. This means you can build funnels on the fly based on events, page views, etc. You are no longer limited to just using a destination/page URL as a funnel step as you are in regular GA goals. My favorite use case is sending any kind of hit type from an offline system, such as a CRM, to GA via the Measurement Protocol and then adding those as steps into a Custom Funnel (see the below example) They are RETROACTIVE!!!! You can build
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GTM Analytics Academy Course Open Till July 24th!

I’m INCREDIBLY excited that we launched our newest Analytics Academy course last week (June 23rd). This course is all about Google Tag Manager and is aimed at helping marketers, analysts, and developers quickly get up to speed on GTM, tagging best practices, and using tag management to improve your analytics (and other tags) implementation. And I’m INCREDIBLY excited that I have the opportunity to be the instructor for our newest course! This opportunity allows me to bring my passion for teaching GTM to both a technical and a less technical audience and to help GTM education reach the masses. I couldn’t be more excited! If you’re not familiar with the Analytics Academy, here’s the quick history and relevant links: there are currently 5 courses: Digital Analytics Fundamentals, Platform Principles, Ecommerce
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I’m a Woman in Tech: How it Helps Me and Hurts my Gender

I’m an analytics professional. A teacher. An advocate. An advisor. I work in tech. I work with engineers, developers, marketers, sales, product, and ops. I work with all levels, from analysts to executives. And I am a woman. Until recently, I’ve hadn’t put much thought into what that really meant for me professionally. I attribute that to a couple of reasons: I’ve (almost) always had managers who have treated me with respect and pushed me, advocated for me, and promoted me based on the quality of work and the contribution to the business I’ve delivered. Not based on my gender. And also because I’ve never seen myself as a feminist (I’m not saying this is good or bad or that being a feminist would require me to think about what it
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