
How to force a hit-level segment in Universal Analytics
In Universal Analytics, you can build a user-level or session-level segment. Here’s a nifty little hack to force a hit-level condition to get the data that you want.
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Ecommerce analytics, Enhanced Ecommerce tracking, and online retail measurement (79 posts)
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In Universal Analytics, you can build a user-level or session-level segment. Here’s a nifty little hack to force a hit-level condition to get the data that you want.

This week Dan is joined by George Mendham to discuss what features Google Analytics 4 needs to reach parity with Universal Analytics (and surpass).

This week Dan and Dara are joined by Steen Rasmussen from IIH Nordic to discuss how to approach and access analytics maturity in the modern era since COVID-19.

This week Dan and Dara discuss Segments in GA. They discuss some good use cases, lesser-known hacks and applications.

This week Dan and Dara discuss various situations when GA is not the answer. Whether it's navigating gaps in data collection, or forcing types of data analysis that don't quite work.

This week Dan and Dara are joined by Jake Birch, Lead Analytics Consultant at Measurelab. They discuss how COVID-19 has affected how he has analysed data for his clients over the last 18+ months.

This week Dan and Dara dig deep into the ABCs of Google Analytics metrics. Defining what they actually mean and their relevance and/or place in the modern technological age.

This week Dan and Dara chat attribution modelling and how/where/if/when it's useful and important to invest in.

This week Dan and Dara run through an audit for Universal Analytics properties in 15 minutes. They touch on common issues when looking at GA and how to fix them.

This week Dan and Dara discuss the PIVOT framework they've been working on to help people 'pivot' to GA4. Clever, very clever...

The new future version of Google Analytics has been announced - now branded as Google Analytics 4. Building on the "App + Web" property that was released last year, this sets the direction for Google Analytics going forwards. It is now the default experiences for all new properties and is where all product developments will be focussed. Google Analytics 3, commonly known as Universal Analytics, was released in October 2012. This next product iteration for Google Analytics is a major step on fro

This is part 4 of a semi-regular series, dedicated to reusable GTM solutions for scenarios or issues we’ve encountered more than once. The challenge with pre-GTM classic calls Last time, we looked at how to turn on-page classic Google Analytics calls to data layer pushes, and this time we'll be looking at a supplement to that—what if the classic GA call you're looking to capture is before GTM loads? This pretty much only matters for ecommerce, so that's what the solution focuses on. We start

This is part 3 of a semi-regular series, dedicated to reusable GTM solutions for scenarios or issues we’ve encountered more than once. Last time we looked at how to track clicks on iframes using GTM, and this time we’re looking at how to turn on-page classic Google Analytics calls to data layer pushes. The problem with hard-coded GA calls Say you still have hard-coded calls to classic GA on the page, but the library code itself was being delivered via GTM. It's now been removed, but there are

For our regular "A Day In The Shoes" feature, Andy - Senior Research Executive at EDF - talks about delivering a fresh insights perspective and tells us about the skills he needs to be effective in his role. Here’s what his day-to-day looks like. Aimée: Can you start by telling me your job title and responsibilities Andy: I manage Customer Insight projects of all types at EDF . My view is that the role of an insight manager in a big organisation has changed massively. It’s moved away from jus

Recently I ran a workshop with a leading International luxury fashion retailer. The purpose was to structure thoughts between disparate teams around purpose and definition of an optimisation workstream. Initially we talked about short term imminent goals, with the festive season fast approaching these were not surprisingly highly tactical and focused around maximising peak performance. Setting the scene At this stage I introduced more broader notions around decoupling the shopping journey or

Here at Measurelab, we work predominantly with the Google stack but that doesn't stop us using other tools. As there's not much documentation available in the public forum on how to implement Enhanced Ecommerce in Google Analytics using Adobe Dynamic Tag Manager (DTM) formerly know as Satellite, I think this blog post would be useful. As good introduction to the tools itself, below there’s a useful overview of Adobe’s Dynamic Tag Management architecture, which is from their learning resource pa

In the last couple of months we've had three new starters and I'd like to give them a little nod of recognition, if I may. First up is (Doctor) Dave, who joined us as a Data Scientist in the Summer; he popped along to one of our Brighton Analytics meetups and it just went from there. Dave's background is in terribly clever machine vision stuff - he was recently working in Barcelona (at Universitat Pompeu Fabra) doing Postdoctoral Research involving adaptive image processing algorithms (wher

<span style="font-weight: 400;">I spoke at <a href="http://www.measurefest.com/" target="_blank" rel="noopener noreferrer">#Measurefest</a> in the Barbican last Friday. Here are the slides from my talk but I wanted to write a quick summary to give a bit more context as the slides on their own don’t tell the story. </span> When GA just isn't enough from darafitzgerald The title of the talk was "When GA just isn't enough". For some that know me this might sound like an unexpected title. I sp