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The latest news, provocative views and some handy how-tos from the world of data, analytics, cloud and AI.

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234 results · Page 10 of 13

A day in the shoes of a Senior Analyst: Will Deschene at EDF

Our first launch into a ‘day in the shoes’ series is spent with Will Deschene, Senior Digital Analyst at EDF. In this interview, he tells us about managing stakeholders and a team, brands that have inspired him lately, and shares some valuable advice for new analysts. Aimée: Please describe your job: what do you do? Will: The majority of my work is stakeholder management, less of the 'doing' in the analytics world, as I now have two analysts in the team. It's more about stakeholder engagement

Aimée Hart-

Product affinity analysis: discovering what items customers buy together

Understanding what customers buy together Being able to answer the question ‘which of my products do people regularly buy together’ with ease and simplicity can be invaluable. Market Basket Analysis, also known as association analysis, is a way of mining shopping data to establish a set of rules that describe purchasing patterns. This analysis can be conducted using a wide variety of software such as SAS, Python and R. Why association rules matter The reason for investigating association is

Katy Beckett-

Three Small Recent GA/GTM Improvements

Google are always making small unannounced tweaks and improvements to their products—here are a few of the more noteworthy ones we've spotted recently! Scroll Depth Tracking I gave out at length last year about the fact that you can't specify the trigger conditions for the listener dropping on the scroll depth trigger—meaning the page length couldn't be calculated accurately and causing scroll depth events to fire early. I suggested that they might want to let you select the listener conditio

Adam Englebright-

Expanding on optimisation: effective strategies for digital success

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

Aimée Hart-

How to use BigQuery without GA360: insights from Measurefest 2019

Speaking at Measurefest For the first time in a few years, I took to the stage at Measurefest to talk about how to get your data from Google Analytics into BigQuery, and what you can do with it when you get there. Affordable BigQuery solutions Obviously, Analytics 360 can do this, but it costs $$$ per year. I outlined some more affordable methods, including third-party connector solutions, and provided a detailed example of how we would use our own Pipelines solution and what we could achiev

Adam Englebright-

Next‑Generation measurement with Google Analytics 4

Why GA4 has us excited This announcement has us rather excited at Measurelab. It has been a long time coming and represents the beginning of a completely new shift in how we use and think about digital measurement with Google Analytics. Leaving the old pageview model behind What we are effectively looking at here is a move away from Google Analytics as we know it, which inherited its underlying data collection schema and methods from Urchin Analytics; the analytics software product Google bo

Mark Rochefort-

GTM iframe tracking – Solutions Corner #2

This is part 2 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 fire Google Analytics event to keep track of your Google Optimize experiments in GA, and this time we're looking at tracking clicks on iframes. We have encountered, several times, the situation of a client wanting to track clicks on an iframe. While we can't do much about interactions with stuff within the iframe without having GTM a

Adam Englebright-

Google Analytics Enhanced Ecommerce tracking with Adobe DTM

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

Alex Cirstea-

It's nearly the end of term

As we countdown the last few days to the Christmas break, I wanted to share a few moments from what's been a busy and fun-packed couple of weeks at Measurelab. Besides all the great work everyone has been doing (which is de rigeur, of course), there's been much going on. First up to report is our little Christmas outing to Brighton; we went ice-skating at the beautifully picturesque outdoor ice rink at Brighton Pavilion. Some of us were a little more proficient than others (ahem). Gladly no bon

Mark Rochefort-

What is a Data Strategy and do I need one?

Let’s assume you’ve been using Google Analytics in your organisation for some time and your digital marketing endeavours at least are data-driven. More and more people are starting to see the benefit in using data to get their jobs done and now everyone’s talking about Data Science or Big Data or whatever. To be clear - when we say “data” we are not talking about just Google Analytics but the proliferation of this tool means that it is very likely a starting point for your data analytics. Alongs

Mark Rochefort-

Overcoming the limitations of Google Analytics

Google Analytics and Google Tag Manager are used by around 30 to 50 million companies worldwide. The tools are great for basic web analytics but restrict the user to aggregated data unless a substantial fee is paid (reported to be £90K per annum). This presents a large obstacle for small to medium sized businesses who want to develop a data-driven strategy. Let’s imagine a small retailer wants to implement a recommendation engine. Not a bad idea given that Amazon estimates that around 35% of sal

David Kane-

Knead that CRO dough into shape, ‘tis the season for the perfect prove

Whether you’re starting on your CRO journey or have been at it for years, chances are you’re after opportunities to give your bottom line a boost during the festive season. Taking some time to plan and carefully curate those optimisation journeys will not only go some way to making sure the additional traffic works better for you, it’ll result in a meaningful set of results and maximise learnings for the post-Christmas wash ups. Having worked 5 years for a well-known UK health and beauty re

Aimée Hart-

Toot toot... All aboard the Measurelab train!

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

Mark Rochefort-

GTM event tracking best practices – Solutions Corner #1

This is part 1 of what I hope will become a semi-frequent series on here, dedicated to reusable GTM solutions for scenarios or issues we've encountered more than once. This particular entry is a companion to Mark's piece from a couple of years back, but for Google Optimize rather that Optimizely. In short, it sends data layer pushes so you can fire Google Analytics events when there are Optimize experiments running, which saves you from using custom dimension slots etc in the course of ordinary

Adam Englebright-

Goodbye DoubleClick, hello Google Marketing Platform!

Last week, Google announced they were unifying their analytics and advertising platforms under a single new name: Google Marketing Platform. The Google Analytics 360 Suite and DoubleClick brands are being replaced with this single name. What does this mean for DoubleClick? If anything this is a change that has needed to happen for years. DoubleClick always sat rather clumsily alongside other tools from Google and this shift heralds the beginning of a more unified approach. Search Ads 360 wil

Mark Rochefort-

Chat about analytics and drink beer

Last night's #BrightonAnalytics&nbsp;<a href="https://www.meetup.com/BrightonAnalytics-Meetup/events/251264167/">meetup</a> was a great success - thanks to all who made it along to the Evening Star pub to chat about analytics and drink beer! The next one will be Tuesday July 17th - again at 6pm-9pm in the Evening Star, Brighton. See you there! [ngg_images source="galleries" container_ids="1" display_type="photocrati-nextgen_basic_thumbnails" override_thumbnail_settings="1" thumbnail_width

Mark Rochefort-

Adding Firebase Analytics to your React Native app

<span style="font-weight: 400;">This article describes how to integrate Google Analytics for Firebase (formerly Firebase Analytics) to a React Native app. </span><span style="font-weight: 400;">In order to do this, you need to use a JavaScript bridge called </span><a href="https://github.com/invertase/react-native-firebase"><span style="font-weight: 400;">RNFirebase</span></a><span style="font-weight: 400;">. &nbsp;</span> This is lightweight layer sitting on top of native Firebase librarie

Alex Cirstea-

Firebase Analytics demystified

<span style="font-weight: 400;">After a steep learning curve into the world of Firebase Analytics or Google Analytics for Firebase, it seems that a blog post about it would be much valued and appreciated. I’ve compiled a list of the most frequently asked questions.</span> 1. How does Firebase Analytics define a session? Firebase Analytics defines a session as a user engaging with your app for a minimum amount of time (10 seconds by default) followed by your user not engaging with your app

Alex Cirstea-