Measured Opinions #1: Why should I care about GA4?
This week Dan and Dara chat about the three key reasons they think we should care about GA4 right now.
Daniel Perry-Reed-
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Data privacy in GA4: ensuring compliance & user trust
We all need to play our part in promoting a more responsible, ethical approach to collecting and using customer data. If we don’t, there’s a risk we’ll be left with nothing to measure.
Steven Elliott-
Why migrate to GA4? Your data may not be as good as you think
Be warned: the risk of sticking with your current Google Analytics implementation may well be greater than any costs associated with the "migration" to GA4.
Steven Elliott-
Data warehouse: Repair broken tables in BigQuery
At Measurelab, we love a bit of data warehousing using BigQuery; in fact, we are obsessed with finding the best approach to managing data warehouses in the most optimal way possible. So in this series, we want to share with you our knowledge and expertise to show what a fantastic and dynamic tool BigQuery is. As you may know, BigQuery has some super powerful features, which allow us to build, manipulate and even run machine learning algorithms within the interface. However, we’re all human, an
Lace Rogers-
How data moves between Google Analytics 4, BigQuery and Data Studio
There's a surprising number of data feeds and transfers for Google Analytics 4, BigQuery, Data Studio and all its connected accounts and platforms. We set out to map them all to assist with your architecting.
Daniel Perry-Reed-
Customer segmentation: how to get to know your customers better
In marketing, it’s vital to know your customers and how they interact with your brand. You need to know what they buy, when they buy, how often, how much... But why? Because if you know their habits and behaviours, you can tailor your marketing tactics and even personalise your customers’ journey. In doing so, you can maintain and even raise engagement between your customers and your brand. So how do we do this? Before thinking about any targeting strategies, you need to get to know your cus
Oli Paterson-
Data warehousing: What is BigQuery and how do I get started?
At Measurelab we live and breathe the Google Cloud Platform, so our specialists are experts in Bigquery. We have decided in this series to share our knowledge and take you through some great techniques to maintain your BigQuery data warehouse. So firstly-what is BigQuery? BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. ...and that means? Simply put, BigQuery is a fantastic cloud-based data warehouse in which you can store huge
Lace Rogers-
How recognising images works - when you're an algorithm
There are many different types of image recognition. The main aim of such practises is to correctly match a new picture to an existing group of pictures. In some instances it is not dissimilar to how a clustering algorithm works, in that common features are identified and grouped together (Moosmann et al., 2008). Although several methods of image recognition exist, this blog post will give an overview of the method of facial image recognition that has been patented by Tsai (2004). This inventio
Katy Beckett-
30 sleeps ’til Christmas: our reflections on 2020
Reflecting on a challenging year What a year. I don't think I'm alone in wishing this particular year away and wanting to start Christmas ASAFP! 2020 has certainly thrown up a few challenges that we could never have predicted this time last year. The global pandemic has affected our lives collectively and individually on so many levels. Adapting to remote work For us at Measurelab we have all been working remotely now for just over 8 months. We were thrown into a situation that on one hand w
Mark Rochefort-
Google Analytics data import: automate data import with Python & Cloud functions
Why automate data import into Google Analytics A few months back I was granted access to a Google Cloud Source Repository (private Git repositories hosted on Google Cloud part of Google’s Cloud developer tools) that contained Python code and configuration details for automating the extraction of data from a BigQuery table and uploading to Google Analytics as a custom dimension via the Management API on a desired schedule. Choosing the right approach for blog word counts Being primarily a Jav
Victor Sarker-
Google Analytics 4
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
Mark Rochefort-
Three popular GTM server-side tagging misconceptions
With the recent release of server-side tagging for Google Tag Manager, a whole new woooooorld of possibilities has opened up. But on that, some people have got the wrong idea, so with that in mind, here's three popular (but wrong!) things people believe about server-side GTM. 1) You still need client-side GTM to make it work This is slightly unfair, as I can see why this misconception arose. You do need something to send your hits to the GTM server, and in many cases the easiest and best thin
Adam Englebright-
Life as a new starter: remote edition
In the analytics industry, everyone I have had the opportunity to work with is so passionate about their role and always thrives on learning and sharing techniques. So when you're starting a new job at an analytics agency you know you'll have the opportunity to learn lots of new tricks and experiment with new types of datasets, which is very exciting. Excitement is one of the two feelings you experience when starting a new job. Then comes the unknown, the nerves - What if I'm not what they expe
Jacob Birch-
We are going BIG on DATA
See what we did there? Okay, so maybe a tad too much on the title. It is catchy, so hey. Firstly - we are pretty chuffed to welcome Lace to our team. She joins us to spearhead our offering in all things DATA science and data engineering, which (to be completely frank) is where all roads point in this analytics game. With the advent of App plus Web (from Google Analytics), and particularly the opportunity to access raw data through BigQuery, this is an exciting place to be right now. Secondly -
Mark Rochefort-
Google Tag Manager form field tracking: capture pre-populated form changes
This is part 5 (and my first contribution, so bear with me) to this "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 capture existing classic Google Analytics calls with GTM, and this time we'll be exploring how to track changes in pre-populated HTML form fields. Why I did it I was recently approached with a request from a client who wanted to know which fields were updated in a form that was pa
Victor Sarker-
Emergency Analytics Support
It can be tricky judging how to pitch a new offer in times of crisis. There’s a fine line between being genuinely helpful and appearing exploitative. Sometimes you have to just jump in and try things, knowing they may be misinterpreted by the minority. In business, indecision can be crippling. While people’s lives are undoubtedly the most precious thing, livelihoods are worth saving too. A number of our clients - particularly those in the retail sector - have been hit hard by recent events.
Steven Elliott-
Life moves pretty fast: navigating the remote work transition
Realising change was coming On Thursday, 12 March, advice about the coronavirus was still unclear. We did what we do best, we looked at the numbers. The modelling made it clear that, for the health of our team and community, we should move to remote work and begin social distancing. Adapting to remote work overnight It was a sudden change. Yet, being a digital (and people) business meant that this transition was a relatively easy one. We don't exactly have a factory to dismantle and move. Ou
Mark Rochefort-
Allowed to recommended: Week 1 – Remote work challenges in the UK
Last week the government's coronavirus advice moved from "contain" to "delay", and Measurelab moved from "allowing" to "recommending" that we work from home. As people left the office, one at a time, I couldn't help but feeling that I was saying goodbye to people for what would probably be quite a while. It's been a week since I've seen any of my colleagues in person and while we've been trying our best to continue to foster office camaraderie remotely, it's been a bit of a learning curve for al
Adam Englebright-