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Artificial intelligence, machine learning, and automation in analytics and marketing (130 posts)
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In April 2022, a few Measurelabbers got together for three days to attend brightonSEO and MeasureFest (an analytics-themed fringe event). After the three days, we all got together to discuss our favourite stand-out talks of the event on The Measure Pod podcast which you can listen to below.
This week Dan and Dara discuss how to measure the return on analytics and the different ways that analytics specialists can measure a tangible return for their hard work.
This week Dan and Dara chat through all of the event types Google Analytics 4 has to offer - from automatically collected, to enhanced measurement, to customised.
This week Dan and Dara are joined by Liam Grant and Matthew Hooson to chat about their experiences at MeasureFest and brightonSEO.
How will Google’s machine learning conversion modelling and other models change analytics? Is this the end of real data?
This week Dan and Dara discuss where they think the future of Google Analytics is heading. Spoiler alert - like it or not, it's all GA4.
This week Dan and Dara are joined by Lace-Chantelle Rogers to discuss why it's important to link GA4 to BigQuery as soon as possible.
There are a lot of benefits to linking your GA4 data to BigQuery – we’ve got ten good reasons for you to take your analytics to the next level today.
This week Dan and Dara have guest Mark Rochefort, Technology and Operations Director at Measurelab. They discuss why being impartial is vital in marketing analytics and the skills becoming more important to spot unconscious and conscious biases when working with data. The article from G
This week Dan and Dara discuss how the access to 'real' data in Google Analytics is becoming more limited due to technology and legislation changes.
This week Dan and Dara chat attribution modelling and how/where/if/when it's useful and important to invest in.
BigQuery is literally the next “Big” thing (with a capital B) in analytics. We explain what it is, how some of our clients are already using it, how much it costs and where you can start.
Sometimes less is more; especially when it comes to security access. This simple walkthrough will show you how to use GCP IAM to surface just the parts of your data warehouse to just the right people.
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.
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.
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
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
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