
#24 What will the role of GA be in the future?
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.
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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 is joined by Tom Woods to discuss all things data-driven attribution off the back of Google Analytics 4 launching DDA as their go-to model.

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.

This week Dan and Dara discuss the relevance of the Google Sheets connector for GA, and if GA4 not having one will be a big deal or not.

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 are joined by Steven Elliott, our Managing Director. Steve discusses how tracking data about his body and exercise has enabled him to run experiments that have optimised his sleep and recovery.

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 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.

We’re so obsessed with analytics that we started a podcast! Here’s how we turned our passion into The Measure Pod.

This week Dan and Dara chat about the three key reasons they think we should care about GA4 right now.

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.

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

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

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