
#22 Data-driven attribution - the past, present and future (with Tom Woods)
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.
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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.

A reflection on the year gone by and how far we’ve come as a company and team. From remote working to co-working, finding time for fun, and a growing appetite for GA4, we only mention Covid a few times.

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 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.

Learn how to create and set cookies using Google Tag Manager using this simple script and a Custom HTML tag.

This week Dan and Dara talk about server-side GTM. It's come out of beta, so they discuss what it is, why it's important and where it's going.

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 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 debate the usefulness of the Google Analytics (GA/GA4) Session, and try to see if there is an alternative.

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.

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.

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

Creating your first GTM tag This is the third of a series dedicated to introducing you, faithful reader, to the wonders and delights of Google Tag Manager. Last time, we took a high-level look at GTM and how it works, and today we'll be looking at how to set up a simple tag. Setting up a Google Analytics pageview tag We're going to set up a Google Analytics pageview tag. This replaces the old hardcoded GA that you'd used to have to put on every page of the site. We start by going to tags and

Amidst news of cookies crumbling and third party cookies eventually becoming obsolete, there is even more emphasis on identifying visitors who arrive on websites and providing users with a reason to remain loyal to your brand. Here is a simple user case on how to effectively personalise your customer experience using the Google Marketing Platform. According to Econsultancy: “50% of consumers are likely to engage with a brand when they receive an interesting offer.” So how can you demonstrate

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