Skip to main content

Universal Analytics is out of Beta... So What Now? #brightonseo talk slides

Mark Rochefort25 April 20142 min read
Universal Analytics is out of Beta... So What Now? #brightonseo talk slides
			Yesterday, at BrightonSEO, <a href="http://measurelab2.wpengine.com/blog/author/dara/">Dara</a>&nbsp;(our Analytics Director) gave a talk on the state of Universal Analytics now that it is out of beta. It was well received by all (see Twitter feed below). Here's the slides (on <a href="http://www.slideshare.net/darafitzgerald/universal-analytics-out-of-beta-brightonseo" target="_blank" rel="noopener noreferrer">Slideshare</a>) from the presentation in case you missed it or wanted to view them again:
After about 18 months in beta, Universal Analytics is now fully available with complete feature parity compared to Classic GA. This presentation runs through the current state of play with Universal, the key benefits to us as marketers and practical examples of how to start making the most of the new tracking library.

Twitter feed from #BrightonSEO








Suggested content

Measurelab awarded Google Cloud Marketing Analytics Specialisation

At the start of the year, if you’d asked us whether Measurelab would be standing shoulder to shoulder with Europe’s biggest consultancies by September, we would've been surprised. Not because we don't believe in ourselves, but because these things feel so distant - until suddenly, they’re not. So, here it is: we’ve been awarded the Marketing Analytics Services Partner Specialisation in Google Cloud Partner Advantage. What’s the big deal? In Google’s own words (with the obligatory Zs): “Spec

Will Hayes11 Sept 2025

BigQuery AI.GENERATE tutorial: turn SQL queries into AI-powered insights

BigQuery just got a major upgrade, you can now plug directly into Vertex AI using the new AI.GENERATE function. Translation: your analytics data and generative AI are now best friends, and they’re hanging out right inside SQL. That opens up a whole world of new analysis options for GA4 data, but it also raises some questions: * How do you actually set it up? * What’s it good for (and when should you avoid it)? * Why would you batch the query? Let’s walk through it step by step. Step 1: H

Katie Kaczmarek3 Sept 2025

How to start forecasting in BigQuery with zero training

If you’d told me five years ago that I’d be forecasting product demand using a model trained on 100 billion time points… without writing a single line of ML code… I probably would’ve asked how many coffees you’d had that day ☕️ But its a brand new world. And it’s possible. Let me explain What is TimesFM? TimesFM is a new foundation model from Google, built specifically for time-series forecasting. Think of it like GPT for time, instead of predicting the next word in a sentence, it predicts t

Katie Kaczmarek14 Jul 2025