In this episode of In-Ear Insights, Katie and Chris talk about the most overlooked part of any migration, but especially a migration for Google Analytics 4: your people. What are the skills gaps that exist? How bad are they? What should you be doing to mitigate those skills gaps and how strongly will they impact […]
Read More… from {PODCAST} In-Ear Insights: Google Analytics 4 and Skills Gaps
Lots of folks have written in and messaged about Google’s announcement that they’re sunsetting Universal Analytics – also known as Google Analytics 3, the software that probably 90-95% of companies still use for their web analytics. What’s going on with Google Analytics? So, what exactly is going on? Here’s the skinny, from their announcement. On […]
Read More… from What’s Going On With Google Analytics 4 And Universal Analytics?
This data was originally featured in the March 17, 2021 newsletter found here: https://www.trustinsights.ai/blog/2021/03/in-the-headlights-march-17-2021-three-year-anniversary-edition/ In this week’s Rear View Mirror, we take a walk down memory lane for our anniversary. One of the things we rarely do in any of our analytics is step back and look at the BIG picture, which in this case […]
Read More… from Google Analytics since the first days of the company
In this episode of In-Ear Insights, Katie and Chris walk through the Google Analytics 4 Attribution Modeling. Watch as they explain the details, the different settings, which built-in model you should use most of the time, how to visualize your funnel, and explore some anomalies that might require you to use more than one attribution […]
Read More… from {PODCAST} In-Ear Insights: Google Analytics 4 Attribution Modeling Walkthrough
In this week’s In-Ear Insights, Katie and Chris walk through the Google Analytics UTM tracking order of operations. You’ll learn exactly how Google Analytics processes UTM codes, why they’re so important, why Google sometimes gets attribution wrong, and in what order codes are processed – especially when Google Ads is in the mix. If you’ve […]
Read More… from {PODCAST} In-Ear Insights: Google Analytics UTM Tracking Order of Operations
In this episode of In-Ear Insights, Katie and Chris discuss recent privacy changes, iOS 14.5, why Google wasn’t freaking out like Facebook was, and how Google can promise to intelligently append/fill in missing third party data where other adtech platforms cannot. Find out why you’ll be spending more money in Google Ads in the coming […]
Read More… from {PODCAST} In-Ear Insights: Google Analytics and Third Party Data
In this episode of In-Ear Insights, Katie and Chris ask the question: why don’t we focus on or measure SEO for customer retention? After all, useful, valuable content isn’t solely the provenance of new customer acquisition. Keeping existing customers happy and providing them value is equally or more important – but we don’t typically measure […]
Read More… from {PODCAST} In-Ear Insights: SEO and Customer Retention
In this episode of In-Ear Insights, Katie and Chris discuss the newly-released Google Analytics 4. At a high level, what should marketers be thinking about? How soon should they migrate? Are some companies better suited for it than others? All these questions and more answered in this episode. [podcastsponsor] Watch the video here: Can’t see […]
Read More… from {PODCAST} In-Ear Insights: Planning a Google Analytics 4 Migration
What data should you look at to decide marketing strategy? How do you use that data with a shoestring budget during leaner times? In this episode, Katie and Chris walk through common Google Analytics metrics that lend themselves well to marketing strategy decisions, and a KPI decision framework. [podcastsponsor] Watch the video here: Listen to […]
Read More… from {PODCAST} In-Ear Insights: Marketing Strategy on a Shoestring Budget
“How do I know the effectiveness of my channels to drive traffic?” We hear this question all the time and the problem with answering this is that we could only look historically at what happened, and guess about the future. Until now. Using machine learning-powered predictive forecasting, we can now see how our channels will […]
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