In this week’s In-Ear Insights, Katie and Chris talk through marketing mix modeling. What is marketing mix modeling? Why should we care about it? How does it work? You’ll learn the difference between marketing mix modeling (sometimes called media mix modeling) and attribution modeling. Tune in to find out more! [podcastsponsor] Watch the video here: […]
Read More… from In-Ear Insights: What is Marketing Mix Modeling?
In this week’s In-Ear Insights, Katie and Chris talk through a half dozen practical use cases of ChatGPT, why they work, and what you can do to make generative AI tools more useful and powerful in your own work. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the […]
Read More… from In-Ear Insights: Practical Use Cases of ChatGPT
We’re going to do a large language model bakeoff, pitting Google Bard, Microsoft Bing, and OpenAI’s GPT-4 against a series of 11 questions that will test their capabilities and compare outputs for a set of common tasks, informational and generative. Here are the 11 questions we tested: 1. What do you know about marketing expert […]
Read More… from Large Language Model Bakeoff: ChatGPT, Microsoft Bing, Google Bard
In this week’s In-Ear Insights, Katie and Chris talk through how to improve your prompt engineering for large language models like ChatGPT, GPT-4, and other services through the use of the software development lifecycle. Learn how to apply the SDLC to your individual work with AI tools, and why it’s so important. [podcastsponsor] Watch the […]
In this week’s In-Ear Insights, Katie and Chris discuss how to set up a testing plan for measuring ChatGPT and whether it is working for you or not. From time savings to risk mitigation, think about the different ways large language models could be improving your business, then develop a measurement plan to see if […]
Read More… from In-Ear Insights: Measuring ChatGPT Performance
In this week’s In-Ear Insights, Katie and Chris tackle the question on every advertiser’s mind: how to adapt for the cookieless future? What should we do about the cookieless future? What things should marketers know – what’s going away? What’s still available? What strategies should marketers pursue to no longer rely on third party data […]
Read More… from {PODCAST} In-Ear Insights: How To Adapt For The Cookieless Future
One of the data collections we look forward to most eagerly every year is Scott Brinker’s MarTech landscape. This compilation of marketing technology is a who’s who of MarTech; nearly every company from the tiniest startup to global Fortune 10 companies is listed. Every year, we wonder about the companies themselves. These are tech startups […]
Read More… from The Marketing Technology of the MarTech 9000
In this week’s In-Ear Insights, Katie and Chris talk through some of the latest data in marketing technology from Scott Brinker’s MarTech 9000. How much marketing technology is too much? Do we really need hundreds of options for CRM software? What lessons should we take from all this data. Tune in to find out! [podcastsponsor] […]
Read More… from {PODCAST} In-Ear Insights: How Much Marketing Technology is Too Much?
In this week’s In-Ear Insights, Katie and Chris review the basics of what server-side tagging is, why it’s important, and how it works. Using Google Tag Manager’s server-side edition as the example, we look at why companies like Facebook are pushing it so much, and what benefits – and hurdles – server-side tagging presents. Tune […]
Read More… from {PODCAST} In-Ear Insights: Understanding Server-Side Tagging
In this episode of In-Ear Insights, Katie and Chris discuss how to tell if a Google Analytics 4 implementation was done correctly, especially by a third party. What signs should you look for that things are set up for optimal performance? What are some warning signs to look for, even for the least-technical marketers? Tune […]
Read More… from {PODCAST} In-Ear Insights: Is Your Google Analytics 4 Implementation Correct?
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