INBOX INSIGHTS: All About Generative AI (4/12) :: View in browser 👉 80 days until Google Analytics’ Universal Analytics shuts down. Take our GA4 course to get going now on Google Analytics 4 An overview of generative AI We’ve well established that of the two of us, Chris is the technologist and I am not. […]
Read More… from INBOX INSIGHTS, April 12, 2023: All About Generative AI
In this week’s In-Ear Insights, Katie and Chris discuss generative AI, one of the three major branches of artificial intelligence. This includes tools like ChatGPT, Google Bard, and Microsoft Copilot. They start by defining artificial intelligence and the three big categories within it: regression, classification, and generation. Generative AI makes things and allows people to […]
INBOX INSIGHTS: Marketing Mix Modeling (4/5) :: View in browser 👉 87 days until Google Analytics’ Universal Analytics shuts down. Take our GA4 course to get going now on Google Analytics 4 April 2023 One Click Poll Please click/tap on just one answer – this is our monthly survey to see how we’re doing, so […]
Read More… from INBOX INSIGHTS, April 5, 2023: Marketing Mix Modeling
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
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