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 today’s digital landscape, email marketing remains one of the most effective ways to reach your target audience. However, building a high-quality email list can be a challenging and time-consuming process. Some marketers may be tempted to take shortcuts by buying or renting third-party email lists. But beware! This practice not only poses serious risks […]
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
INBOX INSIGHTS: Fact-Checking AI, Social Media at Conferences (3/22) :: View in browser 👉 Take our Measurement Strategies for Agencies course now for free! How Do I Know if My AI Information Is Correct? Unless you’re living under a rock, you’ve probably heard a thing or two about all the advances in AI over recent […]
Read More… from INBOX INSIGHTS, March 22, 2023: Fact-Checking AI, Social Media at Conferences
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 […]
INBOX INSIGHTS: Happy Fifth Birthday, Trust Insights (3/15) :: View in browser 👉 Take our Measurement Strategies for Agencies course now for free! Five years of Trust Insights – Lessons Learned (Almost) On this day, five years ago, I sat in my quiet house, stared at my laptop and then…nothing. I had no idea what […]
Read More… from INBOX INSIGHTS, March 15, 2023: Happy Fifth Birthday, Trust Insights
In this week’s In-Ear Insights, Katie and Chris tackle an audience question: “Any general advice to simplify data explanations for decision makers who can’t follow a complex explanation (which always sounds like you are trying to cover for something)?” We look at what makes an explanation difficult or complex, and how to emotionally involve stakeholders […]
Read More… from In-Ear Insights: Data Storytelling and Complex Explanations
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