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
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 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
In this week’s In-Ear Insights, Katie and Chris talk about social media listening. What is it, and why does it sometimes fall very short of expectations? Learn what social media listening tools can and can’t do out of the box, and why expertise is mandatory to pair with even the best tools on the market. […]
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 discuss social media ROI. What is it, how do you compute it, and why do marketers do such a bad job with it? Learn the most common mistakes with social media ROI, when it’s useful as a metric, and what your next steps should be to find […]
In this week’s In-Ear Insights, Katie and Chris discuss the challenges of replicating data and what to do when asked to use data to make conclusions. They explain that the lack of information can be a hindrance to making accurate comparisons, but having domain expertise and knowledge of available data sources can help in creating […]
Read More… from In-Ear Insights: Risks of Replicating Data Without Sources
In this week’s In-Ear Insights, Katie and Chris talk vendor and partner management, aka third party relationship management. What is it? How do you choose vendors and partners who fit your requirements best? How do you position yourself as the vendor of choice? Tune in to find out! [podcastsponsor] Watch the video here: Can’t see […]
Read More… from In-Ear Insights: Third Party Relationship Management
In this week’s In-Ear Insights, Katie and Chris tackle a common challenge in organizations wanting to adapt a data-driven marketing methodology: stakeholders who don’t make data-driven decisions. Learn why this is the case and what you can do to help transition those stakeholders to more of a data-driven point of view. [podcastsponsor] Watch the video […]
Read More… from In-Ear Insights: Obstacles to Becoming Data-Driven
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