In Ear Insights Trust Insights Podcast about Data and Analytics for MarketingIn-Ear Insights is the weekly audio podcast from Trust Insights. In each episode, learn practical, helpful tips for dealing with data, marketing analytics, marketing strategy, and other burning questions with your hosts, Katie Robbert and Christopher Penn. Every episode is hot and fresh in 30 minutes or less, so you can listen on your commute, working out, at home, outdoors going for a walk, or in the office and still have plenty of time for other shows. Each show offers video, audio, and a transcript so you can enjoy it in the format that works best for you.

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Recent Episodes of In-Ear Insights

  • In-Ear Insights: AI Will Take Your Job
    In this week’s In-Ear Insights, Christopher Penn and Katie Robbert discuss the impact of artificial intelligence (AI) on jobs. They explore whether generative AI will take over jobs, especially for junior members of an organization. They discuss the aspects of jobs that AI can and cannot replace, such as repetitive tasks versus human creativity and ...
  • In-Ear Insights: What is 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 ...
  • In-Ear Insights: What is 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! Watch the video here: Can’t see anything? ...
  • In-Ear Insights: Practical Use Cases of ChatGPT
    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. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 ...
  • In-Ear Insights: How To Improve Prompt Engineering With the Software Development Lifecycle
    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. Watch the video here: Can’t ...
  • In-Ear Insights: Data Storytelling and Complex Explanations
    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 ...
  • In-Ear Insights: Social Media Listening
    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-Ear Insights: Measuring ChatGPT Performance
    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 ...
  • In-Ear Insights: Social Media ROI
    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-Ear Insights: Risks of Replicating Data Without Sources
    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 ...
  • In-Ear Insights: Third Party Relationship Management
    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! Watch the video here: Can’t see anything? Watch it ...
  • In-Ear Insights: Obstacles to Becoming Data-Driven
    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. Watch the video here: Can’t see ...
  • In-Ear Insights: Motivation, Momentum, and Management
    In this week’s In-Ear Insights, Katie and Chris discuss how to manage motivation of a team, especially in demotivating circumstances. How do you keep people interested over a long period of time in a sustainable way? What if you don’t have the budget or resources for tangible retention methods? Tune in to learn motivation tips! Watch ...
  • {PODCAST} In-Ear Insights: How Business Requirements Gathering Boosts Revenue
    In this week’s In-Ear Insights, Katie and Chris talking business requirements gathering. Often seen as administrative overhead, business requirements gathering can dramatically increase revenue if you do it right. Learn what business requirements gathering really is, why it’s often done incorrectly (or not at all!) and how you can implement the process better to make ...
  • In-Ear Insights: Data Science vs. Data Analytics: What’s the Difference?
    In this week’s In-Ear Insights, Katie and Chris discuss the differences between data science and data analytics. They delve into how data science focuses on exploring why things happen, while data analytics focuses on what happened. They also touch on the importance of requirements gathering and the role of data engineering. Tune in to the ...
  • In-Ear Insights: Secrets of the C-Suite
    In this week’s In-Ear Insights podcast episode, Katie and Chris talk about one of the secrets of the C-Suite, based on a recent LinkedIn article. What does one set of executives do to be more productive that others don’t, and what lessons we can learn from it? Tune in to find out! Watch the video here: Can’t ...
  • {PODCAST} In-Ear Insights: 2022 Year In Review
    In this week’s In-Ear Insights, Katie and Chris look back at the year that was. We looked at the impact of Twitter’s change in leadership and Google’s announcement that Universal Analytics is being discontinued. We also discussed the rise and fall of NFTs, Bitcoin and Web 3.0 technologies. We discussed the need to find a ...
  • {PODCAST} In-Ear Insights: Unwritten Rules of Community Management
    In this week’s In-Ear Insights, Katie and Chris tackle the written and unwritten rules of community management, especially for private social media communities like Discord. What makes a community management team successful? What makes it prone to chaos? How do you set up your community and your moderation team to be successful? Tune in to ...
  • {PODCAST} In-Ear Insights: How Important Is Accuracy?
    In this week’s In-Ear Insights, Katie and Chris tackle how to present analytics and data to stakeholders in a world where opinion and emotion increasingly triumphs over data and basic facts. How important is accuracy? How do we stay true to our commitments to be data-driven when decisions are made with emotions? Tune in to ...
  • {PODCAST} In-Ear Insights: What Should My Salary Be?
    In this episode of In-Ear Insights, Katie and Chris answer one of the most common questions for jobseekers: “What should my salary be?” Learn the two different methods for determining how much compensation to ask for, and ways to handle salary negotiations in interviews. Key points from this episode: 1. The first step in determining your salary ...

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