IN-EAR INSIGHTS: WEEKLY PODCAST FROM TRUST INSIGHTS
Strategy Meets Data. Every Week.
In 30 Minutes or Less.
Most business podcasts are either too academic to be useful or too superficial to be actionable. We built In-Ear Insights to bridge that gap. We skip the banter and get straight to the answers you need to solve your most burning business questions.
The CEO and the Data Scientist.
Here’s the thing: Data is useless without a strategy, and a strategy is just a guess without data.
On In-Ear Insights, we bring those two worlds together using the 5P Framework (Purpose, People, Process, Platform, Performance).
CEO Katie Robbert and Chief Data Scientist Christopher Penn break down the people and processes required to make technology work for your bottom line. We share our wins, our mistakes, and the “Now What” so you can lead with authority.
Respecting Your Time and Learning Style.
Consumption on your terms. Full resource suite for every episode.
Video
Watch the “work” happen. We often share screens to show you charts, code, and frameworks in action on YouTube.
Audio
High-quality production for leaders on the move. Listen on your commute, at the gym, or between meetings.
Full Transcripts
For the researchers and scanners. Fully transcribed so you can find the exact insight without scrubbing through audio.
Practical Tips for Every Level of Leadership.
The Strategic Leader
Learn how to prove ROI and align technical teams with business goals.
The Enterprise Executive
Navigate data governance, AI ethics, and compliance risk with confidence.
The Agency Principal
Gain the technical validation you need to protect margins and win business.
Stop Guessing. Start Executing.
Recent deep-dives include:
- ✔ Qualitative Data at Scale: Turning survey results into strategy.
- ✔ The Shift to Agentic AI: Preparing your team for AI delegates.
- ✔ GA4 Attribution & ROI: Fixing measurement reports.
- ✔ The 5P Framework for AI: Why purpose matters most.
Voice Assistants
Simply tell your device:
- Siri: “Play the In Ear Insights podcast”
- Alexa: “Play the podcast In Ear Insights”
- Google: “Play the podcast In Ear Insights”
Ready to level up your strategy?
Subscribe today and get the new episodes every Wednesday morning.
No hype. No shiny objects. Just the data science you need to lead.
Recent Episodes
- In-Ear Insights: Marketing AI Conference 2023 In ReviewIn this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss takeaways from the recent Marketing AI Conference, MAICON 2023. We talk about the growth of the event, Chris’s generative AI keynote, and share highlights from other speakers on AI regulation, ethics, and impact on jobs. We debate whether agile development processes ...
- In-Ear Insights: Is ChatGPT Getting Dumber?Since its release in November 2022, ChatGPT has been lauded as a groundbreaking AI chatbot. However, recent research indicates its capabilities may be declining over time. In this episode of the Trust Insights podcast In-Ear Insights, hosts Christopher Penn and Katie Robbert ask the question: is ChatGPT getting dumber? They discuss findings that ChatGPT appears to ...
- In-Ear Insights: Workplace Communication and ProductivityIn this episode of In-Ear Insights, the Trust Insights podcast, Katie Robbert and Christopher Penn tackle a common workplace challenge – how to keep teams focused on priorities instead of getting distracted by drama or interpersonal issues. As Katie explains, acknowledging that some level of gossip or emotional venting will happen is key. Trying to forbid ...
- In-Ear Insights: What is Threads by Meta?In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the latest buzz in the social media marketing sphere: Threads. Threads is a Twitter clone built on the Instagram database and architecture. It has experienced rapid growth, surpassing 100 million users in just a few days. Katie shares her frustration with ...
- In-Ear Insights: Limitations of Data Science SkillsIn this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the limitations of data science skills. They explore the various aspects of data science and what it truly means to be a data scientist. They touch upon the importance of understanding the scientific method and how it applies to data science. ...
- In-Ear Insights: How to Market Boring ProductsIn this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the challenge of marketing products and services that are considered boring or mundane. They emphasize the importance of identifying the right audience for such products and reframing the marketing approach to make it more appealing to that specific audience. They provide ...
- In-Ear Insights: Buy Or Build Marketing Technology?In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the age-old question of whether to buy or build marketing technology. They explore various aspects of this decision, including business strategy, in-house skills, regulatory requirements, long-term considerations, and the value of owning versus renting. They also touch on the growing importance ...
- In-Ear Insights: In-Ear Insights: What Qualifies Someone As An Expert?In this week’s In-Ear Insights, Katie and Chris discuss the six dimensions of expertise, and what constitutes someone being an expert or not. Learn what the 6 dimensions are and whether or not someone should be considered an expert. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 ...
- In-Ear Insights: Tiktok and Marketing Mix ModelingIn this week’s In-Ear Insights, Katie and Chris review marketing mix modeling, media mixed modeling, and whether Tiktok’s Marketing Mix Modeling study has any insights marketers can learn from. Tune in to find out more! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Need help with ...
- In-Ear Insights: Three Necessities for a New BusinessIn this week’s In-Ear Insights, Katie and Chris explore the three necessities for starting a new business. What three things, if you had to start over from scratch, would you need to make your business successful? You’ll learn what those necessities are, why they matter, and how to apply them to your business, whether it’s ...
- In-Ear Insights: Will AI Make Us Lazy and Stupid?In this week’s In-Ear Insights, Katie and Chris discuss a thought-provoking question raised during a recent talk: Will AI Make Us Lazy and Stupid? Is there a genuine risk with the use of AI? Will it make us lazy and reduce the quality of our work? We explore the impact of AI on human behavior ...
- In-Ear Insights: What is Social Scheduling Software?In this week’s In-Ear Insights, Katie and Chris talk social scheduling software. What is social media scheduling software, how is it different than social media management software, and what are the things to look for when choosing a social scheduling vendor? Tune in to find out! Watch the video here: Can’t see anything? Watch it on YouTube ...
- In-Ear Insights: What Is B2B Influencer Marketing?In this week’s In-Ear Insights, Christopher Penn and Katie Robbert discuss B2B influencer marketing, which is becoming more prominent in the B2B marketing space. B2B influencer marketing is an endorsement where a B2B marketer uses their influence to endorse a product or service because of the reputation they have. Unlike B2C, B2B influencer marketing is ...
- In-Ear Insights: What Is A Large Language Model?In this week’s In-Ear Insights, Katie and Chris answer the big question that people are afraid to ask for fear of looking silly: what IS a large language model? Learn what an LLM is, why LLMs like GPT-4 can do what they do, and how to use them best. Tune in to learn more! Watch the ...
- In-Ear Insights: AI Will Take Your JobIn 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 ChatGPTIn 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 LifecycleIn 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 ExplanationsIn 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 ...
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