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
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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
- {PODCAST} In-Ear Insights: Preparing for the MetaverseIn this week’s episode, John and Chris talk about practical steps all marketers can take to prepare for one or more metaverses succeeding in a few years. What things should you be doing today? What foundation pieces should you have in place over the next few years? And what’s a safe bet whether or not ...
- {PODCAST} In-Ear Insights: Predictive Analytics and Trend ForecastingIn this week’s episode, Katie and Chris look at the use of predictive analytics to forecast trends and learn when to put marketing campaigns into market. They examine some of the data around pumpkin spice season as well as other seasonal trends. Ever wonder when the best time is to put a seasonal campaign into ...
- {PODCAST} In-Ear Insights: Attitude and Aptitude in HiringIn this week’s episode, Katie and Chris tackle the question of how to determine if someone has a good attitude and aptitude for marketing, business, or any professional even if they don’t have professional experience. The labor market is constrained for “hit the ground running” candidates, but the actual labor pool is much, much larger ...
- {PODCAST} In-Ear Insights: What is Big Data Analytics?In this week’s episode, Katie and Chris walk through what big data analytics are. What criteria separates regular data and big data? What are the four Vs of big data? How do big data analytics play a role in marketing analytics? Why don’t more marketers use big data and big data analytics to improve marketing? ...
- {PODCAST} In-Ear Insights: Marketing Measurement StrategyIn this week’s episode, Katie and Chris talk about marketing measurement strategy. What is measurement strategy in the context of marketing? Why do so many marketers and especially consultancies and agencies mix up strategy, tactics, and execution when it comes to measurement? How should you think about your measurement strategy? Tune in to find out! Watch ...
- {PODCAST} In-Ear Insights: Diminishing Returns in SEOIn this week’s episode, Katie and Chris talk SEO and how to deal with diminishing returns in SEO. What should you do when your efforts aren’t yielding as much juice for the squeeze? How should you balance pillar content? What’s the role of content recycling? Tune in to find out the answers to these questions ...
- {PODCAST} In-Ear Insights: Content Marketing Trends (2022)In this episode, John and Chris discuss a roundup of the most commonly identified content marketing trends. Which trends are real, actual trends and which trends are simply recycled advice? What are the trends marketers are not paying attention to? Tune in to find out! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen ...
- {PODCAST} In-Ear Insights: Personal Brand Building ConsiderationsIn this episode, Katie and Chris discuss personal branding considerations and challenge the notion of what a personal brand is. Do you have to be the loudest person in the room? How do you build a personal brand without being perceived as arrogant and full of yourself? Tune in to find out! Watch the video here: Can’t ...
- {PODCAST} In-Ear Insights: Increasing the Value of AnalyticsAnalytics is inherently rearward-looking, looking at what happened. Yet if we want to increase the value and impact of analytics, we have to look forward, to help plan. How do we do this? In this episode, learn 3 different approaches for improving the value of analytics. Watch the video here: Can’t see anything? Watch it on YouTube ...
- Podcasting landscape overviewThis data was originally featured in the January 13, 2021 newsletter found here: https://www.trustinsights.ai/blog/2021/01/in-the-headlights-january-13-2021-marketing-in-crisis-podcasting/ In this week’s Rear View Mirror, we fielded a question about the overall podcasting landscape from our Slack group, Analytics for Marketers, so we decided to dig deep into podcasting since everyone and their cousin seems to have one these days. First, let’s ...
- {PODCAST} In-Ear Insights: The Value of Professional CertificationsIn this week’s In-Ear Insights, Katie and Chris discuss the value of professional certifications. What are certifications like Google Analytics IQ, Hubspot Academy, Udemy, Coursera, and LinkedIn Skill Tests worth? Do they help you get hired? What do hiring managers think of them? Tune in to find out! Watch the video here: Can’t see anything? Watch it ...
- {PODCAST} In-Ear Insights: How Much Marketing Technology is Too Much?In this week’s In-Ear Insights, Katie and Chris talk through some of the latest data in marketing technology from Scott Brinker’s MarTech 9000. How much marketing technology is too much? Do we really need hundreds of options for CRM software? What lessons should we take from all this data. Tune in to find out! Watch the ...
- {PODCAST} In-Ear Insights: When Metrics Go The Wrong WayIn this week’s In-Ear Insights, Katie and Chris discuss what to do when your metrics and KPIs go the wrong way. How do you diagnose your marketing operations and prioritize what to fix? What things are a waste of time? Tune in to find out! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen ...
- {PODCAST} In-Ear Insights: Understanding Server-Side TaggingIn this week’s In-Ear Insights, Katie and Chris review the basics of what server-side tagging is, why it’s important, and how it works. Using Google Tag Manager’s server-side edition as the example, we look at why companies like Facebook are pushing it so much, and what benefits – and hurdles – server-side tagging presents. Tune ...
- {PODCAST} In-Ear Insights: The Power and Danger of Recommendation EnginesIn this week’s episode, Katie and Chris discuss recommendation engines. These seemingly straightforward pieces of technology control enormous aspects of our daily lives, from what we buy to what news we’re exposed to. How should your marketing strategy incorporate recommendation engines, and how do you know when recommendation engines are at work? Tune in to ...
- {PODCAST} In-Ear Insights: Artificial Intelligence and Corporate CultureIn this week’s In-Ear Insights, Katie and Chris discuss how artificial intelligence impacts corporate culture and vice versa. Learn about the two different types of organizations, use cases for AI in corporate management, and the hidden danger of AI and institutional knowledge in your corporation. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen ...
- {PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?In this week’s In-Ear Insights, Katie and Chris discuss whether AI and machine learning will imperil the career of the data scientist. What is data science, and how much of it can be automated and handled by machines? Tune in to find out. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the ...
- {PODCAST} In-Ear Insights: The Value of Brand AwarenessIn this week’s In-Ear Insights, Katie and Chris answer a listener question about proving the value of brand awareness. Sophie asks, “Our marketing strategy as a young startup is to drive sales, to try and make money. But how does brand awareness affect that? I could just run lead generation ads to try and get people ...
- {PODCAST} In-Ear Insights: Challenging Marketing Best PracticesIn this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris talk about questioning and challenging marketing best practices. From the best times to send emails to how much curated content you should share on social media, sacred cows are on the table. Tune in to find out what other marketing best practices ...
- {PODCAST} In-Ear Insights: Organizational Change and the Great ResignationIn this episode of In-Ear Insights, Katie and Chris discuss the impact of the Great Resignation on organizations and how marketers should be thinking about preserving institutional knowledge. How do you anticipate and protect your organization from unexpected (or expected) departures, ensuring you can still meet your goals and create the kind of impact you ...
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