{PODCAST} In-Ear Insights: Shiny Object Syndrome and Tech Arrogance

{PODCAST} In-Ear Insights: Shiny Object Syndrome and Tech Arrogance

In this week’s In-Ear Insights, Katie and Chris discuss shiny object syndrome, blind spots in your marketing technology (especially around AI and machine learning) and how arrogance can lead to substantial technical problems in your tech stack and company culture. How can you avoid pitfalls and blind spots? How do you manage AI and machine […]

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{PODCAST} In-Ear Insights: Rapid Response Marketing

In this week’s In-Ear Insights, Katie and Chris examine rapid response marketing. How do you react when a major event happens in your market on a very short timeframe? We look at Amazon Prime Day 2020 and how marketers must react on a significant marketing activity in just two weeks. Will marketers make it work? […]

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{PODCAST} In-Ear Insights: Good and Bad Surveys

In this episode of In-Ear Insights, Katie and Chris talk surveying: the good, the bad, the Buzzfeed. Instead of selecting random photos to tell you which Game of Thrones character you are, how do you build credible market research? What are the major biases that will sneak into your research if you’re not careful and […]

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{PODCAST} In-Ear Insights: Marketing Planning for 2021

In this episode of In-Ear Insights, Katie and Chris tackle the task of planning your marketing strategy for 2021. For good or ill, companies are beginning to set marketing strategy and marketing objectives for the year ahead. In an age of complete uncertainty, how do we build a reasonable marketing plan for the year ahead? […]

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{PODCAST} In-Ear Insights: Leadership Models and Roles

In this episode of In-Ear Insights, Katie and Chris discuss leadership: what is it, what models exist for it, and how should we think about it? We discuss the different types of power and what balance we should be seeking while in leadership roles. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on […]

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{PODCAST} In-Ear Insights: Why Consumer Recommendation Engines Fail

In this episode of In-Ear Insights, Chris and special guest John Wall discuss the state of consumer recommendation engines. Why are recommendations so narrow and ineffective many times? What could we do to improve them beyond what we get now? Listen in as we discuss limitations of computational power, algorithm choice, and more. [podcastsponsor] Watch […]

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{PODCAST} In-Ear Insights: Evaluating New Technologies

Based on a question from our analytics community, in this episode of In-Ear Insights, Katie and Chris tackle the challenges of new technology. When a new piece of technology makes a big splash, how do we evaluate it? How should we assess whether it’s right for us, whether it makes sense to pursue it? What […]

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{PODCAST} In-Ear Insights: Audience Demographics and Market Research

In this episode of In-Ear Insights (the @TrustInsights podcast), Katie and Chris discuss generation gaps, audience demographics, and what to do when your analytics indicates you’ve got the wrong audience. How do you conduct market research and then pivot based on the results? Tune in now to find out. [podcastsponsor] Watch the video here: Listen […]

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{PODCAST} In-Ear Insights: Data-Driven Decisions and Social Good

In this week’s In-Ear Insights, Katie and Chris look at the upcoming release of hate crime data analysis and broader implications. When data collection is flawed or missing, how do you still make decisions? What do you do when you have to do something because lives are on the line, but you lack enough data? […]

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{PODCAST} In-Ear Insights: Transparency in Research and Data

In this week’s In-Ear Insights, Katie and Chris discuss the importance of transparency and disclosure in research and data. These are troubled, uncertain times – not for the macro situation, but for our willingness to collectively accept statements of fact without verifying those facts or inspecting the methodology behind a piece of data. They also […]

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