Can your marketing be effective without data? Yes, absolutely. Marketing has been around for hundreds of years. Modern marketing certainly has been around for decades. Technically, marketing started when the first store was invented, when a merchant was shouting out his wares to the passers-by. Marketing has functioned without data analysis capabilities for a very […]
Read More… from Marketing Insights Q&A: Marketing without Data
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 […]
Read More… from {PODCAST} In-Ear Insights: Good and Bad Surveys
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? […]
Read More… from {PODCAST} In-Ear Insights: Marketing Planning for 2021
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 […]
Read More… from {PODCAST} In-Ear Insights: Leadership Models and Roles
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 […]
Read More… from {PODCAST} In-Ear Insights: Why Consumer Recommendation Engines Fail
In this week’s In-Ear Insights, Katie and Chris discuss what happens when algorithm choices go wrong. What happens when junior or naive AI engineers or data scientists make bad choices for algorithms. Using an example from a writing analysis website, we discuss what went wrong, what an appropriate choice should have been, and why it’s […]
Read More… from {PODCAST} In-Ear Insights: When Algorithm Choices Go Wrong
In this episode of In-Ear Insights, Katie and Chris tackle the sorry state of digital advertising, and advertising in general. Why is advertising so terrible? Are companies and marketers focused on the wrong metrics? What are we doing with the data we collect, and could we be doing something different and better with it? Find […]
Read More… from {PODCAST} In-Ear Insights: The Sorry State of Advertising
In this week’s In-Ear Insights, Katie and Chris discuss the current state of AI deployment. Companies are rushing ahead to put models and algorithms into action with little to no due diligence, and the consequences can be disastrous. Should AI adopt a practice similar to clinical trials, where a model must prove that it causes […]
Read More… from {PODCAST} In-Ear Insights: Should AI Adopt a Clinical Trials Process?
In this week’s In-Ear Insights, Katie and Chris discuss what to do with an analytics or data science project goes off the rails. How soon should you call a marketing analytics project a failure? What do you do once it’s clear a data research project isn’t going to meet its goals or produce anything useful? […]
Read More… from {PODCAST} In-Ear Insights: Dealing With Failed Analytics Projects
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 […]
Read More… from {PODCAST} In-Ear Insights: Evaluating New Technologies
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