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 […]
Read More… from {PODCAST} In-Ear Insights: How Important Is Accuracy?
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 […]
Read More… from {PODCAST} In-Ear Insights: What Should My Salary Be?
In this week’s In-Ear Insights, Katie and Chris tackle the question on every advertiser’s mind: how to adapt for the cookieless future? What should we do about the cookieless future? What things should marketers know – what’s going away? What’s still available? What strategies should marketers pursue to no longer rely on third party data […]
Read More… from {PODCAST} In-Ear Insights: How To Adapt For The Cookieless Future
In this episode of In-Ear Insights, Katie and Chris talk about personalization and customization of content. In an era when privacy regulations are throttling data marketers can obtain and the media environment is in total chaos, how do we still manage to customize and personalize? In order to customize your content without data about people, […]
Read More… from {PODCAST} In-Ear Insights: How to Customize Content Without the Data?
In this week’s episode, Katie and Chris tackle news media’s usage of data. Is what you read believable? How would you go about proving it? We examine some recent claims in Bloomberg and Business Insider about racial slurs on Twitter and the process for verifying that claim, extending it to the role data-savvy organizations should […]
Read More… from {PODCAST} In-Ear Insights: Can I Believe What I Read?
In this episode, Katie and Chris discuss the evolution of SEO and where it’s going, where AI and machine learning fit in, and what trends to be aware of as you create content and optimize it for search in 2023. Tune in to learn more! [podcastsponsor] Watch the video here: Can’t see anything? Watch it […]
Read More… from {PODCAST} In-Ear Insights: Do I Need To Be an SEO Expert in 2023?
In this week’s episode, Katie and Chris run through a list of some of their key takeaways from the MarketingProfs B2B Forum 2022 conference. Influencer marketing may be a good way to reach your target audience, as data privacy restrictions make it more difficult to buy lists or use data from social media platforms. The […]
Read More… from {PODCAST} In-Ear Insights: MarketingProfs B2B Forum 2022 Key Takeaways
In this episode of In-Ear Insights, Katie and Chris discuss the sudden re-emergence of people promoting go to market strategy (GTM) and what it means. Why is this suddenly a thing again, when GTM is as old as product marketing itself? Go to market strategy is a subset of marketing strategy that is focused on […]
Read More… from {PODCAST} In-Ear Insights: Go To Market Strategy
In this fireside chat with attorney Ruth Carter, we dig into how copyright law applies to content created by artificial intelligence. Who owns these fabulous works of art generated by systems and models like OpenAI’s DALL-E or Stability.ai’s Stable Diffusion? What about blog content created by tools like GoCharlie or Copy.ai? Watch the interview on […]
Read More… from AI and Copyright Law: How Copyright Applies to AI-Generated Content
In this week’s In-Ear Insights, Katie and Chris tackle how to sell the value of data to stakeholders like the C-Suite. How do you convince people of the merits of data, of investing in data programs and projects, and ultimately to become champions for the analytics work you do? Tune in to find out! [podcastsponsor] […]
Read More… from {PODCAST} In-Ear Insights: Selling The Value of Data To Stakeholders
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