In this week’s In-Ear Insights (the Trust Insights podcast), we conclude our series of interviews with successful agency owners. We talk with Gini Dietrich. Gini Dietrich is the founder, CEO, and author of Spin Sucks, host of the Spin Sucks podcast, and author of Spin Sucks. She has run and grown an agency for the […]
Read More… from {PODCAST} In-Ear Insights: Client Retention with Gini Dietrich
In this week’s In-Ear Insights, we continue our exploration of client retention strategies in the current global crisis. Katie and Chris chat with Brooke Sellas, founder and CEO of B-Squared Media, on her best tips for client retention and loyalty. She delivers insights about which industries are doing more with digital marketing, how she manages […]
Read More… from {PODCAST} In-Ear Insights: Client Retention with Brooke Sellas
In this week’s In-Ear Insights, we continue our focus on client retention with our guest Jay Baer. Join Katie and Chris, along with Jay, as they talk about client retention, what expectations to set, a farming strategy for clients and goodwill, how this crisis is different from the Great Recession, and much more. Learn more […]
Read More… from {PODCAST} In-Ear Insights: Client Retention with Jay Baer
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris talk to fellow agency owner and marketing superstar Mitch Joel. Mitch dishes on what agencies should be doing to retain clients, keep business, and move forward during a global crisis. You’ll learn some of his favorite tips, how to think about your […]
Read More… from {PODCAST} In-Ear Insights: Client Retention with Mitch Joel
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss SEO analytics. SEO is a marketing discipline crammed with data, but what data matters? What data is reliable? Listen in as they discuss common SEO metrics, what SEO data matters to business impact, and how to build an SEO analytics dashboard […]
In this week’s In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss early warning systems. When looking at your analytics, what metrics constitute leading, realtime, or lagging indicators, and how should you think about using them to determine when trouble is brewing? Learn about what exponential math is, how it factors into trend detection, […]
Read More… from {PODCAST} In-Ear Insights: Early Warning Systems for Marketing Analytics
In this episode, Katie and Chris discuss preparing your career for an economic downturn with advice appropriate for the present day and yet-to-be-seen scenarios. From skills and certifications to building a personal brand to how to pitch people, get practical advice for making it through a financial crisis, global recession, or other unforeseen circumstances. [podcastsponsor] […]
Read More… from {PODCAST} In-Ear Insights: Preparing Your Career For An Economic Downturn
In this episode of In-Ear Insights, Katie and Chris respond to a listener question: how valid are predictive analytics forecasts when you’re in the middle of massively unpredictable events? How do you deal with the anomalies of a black swan event, and how do you tell the difference between an anomaly and a breakout (continuing […]
Read More… from {PODCAST} In-Ear Insights: Predictive Analytics for Unpredictable Events
In this week’s In-Ear Insights, Katie and Chris answer a mailbag question from Denise: “My question is about UX copywriting. Other than using a service like “crystalknows.com,” how do I know which words and phrases influence a specific buyer persona? Which words or CTAs influence a 35-year-old CTO male who makes craft beers on the […]
Read More… from {PODCAST} In-Ear Insights: Data-Driven B2B Marketing Personas
In this episode of In-Ear Insights, Katie and Chris discuss whether or not you need data science skills to be an effective marketer. Find out the answer, plus why machines won’t be taking your job any time soon, as well as some helpful tips for growing your marketing analytics skills. Mentioned in the show: Hugging […]
Read More… from {PODCAST} In-Ear Insights: Should You Be a Data Scientist?
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