In-Ear Insights Predictive Analytics and Reducing Churn

In-Ear Insights: Predictive Analytics and Reducing Churn

In this week’s In-Ear Insights, Katie and Chris discuss predictive analytics and applying it to reducing churn throughout the customer journey. Learn what types of predictive analytics apply, how generative AI fits in the mix, and steps you can take to reduce churn. Watch the video here: Can’t see anything? Watch it on YouTube here. […]

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So What? Updating your Media Kit

So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode!   In this week’s episode of So What? Updating your media kit! We’ll discuss the basics of a media kit, why they’re important, the […]

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INBOX INSIGHTS, March 6, 2024: Ideal Customer Profiles, GA4 Generative AI

INBOX INSIGHTS: Ideal Customer Profiles, GA4 Generative AI (3/6) :: View in browser 👉 Missed our last Intro to Generative AI webinar? Catch the next one for free on March 19. Register here! Using Generative AI to Build Your Ideal Customer Profile (ICP) My brain is buzzing and my head is spinning. Chris and I […]

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In-Ear Insights Generative AI And Lead Generation

In-Ear Insights: Generative AI And Lead Generation

In this week’s In-Ear Insights, Katie and Chris examine the use of generative AI and lead generation. How do you use generative AI to improve lead generation? How do you build an ideal customer profile with generative AI? Tune in for step by step details! Watch the video here: Can’t see anything? Watch it on […]

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INBOX INSIGHTS, February 28, 2024: User Stories Deep Dive, GA4 Diagnostics

INBOX INSIGHTS: User Stories Deep Dive, GA4 Diagnostics (2/28) :: View in browser 👉 Missed our last Intro to Generative AI webinar? Catch the next one for free on March 19. Register here! User Stories Deep Dive If you’re new to Trust Insights, welcome! User Stories are one of my favorite forms of communication. If […]

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In-Ear Insights: Lessons Learned from Social Media Marketing World 2024

In-Ear Insights: Lessons Learned from Social Media Marketing World 2024

In this week’s In-Ear Insights, Katie and Chris reflect on lessons learned from Social Media Marketing World 2024. With generative AI taking center stage both literally and figuratively, what does that mean for social media marketers? Tune in to find out! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to […]

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In-Ear Insights Predictive Analytics If You're Data-Poor

In-Ear Insights: Predictive Analytics If You’re Data-Poor

In this week’s In-Ear Insights, Katie and Chris discuss how to do practices like predictive analytics and classical AI/machine learning when you’re data-poor. What data is available to forecast and work with? How do you create data when you don’t have it, and what strategic advantage might this confer? Tune in to find out! Watch […]

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In-Ear Insights Generative AI Impact on Search Engine Marketing

In-Ear Insights: Generative AI Impact on Search Engine Marketing

In this week’s In-Ear Insights, Katie and Chris discuss generative AI impact on search engine marketing. What is​ the impact of services like ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot on traditional SEO and search? Tune in to find out, and what steps you should take to prepare for the future. Watch the video here: […]

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So What? Generative AI and Photoshop

So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this week’s episode of So What? we look into Generative AI, Photoshop prompts, and the basics of photoshop as a whole. Catch the […]

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INBOX INSIGHTS, February 7, 2024: Building Requirements with AI, GA4 Diagnostics

INBOX INSIGHTS: Building Requirements with AI, GA4 Diagnostics (2/7) :: View in browser 👉 Take our new Generative AI for Marketers course! Using Generative AI to Build Requirements When I was a project manager overseeing developers, our biggest struggle was agreeing on the level of detail needed for requirements. It was a constant source of […]

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