In this episode of In-Ear Insights, Katie and Chris talk about local SEO and the four key sets of local SEO basics – technical SEO, on-site local SEO, content, and off-site local SEO. Learn the basics and what companies local SEO benefits most. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris walk through the (Artificial Intelligence and Machine Learning) AI/ML Lifecycle. When you’re thinking about deploying artificial intelligence and machine learning in your organization, especially for marketing purposes, what are the steps in the process you need to consider? Listen in and discover […]
Read More… from {PODCAST} In-Ear Insights: Exploring the AI/ML Lifecycle
In this episode of In-Ear Insights, Katie and Chris review a Google Analytics Audit case study of a client who was missing attribution data on more than 75% of their website visitors. When your data is that dirty, making good, data-driven decisions is all but impossible. Watch or listen as they talk through what happened […]
Read More… from {PODCAST} In-Ear Insights: Google Analytics Audit Case Study Review
In this episode of In-Ear Insights, Katie and Chris discuss the evolution of the Trust Insights 6C Data Quality Framework into the Data Quality Lifecycle. Learn what the Data Quality Lifecycle is, why it matters, and how to start applying the concept to your own marketing data. [podcastsponsor] Watch the video here: Can’t see anything? […]
Read More… from {PODCAST} In-Ear Insights: The Data Quality Lifecycle
In this week’s In-Ear Insights, Katie and Chris tackle Tiktok. What data is available to marketers and creators? What data is not available by normal means? What kind of analytics does Tiktok provide – and what kind of TikTok analytics do you need to obtain for yourself? Tune in to find out. [podcastsponsor] Watch the […]
Read More… from {PODCAST} In-Ear Insights: Basics of Tiktok Analytics and Tiktok Data
In this week’s In-Ear Insights (the @trustinsights podcast), @katierobbert and @cspenn answer the most common question in our inboxes: what are the 2022 marketing trends we should be paying attention to? Find out why trend spotting is unreliable, what data sources to check for actual trends, and what Katie and Chris think are actual trends […]
Read More… from {PODCAST} In-Ear Insights: 2022 Marketing Trends
In this week’s In-Ear Insights, Katie and Chris answer a question from the MarketingProfs B2B Forum on how YouTube analytics data can be used for B2B marketing – and how YouTube itself fits into your B2B marketing strategy. Watch and listen for tips on how to do YouTube research to inform your YouTube strategy as […]
Read More… from {PODCAST} In-Ear Insights: YouTube Analytics for B2B Marketers
In this week’s In-Ear Insights, we answer a question from Janine about budgeting for a marketing strategy. She asked at a recent webinar who asked how to persuade decision-makers to invest in a more comprehensive marketing program. We talk through some conceptual frameworks to help marketers and executives understand different levels of investment needed to […]
Read More… from {PODCAST} In-Ear Insights: Budgeting Appropriately for Marketing Strategy
In this week’s In-Ear Insights, Katie and Chris answer a very popular question: what do you do when the numbers don’t add up and you have conflicting results? When your Facebook results conflict with the data in Google Analytics, when your CRM doesn’t match your marketing automation, when accounting asks you why your forecasts were […]
Read More… from {PODCAST} In-Ear Insights: Dealing With Conflicting Results in Marketing Analytics
In this episode of In-Ear Insights, Katie and Chris tackle a recent question: “My struggle is how to create connection, emotion and story from highly technical content. Any advice?” They dig into customer behaviors, user stories, and other tips & tricks you can use to lift your technical content up. Tune in to find out […]
Read More… from {PODCAST} In-Ear Insights: Storytelling With Highly Technical Content
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