This cold open was originally featured in the March 10, 2021 newsletter found here: https://www.trustinsights.ai/blog/2021/03/in-the-headlights-march-10-2021-title-case-in-social-posts-becoming-data-driven-ga4-easy-wins/ The First Step To Being Data-Driven Yesterday, I was checking out a discussion thread in Slack (you’ve joined our free community, Analytics for Marketers, yes?) and someone asked the question, does using Title Case (every word capitalized) in social media captions […]
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on Facebook Live or YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this week’s episode of So What? we focus on bringing the data set into machine learning software. We walk through more […]
Read More… from So What? How do I clean and prep my data for analysis – part 3
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on Facebook Live or YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this week’s episode of So What? we focus on prepping your data for analysis. We walk through pulling your planning from […]
Read More… from So What? How do I clean and prep my data for analysis – part 2
I have an updated predictive forecast for Trust Insights with a fresh set of keywords. This forecast tells me when topics that I want Trust Insights to rank for will be trending. This way, I can create content about topics people are looking for when they are looking for it. But I don’t want to […]
In this week’s In-Ear Insights, Katie and Chris discuss a recent consumer data experience with one vendor sharing data to another vendor without the consumer’s active consent. In this show, you’ll learn what active consent is (and why it matters), how to track down the likely vectors of data sharing, and how marketers should think […]
Read More… from {PODCAST} In-Ear Insights: Consumer Data Detectives
In this week’s In-Ear Insights, Katie and Chris look at the upcoming release of hate crime data analysis and broader implications. When data collection is flawed or missing, how do you still make decisions? What do you do when you have to do something because lives are on the line, but you lack enough data? […]
Read More… from {PODCAST} In-Ear Insights: Data-Driven Decisions and Social Good
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
This past week, our CEO Katie Robbert said, “can we be done with the “something about me and tag five people” on twitter thing? it’s really annoying now“. If you’re unfamiliar with the reference, there’s a Twitter meme where you share 5 jobs you’ve held, and then tag 5 people: These memes at first seem […]
Read More… from The Importance of Tag Memes for Understanding Social Networks
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 week’s In-Ear Insights, Katie and Chris address pressing questions about the ethics of marketing analytics, data collection, and consumers’ right to privacy. What should marketers be collecting? What shouldn’t they? What are the implications of unused, personally identifiable information laying around in marketing analytics, marketing automation, and CRM systems? Tune in now to […]
Read More… from {PODCAST} In-Ear Insights: Marketing Analytics, Ethics, and Data Privacy
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