Sunny asks, “How do you create an argument (using data) that a piece of content is “working”. Is there a go-to formula you can pull to say – yes, kinda/sorta, needs work, or nope?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question…
Summary In today's episode, I walk through three practical formulas for proving with data whether a piece of content is actually working. Here's what this means for you. You gain a clear decision-making framework that ties every page or post to real revenue and conversion impact. You'll also learn these concepts: how a Markov chain…
Tiffany asks, “What are some best practices and templates for reporting out at high-level meetings. Too often analytics can get into the weeds. No one wants that. What metrics should leadership actually care about?”” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question…
Max asks, “Do you think it is possible that AI becomes more advanced to the point where an algorithm or deep learning can develop its own conscious thoughts?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question for You Ask, I’ll Answer? Submit…
Paul asks, “Looking back on the way you learned about AI, is there anything you wish you would’ve figured out first?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question for You Ask, I’ll Answer? Submit it here! Subscribe to my weekly newsletter…
I’d like to introduce you to a concept I haven’t seen anywhere else in the SEO world, something I’ve talked about a few times now on Marketing Over Coffee and the Trust Insights podcast: temporal vectorization. What Is Vectorization? First, a bit of background. Vectorization, in the SEO context, is the process of identifying related…
How much data do you need to effectively do data science and machine learning? The answer to this question depends on what it is you’re trying to do. Are you doing a simple analysis, some exploration to see what you might learn? Are you trying to build a model – a piece of software written…
Summary In today's episode, I walk through how to process unstructured survey data about marketing channels using both Excel and R, then compare those self-reported priorities against actual attribution data. Here's what this means for you. You'll uncover a surprising gap between where marketers say they'll spend their effort and what actually drives conversions, giving…
In the world of data and analytics, anecdotal evidence is often (and correctly) demonized. Why? People in general and marketers in specific mistake anecdotal evidence for quantitative proof, for statistically representative, reliable, and repeatable evidence. Anecdotal evidence is none of those things. It’s one person’s experience, so it’s not representative. Depending on that individual’s perspective…
Ashlee asks, “What are some strategies for increasing first-party data?” Let’s recall that first-party data is data given to us by prospective customers, and comes in two flavors. Passive first-party data is data collected by tools like Google Analytics and our email marketing software – when a user does something, these tools measure the actions…
