Summary In today's episode, I walk through how to chip away at building a data-driven SWOT analysis on a small team that lacks key data skills. Here's what this means for you. You gain a practical starting framework for turning limited resources into actionable competitive intelligence. You'll also learn these concepts: how to identify which…
Kat asks, “we hear all the time that when a company has a public misstep, that they will face impact them negatively, but there’s never been any type of relevant study that dives into this topic of social/digital reviews and brand impact/stock price/revenue. Have you seen anything?” The challenge with using any public form of…
Summary In today's episode, I compare Slack and Discord communities using inbound link data from SEO software. Here's what this means for you. You'll discover which platform suits your marketing audience based on community size, growth, and topical focus. You'll also learn these concepts: how code reusability speeds up analysis across datasets, why Discord's pandemic-era…
John asks, “If the customer journey is different for every person, why bother trying to map it?” The presumption is that the customer journey is a wide open field of possibilities, when it’s more like a densely wooded forest. There are a limited number of rational pathways to conversion, and mapping both the probability and…
Summary In today's episode, I break down how to choose the right landing page platform for a short-term client campaign and why you may not need a separate tool at all. Here's what this means for you. You'll save money and avoid analytics headaches by leveraging your existing website, CMS, or marketing automation software instead…
Summary In today's episode, I walk through how to use SEO backlink data and R to uncover and analyze tens of thousands of public Slack communities for influencer marketing. Here's what this means for you. You'll gain a repeatable method for finding influential online communities where your target audience actually gathers, even without a Slack…
Jen asks, “How can brands find out which kind of Facebook Ads work best for them?” One way to approach this problem is with large scale data analysis. In your industry, gather up a list of Facebook Pages and use any service which can address the Facebook API like Facebook’s Crowdtangle, then filter to only…
Summary In today's episode, I explain how brands can use large-scale data analysis to figure out which Facebook ads actually work in their industry. Here's what this means for you. You can stop guessing about ad creative and instead mine competitor posts, tag them for themes, and test data-driven variations against your normal ads. You'll…
Wanda asks, “How do I know if my A/B test is statistically significant?” Statistical significance requires understanding two important things: first, is there a difference that’s meaningful (as opposed to random noise) in your results, and second, is your result set large enough? Watch the video for a short walkthrough. Can’t see anything? Watch it…
Summary In today's episode, I walk through how to determine whether your A/B test results are truly meaningful or simply random chance. Here's what this means for you. You gain a clear two-step framework for validating any test before making business decisions on it. You'll also learn these concepts: how a proportion test reveals whether…
