Summary In today's episode, I explain how to build repeatable and programmable workflows to stop agentic AI from repeating errors. Here's what this means for you. You gain reliable AI agents by establishing clear and measurable success metrics. You'll also learn these concepts: why clear outcomes prevent underperformance, how memory files improve guidance, and how…
Summary In today's episode, I explore how the dimensions of quality, speed, and cost determine your job security in the age of AI. Here's what this means for you. You can proactively assess your career longevity by measuring your professional performance against these three metrics. You'll also learn these concepts: how the delegation line functions,…
Summary In today's episode, I explain how to identify meaningful KPIs within a non-linear customer journey. Here's what this means for you. You can replace stakeholder guesswork with statistical evidence to pinpoint the drivers of your business growth. You'll also learn these concepts: why revenue-based metrics serve as your primary KPIs, how to use tools…
Summary In today's episode, I evaluate how impressions function as a marketing performance metric. Here's what this means for you. You can distinguish between meaningful data and mere vanity metrics. You'll also learn these concepts: why non-zero metrics matter for funnel health, the difference between rendering an ad and making a real impression, and how…
Summary In today's episode, I explain how to identify and discount automated link clicks and opens in your email marketing metrics. Here's what this means for you. You gain much more accurate reporting by distinguishing between real human engagement and bot activity. You'll also learn these concepts: why security systems skew your data, how to…
Summary In today's episode, I explain why email click metrics often differ from Google Analytics page views. Here's what this means for you. You can stop chasing perfect data matches and instead focus on meaningful trends in your marketing performance. You'll also learn these concepts: why corporate security firewalls inflate click counts, how ad blockers…
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…
Allie asks, “Do you have any tips for sharing marketing results like social media and email marketing analytics to a non-tech-savvy staff?” Most staff in an organization aren’t going to be interested in marketing results unless they work in marketing. Instead, they’re going to want organizational results, so connecting the dots between marketing’s outcomes and…
Jen asks, “What are some solid KPIs that you will be looking for next year?” Recall that our definition of a KPI is any metric for which you either get a bonus or fired. This poses a quandary for marketers responsible for brand, since brand tends to be one of the least well-measured metrics a…
