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…
Summary In today's episode, I walk through how to build your own benchmark to evaluate generative AI models for your specific use cases. Here's what this means for you. You can move beyond generic public benchmarks and test whether new models actually fit the tasks you care about most. You'll also learn these concepts: how…
Summary In today's episode, I walk through the three questions every great analytics report should answer, no matter your industry or role. Here's what this means for you. You can stop creating data-vomit reports and start producing reports that actually drive decisions and next steps in your organization. You'll also learn these concepts: why the…
Summary In today's episode, I explain why you cannot measure generative AI optimization by showing how tokenization makes nearly identical prompts produce wildly different results. Here's what this means for you. You save money and avoid snake-oil vendors because tiny wording changes create different AI outputs, so no one can honestly benchmark your brand's strength…
Summary In today's episode, I answer a listener's question about how to demonstrate the ROI of AI when you only have time savings to show for it. Here's what this means for you. You can translate time saved into real monetary value by applying your effective hourly rate and then plugging those numbers into a…
Summary In today's episode, I break down why synthetic AI benchmarks fall short and how you can build your own custom benchmark tests to evaluate AI tools honestly. Here's what this means for you. You'll stop taking vendor hype at face value and start measuring AI against the specific tasks you actually need it to…
Summary In today's episode, I explore why business data is often wrong and how to tell whether that wrongness stays consistent enough to trust. Here's what this means for you. You gain a practical framework for diagnosing your analytics data and deciding whether you can still rely on it for forecasting. You'll also learn these…
Summary In today's episode, I walk through Matomo Analytics as a privacy-friendly alternative to Google Analytics 4 and explain how to set it up in parallel with your existing analytics. Here's what this means for you. You'll gain a simpler, directionally accurate way to answer basic website questions without battling GA4's complex interface. You'll also…
Summary In today's episode, I walk through Google Analytics 4 audit basics, covering which data to inspect in the admin, how to interpret core metrics like channel groupings and source/medium reports, and best practices for judging the health of your install. Here's what this means for you. You'll get a practical framework for catching tracking…
Summary In today's episode, I walk through how to interpret customer satisfaction score data, especially Net Promoter Scores, covering what they are, how to compute them in tools like Google Analytics 4, and what action steps to actually take with the results. Here's what this means for you. You gain a practical framework for collecting,…
