Fallback category for posts that have not yet been assigned to a primary topical category.
A plain-English guide to spotting real anomalies in small business datasets, where standard deviation lies, seasonality fools you, and judgment still beats the algorithm.
A plain-English guide to using published SaaS benchmarks without misreading them, from someone who checks these numbers against his own business every month.
An average customer value can look healthy while your best and worst customers pull in opposite directions. Here is how to check what an average is hiding.
A plain-English walkthrough of unit economics: what CAC, CLV, contribution margin, and payback period actually measure, and where each one runs out of road.
Why the chi squared test gets unreliable once your sample sizes are small, and what a solo operator should run instead when testing things like email variants or segment differences.
Most people only check the top and bottom of a funnel. Here’s how to find and think about a drop-off that happens in the middle, where it’s easiest to miss.
A plain English guide to p values for solo business owners: what a p value measures, why 0.05 is a convention not a law, and the mistakes that turn a passing test into a bad decision.
A plain-English guide to weighted averages: what they are, when they beat a simple average, and how to use them honestly for churn, MRR, and conversion numbers.
A plain-English guide to customer segmentation that starts with the data you already have, not with personas you made up. Includes RFM, value-based, and behavioral approaches a solo operator can actually run.
A plain-English method for finding where your funnel loses people, separating real problems from normal attrition, and deciding what to fix first.