Why your average hides two businesses
My average customer spent $62 a month and not one of them actually did. The chart had a hole exactly where the average sat, and I spent two months building a product to fill it.
My average customer spent $62 a month and not one of them actually did. The chart had a hole exactly where the average sat, and I spent two months building a product to fill it.
A plain-English guide to building a business dashboard a solo operator will actually check every week, instead of one more tab full of charts nobody reads.
A plain-English breakdown of net revenue retention: what it measures, how to calculate it from your own customer base, why crossing 100% matters, and where the number can quietly mislead you.
I told a partner I had 412 customers. Reading the list by hand put the real figure near 340, and the 72 rows in between had been quietly deflating every per customer number I owned.
What activation rate measures, why the aha moment matters more than early retention, and how to define, calculate, and improve your own activation event.
Why small business data quietly goes bad, the five ways it drifts from reality, and the habits that let a one-person business actually trust its own numbers.
I ended a free shipping banner test on day six with fourteen orders behind it and called it a nine percent lift. Checking a running test is itself a decision, and the rule ‘stop when it looks good’ can only ever finish one way.
A plain-English look at marketing attribution: what it is, why the common models disagree, and how a small business can use them without fooling itself.
A plain-English guide to RFM analysis: how to score customers on recency, frequency, and monetary value using nothing but a spreadsheet and your own order history.
Analytics said 41 sales, the processor said 38, the ad platform claimed 52. All three were correct, and the Saturday afternoon I spent deciding which one to believe cost more than the gap was worth.