A free diagnostic

The Funnel Diagnostic

Find where the funnel actually breaks, whether you have enough data to say so, and whether the drop you are looking at is a real drop or a deal that has not closed yet.

Put in the counts from one period. Save it, come back next week, and the tool will tell you which movements are real and which are noise. Nothing you type leaves your browser.

The period

One window, one motion. The window length matters more than people expect, and the timing card further down explains why.

The stages

Top to bottom, with the count that reached each one. Rename them to whatever your team actually says. Typical lag is how long it usually takes someone to get from the stage above to this one.

The picture

Volume on the left, so you can see the collapse. Conversion on the right, so you can compare the junctions to each other. The pale bar behind each rate is the range the number could honestly be.

Carried on Lost at this step The constraint Too thin to read

Step by step

Each rate with its uncertainty. A rate computed on a handful of conversions is a guess wearing a percentage sign, so the range matters more than the number.

Timing and lag

The question this answers: an email goes out in January and the reply lands in March. Which month owns that reply, and what does it do to the rate you are reading?

The two ways to count, and what each one breaks

Cohort basis. You take everyone who entered the funnel in the window and follow them wherever they end up, even if that is months later. January's email and March's reply both belong to January, because January is when the cohort started. The rate is then honest about who those people were, but it is only finished once enough time has passed. Ask a cohort about closed-won six weeks after it entered, when deals take three months, and you will read a low number that is mostly just youth.

Period basis. You count every event that happened inside the window, no matter when the person entered. March's reply belongs to March. Nothing is unfinished, so the numbers settle immediately. The cost is that the numerator and the denominator describe different groups of people. If volume at the top is growing, the bottom rate is divided by a top that has swollen since those deals started, and it reads worse than reality. If volume is shrinking, it flatters you.

Neither is wrong. Pick one, write down which, and never compare two periods counted different ways. Most arguments about a conversion rate turn out to be two people using different bases and neither of them saying so.

Benchmarks

A benchmark is only useful if it was measured the way you measured. That rules out most of them, which is why this offers three and puts the weakest one last.

Saved periods

Save this week or this month, change something, and save again. The comparison above then tells you whether a move is real or whether you are reading noise and calling it a lesson.

Show it as text

If the constraint is not where you expected

That is the normal result, and it usually means a definition somewhere upstream is doing something you did not intend. Working out which one is the sort of thing the practice does.

Talk to Harri