Is that channel better, or just one big customer?

One whale can drag a channel's average anywhere, which is why ANOVA on money-per-customer misleads. Kruskal-Wallis pools every customer, ranks them, and asks whether the ranks cluster by channel.

Marketing Starter Statistics free

After you install, this is the model to open.

Which Channel Brings the Big Spenders?

  1. In your spreadsheet, click the Sortia icon in the strip of icons down the right-hand edge. No strip? Click the arrow at the bottom-right to open it. You can also use Extensions, then Sortia, then Open Sortia.
  2. Click Start from a template and put that name in the search box.
  3. Pick the card with that name and click Load this template. It arrives on a new tab with real numbers already in it.

The answer

The ranks separate almost perfectly by channel:

H statistic
15.16
p-value
0.0005
Mean ranks
3.5 / 9.5 / 15.5 Email / Social / Search

The middle Search customer is worth about eight Email customers ($915 vs $107.50 at the median), and the clustering is far too clean for luck. Before moving budget, weigh acquisition cost against these medians, not means, for exactly the reason you used this test in the first place.

The model

First-year revenue for six customers from each of Email, Social, and Search. All 18 are ranked together; the H statistic measures how strongly the ranks separate by group.

Emailmedian $107.50
Socialmedian $295
Searchmedian $915, up to $2,100
H and p-valuecalculated

Once it is in your sheet

  1. The model arrives with real numbers in it and runs as it stands, so you can press the button first and understand it second.
  2. Change the numbers to yours. The sheet marks which cells are inputs and which hold formulas, and most labels carry a note explaining the row.
  3. Press the run button at the bottom of the panel. It is labeled for the tool you are in, and the result lands on its own tab, with a written reading of it beside the figures.

Never used Google Sheets? Start here goes the whole way, in seven steps, and assumes nothing.