% Customers
How many of your buyers this row represents, as a share of everyone who bought.
What it means
% Customers is the share of your total customers that sit in one row of the Customer Type table, as a percentage. It counts people, not orders and not euros — one buyer who placed six orders counts once here, exactly like a buyer who placed one.
The rows split your buyers into first-time and returning, and the column adds to 100% down the table. On its own it tells you how many people a segment holds. Next to the money columns on the same row, it tells you what those people are worth.
Show the math
Formula and a worked example
% Customers = Customers in this segment ÷ Total customers, for the selected period.
Both counts are people who bought inside the date range. Someone who bought last year and not this month is in neither.
Worked example. 1,000 customers bought in March. 250 of them were returning buyers, so the returning row reads 250 ÷ 1,000 = 25%, and the first-time row reads 75%.
Now read across that same returning row. Those 250 people placed 400 of the month's 1,200 orders, so % Orders% OrdersHelps compare usage intensity between segments. is 33%. They spent €60,000 of the €150,000 total, so % Total Sales% Total SalesShows how important this segment is to overall revenue. is 40%. A quarter of the people, two fifths of the money — and the gap between 25% and 40% is the entire reason to read this column.
It answers the question
How many actual people are behind this row? It's the headcount that turns every other percentage on the row from a statistic into a rate per customer.
Why it matters
Every other share on this table is money or orders, and both are dominated by your heaviest buyers. This is the one column measured in people, so it's the only one that tells you whether a segment is a crowd or a handful.
That makes it the denominator for the judgement that matters. A segment holding 25% of your customers and 40% of your revenue contains people worth more than average, and it deserves budget. A segment holding 60% of customers and 30% of revenue is where most of your buyers live and most of your value doesn't.
It's also a mix number, so it moves without anyone leaving. Win a wave of new buyers and the first-time share rises while the returning count is untouched. Read it against the customer counts, not on its own.
What good looks like
No published bands here, and there couldn't be a universal one — the split you want depends entirely on whether you're growing hard or defending a base. A shop in its first year should be dominated by first-time buyers. A subscription-shaped catalogue that still is has a retention problem.
Judge it two ways instead. First, against your own months: a returning share drifting down across a quarter means acquisition is outrunning retention, whatever the totals say. Second, against the money columns on the same row. The reading that always means something is a segment whose % Customers sits well below its % Total Sales — those are your most valuable people, and they're usually the ones getting the least attention.
Remember the column can only ever describe the buyers you had. A quiet month with 200 customers gives percentages as confident-looking as a month with 5,000 and far less to stand on.
How to improve it
| Lever | What you do | Expect | How long | Watch out for |
|---|---|---|---|---|
| Fast Bring the last quarter's buyers back | Email the people who bought once and haven't returned, with the product they'd logically buy next | The returning share rises without a single new customer | 2–6 weeks | A win-back offer lands in the same row's % Discounts column. Check what the extra orders cost you in margin before repeating it. |
| Fast Read the gap before you act on the share | Compare each row's % Customers with its % Total Sales on the same line | No change to the number, and a better decision about it | Immediate | This is a reading, not a fix, and it needs a month with enough buyers in it to mean anything. |
| Slow Accept that acquisition moves it the other way | Expect the first-time share to climb in any period you push new-customer marketing hard | A falling returning share during a strong growth quarter | 1 quarter | Judging retention on this column during an acquisition push reads as failure when nothing was lost. Use the customer counts to check. |
Every lever costs something somewhere. The last column is the one to read twice.
Read it with
People, orders and money are three different shares of the same row. The distance between them is the finding.
Headcount against revenue. When a row's revenue share runs well above its customer share, the people in it are worth more than average and worth protecting. When it runs below, you have volume without value. The two together are what makes a segment worth spending on; either alone just describes its size.
The gap between them is repeat rate in disguise. Equal shares mean roughly one order each. An order share meaningfully above the customer share means those buyers came back inside the period — which is a different, and better, fact than a large segment.
Common misreads
It's a share, so it falls whenever the other segment grows faster. The count in that row can rise every month while this percentage drops. Read the customer numbers beside it before treating a fall as a loss.
Check its revenue share first. A fifth of your buyers can easily be half your revenue, and cutting attention to that row on headcount alone is the most expensive mistake this table invites.
They only match if every customer placed exactly one order. One counts people and the other counts purchases, and where they diverge is precisely where the useful information is.
Also called
Customer share · share of buyers · segment size
See yoursThe Customer Type table, with each segment's share of buyers beside its share of orders, sales and discounts.
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