Numbers you can actually quote
Revenue, best sellers, conversion, retention, seasonality, promotions, catalogue hygiene and where orders are stuck — computed once, so two screens never disagree about the same month.
- One definition, everywhere Cancelled and refunded are named.
- It tells you what it excluded Ranked by the measure you asked for.
- Comparable cohorts Runs on the local copy, not the shop.
| Product | Units | Orders | Revenue |
|---|---|---|---|
| Colier argint Delicate 20 Pearls | 40 | 39 | 8,605.67 |
| Sterling Silver Bracelet Summer | 56 | 55 | 7,367.92 |
| Cercei argint Double Glow gold | 28 | 28 | 6,370.10 |
Including the awkward questions
Who writes the most offers and who converts them. Which vouchers cost the most. Which products have no image, no EAN or have not sold in a year. The reports people avoid building because they are tedious.
- Per-salesperson offer and conversion figures
- Catalogue hygiene, with the product list behind each count
- Seasonality across years, month by month
Two reports, two answers, one month
Somebody asks what last month did and there are two numbers, because one screen quietly leaves cancelled orders out and never mentions it. The argument that follows is not about the business. It is about the reports.
The Monday meeting, answered before it starts
Four questions that used to take an afternoon and a spreadsheet.
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1
How did last week go, day by day, against the week before.
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2
What sold most — and separately, what made the most margin.
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3
How many offers we wrote, how many landed, and who wrote them.
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4
What is stuck: orders sitting in a status longer than they should.
More than another dashboard.
Numbers that agree with each other and say what they leave out.
Eleven views, one definition of a sale
- Revenue and orders per day, over any period
- Best sellers by revenue or by units sold
- Where orders sit by status, and how long they have been there
- Quote conversion: written, accepted, and what that was worth
- Per-salesperson figures — offers written and offers won
- Monthly cohorts: do customers come back, and how long each cohort has had
- Seasonality across years, month by month
- Which vouchers were used and what they gave away
- Catalogue hygiene: no image, no EAN, thin description, nothing sold in a year
- Profit with a cost-coverage figure, so you know how much is measured
- Customer segments by lifetime value and order count
- Everything exportable as a spreadsheet
The numbers, as they arrive
Captured from a working instance. The layout and the numbers are real; customer, shop and product names have been replaced with invented ones.
Questions about this
Why do your numbers differ from PrestaShop’s?
Usually because of which order states count as revenue. That is configured once here and applied everywhere, and every figure says what it excluded.
Can I get this into a spreadsheet?
Any list can be exported as a CSV, and the export says plainly when it is a partial one rather than the whole set.
Is the profit figure trustworthy?
It is as trustworthy as your cost data, and it says so: every profit view reports what share of revenue had a real cost behind it rather than an assumed margin.
Ready to see it on your own catalogue?
We set up an instance with your products, your prices and your VAT rates, and walk through it with you.