ReconciliationTrustLive
The figures are checked,
not asserted.
This product’s whole claim is that its numbers can be trusted, which means the numbers have to be checked against each other. Every load runs the identities that must hold to the cent, the coverage checks that catch a source measuring half a month, and the variances worth naming.
Measured, not estimated EU-hosted Read-only by default
01 / The case for it
A dashboard that is quietly wrong looks exactly like one that is right.
Without it
Every analytics tool prints figures with the same confidence whether or not they add up. If an arithmetic error creeps in, nothing on the screen changes — which is the reason a store owner is right to keep the spreadsheet open beside it.
What Profflow does
The figures are checked against each other, on every load.
The identities that must hold to the cent, the coverage checks that catch a source measuring half a month, and the variances worth naming. A failure is raised as critical and phrased as a fault in Profflow, not as a question about your data.
02 / What it looks like
The figures, checked against each other
CheckDifferenceResult
Revenue − costs = net profit€0Holds to the cent
Ex-VAT revenue + VAT = gross€0Holds to the cent
Payouts + fees = charges€0Holds to the cent
Orders with a measured cost€68Per cent — the rest are flagged, not filled
Days with reported fees€100Per cent of the month
Coverage is reported too: what share of orders carried a measured cost, a measured fee and a known tax treatment, because an identity that holds over half the data has only half held.
Each identity is arithmetic that cannot be argued with: if the parts do not add to the whole, something is wrong and the screen says so instead of rounding it away.
Both identities hold to the cent. If either failed, the top of the screen would say so before it said anything else — because a tool whose arithmetic has broken should stop being confident about the rest of the page.
03 / Worth understanding
Why a product that claims accuracy has to prove it
Trust is a claim until it is checked
This product’s whole argument is that its figures can be relied on. That obliges it to run the checks in public rather than asserting the result, which is what this screen is: the arithmetic that has to hold, and whether it did.
A difference is shown, never absorbed
When an identity fails — a payout that does not match its charges, a cost that appeared after a month closed — the difference is displayed with the rows behind it. Silently adjusting a figure to make a total work is the one thing an accounting tool must never do.
Coverage is part of the answer
An identity that holds across 68% of orders has held across 68% of orders. The share is reported beside the result so a figure is never read as more complete than it is.
04 / What it is built from
Reconciliation is assembled
from accounts you already run.
01Order totals02Refunds03VAT accrued04Cost of goods05Processor fee statements06Settings fee rates
Reconciliation
Identities to the centCoverage checksNamed variancesMeasured against estimated05 / How it is worked out
From the account
to the figure on the screen.
- 01AssertsThe identities: revenue less refunds less VAT, then less every cost, is net profit.
- 02CoversWhether each measurement exists for the whole period it claims to cover.
- 03ComparesTwo legitimate readings of the same quantity, and names the gap.
- 04ReportsA failed identity as critical, and phrased as our fault.
Asked of the figures
How do I know the dashboard is not quietly wrong?
Because it checks itself and shows the working. Revenue less refunds less VAT is €6,344; less goods, fees, ads and fixed costs it is €2,521. If either identity failed, the screen would say so and call it a fault in the product rather than in your store.
How Profflow reasons06 / What it lets you do
What follows
from getting Reconciliation right.
Identities to the cent
If one fails, something in the arithmetic is wrong and every figure is suspect. It is raised as critical rather than smoothed.
Coverage checks
A processor connected halfway through a month measures half of it. A fee total silently covering fifteen days of thirty is worse than an honest estimate covering all of them.
Named variances
The fee rate in Settings against what the processor actually charged — two real measurements that need not agree, with the difference stated.
Measured against estimated
Every figure carries which of the two it is, all the way through the model.
Faults owned
An arithmetic failure is written as a fault in the product, not as a question about your data.
Traceable to rows
Each check opens to the orders and charges it was run over.
07 / How the figure is kept honest
The same four rules,
on every screen.
Profflow observes the accounts it is connected to. It does not write an order, a price, a campaign or a payout back to any of them.
A charge read from an account is labelled measured. Anything modelled — a forecast, a projection, a filled gap — is labelled as such on the screen it appears on.
Follow any number to the dated rows underneath it. A figure nobody can check is a figure nobody acts on.
The product prepares a decision and shows the evidence. Nothing consequential happens until you say so.
Questions
About Reconciliation.
- What happens when a check fails?
- It is shown at the top, marked critical, and phrased as a fault in Profflow. A tool whose arithmetic has broken should say so loudly rather than keep printing figures.
- What is a coverage check?
- It asks whether a measurement exists for the whole period. If a payment processor was connected on the fifteenth, its fees cover half the month, and a total that quietly covers half is more misleading than an estimate that covers all of it.
- Is a variance an error?
- Not necessarily. Two legitimate measurements of the same quantity can disagree — the rate you entered against what was actually charged. The point is that the gap is named rather than averaged away.
- Does this run automatically?
- Yes, on every load, over the period on screen. It is not a report you have to remember to run.
One operating system
The rest of the picture,
one view away.
Each part is useful on its own. Profflow holds them in one model, so a figure here carries the context from everywhere else.
See the whole productSee Reconciliation on your own figures.
This product’s whole claim is that its numbers can be trusted, which means the numbers have to be checked against each other. Every load runs the identities that must hold to the cent, the coverage checks that catch a source measuring half a month, and the variances worth naming.