--- title: "Collection rates by value or count: why the answers differ" canonical: https://www.billabex.com/en/blog/collection-rate-value-versus-count/ lang: en alternate: https://www.billabex.com/fr/blog/taux-recouvrement-montant-nombre.md updated: 2026-10-15 index: https://www.billabex.com/llms.txt --- # Collection rates by value or count: why the answers differ “We collected 90% of the invoices.” That sounds reassuring until the cash position shows that 91% of the money is still outstanding. Both statements can be correct when a portfolio contains many small invoices and one large receivable. The problem may be an unstated unit of measurement rather than an arithmetic error. A rate by count describes how many cases or invoices reached a defined state. A rate by value describes how much of a reference amount was collected. Publish both when concentration can change the decision. Before setting an ambitious target, specify the numerator, denominator and observation period. For teams managing receivables in France and Europe, the figures should also use a consistent currency and basis. A label such as “collection rate” does not establish that two departments or two software products calculate the same thing. ## Write the question before the formula For a portfolio fixed at a starting date, one operational definition is cash received during the period and allocated to those starting receivables, divided by their opening balance. This measures recovery of that particular stock. Earlier receipts have already reduced the opening balance and must not be counted again. For the count-based rate, specify the qualifying state. In this article, we count invoices whose opening balances were fully covered by receipts during the period, divided by the number of invoices included at the start. A partly paid invoice therefore does not count as fully collected. An indicator measuring invoices that received any payment would use a different definition. These measures are not interchangeable with every percentage displayed by software. Oracle documents a collection effectiveness index involving opening and ending balances, credit sales and current receivables. Its metrics also depend on activity dates and a reporting currency. That is a different framework from our fixed opening portfolio. [Oracle Financials 26B metric definitions](https://docs.oracle.com/en/cloud/saas/financials/26b/faofc/collections-effectiveness-index-metrics.html). ## Ten invoices can reverse the apparent ranking Consider an entirely simulated portfolio of ten invoices open at the starting date: nine invoices of €1,000 and one of €91,000. The total is €100,000. All are overdue and denominated in euros, with no credits, fees, interest or earlier receipts. The outcomes below are alternative scenarios for the same portfolio, not observed results from a commercial experiment. | Outcome at measurement date | Invoices fully collected | Rate by count | Allocated cash | Rate by value | | -------------------------------- | -----------------------: | ------------: | -------------: | ------------: | | All nine small invoices are paid | 9 of 10 | 90% | €9,000 | 9% | | Only the large invoice is paid | 1 of 10 | 10% | €91,000 | 91% | The first scenario removes most open invoice cases. The second delivers much more cash. Calling the first “nine times better” because of the invoice count overlooks the cash objective. Claiming the second resolves all the work overlooks the nine customers still requiring attention. A third scenario shows why partial payments need an explicit definition. Suppose the only receipt is €45,500 against the large invoice. The value-based rate is 45.5%, but no invoice is fully collected, so the count-based rate remains 0%. A metric counting invoices with any receipt would instead show 10%. These figures are consistent when their definitions are visible. The point is not to select the percentage that looks most attractive. It is to see whether work is reducing the number of unresolved items, releasing cash or doing both. ## Keep credit notes separate from cash recovered Receivables can fall because of a payment, a credit note, a correction or a recognised loss. Combining those movements under “cash collected” would suggest that they all increased the bank balance. Correcting a receivable improves the case record, but does not itself create a receipt. The official IAS 7 overview distinguishes cash flows from non-cash adjustments used in the indirect method. That supports the conceptual separation; it does not prescribe one internal collection-rate formula for every small business. [IFRS Foundation overview of IAS 7](https://www.ifrs.org/issued-standards/list-of-standards/ias-7-statement-of-cash-flows/). In a separate variation of our simulation, the nine small invoices are paid and a €1,000 credit note corrects the large invoice. Receivables fall by €10,000, but only €9,000 arrives as cash. Against the €100,000 opening denominator, cash recovery remains 9%. The report explains the €1,000 adjustment separately. If the business also publishes a measure recalculated after correcting the population, disclose the €99,000 denominator: €9,000 divided by €99,000 is approximately 9.09%. Preserving both views avoids silently rewriting the historical result. The method for investigating an [unallocated credit note](https://www.billabex.com/en/blog/unallocated-credit-note-balance-check/) helps establish the origin of such a difference. Make the same distinction for a write-off or an accounting correction. A cleaner ledger is useful, but its benefit should not be presented as money received from a customer. ## Give compared groups equal time to produce an outcome A case assigned yesterday has not had the same opportunity to resolve as one followed for a month. Comparing their rates at one calendar date can rank teams by case age rather than by their actions. Use a common observation window after entry into the measured population and identify cases still in progress. Stripe explains that recent subscription-payment recovery rates can be temporarily lower while retries remain unfinished. Its stated scope also excludes the first invoice payment following a trial. These are product-specific definitions, illustrating why exclusions and measurement maturity matter. [Stripe revenue recovery analytics](https://docs.stripe.com/billing/revenue-recovery/recovery-analytics). In a B2B pilot, also document opening differences in amount, age and dispute status. Choosing a [comparable pilot portfolio](https://www.billabex.com/en/blog/collections-automation-pilot-portfolio/) comes before interpreting the gap. A percentage describes an outcome; it does not by itself demonstrate that automation caused it. Freeze the extraction used for a review, including the measurement date. If a later allocation corrects the result, identify the revision instead of presenting a moving figure as though it had always been known. ## Present a decision the team can check A concise report can show the opening invoice count, opening value, allocated cash, invoices fully collected and separate adjustments. Include the starting and cut-off dates. Someone opening a result should be able to identify the receipts behind it without rebuilding the calculation from scattered messages. If several invoices belong to one customer, keep “invoice” in the metric's label. Switching to a customer-based measure requires a definition of when a customer is considered regularised. Paying one €100 invoice does not close an account that still owes €20,000. The discussion then becomes practical: should the team address many small cases, remove the blockage on the dominant receivable or balance both? Understanding the [cost of a reminder involving several teams](https://www.billabex.com/en/blog/payment-reminder-cost-three-teams/) adds useful context without replacing the need for cash. To connect figures with the cases and exchanges that explain them, explore [Billabex's customer view 360](https://www.billabex.com/en/product/customer-view-360/). During a demonstration, start with a partial receipt and a credit note. Check the available context and the exportable data needed for your own reporting definitions. ## Sources - Oracle Financials 26B, _Collections Effectiveness Index Metrics_. - IFRS Foundation, official IAS 7 overview, About section. - Stripe, _Revenue recovery analytics_, scope, recovery and recent periods. Sources consulted on 7 September 2026.