Lesson 18 of 20

Key Performance Indicators for Credit Control

The metrics that tell you whether your credit control is working — and how to calculate and use them.

What you'll learn

  • Which KPIs matter most for credit control
  • How to calculate DSO and what a good number looks like
  • How to read an ageing profile and what it tells you
  • What a bad-debt rate tells you and how to trend it
  • How to use KPIs to improve policy, not just measure performance

Why KPIs matter in credit control

Credit control without measurement is management by intuition. You may know that some debts are slow, that certain customers are always late, and that bad debts happen from time to time — but without consistent measurement, you cannot tell whether things are improving or deteriorating, whether a change in policy is working, or where to direct your attention first.

The KPIs in this lesson are the standard measures used in accounts receivable management. They are not complicated to calculate, and most accounting software can generate the underlying data automatically. The discipline is in reviewing them regularly and using them to inform decisions.

DSO — Days Sales Outstanding

DSO is the most important single metric for credit control. It tells you, on average, how many days it takes to collect your accounts receivable from the point of invoicing.

Formula: DSO = (accounts receivable balance ÷ total credit sales) × number of days in the period.

For example: if your AR balance at the end of the quarter is $120,000, and your credit sales over that 90-day quarter were $360,000, your DSO is ($120,000 ÷ $360,000) × 90 = 30 days.

Interpreting the result: compare your DSO to your stated payment terms. If your terms are Net 30 and your DSO is 30, you are collecting on time — your credit control is working well. If your terms are Net 30 and your DSO is 55, you are extending an average of 25 days of free credit beyond your terms — a direct cost to your working capital. If your terms are Net 14 and your DSO is 45, you have a significant collection problem that warrants immediate attention.

Track DSO monthly and plot it over time. A rising DSO trend — even a gradual one — is a leading indicator that collection is slipping. It will show up in DSO before it shows up in individual bad debts. Act on a rising trend early, before it becomes a write-off problem.

Ageing profile

The ageing profile organises your accounts receivable balance into time buckets based on how long each invoice has been outstanding: current (not yet due), 1–30 days overdue, 31–60 days overdue, 61–90 days overdue, and 90+ days overdue. Express each bucket as both a dollar amount and as a percentage of the total AR balance.

A healthy profile in a well-run credit business looks like this: the large majority of AR (commonly more than 75%) sits in the current or 1–30 day bucket; a small proportion (commonly under 10%) is in the 31–60 day bucket; very little (under 5%) is in the 61–90 day bucket; and anything in the 90+ bucket is actively being pursued or provisioned.

Warning signs: more than 15% of your AR is in the 61–90 day or older brackets; the 90+ bucket contains amounts that are not on an active recovery path; the overall profile is trending older month on month. These signals mean your collection cadence is not keeping pace with your invoicing.

Review the ageing report weekly, not monthly. Problems that appear as a small blip in week one become significant concentrations by week four if not acted on promptly.

Collection rate

Collection rate measures the percentage of invoiced amounts that are actually collected within a defined period. The definition of the period matters — a 90-day collection rate tells you what proportion of invoices raised in the last 90 days has been paid, while a 12-month rate gives you a longer-term view of overall collectability.

A simple example: $1,000,000 invoiced, $870,000 collected within 90 days of invoicing = 87% collection rate. Track this over time and benchmark it against your own historical performance. A declining collection rate — even if DSO looks stable — can indicate that a growing number of accounts are reaching the 90-day mark without being collected rather than just paying slightly late.

Bad-debt rate

Bad-debt rate is bad debts written off as a percentage of total credit sales for the same period. Example: $25,000 written off in a year, $1,250,000 in credit sales = 2% bad-debt rate.

This is a lagging indicator — the write-off happens after the collection failure, sometimes months or years later. By the time your bad-debt rate rises, the problem has already occurred. For this reason, bad-debt rate is a useful performance measure over time but not an early-warning tool. Use it to evaluate whether your credit policy and collection processes are working across the full cycle, not to detect current problems.

Sector benchmarks for bad-debt rates vary widely: construction and professional services businesses commonly run 1–3%, some retail and consumer-facing sectors run higher, and some highly controlled industries run well below 1%. Above 3% in most commercial B2B contexts is a signal to review your credit policy, your customer vetting process, or your collection cadence — or all three.

Debtor concentration

Debtor concentration measures the percentage of your total AR balance held by your top three to five customers. High concentration is a risk flag: if 40% of your receivables sit with a single customer and that customer goes into administration, you have a major problem — regardless of what the rest of your AR profile looks like.

Review concentration regularly. If concentration is rising — if one or two customers are responsible for an increasing share of your sales and therefore your receivables — consider whether the credit limits and terms for those customers are calibrated to the risk. A high-concentration relationship may warrant a more conservative credit limit, a shorter payment term, or more frequent monitoring than a lower-concentration account would.

Using KPIs to drive policy, not just measure performance

The purpose of credit control KPIs is not to produce a report — it is to drive decisions. Build a monthly credit-control review into your financial calendar. At that review, look at DSO (is it rising, stable, or falling?), the ageing profile (where is risk concentrating?), collection rate (is it trending?), bad-debt rate (what is the write-off experience?), and concentration (is any one relationship becoming disproportionate?).

Then act: if DSO is rising, review the dunning cadence and credit limit decisions; if the 60+ bucket is growing, check which accounts are in it and whether they are on an active recovery path; if bad-debt rate is rising, review credit-check rigour and terms compliance at onboarding. KPIs that sit in a dashboard but do not drive action are just numbers. The point is what you do with them.

Key takeaways

  • DSO is the single most useful credit control metric — track it monthly and trend it over time
  • An ageing profile shows you where risk is concentrating; a healthy profile has most receivables in the 0-30-day bucket
  • A rising bad-debt rate is a lagging indicator — act on the leading indicators (ageing, DSO) before the write-off arrives
  • KPIs are only useful if they lead to action — build a monthly credit-control review into your financial calendar
  • Benchmark your KPIs against your industry and your own history, not against arbitrary targets
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