Why Your Recovery Rate Isn't Comparable to Anyone Else's

"Our recovery rate is 14%" is the most quoted number in collections and one of the least informative, because the figure depends on definitional choices that move it further than operational quality does. Recovery against placed balance or original balance. Measured over six months or thirty-six. On accounts placed at ninety days or at two years. Each choice can double or halve the reported number on identical performance — which means an agency quoting 22% against your 14% may be running a worse operation on easier paper. This guide covers which choices move it most, why placement age dominates everything, and how to build a measure that supports decisions instead of comparisons.

The denominator problem

Recovery rate is recovered divided by something, and the something is where the variation lives.

Denominator	What it measures	Effect on the number
Placed balance	Recovery against what was handed over	Baseline
Original balance	Recovery against the debt as originated	Lower where fees and interest accrued
Balance including post-placement accrual	Recovery against a growing base	Lower, and falls over time mechanically
Eligible balance	Excludes bankrupt, deceased, disputed, and unworkable accounts	Higher, sometimes substantially
Contactable balance	Only accounts where right-party contact was achieved	Much higher
Net of commission	What the creditor actually keeps	Lower by the commission rate

The spread across those rows on identical performance is large. Recovery measured on contactable balance net of nothing, versus original balance net of commission, can differ by a factor of two or more.

Two of these deserve specific warning.

Eligible balance is where definitions get generous. Excluding bankrupt and deceased accounts is defensible. Excluding "unworkable" accounts is a judgment that can quietly absorb everything difficult, and the exclusion rate is rarely disclosed alongside the recovery rate. Always ask what share of placed balance was excluded before the rate was computed.

Gross versus net of commission is the one that matters commercially. An agency reporting 20% gross at a 35% commission delivers 13% to the creditor. Another reporting 16% gross at 20% commission delivers 12.8%. The first looks 25% better and is worse. Compare net delivered, always.

The window problem

Recovery accumulates over time, so a rate without a stated period isn't a number at all.

A representative cumulative pattern on a placement:

Months since placement	Cumulative recovery	Share of eventual total
3	4.5%	32%
6	8.0%	57%
12	11.5%	82%
24	13.5%	96%
36	14.0%	100%

The same placement is 4.5% or 14% depending entirely on when you look. An operation reporting on mature placements will always beat one reporting on recent ones, regardless of which is better.

Which creates a specific and common distortion: a growing operation reports a falling recovery rate. More recent placements mean more of the book is early on its curve, so the blended rate falls even if every vintage is performing identically or better. Management reads it as deteriorating performance and responds — frequently by pressuring an operation that was doing fine.

The mirror case is worse: a shrinking operation reports an improving rate for the same mechanical reason. A collections function whose placements are declining will show flattering numbers while its actual capability atrophies.

Why placement age dominates

The single largest driver, and it's almost entirely outside the collecting operation's control.

Recoverability decays sharply with account age — the curve our collections framework describes. Illustratively, recovery by age at placement:

Age at placement	Typical recovery	Relative to fresh
60–90 days	Highest	Baseline
6 months	Substantially lower	Roughly half
12 months	Lower again	Roughly a quarter
24 months+	Low single digits	A fraction

Why the decay is so steep:

• Contact data goes stale, and contactability is the binding constraint our contact analysis identifies.
• The customer adjusts to not paying, and a balance not paid for a year has become part of the background.
• Earlier collectors have already worked the easy accounts, so aged placements are adversely selected — you're receiving what previous efforts failed on.
• Circumstances harden from the temporary distress our forbearance analysis describes into structural situations.

The conclusion that follows is uncomfortable for anyone benchmarking: the difference in recovery between fresh and aged placements exceeds the plausible difference between a good operation and a poor one. Comparing two recovery rates without matching placement age compares placement policy, not collections capability.

It also has a practical implication for creditors: the largest available improvement in recovery is usually placing earlier, not collecting better. That's a decision made upstream of the collections function, frequently by people optimizing something else.

Mix shift masquerading as performance

Beyond age, several portfolio characteristics move recovery independently of anything the operation does:

• Balance distribution. Recovery rates differ systematically by balance size, so a shift in mix moves the blended rate.
• Product type. Card, installment, medical, telecom, and utility accounts have different recoverability — and the medical reporting restrictions in our medical debt analysis changed one of them substantially, which means medical recovery comparisons across that period are comparing different regimes.
• Whether the debt reports. A reporting tradeline carries the exercise cost our option analysis describes; a non-reporting one doesn't, and the recovery difference is large.
• First-party versus third-party. Accounts worked under the creditor's own name recover better than the same accounts placed externally.
• Prior placement history. Second and third placements recover at a fraction of first placements.
• Geographic and statutory mix, since exemptions and limitations periods vary.
• Economic conditions, which move recovery for everyone at once — the common-factor effect our correlation analysis describes, applying to recovery as much as to default.

The practical test before attributing any rate change to performance: hold the mix constant and recompute. If the rate change disappears, it was composition. A meaningful share of collections performance discussions are about mix shifts nobody decomposed.

Vintage curves instead of point rates

The methodological fix, and it's the same one that works for loss forecasting.

Group placements by the period they were placed, then track cumulative recovery at matched months since placement. This is the placement-side analogue of the vintage analysis in our forecasting guide.

What a curve gives you that a rate doesn't:

• Separates performance from timing. Comparing the January vintage at month six against the July vintage at month six is a real comparison.
• Shows where in the lifecycle recovery is won or lost. A vintage tracking normally to month three and flattening after has a different problem from one that starts slow.
• Enables early reads. A vintage at month three that's tracking below prior vintages at month three is a signal you can act on, rather than a result you learn about at month twenty-four.
• Supports forecasting, since incomplete vintages can be extrapolated against completed ones.
• Reveals mix effects, since a vintage differing from its predecessors invites the question of what changed about the accounts.

The operational requirement is modest — placement date, account characteristics, and cumulative recovery by month. Most collections systems already hold all three and simply don't report them this way.

Building a measure you can trust

1. Write the definition down. Denominator, inclusions, exclusions, gross or net, and window. Then don't change it — and if you must, restate history so the series remains readable.
2. Report cumulative recovery by vintage at matched months, not a blended point rate.
3. Segment by placement age, since it dominates.
4. Segment by balance band and product, the next largest drivers.
5. Report gross and net separately, with commission visible.
6. Publish the exclusion rate alongside the recovery rate, always.
7. Track cost to collect against recovery, since a rate achieved at any cost isn't a result — the frontier logic in our intensity analysis.
8. Report mix alongside the rate, so composition changes are visible rather than attributed to performance.

The single highest-value item is the first. Most collections reporting suffers from definitional drift — the denominator changed when a system was replaced, an exclusion was added quietly, the window shifted — and a series that isn't internally consistent can't support any conclusion, including the flattering ones.

Evaluating agencies properly

Since external comparison is exactly where the number gets used, the diligence that makes it meaningful:

• Ask for their definition in writing before looking at any figure.
• Ask for recovery by placement age, which is the comparison that matters.
• Ask for cumulative curves, not a single number.
• Ask what share of placed balance is excluded as unworkable, and on what criteria.
• Compare net delivered, since gross rate and commission trade off directly.
• Ask for results on accounts like yours — product, balance, age, geography.
• Run a split placement. The only genuinely comparable test: give two agencies randomly assigned halves of the same placement and compare. Everything else is comparing populations rather than operations, and a split is cheap.
• Weigh complaints and conduct alongside recovery, since a rate achieved through practices that generate complaints attaches to you, per our agency guide.

The split placement is the recommendation worth acting on. It's the same holdout logic that resolves the measurement problems in our reject inference analysis and fraud rules — randomization converts an unanswerable comparison into a clean one, and it costs nothing beyond splitting a placement you were making anyway.

What to measure instead

Recovery rate is a summary, not a management tool. What actually supports decisions:

• Net dollars recovered per account placed, which folds rate and balance together into the figure that matters.
• Net recovery per dollar of collections cost — the efficiency measure.
• Right-party contact rate, the binding constraint upstream of everything.
• Payments taken during contact, per our promise analysis.
• Plan enrollment and completion, since plans drive most sustained recovery.
• Recovery curve position versus prior vintages, which is the early warning.
• Time from delinquency to first contact, which is the lever with the largest effect and is controlled upstream.
• Complaint rate, as the counterweight.

The reframe worth ending on: recovery rate answers "how did we do" and answers it ambiguously. The measures above answer "what should we change," which is the only question worth reporting on monthly.

Frequently asked questions

---

This guide is educational and does not constitute legal or compliance advice. Recovery figures used are stylized illustrations of the mechanism rather than benchmarks; actual rates vary substantially by product, placement age, jurisdiction, and period.