WRIE · Retention ROI Calculator · Illustrative model
Retention ROI Calculator for Senior Housing & Care
Enter portfolio turnover, agency, and overtime baselines. See the annualized savings band from predictive retention, agency-labor reduction, and overtime prevention — with every benchmark visible so finance can audit the math.
Answer first
Retention ROI = (avoided turnover cost + avoided agency premium + avoided overtime) − platform cost. The improvement assumptions (retention lift, agency reduction, overtime reduction) are operator-supplied scenario inputs, not SeniorCRE outcome claims or projections. Real modeling is done against the operator’s own twelve-month termination history during a WRIE back-test.
Inputs
Modeled outcome
Illustrative model. Cost-per-turnover benchmarks: AL ~$5,500, MC/CNA ~$10,000, LPN ~$22,000, SNF RN ~$58,000. Ranges from SeniorCRE Industry Findings. Nothing on this page is stored server-side.
How the model is built, and where each number comes from
A retention business case survives diligence when every dollar traces to a documented intervention and a dated source. Volume comes from your own history; unit cost comes from dated, cited industry ranges; attribution comes from the confirmed-intervention log. SeniorCRE publishes no payback period and no savings figure.
| Component | What it captures | Source authority | Common overstatement |
|---|---|---|---|
| Avoided turnover cost | Sourcing, onboarding, ramp, and coverage cost for separations that did not occur | Your termination history for volume; published industry ranges for unit cost | Counting every retained employee as avoided, without attribution to an intervention |
| Avoided agency premium | Premium hours displaced by internal coverage | Reconciled agency invoices versus worked hours | Crediting seasonal decline as program effect |
| Avoided overtime | Overtime hours prevented by schedule redesign and coverage depth | Payroll pay components, not scheduled hours | Ignoring premium stacking that moved cost rather than removing it |
| Occupancy stability effect | Care-continuity impact on move-outs and census | Operator census and clinical record | Modeling revenue upside without an isolated, dated baseline |
| Program cost | Platform, incentives, mentor time, and manager hours | Contract plus operator-supplied program budget | Excluding internal manager time from the denominator |
What has to be in place before the model means anything
- Twelve months of termination history
- Role, care setting, tenure at separation, voluntary or involuntary, and reason code where captured. This sets the volume side of the model.
- Payroll pay-component extract
- Regular, overtime, differential, and premium pay by pay period, so avoided overtime is measured on paid dollars rather than scheduled hours.
- Agency invoices with itemized hours
- Required to distinguish displaced premium hours from seasonal variation and from cost that simply moved to another period.
- Confirmed-intervention log
- The attribution spine. Each retained employee credited to the play a manager confirmed, drawn from the WRIE intervention library.
- An agreed pre-deployment baseline
- Turnover, overtime density, and agency share for the trailing four quarters, frozen and signed off before deployment. Without a frozen baseline, any result is arguable.
- Finance owner and review cadence
- A named finance partner who reviews the model monthly and owns the version presented to owners, lenders, or the board.
What to hand an owner, lender, or board
- The frozen four-quarter baseline, signed and dated.
- The confirmed-intervention log, with attribution per retained employee.
- Benefit presented as a range, with each unit-cost source cited and dated.
- Program cost including internal manager hours, not just platform cost.
- The model structure and WRIE methodology so an analyst can reproduce the arithmetic.
Metric definitions
| Metric | Definition |
|---|---|
| Avoided turnover | Retention lift % × sum of (role turnover count × role cost-per-turnover) |
| Avoided agency premium | Agency reduction % × annual agency hours × agency hourly rate |
| Avoided overtime | Overtime reduction % × annual overtime hours × overtime hourly rate |
| Gross annual savings | Sum of the three avoided-cost lines |
| Net annual ROI | Gross annual savings − platform cost |
| Return multiple | Gross annual savings ÷ platform cost |
Frequently asked questions
How is this calculator different from a static ROI PDF?
You provide portfolio size, current annual turnover count by role, agency hours and rate, and overtime hours and rate, and you set the improvement assumptions yourself (retention lift, agency-hour reduction, overtime reduction). The calculator applies your inputs to compute an annualized band. Every input and every benchmark is visible on the page so finance can audit the math. The output is an operator-supplied scenario, not a SeniorCRE outcome claim.
Are the improvement rates guaranteed?
No. Nothing on this page is a guarantee or a SeniorCRE outcome claim. The improvement assumptions are operator-supplied scenario inputs. Any real modeling is done against the operator’s own twelve-month termination history during a WRIE back-test before any commitment is made.
What benchmarks power the cost-per-turnover numbers?
AL caregiver ~$5,500, MC caregiver / CNA ~$10,000, LPN ~$22,000, and SNF RN ~$58,000. Ranges include sourcing, onboarding, productivity ramp, agency back-fill during the gap, and resident-experience cost — sourced from SeniorCRE Industry Findings briefs.
What payback period does SeniorCRE claim?
None. SeniorCRE does not publish a payback period, an ROI multiple, or a savings figure. Capabilities are built; operator-production outcome data is not published. The credible artifact is a back-test on your data with the assumptions visible.
Why insist on a frozen baseline?
Because turnover, overtime, and agency spend are seasonal. Without a signed, pre-deployment baseline for the trailing four quarters, every measured improvement can be attributed to seasonality, and the business case does not survive diligence.
Where does the calculation write back?
Nothing is stored server-side by this page. The calculator is a client-side model for scoping conversations. During a WRIE back-test, the same math is applied to the operator’s real termination history with results logged in the immutable audit trail.
The owner’s language
What governed labor does to NOI, and to coverage, at one building
Labor is the largest controllable cost in the building, and it is the one an owner tests against a covenant they have already signed. So the workforce case has to land on the NOI line. Nothing below is a result we have measured — each amount is the operator’s own, taken from payroll, the schedule, agency invoices and separation history.
Line 01
Agency and premium hours above the governed plan
Ungoverned today: Scheduling, timekeeping and payroll are reconciled after the pay period, by hand, once the premium has already been spent.
Line 02
Care hours staffed against governed census
Ungoverned today: A signed deposit is counted as occupied, so hours are scheduled and paid against a bed nobody has moved into.
Line 03
Replacement cost of separations nobody saw coming
Ungoverned today: The exit signal sits in scheduling, payroll and credential data that no one reconciles into one record per employee, so the cost is recognized at the exit interview.
The three lines are the operator’s figures, not ours. What SeniorCRE supplies is the definition each line is measured on, which system holds authority for it, the reconciliation rule, and the lineage back to source — so the amount can be defended when it reaches the owner.
What that does to debt service coverage
Debt service coverage ratio = property NOI ÷ annual debt service.
Coverage is usually tested at the property, on trailing NOI, against a covenant the owner has already signed. That makes an NOI line item and a covenant test the same conversation — an amount that never reaches NOI never reaches coverage, and a definition nobody governs is where the amount goes missing.
Illustrative arithmetic on stated assumptions
One 100-unit assisted living community. Annual debt service of $1,200,000. Trailing NOI of $1,560,000, which tests at 1.30×.
If the owner’s own worksheet puts $120,000 of annual NOI on the lines above — care levels billed in period, hours staffed against governed census, occupancy read on one definition — NOI of $1,680,000 tests at 1.40×.
That is division, not evidence. The assumptions are stated so the owner can replace them; substitute the property’s own debt service and NOI and the arithmetic answers for that property instead of this one.
No email is required and nothing is gated. If the arithmetic does not clear the covenant on your own numbers, that is the answer, and we would rather you find it on your own sheet than in a briefing.
No operator runs SeniorCRE in operator production today, no third-party integration is live in operator production, and no operator outcome is claimed or independently validated. Figures above are arithmetic on the assumptions shown. Commercial terms are not published; they are provided under NDA in a written quote scoped to the portfolio.
Govern the truth before you automate the decision — and before you ask an owner to fund it.
Next: bring your completed model to a briefing
The model is worth more than a demo. Bring the numbers you produced here, with the assumptions you changed, and we will work from your sheet.
Shared assumptions (defaults) — 12 communities · 500 units · 88% occupancy · 6 systems of record. Every model in the suite starts here.
Edit in the Decision Suite