A senior living community has three revenue variables and manages two of them. Occupancy is tracked daily and reported to everyone; the base rate is set annually and watched; the third — care-level charges that are supposed to rise as each resident's needs rise — is assessed on a schedule nobody enforces and billed at a level that lags the care delivered by months. The communities that earn are the ones whose revenue per occupied unit reflects the acuity in the building, not the acuity at move-in.
What is revenue per occupied unit, and what does it hide?
Revenue per occupied unit is total resident revenue divided by occupied units. Base rent for the apartment and the included services, care-level charges by assessed need, ancillary charges — medication management, incontinence care, escorts, second-person fees — and community fees amortized; by unit type and by level of care (independent living, assisted living, memory care); the number by month shows whether the community's revenue is growing through occupancy, rate, or care capture, and the three have different costs.
The split matters because the margins differ. A point of occupancy adds a resident whose care cost comes with them; a point of base rate is nearly all margin; a dollar of care revenue capture on care already being delivered is entirely margin. Communities that grow revenue only through occupancy are adding cost with every resident; communities that capture care revenue are being paid for cost they already carry.
Why does acuity rise faster than the bill?
Residents' needs increase over their stay. Assisted living residents move in at a care level and need more help with daily activities, medication management, and cognitive support as months pass; the care staff adjust in practice — more time, more assistance — because the resident is in front of them; the bill adjusts only when a formal assessment is completed and the care level is re-scored and re-billed, which in most communities happens late or not at all.
The gap is measured. For each resident: the current assessed care level and its charge; the care actually delivered, from the care plan, task records, and staff time; the care level the delivered care would score; and the revenue difference between what is billed and what the delivered care supports — summed across the building, this is the care revenue capture gap, and in communities that measure it for the first time it runs 5 to 15 percent of care revenue.
The family conversation is the obstacle and the control. Raising a resident's care level means a conversation with the family about increased needs and increased cost; staff avoid it; the community's policy — assessment on a fixed cadence, re-scoring on documented change, a family meeting with the care plan and the charge, and a defined effective date — turns an avoided conversation into a scheduled one.
How is assessment cadence a revenue control?
Assessments on a calendar. At move-in, at 30 days, quarterly thereafter, and on any significant change in condition — hospitalization, fall, new diagnosis, medication change; each assessment produces a care level, a charge, and a family notification with an effective date; the tracker shows every resident's last assessment date, next due, and whether the billed level matches the assessed level.
The metrics. Share of residents with a current assessment; share whose billed care level equals assessed level; average days from change-in-condition to re-assessment; care revenue per occupied assisted-living unit against the building's assessed acuity index; and the capture gap in dollars, monthly.
The staffing link. Care revenue capture funds the care staff; a building delivering care at a higher acuity than it bills is paying for staff from base rent, and the labor-per-resident-day metric looks worse than the building's actual economics because the revenue side is understated.
What do move-in economics look like by referral channel?
Cost per move-in. Marketing spend, sales staff, tours, events, and — the largest line in many markets — paid referral agencies that charge a fee equal to a month's rent or more; by channel, divided by move-ins; paid referral agencies often run US$5,000 to US$9,000 per move-in against US$1,500 to US$3,000 for direct inquiries, professional referrals, and resident-family referrals.
Length of stay by channel. Residents from paid-referral channels may have shorter stays — placed quickly, less well matched — than residents from professional or family referrals; lifetime revenue per move-in by channel is the comparison, and it reshapes the sales budget toward direct and professional channels.
Sales funnel metrics. Inquiries, tours, deposits, move-ins, by channel and by month; tour-to-move-in conversion; days from inquiry to move-in; the sales team's capacity against inquiry volume.
Why must attrition be forecast?
Move-outs are structural. Residents leave through death, transfer to higher care, hospitalization that does not return, and family decisions; annual attrition in assisted living runs 35 to 50 percent and in memory care higher; a community at 90 percent occupancy with 40 percent attrition must move in a third of its building every year to hold census, and the sales plan should be built on that number rather than on a vacancy count.
The forecast by month. Expected move-outs from the resident roster — age, acuity, and length-of-stay patterns — against the move-in pipeline, producing projected occupancy by month and the sales targets that hold it; the 13-week and 12-month cash forecasts carry the same census projection.
How is the annual rate increase modeled?
Rate increases are the highest-margin revenue the community adds. Base rate and care-level charges increased annually against cost inflation, market rates, and the community's occupancy position; the question is the move-out risk the increase creates — residents and families who leave or negotiate — and the net effect.
The model. The increase by unit type and care level; the residents at risk (those near the market ceiling, those with family concerns, those on fixed benefits); the expected move-outs and the replacement cost at the current cost per move-in; the net revenue effect at several increase levels; and the communication plan with the notice period state law and the residency agreement require; most communities under-increase out of fear and over-lose through attrition anyway.
Why is this CFO work?
Revenue per occupied unit decomposed by driver is a reporting design; the care revenue capture gap requires care-plan and task records joined to billing; the assessment cadence is a control with a tracker; move-in economics by channel require marketing, sales, and length-of-stay data; attrition forecasting is a census model; and the rate increase is a priced decision with the move-out risk modeled. The executive director and the director of nursing own the care and the family conversations; the CFO owns the economics of the building.
Worked example
A 96-unit assisted living and memory care community, US$7.4 million revenue, 84 percent occupancy.
| Finding | Figure |
|---|---|
| Residents with a current assessment (within cadence) | 61% |
| Residents whose billed care level is below assessed or delivered care | 29 of 81 |
| Care revenue capture gap | ≈ US$290,000 / yr |
| Cost per move-in — paid referral agencies vs. professional and family referrals | US$6,800 vs. US$1,900 |
| Share of move-ins from paid agencies | 54% |
| Median length of stay — agency vs. professional/family referrals | 14 months vs. 22 months |
| Annual attrition | 43% |
| Move-ins needed per year to hold 90% occupancy | 37 |
| Last two rate increases | 2.5% and 3.0% vs. cost inflation of 5–6% |
Illustrative figures for a hypothetical organization; not a client's data.
The community was carrying the care staff for an acuity it was billing a level below; the sales budget was spending most of its money on the channel with the shortest stays; and two years of under-increased rates had cost more margin than any plausible move-out risk. The plan: assessment cadence enforced with a tracker and a family-meeting protocol (capture gap closed to under 3 percent in two quarters); the sales budget shifted toward professional and family referral development with a cost-per-move-in target; an attrition-based census forecast feeding the sales targets and the cash forecast; and a 6 percent rate increase modeled with 4 expected move-outs against 11 that would have been needed to offset it. Modeled first-year effect: about US$380,000 of revenue at nearly full margin, on the same building.