10 KPIs Every STR Host Dashboard Needs

Most property managers have access to more data than they know what to do with. Between your PMS, pricing tool, channel dashboards, and spreadsheets, the numbers are everywhere — but the signal is buried.

The fix isn't more data. It's knowing which 10 numbers actually matter, checking them regularly, and understanding what each one is telling you about your business.

This is the short-term rental KPI stack: the metrics that experienced operators check weekly or monthly, why each one matters, and how to calculate them correctly.

1. Occupancy rate

The most basic and most misunderstood metric in STR. Occupancy rate measures what percentage of your available nights are booked.

The problem is "available nights." If you block dates for personal use, maintenance, or owner stays, a naive calculation (booked nights ÷ calendar nights) will understate your performance. True occupancy — booked nights divided by genuinely available nights — gives you the accurate picture.

Why it matters: Occupancy is half of the revenue equation. You can have great rates and still underperform if nights sit empty. But high occupancy at rock-bottom rates isn't success either — which is why occupancy is just the starting point.

Calculate it: Use our occupancy rate calculator to get both naive and true occupancy, and see the difference blocked dates make.

2. Average daily rate (ADR)

ADR is your average nightly revenue across booked nights: total accommodation revenue divided by the number of nights sold.

It answers a simple question: when a guest books, what are they paying per night?

Why it matters: ADR tells you where your pricing sits, but it's only meaningful in context. A $250 ADR is excellent in a rural market and mediocre in a beachfront one. Track ADR over time to spot trends, and compare it to your market's median to understand positioning.

Calculate it: Use our ADR calculator to compute your average daily rate and see how cleaning fees and discounts affect the number.

3. Revenue per available room (RevPAR)

RevPAR combines occupancy and ADR into a single number: total revenue divided by total available nights (or equivalently, ADR × occupancy rate).

This is the metric that resolves the occupancy-vs-rate debate. A property with 90% occupancy at $150/night generates $135 RevPAR. A property with 70% occupancy at $220/night generates $154 RevPAR. The second property is performing better despite lower occupancy.

Why it matters: RevPAR is the single best measure of revenue performance. If you only track one number, make it this one. It captures both your pricing strategy and your ability to fill nights.

Calculate it: Our RevPAR calculator computes RevPAR from your revenue and availability data, with comparisons across properties.

4. Booking lead time

How far in advance guests book, measured as the average number of days between booking date and check-in date.

Why it matters: Lead time directly affects your pricing strategy. Short lead times (under 7 days) might mean you're underpriced — guests are grabbing last-minute deals. Very long lead times (60+ days) might mean your rates are too low for peak periods, filling up early at rates that don't reflect eventual demand.

Lead time also varies by property type and season. A city apartment might average 12-day lead time; a large vacation home books 45+ days out. Knowing your pattern lets you set minimum-stay rules, last-minute discounts, and early-bird pricing intentionally rather than guessing.

5. Break-even point

The nightly rate and occupancy combination at which your property covers all costs — mortgage, utilities, cleaning, management fees, platform commissions, insurance, and maintenance.

Why it matters: Every night below break-even is a loss. Every night above it is profit. Knowing exactly where that line sits for each property lets you make informed decisions about minimum rates, shoulder-season pricing, and whether a low-rate booking is better than an empty night.

Calculate it: Our break-even calculator helps you find the exact occupancy and rate combination where a property starts making money.

6. Revenue by channel

What percentage of your revenue comes from each booking channel — Airbnb, Booking.com, VRBO, direct bookings, and any other sources.

Why it matters: Channel mix affects profitability directly. OTA commissions range from 3% to 18% depending on platform and region. A property generating 80% of revenue from a high-commission channel has a different profit margin than one with 40% direct bookings, even if the top-line numbers look identical.

Track channel mix monthly. If one channel dominates, you're exposed to policy changes, algorithm shifts, and commission increases. Diversification isn't just a strategy — it's risk management.

7. Cancellation rate

The percentage of confirmed bookings that cancel before check-in.

Why it matters: Cancellations create gap nights that are hard to rebook, especially close to the stay date. A 15% cancellation rate might be the hidden reason your occupancy underperforms despite strong booking pace.

Track cancellation rate by channel and by lead time. Some channels have more generous cancellation policies that attract tentative bookers. Long-lead bookings cancel at higher rates than short-lead ones. Understanding the pattern lets you set cancellation policies that protect your revenue without deterring bookings.

8. Average length of stay (ALOS)

The average number of nights per booking across your portfolio or per property.

Why it matters: Longer stays mean fewer turnovers, lower cleaning costs per revenue dollar, and less operational overhead. But they also mean less pricing flexibility — a 7-night booking locks in a rate for the week, even if demand spikes mid-stay.

ALOS also interacts with minimum-stay rules. If your ALOS is 2.3 nights but you have a 3-night minimum, you're blocking a segment of demand. If your ALOS is 5+ nights, a 2-night minimum isn't serving you — you might benefit from longer minimums that reduce turnover.

9. Booking pace

The rate at which future dates are filling up, compared to the same point in previous periods.

Why it matters: Booking pace is your leading indicator. Occupancy rate tells you about the past; booking pace tells you about the future. If you're 45 days out from a peak weekend and only 30% booked — when you were 60% booked at this point last year — that's an early signal to adjust pricing or marketing.

Track pace by comparing booked percentage at fixed intervals before the stay date (90 days out, 60 days, 30 days, 14 days). This creates a curve you can compare across periods and properties.

10. Net operating income (NOI) per property

Revenue minus all operating expenses for each property: cleaning, maintenance, utilities, management fees, platform commissions, insurance, supplies, and any other recurring costs.

Why it matters: Revenue metrics (RevPAR, ADR, occupancy) tell you about the top line. NOI tells you about the bottom line — what you actually keep. A property with $8,000/month in revenue and $6,500 in costs is less profitable than one with $5,500 in revenue and $2,800 in costs.

Track NOI monthly per property. It's the number that determines whether a property is worth keeping, how to prioritize improvements, and where your portfolio is actually making money.

Putting the dashboard together

These 10 KPIs work as a system, not individually. Occupancy, ADR, and RevPAR give you the revenue picture. Lead time and booking pace give you the forward-looking view. Channel mix and cancellation rate explain the composition. ALOS affects operations. Break-even and NOI tell you what you keep.

The mistake most operators make is tracking too many vanity metrics — page views on their listing, review scores, response times — while missing the financial fundamentals. Those other numbers matter, but they matter because they influence these 10, not as ends in themselves.

Check RevPAR and booking pace weekly. Review the full set monthly. Compare across properties to find your underperformers and overperformers. The patterns will tell you where to focus your time and pricing attention.

Going beyond the spreadsheet

If you're tracking these KPIs across multiple properties and tools, you know the pain: export data from your PMS, pull pricing data from PriceLabs or Wheelhouse, reconcile in a spreadsheet, and repeat next month.

RevPrism connects to your PMS and pricing tool and lets you ask these questions in plain language — "what's my RevPAR by property this month vs last month?" or "which properties are booking below their break-even rate?" — without building reports or maintaining spreadsheets.

It's particularly useful for KPIs that span systems, like comparing your ADR against your pricing tool's recommended rates, or understanding whether your booking pace justifies your current pricing strategy.