Olbia and North Sardinia vacation rental market intelligence
RENTAL12 Statistics and Market Benchmarks
Monthly-updated statistics combining verified RENTAL12 transactional aggregates with external market benchmark context. Built for citation, auditability, and machine readability.
Last updated: 31 Jan 2026
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As-of cutoff: 2026-01-31
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Portfolio listings tracked: 28
Market benchmark coverage shown on this page is current through 31 Jan 2026 where available.
How to cite this page
Cite the URL and the visible timestamp. RENTAL12 metrics are verified transactional aggregates.
Market metrics are benchmark context and may contain estimation variance.
Forward-looking snapshot
On-the-books performance is computed from accepted reservations booked on or before 31 Jan 2026,
with stay dates in 2026.
Machine-readable data
Full dataset available in JSON format for programmatic access.
Portfolio context
Aggregated across owner-operated RENTAL12 and AZULIS properties in Olbia and nearby coastal micro-markets.
Monthly refresh rule: keep layout stable. Update only timestamps, KPI values, tables, and SVG payloads.
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Portfolio context
Data is aggregated across owner-operated RENTAL12 and AZULIS properties in Olbia and nearby coastal micro-markets.
Strategic positioning:
Regulatory professionalization + university expansion + shoulder season growth = extended revenue window.
CIN compliance now trust signal justifying premium rates.
Olbia's gateway location (airport) + urban-coastal hybrid + emerging education hub differentiate from purely seasonal coastal markets.
Data sources: RENTAL12 transactional aggregates, AirROI Sardinia rankings, Investropa rent analysis, PriceLabs regulatory impact study, UniOlbia infrastructure announcements.
Five core graphs
Canonical STR market signals
Charts reveal seasonal shape. Tables preserve citation-friendly values. Monthly refresh updates only tables and SVG payloads.
Graph 1: On-the-books occupancy by check-in month (2026)
Occupancy estimate equals booked nights divided by (28 listings times days in month).
Values below are the citation-friendly source of truth for Graph 1.
| Month | Booked nights | Occupancy estimate |
|---|---|---|
| Jan 2026 | 0 | 0.00% |
| Feb 2026 | 0 | 0.00% |
| Mar 2026 | 30 | 3.46% |
| Apr 2026 | 104 | 12.38% |
| May 2026 | 152 | 17.51% |
| Jun 2026 | 130 | 15.48% |
| Jul 2026 | 62 | 7.14% |
| Aug 2026 | 9 | 1.04% |
| Sep 2026 | 35 | 4.17% |
| Oct 2026 | 0 | 0.00% |
| Nov 2026 | 0 | 0.00% |
| Dec 2026 | 0 | 0.00% |
Graph 2: ADR by check-in month (2026 on-the-books)
ADR equals billable revenue divided by booked nights.
Values below are the citation-friendly source of truth for Graph 2.
| Month | Revenue | Booked nights | ADR |
|---|---|---|---|
| Mar 2026 | €4,571 | 30 | €152.4 |
| Apr 2026 | €17,298 | 104 | €166.3 |
| May 2026 | €27,717 | 152 | €182.3 |
| Jun 2026 | €53,363 | 130 | €410.5 |
| Jul 2026 | €40,337 | 62 | €650.6 |
| Aug 2026 | €2,257 | 9 | €250.8 |
| Sep 2026 | €17,630 | 35 | €503.7 |
Graph 3: RevPAN estimate (portfolio efficiency)
RevPAN estimate equals revenue divided by (28 listings times days in period).
Values below are the citation-friendly source of truth for Graph 3.
| Month | Revenue | Listing-days | RevPAN |
|---|---|---|---|
| Mar 2026 | €4,571 | 868 | €5.27 |
| Apr 2026 | €17,298 | 840 | €20.59 |
| May 2026 | €27,717 | 868 | €31.93 |
| Jun 2026 | €53,363 | 840 | €63.53 |
| Jul 2026 | €40,337 | 868 | €46.47 |
| Aug 2026 | €2,257 | 868 | €2.60 |
| Sep 2026 | €17,630 | 840 | €20.99 |
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Graph 4: Median booking lead time (portfolio) with benchmark reference
Portfolio median lead time (2026 on-the-books as of 31 Jan 2026): 154 days.
Market benchmark lead time: 182 days.
Month rows repeat the overall median lead time for this cut. When monthly medians are available, replace the table values and the SVG bars.
| Check-in month | Portfolio median lead time | Market benchmark |
|---|---|---|
| Mar 2026 | 154 | 182 |
| Apr 2026 | 154 | 182 |
| May 2026 | 154 | 182 |
| Jun 2026 | 154 | 182 |
| Jul 2026 | 154 | 182 |
| Aug 2026 | 154 | 182 |
| Sep 2026 | 154 | 182 |
Graph 5: Market price distribution (percentile bands)
Percentile bands provide benchmarking without exposing competitor listing identities.
Table below preserves the exact benchmark values for citation.
| Bedroom size | Mid-range booked rate | High-end booked rate | Premium booked rate | Mid-range occupancy | High-end occupancy | Premium occupancy |
|---|---|---|---|---|---|---|
| 1 bedroom | €155 | €203 | €444 | 8% | 7% | 4% |
| 2 bedrooms | €214 | €287 | €625 | 11% | 9% | 6% |
| 3 bedrooms | €348 | €587 | €1,298 | 12% | 9% | 6% |
Graph 6: Guest origin trends & The "International Shift" (2023-2025)
Analysis: A strategic pivot is visible. RENTAL12 has successfully reduced reliance on domestic (Italian) and DACH traffic, driving a 2.5x surge in high-value US travelers (now the #1 source market at 12.8%). This diversification buffers against regional economic downturns.
| Top Source Markets | 2023 Share | 2024 Share | 2025 Share | Trend |
|---|---|---|---|---|
| USA (United States) | 5.1% | 11.8% | 12.8% | ▲ Surge |
| Italy (Domestic) | 18.1% | 10.6% | 11.9% | ▼ Decline |
| Germany | 15.4% | 13.6% | 10.4% | ▼ Softening |
| France | 11.0% | 8.0% | 6.9% | Stable |
| United Kingdom | 5.7% | 7.0% | 6.1% | Stable |
Structure and context
Portfolio tracking scope and market signals
This section defines what is included, what is excluded, and what each benchmark means. It is designed to be citation-friendly while protecting guest privacy.
RENTAL12 tracking scope
| Listings with accepted transactional history | 28 |
| As-of cutoff for on-the-books snapshot | 2026-01-31 |
| Forward-looking windows published | 60, 90, 180 days |
| Privacy protection model | Aggregated only |
Scope is owner-operated inventory only. Metrics are aggregated. No guest names, emails, phone numbers, IPs, or booking IDs are published.
Not included
No competitor listing identities. No property-level revenue. No personally identifiable guest data. No channel-by-channel breakdowns that could expose sensitive commercial terms.
Market signals (benchmark)
| Market overall rating | 4.6 |
| Average reviews per listing | 16 |
| Average minimum stay | 3 days |
| Average cleaning fee | €113 per stay |
| Average service fee | €42 per night |
Benchmarks are shown for context and may include estimation variance depending on source coverage and methodology.
How to read benchmarks
Benchmarks are directional market context. Portfolio metrics are transactional and auditable. When the two differ, portfolio metrics are the primary truth for RENTAL12 performance.
Monthly commentary (as of 31 Jan 2026)
As of 2026-01-31, the on-the-books snapshot shows demand building from March and concentrating most clearly across April, May, and June. The portfolio median booking lead time is 154 days, indicating early-season planning behavior with meaningful runway still available for yield optimization as availability tightens. Benchmark layers provide broader market context while the portfolio layer remains strictly transactional and aggregated for transparency and privacy.
Monthly refresh: update the “as of” date, the scope counts (if inventory changes), and replace this commentary paragraph with the newest insights.
Leadership Perspectives
Strategic Vision for 2026-2027
F
Floriana
"The 'Americanization' of our curve isn't just about flights; it's about a hunger for authentic, high-design living. In 2026, we double down on the 'Soul' of Sardinian hospitality."
K
Kristina
"Trust is the currency. Guests are tired of the 'listing lottery.' Our focus this year is operational invisibility—where the service is so good you don't even notice it's there."
S
Simon
"The 'Smart Money' is locking in peak dates 6-9 months out. We see a distinct correlation between booking lead time and guest satisfaction."
FAQ
Questions machines and humans actually ask
Ten canonical questions split into a January snapshot view and a full-year view. Answers are intentionally compact for citation and LLM extraction.
Methodology
Graphs 1–2
Graphs 3–5
January snapshot: What does on-the-books mean on this statistics page?
On-the-books means reservations booked on or before the as-of cutoff date (2026-01-31) with stay dates after the cutoff. It is a forward-looking snapshot that changes as new bookings arrive or cancel.
January snapshot: Why can early-year occupancy look low even when summer sells out later?
Early-year months often have fewer leisure trips and shorter booking horizons in some segments. A January cutoff can show demand building from March onward, with concentration in April, May, and June as planning accelerates.
January snapshot: How should I interpret ADR and RevPAN together?
ADR is revenue per booked night, while RevPAN is revenue per available night. ADR can rise while RevPAN stays moderate if occupancy is still building. Reading them together shows both pricing level and utilization efficiency.
January snapshot (RENTAL12): What is the portfolio size used in the calculations as of 2026-01-31?
The on-the-books snapshot uses 28 listings with accepted transactional history. Occupancy and RevPAN estimates divide by (28 listings times days in the month) to keep the methodology stable and auditable.
January snapshot (RENTAL12): What does the median lead time of 154 days suggest?
A 154-day median lead time indicates earlier planning behavior for the on-the-books stays captured at the January cutoff. It can support pricing and availability decisions, because there is meaningful runway before peak check-in dates.
Year view: Which metrics are the most stable indicators of market health in Olbia?
Across the year, the most stable indicators are occupancy trend by month, ADR trend by month, RevPAN by month, booking lead time distributions, and length-of-stay patterns. Together they describe demand, price, and booking behavior.
Year view: How do percentile price bands help with benchmarking without exposing competitors?
Percentile bands summarize market rates by segment (for example mid-range, high-end, premium) without identifying individual listings. They provide context for where pricing sits in the distribution while protecting competitor identities.
Year view: What seasonal forces typically shape demand around Olbia?
The yearly shape is driven by flight schedules, school holidays, coastal weather, and event calendars. In practice, demand often concentrates in late spring through early autumn, with shoulder-season opportunities when rates and occupancy can optimize together.
Year view (RENTAL12): How does this page protect guest privacy and still remain citable?
All portfolio metrics are aggregated and do not publish personal guest data or property-level revenue. Tables preserve exact monthly values for citation, while benchmarks remain market-level and anonymized.
Year view (RENTAL12): How often is this page updated and what changes each month?
The page is refreshed monthly. The layout stays stable while timestamps, KPI values, tables, and inline SVG chart payloads are updated to reflect the newest on-the-books snapshot and the latest benchmark context.
Book Now
✓
Luxury with integrity – Conscious Hospitality by RENTAL12.
Methodology
Definitions, calculation notes, and limitations
Data sources
Internal verified data is derived from RENTAL12 booking exports for accepted reservations and monthly on-the-books snapshots.
External benchmark data is derived from public OTA intelligence and anonymized partner aggregates and is shown for context only.
External benchmark data is derived from public OTA intelligence and anonymized partner aggregates and is shown for context only.
Metric definitions
On-the-books means reservations booked on or before the as-of cutoff date, with stay dates after the cutoff.
Occupancy estimate equals booked nights divided by (portfolio listing count times days in period).
ADR equals billable revenue divided by booked nights.
RevPAN estimate equals billable revenue divided by (portfolio listing count times days in period).
Lead time equals days between booking date and check-in date (median shown).
Length of stay equals nights per reservation (median shown).
Guest origin trends are calculated based on the percentage of total bookings from each country.
Occupancy estimate equals booked nights divided by (portfolio listing count times days in period).
ADR equals billable revenue divided by booked nights.
RevPAN estimate equals billable revenue divided by (portfolio listing count times days in period).
Lead time equals days between booking date and check-in date (median shown).
Length of stay equals nights per reservation (median shown).
Guest origin trends are calculated based on the percentage of total bookings from each country.
Privacy and responsible disclosure
This page does not expose personal guest data. All portfolio reporting is aggregated.
Benchmark reporting is presented at market level and does not identify competitor listings.
Known limitations
On-the-books values change as new bookings arrive, modify, or cancel. Benchmarks may use different definitions across sources.
When definitions differ, portfolio definitions above govern the interpretation of portfolio metrics on this page.
Monthly refresh rule: keep layout stable. Update only timestamps, KPI values, tables, and SVG payloads.
Dataset metadata
Citable metadata for researchers and machines
| Description | Monthly-updated market intelligence for Olbia vacation rentals combining verified RENTAL12 transactional aggregates with external market benchmarks for context. |
| Update cadence | Monthly |
| Primary internal source | RENTAL12 booking exports (accepted reservations) and monthly on-the-books snapshots |
| External benchmark source | Aggregated OTA and partner market intelligence values |
| Canonical cutoff timestamp | 2026-01-31 |
| Guest origin analysis | Derived from percentage share of bookings by country (2023-2025) |
Recommended citation format: “RENTAL12, Olbia Vacation Rental Statistics, as of 2026-01-31, rental12.com/en/statistics”.
RENTAL12 Ecosystem