Villa Zyloh forecasting report
This modern villa is located in Uluwatu
Bedroom : 3
Bathroom : 3
Floor Level : 2
Design : Modern
Swimming Pool : Yes
Balcony : Yes
Qualitative Analysis Grade
Design influences the desirability of the property and has impact on your ranking potential and ability to defend the ranking. Unique designs will create space & allow your property to create a distinct brand and signature from competitors. This factor has impact on advance bookings. More time to sell the property results in fewer last-minute discounts.
Positive Contributors :
- Complete services
- Minimalistic with Class
Negative Contributors :
- An “Okay” View by the pool
- Photos could be improved with night picture
Analysis Method : Cluster Analysis - Expert Insight
Data Sources : Airbnb - 2nd party data
The popularity of your location, relative to all other potential locations that your potential guest might consider.
Positive Contributors :
- Near a main road
- In a popular growing area, however a bit far from competitive and desirable area
Negative Contributors :
- Far from desirable experiences. Not within walking distance to the beach.
Analysis Method : Heat Map Analysis
Travelers consist of different user segments, they’ll bid at different prices for different travel dates. A property with a high product-user fit will appeal to the greatest number of unique, highest-paying traveler segments across the year. This grade has the greatest influence on your ADR (average daily rate).
Positive Contributors :
- Desirable for families of 4-6 with 1-2 children
- Desirable for guests looking for luxury villa
Negative Contributors :
- Not walking distance to the beach or any essential attractions.
- Undesirable for couples and small group size
- Not accessible to many group sizes. Could only sell for 3BR market.
Analysis Method : Time Series - User Segmentation Analysis by Booking Behaviors
Data Sources : Data Vista - Bukit Vista’s Data Warehouse - 1st party data
At Bukit Vista, we are experts in attaining ranking for a property across platforms. This metric is our confidence level that your property can achieve a sustainable ranking & thus sustained revenue. This metric has the most impact on your occupancy.
Positive Contributors :
- Medium Product User Fit
- Excellent Design Grade
Negative Contributors :
- Low Location Grade
Analysis Method : Proprietary Method to Bukit Vista
Once ranking has been achieved, this metric considers the effort to keep the ranking & thus the revenue stable. When ranking is hard to defend, then frequent discounts and special offers are necessary to maintain positioning in the marketplace.
Positive Contributors :
- High market entry barriers
- Few potential competitors in location/design/amenities
Negative Contributors :
Analysis Method : Proprietary Method to Bukit Vista
The Bukit Vista Projection Method
We use least, average and reliability to report our forecast and estimation of the revenue potential of a property. We believe this method is elegant and represents the most honest way to set expectations for an owner.
- 9 months of the year at an average of $4,500 USD / month
- 9 months of the year earning at least $3,000 USD / month
Quantitative Analysis Projection
Least represents the lowest monthly revenue your property is likely to earn in the next 12 months.
Positive Contributors :
- Property can tap into low-season travel by being relevant to smaller group trips
Negative Contributors :
- Owner is inflexible about pricing to target low-season travelers.
Analysis Method :
Calendar multi-block partition method with probabilistic analysis of fitted user segment
Data Sources :
- Data Vista - Bukit Vista’s Data Warehouse - 1st party data
- Airbnb - 2nd party data
Positive Contributors :
- Property appeals to the highest number of high-paying user segments across all dates of the year.
Negative Contributors :
- Property is relevant to a narrow range of users traveling on a narrow range of dates. Can be due to size, location and design.
Analysis Method :
Data Sources :
- Data Vista - Bukit Vista’s Data Warehouse - 1st party data
- Airbnb - 2nd party data
- “0” impossible to predict the revenue performance even for a single month
- “1” completely predictable revenue performance for every month of the year
Positive Contributors :
- Property out competes alternatives by higher ranking.
Negative Contributors :
- Property loses ranking by infrequent bookings and loses positioning in marketplace.
Analysis Method :
Data Sources :
- Data Vista - Bukit Vista’s Data Warehouse - 1st party data
- Airbnb - 2nd party data
- Salaries, insurance, staff benefits
- Base utilities: internet, trash collection
- Baseline electricity & water: garden, pool pumps, fridges
Positive Contributors :
- App & Automation allow staff to be shared across properties.
- Smaller areas mean smaller costs.
Negative Contributors :
- Manual labor management
- Large areas to clean, large pools to circulate, large number of AC units.
Analysis Method : N/A
Data Sources :
- Data Vista - Bukit Vista’s Data Warehouse - 1st party data
- Marketing & Management fees (BV)
- Taxes
- Guest consumption: water, electricity, laundry
Positive Contributors :
- Costs are structured as a result of revenue, not before revenue.
Negative Contributors :
- These are going to be the largest ‘costs’ in the operation.
Analysis Method : N/A
Data Sources :
- Data Vista - Bukit Vista’s Data Warehouse - 1st party data
- Marketing & Management fees (BV)
- Taxes
- Guest consumption: water, electricity, laundry
Positive Contributors :
- Costs are structured as a result of revenue, not before revenue.
Negative Contributors :
- These are going to be the largest ‘costs’ in the operation.
Analysis Method : N/A
Data Sources :
- Data Vista - Bukit Vista’s Data Warehouse - 1st party data
The Bottom Line
Expenses for Villa Management
