What can this property really earn? I project it by hand.I build a month-by-month revenue projection for your Bali property or purchase: occupancy, ADR and revenue in conservative, realistic and optimistic cases, from a comp set I choose by hand. Quoted on request, delivered remotely.
Alaa Elhadi, an independent revenue management consultant, provides Airbnb revenue forecast for Airbnb hosts, vacation rental owners and property managers in Bali, Indonesia, one to one, remotely and in Central Indonesia Time (UTC+8). In Bali, I price July to August and December as the peak and January to February as the quiet time, and I build the work around that calendar. The Airbnb revenue forecast is quoted per property after a short chat, with the scope and price confirmed before work starts. Comparing several candidate properties is scoped together.
Start in the chat or by email. Last updated .
1,250+
Properties optimized in and around Bali
1-on-1
Directly with Alaa, no account-manager layer
Central Indonesia Time
Sessions scheduled in your local time
An Airbnb revenue forecast is a month-by-month projection of occupancy, ADR and revenue for one property, set beside comparable listings. Buyers use it to test a purchase, operators use it to check an arbitrage lease, and hosts use it to set targets for a live listing.
What I plan around in Bali: Australian and European holiday calendars; Surf season in Uluwatu and Canggu; Digital-nomad demand in Canggu and Ubud; Wedding and villa-retreat travel. Guests I price for: Australians on 5 to 10 night stays, Europeans on 2 to 3 week trips, and remote workers on monthly stays. Where I start: Villa pricing by bedroom count and pool, monthly discount ladders for nomads, and holiday-season minimum stays.
On Airbnb, Booking.com, Agoda and Vrbo I set up PriceLabs or Wheelhouse with Australian and European holiday calendars, Nyepi handling and monthly rate ladders for remote workers, so each channel prices consistently, guests see the same total including the levy, and peak weeks stay protected for short holiday stays.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Bali.
I project occupancy, ADR and revenue for each month in conservative, realistic and optimistic cases, with annual totals, RevPAR and seasonality.
I choose comparable listings by hand and remove inactive ones and outliers, so the benchmark is real and not a postcode average.
For a purchase or an arbitrage lease I set revenue against rent or mortgage and costs, and show the occupancy you need to break even.
A clear report with my reasoning for each assumption, suitable for partners, investors or lenders.
“Bali's villa market has grown so fast that positioning now matters more than location alone. Australians, Europeans and remote workers want very different stays, the tourist levy adds to guest costs and the government has been checking villa licences more closely. I price by bedroom count, pool and privacy, and separate monthly nomad stays from holiday weeks.”
Alaa Elhadi, revenue management consultant. Cornell certified, 18 years in hotel and short-term rental revenue.
Wet season and post-holiday quiet slow demand, so I set realistic floors, welcome nomad monthly stays and avoid deep discounts that hurt future peak pricing.
Nyepi closes the island for a day, so I warn guests clearly, price the surrounding days normally and use the rest of March for remote workers.
Dry season starts and Australian school holidays arrive, so I raise rates, set five night minimums for family villas and price Easter weeks above the rest.
European summer holidays and the peak surf season fill villas, so I set firm minimums and keep monthly nomad rates off these dates.
The dry season continues and Australian spring holidays add demand, so I keep rates steady and soften only the rainy weeks of late November.
Christmas and New Year are the island's top nights, so I set seven night minimums for large villas and price them well ahead of time.
Price villas by bedroom count, pool and privacy against close comps.
Price July to August, Christmas to New Year and Australian school holidays as top bands.
Build monthly rates for remote workers in Canggu and Ubud.
Block Nyepi and plan stays around it.
Confirm the villa's licensing is in order.
Buying a property
You want to test the price and yield before you make an offer.
Considering arbitrage
You want to see whether revenue covers the rent in the slowest months.
Launching a listing
You need a realistic first-year target and launch plan.
Already hosting
You want your live listing benchmarked against the market.
Send the address, bedrooms and your goal. No account access is needed and the listing does not have to exist yet.
I choose comparable listings and remove inactive ones and outliers.
Occupancy, ADR and revenue for every month in three scenarios, with my assumptions written down.
Step 4
I send the report and walk you through it, and can compare a second property if you need.
I quote per property after a short chat, and confirm the scope and the price before starting. Comparing several candidate properties is scoped together.
| Option | What you get | Price |
|---|---|---|
| Single property | Twelve-month projection, three scenarios, report | Quoted |
| Several properties | Candidates compared side by side | Quoted |
Real feedback from PriceLabs pricing strategy sessions with Alaa.
Alaa is a consummate professional! Patient, thorough, efficient and effective in communicating. He not only made savvy adjustments to my dynamic pricing strategy, but also helped me to understand the reasoning behind his methods, granting me a better understanding of the PriceLabs platform. Strong work!
Airbnb host
Alaa was fantastic, going through each of the properties I had and gave great advice and actioned a great game plan. Would highly recommend for anyone looking to enhance their pricing strategy on PriceLabs. Alaa's experience goes beyond this which makes it very beneficial to have this holistic approach.
Property manager
Alaa helped me optimize my PriceLabs settings for my Airbnb listing and was very helpful and patient with answering any questions I had. He was also able to clearly explain why he made the changes he made, and it was obvious that he had a lot of experience in this field. I will definitely be back!
Airbnb host
Busiest in Bali: July to August, Christmas to New Year, and Australian school holidays; Nyepi in March closes the island for a day. July to August: European summer holidays and the peak surf season fill villas, so I set firm minimums and keep monthly nomad rates off these dates. December: Christmas and New Year are the island's top nights, so I set seven night minimums for large villas and price them well ahead of time. For Airbnb revenue forecast, i model these windows month by month, so peak months carry the revenue they realistically can and not an annual average.
For Airbnb revenue forecast, i project the quiet months separately, which is what shows whether a purchase or an arbitrage lease survives them. Quietest in Bali: January to February and the rainy weeks of November. September to November: The dry season continues and Australian spring holidays add demand, so I keep rates steady and soften only the rainy weeks of late November. January to February: Wet season and post-holiday quiet slow demand, so I set realistic floors, welcome nomad monthly stays and avoid deep discounts that hurt future peak pricing.
Canggu and Pererenan: Surf, cafés and remote workers; I mix monthly nomad rates with holiday pricing and keep peak weeks for short stays. Uluwatu and Bingin and Ubud get their own treatment. For Airbnb revenue forecast, i choose the comp set from the part of Bali your property is actually in, and remove inactive listings and outliers.
For Airbnb revenue forecast, i check this before projecting anything, because a projection built on a wrong assumption only looks precise. How the villa compares with close competitors by bedrooms, pool size and privacy, since guests filter by these features before they look at price.
Australians on 5 to 10 night stays, Europeans on 2 to 3 week trips, and remote workers on monthly stays. Demand is driven by Digital-nomad demand in Canggu and Ubud and Wedding and villa-retreat travel. For Airbnb revenue forecast, i base length of stay and booking window assumptions on how these guests book.
Bali's villa market has grown so fast that positioning now matters more than location alone. Australians, Europeans and remote workers want very different stays, the tourist levy adds to guest costs and the government has been checking villa licences more closely. That is the view I bring to Airbnb revenue forecast in Bali.
Australian and European holiday calendars, Surf season in Uluwatu and Canggu and Digital-nomad demand in Canggu and Ubud are the dates I price first for Airbnb revenue forecast in Bali. January to February: Wet season and post-holiday quiet slow demand, so I set realistic floors, welcome nomad monthly stays and avoid deep discounts that hurt future peak pricing.
Results depend on the property, the starting point and the season, so I do not promise a number. In Bali the first gains from Airbnb revenue forecast usually come from the change with the clearest local signal: block Nyepi and plan stays around it. I review progress against your own occupancy, ADR and RevPAR, not a market average.
The Airbnb revenue forecast is quoted per property after a short chat, with the scope and price confirmed before work starts. Comparing several candidate properties is scoped together. The scope of Airbnb revenue forecast is the same in every market, but the plan is not: in Bali I would start from July to August: European summer holidays and the peak surf season fill villas, so I set firm minimums and keep monthly nomad rates off these dates. To start, open the chat or email me with your property type and size in Bali.
Yes. Airbnb Revenue Forecast Expert in Bali is delivered remotely and scheduled in Central Indonesia Time (UTC+8), and 1,250+ properties in and around Bali have been optimized, including in areas such as Uluwatu and Bingin. Everything is remote: you send an address and a few details, and I build the projection. Start in the chat or by email and tell me what you run in Bali.
For Airbnb revenue forecast, i build each projection by hand, which is why it gives a range with reasoning and not one headline number. I have optimized 1,250+ properties in and around Bali and work remotely in Central Indonesia Time (UTC+8). Locally, that shows up in decisions like this: block Nyepi and plan stays around it.
The other services I offer in Bali, for hotels and for Airbnb and short-term rentals. Each has its own page for this market.
Back to the revenue management consultant page for Bali, or read the general page for airbnb revenue forecast.
If you also run properties outside Bali, I work in these markets too, and each page is written for that market's own seasons, areas and rules.
Tell me what you run in Bali and what you need. I reply in Central Indonesia Time, confirm the scope and the price, and start only when you say so.
