What can this property really earn? I project it by hand.I build a month-by-month revenue projection for your Davos 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 Davos, Switzerland, one to one, remotely and in Central European Time (UTC+1). In Davos, I price December to early January and January (WEF week) as the peak and April to May and November 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 .
100+
Properties optimized in and around Davos
1-on-1
Directly with Alaa, no account-manager layer
Central European 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 Davos: World Economic Forum annual meeting; Parsenn and Jakobshorn ski areas; Spengler Cup ice hockey at New Year; Summer hiking and congresses. Guests I price for: WEF delegates and companies on week-long bookings, ski families and congress visitors. Where I start: WEF week contracting a year ahead, ski-week pricing and cantonal guest tax.
I set the pricing tool for ski weeks, Christmas and Spengler Cup, with WEF week blocked for direct contracts, and summer rates that use the guest card as part of the value. I also check that minimum stays and changeover days follow the ski calendar.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Davos.
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.
A forecast for a Davos apartment or Klosters chalet depends on three income streams: the forum week, ski season and summer. I model each separately in Swiss francs, including guest tax, cleaning and any agency commission on forum rentals, and I state clearly what each scenario assumes, especially about forum demand, which can change if the event format shifts.
Before forecasting, I ask for past bookings and any previous forum contracts, because those figures shape the whole year's picture.
Christmas, New Year and the Spengler Cup make late December the second peak after WEF, so I set the highest ski-season rates and require stays of a week or more.
The World Economic Forum is priced as a separate contract with companies and agencies, with long rental periods, clear deposits and terms agreed well ahead.
Near the Parsenn railway and the lake, Dorf suits ski families and summer guests, and I price ski weeks and lake views as clear premiums.
My full Davos calendar, areas, pricing moves and the mistakes I fix are on the revenue management consultant page for Davos.
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 Davos: December to March, with the World Economic Forum in January the single highest week. January (WEF week): The World Economic Forum is priced as a separate contract with companies and agencies, with long rental periods, clear deposits and terms agreed well ahead. February to March: School holidays from Switzerland, Germany and the Netherlands fill ski weeks, so I keep weekly rates firm and protect Saturday or Sunday changeovers. 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 Davos: April to May and November. June to October: Hiking, biking and congresses bring summer guests, so I price weeks and long weekends moderately and include the guest card benefits in the listing. April to May and November: Lifts close and much of the resort pauses, so I keep low rates for congress guests and long stays or close the property for maintenance.
Davos Platz: Close to the congress centre, Jakobshorn and the WEF zone, this area carries the highest WEF and congress value, so I price conference weeks separately from ski weeks. Davos Dorf and Klosters get their own treatment. For Airbnb revenue forecast, i choose the comp set from the part of Davos 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. Guest tax handling and registration with the local tourism organisation, plus whether the listing explains guest card benefits such as lift access in summer.
WEF delegates and companies on week-long bookings, ski families and congress visitors. Demand is driven by Spengler Cup ice hockey at New Year and Summer hiking and congresses. For Airbnb revenue forecast, i base length of stay and booking window assumptions on how these guests book.
I treat WEF as a contracting exercise and the rest of winter as ski-week pricing. Davos is the only Alpine resort whose biggest week has nothing to do with skiing. That is the view I bring to Airbnb revenue forecast in Davos.
World Economic Forum annual meeting, Parsenn and Jakobshorn ski areas and Spengler Cup ice hockey at New Year are the dates I price first for Airbnb revenue forecast in Davos. April to May and November: Lifts close and much of the resort pauses, so I keep low rates for congress guests and long stays or close the property for maintenance.
Results depend on the property, the starting point and the season, so I do not promise a number. In Davos the first gains from Airbnb revenue forecast usually come from the change with the clearest local signal: price Klosters chalets for families and groups on longer stays. 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 Davos I would start from January (WEF week): The World Economic Forum is priced as a separate contract with companies and agencies, with long rental periods, clear deposits and terms agreed well ahead. To start, open the chat or email me with your property type and size in Davos.
Yes. Airbnb Revenue Forecast Expert in Davos is delivered remotely and scheduled in Central European Time (UTC+1), and 100+ properties in and around Davos have been optimized, including in areas such as Davos Dorf. 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 Davos.
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 100+ properties in and around Davos and work remotely in Central European Time (UTC+1). Locally, that shows up in decisions like this: price Klosters chalets for families and groups on longer stays.
The other services I offer in Davos, 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 Davos, or read the general page for airbnb revenue forecast.
If you also run properties outside Davos, 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 Davos and what you need. I reply in Central European Time, confirm the scope and the price, and start only when you say so.
