What can this property really earn? I project it by hand.I build a month-by-month revenue projection for your Texel 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 Texel, Netherlands, one to one, remotely and in Central European Time (UTC+1). In Texel, I price July to August as the peak and January to February and November to December 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 Texel
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 Texel: Wadden Sea UNESCO landscape; Beaches and cycling; Seal and bird watching; Ferry from Den Helder. Guests I price for: Dutch and German families on weekly stays and couples on weekend breaks. Where I start: School-holiday weekly pricing, ferry-linked weekend stays and municipal tourist tax.
I set up the pricing tool so summer weeks, autumn holidays and quiet months each follow their own rules, with weekend stays opening in the shoulder months and changeover days fixed in peak season, and the German autumn holiday weeks priced above ordinary October dates.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Texel.
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.
Forecasting a Texel property depends on village and type. A beach apartment in De Koog, a farmhouse near Den Hoorn and a cottage in Oosterend attract different guests and follow different seasonal curves. I model the summer weeks, the autumn birding season and the winter separately, include tourist tax and cleaning costs, and show a cautious scenario for a wet summer.
Before projecting anything, I collect comparable listings in the same village, because island-wide averages blur De Koog with the quieter east side.
The island is quiet, so I keep rates low and target couples looking for calm walks, open skies and cosy evenings.
Spring holidays, Easter and Ascension bring families and couples, so I raise those dates while keeping weekdays competitive.
The central village with shops and markets, so I price for families and longer stays, with steady demand across the year.
My full Texel calendar, areas, pricing moves and the mistakes I fix are on the revenue management consultant page for Texel.
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 Texel: July and August, with spring and autumn school holidays. July to August: Summer holidays fill the island, so I use weekly stays, fixed changeovers and keep rates high throughout. September to October: Autumn holidays and migrating birds keep demand strong, so I price October weeks well and open short stays outside the holidays. 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 Texel: November to February. November to December: Demand drops after the autumn holidays, so I keep rates modest and lift only the Christmas and New Year week. January to February: The island is quiet, so I keep rates low and target couples looking for calm walks, open skies and cosy evenings.
De Koog: The main beach village with cafes and Ecomare nearby, so I price summer highest and keep weekly stays in the holidays. Den Burg and De Cocksdorp get their own treatment. For Airbnb revenue forecast, i choose the comp set from the part of Texel 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. Bike storage and nearby rentals, since cycling is central to Texel and secure storage adds value for families and couples alike.
Dutch and German families on weekly stays and couples on weekend breaks. Demand is driven by Seal and bird watching and Ferry from Den Helder. For Airbnb revenue forecast, i base length of stay and booking window assumptions on how these guests book.
Texel is a ferry-and-bike island where demand follows Dutch and German school holidays almost exactly. Families fill weekly stays in summer, couples come for weekends in spring and autumn, and birdwatchers keep October busier than many coastal markets. That is the view I bring to Airbnb revenue forecast in Texel.
Wadden Sea UNESCO landscape, Beaches and cycling and Seal and bird watching are the dates I price first for Airbnb revenue forecast in Texel. September to October: Autumn holidays and migrating birds keep demand strong, so I price October weeks well and open short stays outside the holidays.
Results depend on the property, the starting point and the season, so I do not promise a number. In Texel the first gains from Airbnb revenue forecast usually come from the change with the clearest local signal: add the Ronde om Texel catamaran race weekend in June. 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 Texel I would start from September to October: Autumn holidays and migrating birds keep demand strong, so I price October weeks well and open short stays outside the holidays. To start, open the chat or email me with your property type and size in Texel.
Yes. Airbnb Revenue Forecast Expert in Texel is delivered remotely and scheduled in Central European Time (UTC+1), and 100+ properties in and around Texel have been optimized, including in areas such as Den Burg. 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 Texel.
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 Texel and work remotely in Central European Time (UTC+1). Locally, that shows up in decisions like this: add the Ronde om Texel catamaran race weekend in June.
The other services I offer in Texel, 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 Texel, or read the general page for airbnb revenue forecast.
If you also run properties outside Texel, 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 Texel and what you need. I reply in Central European Time, confirm the scope and the price, and start only when you say so.
