What can this property really earn? I project it by hand.I build a month-by-month revenue projection for your Raleigh 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 Raleigh, United States, one to one, remotely and in Eastern Time (UTC-5). In Raleigh, I price May as the peak and January and June to July 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 Raleigh
1-on-1
Directly with Alaa, no account-manager layer
Eastern 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 Raleigh: Duke, UNC and NC State calendars; Research Triangle corporate travel; Basketball rivalry weekends; Medical travel to Duke and UNC hospitals. Guests I price for: University families and corporate guests on 2 to 4 night stays, medical travellers on longer stays. Where I start: Graduation and game-weekend premiums, medical-stay weekly rates, and corporate midweek pricing.
I configure your PriceLabs or Wheelhouse account with the three commencement weekends, rivalry games and the State Fair loaded as date overrides, plus a length-of-stay curve for medical guests. Airbnb, Vrbo and Booking.com then price from the same rules, so a graduation weekend never sells cheaper on one channel.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Raleigh.
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.
“The Research Triangle is driven by universities, hospitals and corporate campuses. Duke, UNC and NC State graduations in May, basketball rivalry weekends and conferences create the peaks, while Duke and UNC hospitals support weekly stays. July and January are the quiet months. I price each university town around its own calendar.”
Alaa Elhadi, revenue management consultant. Cornell certified, 18 years in hotel and short-term rental revenue.
Between semesters and before the conference calendar restarts, I lean on hospital and relocation guests with softer weekly pricing, and I only lift individual nights where a home basketball game falls.
Rivalry games at Cameron Indoor and the Dean Smith Center, spring admitted-student visits and Full Frame in Durham all land here, so I price by date rather than by month.
Commencement weekends at Duke, UNC and NC State overlap closely, which means one home can be booked by families from any of the three; I hold those Fridays and Saturdays as a single block.
Campuses empty out, so I court summer interns, visiting researchers and clinical rotations at Research Triangle Park and the hospitals with 2 to 8 week rates instead of chasing weekend leisure.
Move-in weekend, home football Saturdays and the NC State Fair in Raleigh each deserve their own uplift, while weekday rates track the return of corporate travel after Labor Day.
Thanksgiving visits and early-season basketball keep some weekends useful, but by mid-December I shorten minimums and accept holiday family stays at a sensible rate rather than leave gaps.
Price Duke, UNC and NC State graduation weekends as top premiums, opened early.
Add Duke-UNC basketball weekends as date premiums.
Build weekly rates near Duke and UNC hospitals.
Set weekday corporate rates near Research Triangle Park.
Lower January and July floors.
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 Raleigh: University graduations in May, basketball season, and spring and autumn conference travel. May: Commencement weekends at Duke, UNC and NC State overlap closely, which means one home can be booked by families from any of the three; I hold those Fridays and Saturdays as a single block. August to October: Move-in weekend, home football Saturdays and the NC State Fair in Raleigh each deserve their own uplift, while weekday rates track the return of corporate travel after Labor Day. 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 Raleigh: January and July. November to December: Thanksgiving visits and early-season basketball keep some weekends useful, but by mid-December I shorten minimums and accept holiday family stays at a sensible rate rather than leave gaps. January: Between semesters and before the conference calendar restarts, I lean on hospital and relocation guests with softer weekly pricing, and I only lift individual nights where a home basketball game falls.
Downtown Durham and Trinity Park: Walkable to Duke's East Campus and the American Tobacco district; I price it for weekend visitors and Duke families, with weekly rates aimed at Duke University Hospital stays. Chapel Hill and Carrboro and Cary and Morrisville get their own treatment. For Airbnb revenue forecast, i choose the comp set from the part of Raleigh 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. Whether parking and drive time to RTP are stated plainly in the listing, since corporate bookers in Morrisville and Durham filter on commute before they look at the nightly rate.
University families and corporate guests on 2 to 4 night stays, medical travellers on longer stays. Demand is driven by Basketball rivalry weekends and Medical travel to Duke and UNC hospitals. For Airbnb revenue forecast, i base length of stay and booking window assumptions on how these guests book.
I price each university town around its own calendar. The Research Triangle is driven by universities, hospitals and corporate campuses. That is the view I bring to Airbnb revenue forecast in Raleigh.
Duke, UNC and NC State calendars, Research Triangle corporate travel and Basketball rivalry weekends are the dates I price first for Airbnb revenue forecast in Raleigh. January: Between semesters and before the conference calendar restarts, I lean on hospital and relocation guests with softer weekly pricing, and I only lift individual nights where a home basketball game falls.
Results depend on the property, the starting point and the season, so I do not promise a number. In Raleigh the first gains from Airbnb revenue forecast usually come from the change with the clearest local signal: set weekday corporate rates near Research Triangle Park. 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 Raleigh I would start from May: Commencement weekends at Duke, UNC and NC State overlap closely, which means one home can be booked by families from any of the three; I hold those Fridays and Saturdays as a single block. To start, open the chat or email me with your property type and size in Raleigh.
Yes. Airbnb Revenue Forecast Expert in Raleigh is delivered remotely and scheduled in Eastern Time (UTC-5), and 100+ properties in and around Raleigh have been optimized, including in areas such as Chapel Hill and Carrboro. 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 Raleigh.
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 Raleigh and work remotely in Eastern Time (UTC-5). Locally, that shows up in decisions like this: set weekday corporate rates near Research Triangle Park.
The other services I offer in Raleigh, 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 Raleigh, or read the general page for airbnb revenue forecast.
If you also run properties outside Raleigh, 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 Raleigh and what you need. I reply in Eastern Time, confirm the scope and the price, and start only when you say so.
