I'd like to see if there were a "If you have x occupancy rate your projected earnings for 2020 would be y. or an "if you use more conservative = x, reccomended = y and so on

Calculate future revenue according occupancy and the Wheelhouse pricing model

Customer Request:

Tool on Wheelhouse that shows how different pricing models might affect forecasted occupancy or revenue rates? Or at least a forecast for my current pricing model?

I want to compare the approximate revenue from like VRs in my as close to my geolocation and possible. I want to know what demand-rate is, the highest rate booked by competitors’. Then I want to know competitors revenue on a monthly and annual bases.

I want machine learning and your data scientists to compare my revenue to the competition group. This will create a yield gap or surplus. There are several data points to create a competitor group and I should be able to add or remove from this group. The comp group should be updated as new info is available. Once I know what I could or should be earning, I can decide how aggressive I should be and what marketing or operationally I should do to support that revenue number. That way I am always looking to increase guest experience and revenue.

Then by month use historical data from my units and my comp group. I want you to build my rates off historically known rate, local demand events, current demand AND my booked revenue goal to build my actual daily rates as a function of where I am on my revenue goal for a particular month I may be more aggressive on lower demand periods and my rev for the month is lower. I may want to require longer nightly minimums with lower rates for early bookers. The tools to drive demand are a function or Rate/Yield management. ie. length of stay/rate, weekend rates, weekday rates, discounted or higher rates and time horizon all become a function of my desired monthly revenue yield.

This will encourage demand rates that will drive me to the revenue I want via evaluation of my comp group rates, occupancy % and my current revenue yield from that month. Basically, watch my revenue goal and set demand tools(length of stay, rates, weekend rates, comp/market demand, etc) daily to reach my goal.

I want you to use your data that I don't have to build my revenue. I am a pretty good hunter and I can sense prey and I am a very good shot. However, I don't have data scientists and extraction tools like you do. Please show what you know and help me grow. One small example I am always higher than my competition on known demand dates out in the future. I literally want them all to look like a discount and get booked by early booker discount shoppers then I am the best and only deal in town. On high demand periods I don't want a repeat, early booker discount guests, I want them to sell out early then my higher price is a better value and gives me more overall revenue. It's how a 5-star rating gets 5-star rates.

If it's not already, the 3 pricing strategies should factor a months current revenue into the daily price.

You can either set the target revenue for a month manually or pull out from past data/market.

Ex, I am running a high nightly rate sitting at 70% occupancy, I've got my target revenue already, I'd want to go aggressive on any remaining nights, converse for the under target months.

Customer Request: I’m wondering if I can find the average nightly price coming out of all the Wheelhouse price recommendations for each night over the course of a year. If every night in the year were booked at the price suggested by Wheelhouse, what would be the average nightly price? Thanks!