The Property Performance Dashboard is designed to help you identify profitable investment markets, analyze specific properties, benchmark your performance, and much more. These markets can be states, countries, or even the entire globe. The Dashboard is divided into seven sections, Overview, Map, Market Explorer, Market Summary, Charts, Property Managers, and Comps.

At the top of all pages in the Dashboard, you will find the filtering options, property, amenity, performance, and ID filters. Here you can refine the data set shown by many criteria, allowing you to be as specific or broad as you wish. You can focus on one type of filtering or use all in conjunction. The filters you apply here will remain in place across the entire Dashboard. Just click the Reset Filters button at the top of the page to remove them.

These allow you to filter by property and listing characteristics, including the number of bedrooms and bathrooms. These help you narrow down the number of properties shown across the Dashboard, giving you the most relevant data set possible.

Filtering by amenity is a great way to focus again on a specific subset of properties in the market to create an analysis if you’re looking to compare properties with a particular amenity, like a pool, for example.

Performance filters allow you to identify properties based on specific performance metrics like star rating and price tier, which can be helpful if you are looking to isolate high-performing listings to analyze and compare against one another.

Pricing tiers are buckets based on the range of ADRs in individual markets by bedroom count.

For example, in San Diego, 4-bedroom properties with the highest 20% of ADR are considered luxury, the next-highest 20% is considered upscale, and so on.

So, what's considered "luxury" in San Diego will have different ADRs than luxury units in Madrid. And the same for bedroom count 4-bedroom luxury units in San Diego will have different ADRs than 3-bedroom luxury units in San Diego.

If you want to analyze a small number of properties or hosts, the ID filters are a great way to quickly narrow down the data set. You can curate your search by entering the property or host IDs or selecting those of interest using the checkboxes.

Here, you can find a general market analysis from the last 12 months, there are a range of metrics you can view here, and all can be filtered to make the data as relevant to your research as possible.

At the top of the page, you can find the average performance figures in occupancy, average daily rate (ADR), and RevPAR and Annual revenue, as well as the average number of monthly active listings in the market from the last 12 months.

You can also find at the top a bar graph showing monthly performance. The metric for this graph can be changed depending on your selection from the “Choose Variable” options to the right. Whichever metric you select here will apply to all other information displayed on the overview page.

The Heat Map feature is a fantastic tool for identifying areas of opportunity. For example, if you are looking for an investment property, you can use it to identify top-performing properties. The above example shows that upscale studio apartments have seen strong occupancy in this market over the last 12 months.

The Heat Map metric can be changed based on the variable you select at the top of the page, but you can also change the chart dimensions to the right to best cater to your use case. For example, if you wanted to compare the real estate type against the property rating.

Below the Heat Map, you can find property performance with and without amenities. The figures shown are the average values in the market over the last 12 months. Again, the metric can be changed from the Variable options at the top of the page. Combined with the amenity percentage chart, the amenity comparison is a very helpful way to identify the in-demand amenities in your market and, secondly, see directly how those amenities affect ADR, occupancy, and more.

The Map tool is another excellent way to filter or analyze a specific data set. First, the map displays all active short-term rental properties represented by dots in your chosen market. These are color-coded, by default, based on the type of listing they are; B&B, Unique stay, Apartment, and House, and by clicking on any of these options, you can choose to exclude them from view, again, this will apply across the entire dashboard.

A user can change the colors on the map to represent various variables, either bedroom count, Real Estate Type, Price Tier, Property Host Type, or Property Rating. This could be useful for finding where certain property types or tiers are located in different parts of a market.

When you hover over a dot on the map, you can see the performance of the listing over the last 12 months, again with the option to exclude it from your view.

The map also has helpful selection tools to focus on specific geographic areas. With each of these, you can highlight the areas relevant to your use which will then show data across the dashboard on the properties in the selection from the map.

The square allows you to draw a rectangular area on the map, the circle a radius, and the lasso a custom shape.

Square Tool

Circle (Radius) Tool

Lasso (Custom area) tool

All these make narrowing your market easier, and when coupled with the filters available at the top of the page, help you identify the most relevant data to your search. To the right of the map, you can see the number of properties you selected against the market's total. To clear your selection, you simply click on the map.

Once you have chosen an area on the map, the data shown across the dashboard will reflect the choice. To change this, you can click the map selection drop-down at the top of the page and choose between the map selection or all properties options.

Here, you can find complete performance for your market by year or last 12 months (LTM) up to five years into the past. Here you can view performance across the whole market, like a state or country, for example, or by submarkets within the overall market. For example, if you were subscribed to California, that would be your primary market, then each city within California makes up the submarkets.

Gives you the high-level performance of your market up to five years into the past across a range of metrics, helping you see how the market has changed over time and how it may be trending going forward. As with all the pages on the Dashboard, you can apply filters to narrow down the dataset to what's most relevant to you.

You can adjust the timeframe view by month, quarter, or year with the drop-down at the top of the page. You can use the slider to change the number of months/ years viewable.

With this tool found under the Marker Summary tab, you can see not only historical market performance but also forward-looking figures too. Allowing you to compare how a market is projected to change across a number of metrics year-over-year, including the repeat rent index, which describes how much rates have changed for existing listings over that time period. The RRI removes mix shift, i.e., the effect of new listings on the average rate.

The charts offer a great way to visualize the data in The Dashboard. Again, you can alter the metrics to whichever you wish to analyze and change the reporting time granularity from month, quarter, or year. The top chart will always show the last five years of performance. The bottom graph shows year-over-year performance from the previous five years by month, and each year is color-coded.

This tab shows the top 500 property managers in your market, how many listings they have, and the performance of those listings. The Unique ID column is the name of the property management company, those represented by a number are individual hosts or property management companies who have yet to identify themselves as such.

The Comps tab gives property-specific information based on the filters you have applied from the filtering options at the top of the page. This chart is limited to 500 properties and can be altered to show different timeframes. The comps' performance is displayed over a range of useful metrics:

Avg. Listings

The average monthly number of listings that were live on either Airbnb or Vrbo over the selected 12 month time period.

Avg. Available listings

The average monthly number listings whose calendars had at least one day classified as available or reserved during the reporting period.

Total Listings

The total number of listings that had calendar availability, booked, or blocked by the host at least 1 day in the last twelve months

Listings % Chg

The change in average monthly listings compared to the same period in the prior year.

% Available Full Time

Percent of properties that were available at least 180 available days in the select time period.

% Still Available From Last Year

Percent of properties scraped a year ago that are still on the site.

% Professional

Percent of hosts in each Location that manage 21+ listings in the selected time period. The higher the number, the more professional the market.

Annual Occupancy

Booked Listing Nights divided by Available Listing Nights. The calculation only includes vacation rentals with at least one booked night during the reporting period

Occupancy % Change

The change in occupancy compared to the same period in the prior year.

Annual ADR

Average daily rate for properties for each area in the selected 12 month period, inclusive of cleaning fees.

Annual RevPAR

Average daily revenue per listing properties for each area in the selected 12 month period, inclusive of cleaning fees.

RevPAR % Chg

Percent change of RevPAR in the selected period vs RevPAR in the same time in the prior year.

Seasonality Score

The percentage difference between the minimum and maximum monthly RevPAR in the past year. High score = Low Seasonality (income is more evenly distributed throughout the year).

Average Length of Stay

Average length of a trip over the selected period.

Booked Listings % Change

Number of listings with a booking in the selected period vs number of listings with booking in the same time over the prior year.

Revenue Potential

The average annual revenue potential for full-time short-term rentals. Number is calculated based on revenue averages from the last twelve months.

Home Value

The weighted average home price of homes in each market, filterable by bedroom count and zip codes. Data is sourced from Zillow, and weighted by short-term rental supply by zip code and bedroom count.

Current Yield

The revenue potential of homes in the location divided by the average home values of homes in the same area.

LTM

Last twelve months

1 Prior LTM

The twelve months before the last twelve months. For example, if you were looking at the Dashboard in January 2023, the last 12 months would be January 2022 – December 2022, and the LTM 1 prior would be January 2021 – December 2021

2 Prior LTM

The twelve months before the last 24 months. For example, if you were looking at the Dashboard in January 2023, the last 12 months would be January 2022 – December 2022, and the LTM 1 prior would be January 2020 – December 2020

3 Prior LTM

The twelve months before the last 36 months. For example, if you were looking at the Dashboard in January 2023, the last 12 months would be January 2022 – December 2022, and the LTM 1 prior would be January 2019 – December 2019