Some initial tips for understanding and interpreting your data
Welcome to your new dashboard! If you’re looking for some initial pointers on how to get started with analysing your data, you’re in the right place.
We'll take you through your main dashboard views, and give you the lowdown on the features and data.
Supply 🏘️ (click to view full article)
Our supply view allows you to visualise your entire market and apply filters to analyse more particular supplies of listings, with each dot on the map representing a listing.
The map and data are dynamic as you zoom or filter. You can also layer and colour code filters to analyse supply according to platform, property manager plus much more.
Rate & Demand - Market Overview 📈 (click to view full article)
The rate & demand view aggregates the forward-looking data from the listings you see in the supply view. The data is broken down into charts to demonstrate numbers and trends in ADR and occupancy for example, and allow you to compare your performance against the market or certain competitors.
The top line shows the total number of market listings and the number of your listings that we are tracking. It breaks down the market listings by bedroom number and then by minimum stay.
Average Nightly Occupancy shows the percentage of unavailable listings in the market against your unavailable listings on each given day. If a listing is blocked off by the owner, it will register the same as if it was booked by a guest.
Average Nightly Rate (or ADR) displays the average listing price on each given date for both the market and your listings. PLEASE NOTE - unlike the other platforms, Booking rates are all inclusive of fees, and therefore should be compared in isolation.
Pick Up indicates the number of market listings made unavailable (booked/blocked) in the last 7 days. If there are recent cancellations or added inventory, this will count Pick Up in the opposite direction, therefore lowering it overall.
The Filter Panel contains a range of filters (Property Manager, Bedrooms, Zipcode, Calendar Dates, etc) for you to manipulate the data displayed on your market overview. Don’t forget to hit APPLY FILTERS after your selections!
Custom Groups (click to view full article)
The Custom Groups feature empowers you to create unique sets of listings that you find most relevant to compare your revenue management strategy against. This way, you can separate out specific listings from Property Managers or Hosts that contain a certain amenity, location, price trend, etc. and organize them into one categorical group.
Define your group by importing a list of URLs under your account settings, and then you’ll always be able to select this group using the “Listings Group” field on the Dashboard filter panel.
Rate & Demand - Bedroom Comparison📉 (click to view full article)
The bedroom comparison of your rate & demand dashboard shows exactly the same data as the market overview, but each of the charts breaks the data down by bedroom count for the (filterable) market. For each date you get a data point for listings of each bedroom count. See average nightly occupancy below for example.
Rate & Demand - Listing Level View (click to view full article)
The listing level view is where you can see the individual price points for each listing on each day (360 days forward looking) in your market. Use the filters to specify the group of listings you want to analyze, then side scroll to see on which dates they are available and for how much (the teal-lined squares indicate the listing is unavailable to book on that date). Clicking the title will take you straight to that listing page, and you can search for your own company under Property Manager to see the data for your listings we are tracking.
You can also sort your list from high to low or vice versa by clicking on the headings of each column (Review Score, ADR, Average Occupancy, etc). All of this data can be downloaded and exported from the icon in the top right corner!
Calendar - Rates 📅 (click to view full article)
The rates tab of the calendar gives you a day by day visualisation of your average price and your difference to the (filterable) market. Occupancy is percentage market unavailability for that day. All data is the same data used in the rate and demand charts.
You will also notice a blue icon in the bottom right of Sep 1st - this indicates an event in your market that is significantly impacting rate or demand - clicking it will give you more information.
Calendar - Price Variations 📆 (click to view full article)
The price variations tab shows the percentage difference between rates on the given date and the average rate over the next 360 days from today.
For example, rates for your stock are 8% higher on 1st Sep than your average for the following year, while market prices are only 4% higher than their average.
Ranking(click to view full article)
Use this tab to explore how the professional Property Managers in your market rank against each other in terms of Listing Count, ADR, Occupancy, and more. You can filter for specific subsets of your market and sort according to the type of analysis you want to perform.
Reviews (click to view full article)
Now you can read the most recent reviews for each listing in the Market all in one place. The dynamic word clouds represent high frequency words within Bad Reviews (3.49 and below) vs. Good Reviews (3.5 and up). Simply click the review title to head straight to that listing site, and utilize the filter panel to specify the inventory for gathering guest experience data.
Performance (click to view full article)
Here you can view 2019 Performance metrics for active professional listings in the Market. Gain a vision of your market’s potential by analyzing our estimated ADR, Revenue and Occupancy data at property level- Filter accordingly and sort from high to low, or vice versa
General points on your dashboard...
- Dashboards are updated every Tuesday and include data for the next 360 days.
- You are able to export the data in several formats from most of the Dashboard views. Except for the Supply export, the data will be correct to the filters you have applied.
Your next important step is to schedule an onboarding call to learn how to best use each dashboard and interpret your data. Find the link to schedule your call in your Welcome to Transparent email, or get in touch with us at email@example.com and we'll be happy to help.