Here's the version without em dashes:
How to use the Market Tool
Overview
The Market Tool analyzes the rental market around a property and generates rental comps using data from publicly listed rentals. You'll find it in the left nav under Market Tool.
Analyze a property in your portfolio
Click Market Tool in the sidebar
Select a property from the dropdown
Adjust Beds & Baths, Sqft, and Date Range as needed in the filter bar
Click Filters for more options:
Search by: Mile radius or Zip code
Radius: how far out to pull comps
Property type
Property profile: Standalone or Rental community (20+ unit apartment buildings)
Amenities & keywords included/excluded: pick an amenity, or type any word or phrase from a listing description
Click Generate report to pull the comps
Analyze an off-platform address
To pull comps for a property that is not in RentEngine, click Analyze off-platform address. Enter any U.S. or Canadian address along with the number of bedrooms and bathrooms, then click Add & analyze.
Note: This does not add the property to your portfolio, it's saved locally to your browser. Off-platform addresses don't use the Recommended view, since RentEngine has no property data to seed from, so filters need to be set manually.
The Recommended view
When you open a property with no saved search, the Market Tool automatically seeds filters based on what RentEngine knows about that unit. No manual setup is needed.
The Recommended view sets:
Beds and baths: same as the subject unit
Sqft: a ±200 sqft band; comps with blank sqft are still included
Furnished: if the subject unit is furnished, only furnished comps are compared; unfurnished units drop furnished comps
Property type: if the subject unit is in a multifamily building with 50+ units, rental communities are included; otherwise they're excluded
Radius: automatically narrows within the predefined options to keep the comp set to 45 results or fewer in dense markets
Note: Pool, parking, and laundry are not auto-filtered. Too few listings report this data (roughly 2% report parking, 24% report in-unit laundry), so auto-filtering would cut good comps just because the data is missing. You can still filter on these manually in Filters.
Saved searches
Once you adjust the filters or exclude a listing, that search saves automatically for that property. The next time anyone on the account opens the Market Tool for that property, it loads with the same filters and exclusions. A saved search always overrides the Recommended view.
The Filters button shows a number badge for how many filters are applied. A Last viewed label appears next to Highlights so you know the report is using a previously saved search.
New on Market
If new listings have appeared since you last viewed a property's report, a New on Market card appears in Highlights showing how many new units were added. Clicking the card scrolls down to the table.
In the All Units table, new listings show a "new" dot next to the address and sort to the top. If the property has never been viewed before, this card doesn't appear at all. If nothing new has appeared since your last visit, the card shows "0 new units."
Reading the results
Highlights: Median Rent, Median DOM (days on market), Competition (available units), and New on Market when applicable
Price Distribution: median rent with the lowest and highest comps
Supply-Demand Ratio: new listings per rented unit, with a status badge (Healthy, Oversupplied, or Undersupplied), a breakdown of available vs. rented units, and a segmented bar
Price vs. Days on Market: plots rented and available comps by price and how long they sat on the market
All Units: the full comp list. Search by address and toggle between Table and Map view. Click the checkbox next to any comparable to exclude it from calculations; exclusions save automatically along with your filters
Important notes
Results are based on publicly available listing data and should be used as a reference, not as an appraisal
Units with fewer than 2 days on market are excluded from the report
Properties with prices more than 3 standard deviations from the mean are automatically filtered out