The board ranks every listing against its own market by the money at stake. Use it
to find the worst performers in dollars, not in feelings, and to see which of them are not a
pricing problem at all.
Open the board
Why this matters: the board is the only screen that sorts the whole fleet by
money you are about to lose in the next 30 nights.
Sign in at app.hostassist.ai. You should see the dark dashboard with the menu on the left.
Click Money in the menu, then click Market Board. The page is headed Pricing board. The menu calls it Market Board, which is the same screen.
Read the grey line under the heading. It says when forward data was last refreshed. If that is more than a day old, tell an admin before you act on it.
Step 3Controls on top, six summary tiles, the chips, then the table. Everything below the controls obeys them.
Set the window and the measure
Why this matters: the same listing looks fine in one window and terrible in
another. Picking the window is picking the question you are asking.
Under WINDOW, click 7 nights, 15 nights, 30 nights, 60 nights or 180 nights. 30 nights is selected when you arrive. Work 7, 15 and 30 daily. Read 60 and 180 for the season ahead.
Under MEASURE, click Occupancy, ADR or RevPAR. The table column next to each listing changes to the measure you picked.
Under VIEW, leave Portfolio selected for now. Portfolio groups by client. Property lists every listing on its own.
Use the FIND box to jump to one client or listing by name. The table filters as you type.
Steps 4 to 7One strip, four controls. There is no 90 night window because PriceLabs does not have one.
Read the six tiles
Why this matters: the tiles turn the whole fleet into one sentence you can
repeat in a stand up.
Read the first two tiles, listings scored and portfolios. That is how much of the fleet had enough data to be scored at all.
Read empty nights, next 30 and at risk, next 30. Empty nights is unsold nights. At risk is those nights valued in money.
Read the last two tiles, underpriced and not a price problem. The second one is the important one. Those listings will not be fixed by changing a rate.
Steps 8 to 10Money at risk carries a currency note. The fleet spans several currencies and rates are not converted.
Filter with the diagnosis chips
Why this matters: the chip is the agent's diagnosis. Working one chip at a
time keeps you from mixing rate problems with visibility problems.
Look at the chip row under the tiles. Each chip has a name and a count, such as underpriced, overpriced, demand and visibility, winning, at market, blocked, rate unknown.
Click one chip, for example underpriced. The table below shrinks to only those listings. Click the chip again to clear it.
Treat blocked and rate unknown as data faults, not pricing jobs. Blocked means the calendar is shut. Rate unknown means there is no benchmark to compare against yet.
Steps 11 to 13The counts add up to more than the listings scored, because a listing can carry more than one flag.
Work the table
Why this matters: the table is already sorted by money. The top row is the
most expensive problem you have today.
Read the column headings: portfolio, occupancy, market, MPI, empty nights, at risk, mix. The small arrow next to AT RISK shows the table is sorted by it.
Compare occupancy with market on the same row. Occupancy is yours. Market is what similar properties are doing over the same nights.
Read MPI as volume against the market, where 100 is parity. Above 100 means you are filling faster than the market. Below 100 means slower.
Read the mix column on the right. It counts that portfolio's listings by diagnosis, so you can see if one client has a single bad listing or a pattern.
Steps 14 to 17Rows span several currencies, so the order compares nominal amounts. Sort by empty nights or MPI to rank across currencies.
Drill into one listing
Why this matters: a portfolio does not have a price. A listing does. This is
where a finding becomes a job.
Click Property under VIEW. The table swaps from clients to single listings, still sorted by money at risk.
Read the second line under a listing name. It names the portfolio, the suburb and the bedroom count, so you know which listing you are looking at.
Look for an action chip on the row, such as Rescue this gap, Correct the pace or Fix the floor breach. Clicking it takes you to the play for that listing, with the dates already loaded.
Read the plain English note in the last column before you touch price. Lines like price is not the lever, check rank, photos and reviews mean the fix is not a rate change.
Steps 18 to 21Same money order, one listing per row, with the next action offered on the row itself.
Read the notes under the table
Why this matters: the notes tell you how much of the fleet the board could
not score, and which listings are broken rather than badly priced.
Scroll below the table to Where the data thins out. It says how many live listings have no forward data, so they cannot be priced or benchmarked here at all.
Read Fix these before pricing. Three counts: price push disabled, fully blocked calendars, and listings hidden in PriceLabs.
Fix firstA listing with price push disabled is not reaching the channel. No rate change will help it until that is fixed.
Read How to read it before you quote any number from this screen. It defines money at risk as empty nights times the market rate, which is why big portfolios outrank single weak listings.
Step 24Also says why the middle window is 15 nights: PriceLabs has no 14 night figure.
Three things that catch people out
Not a price problem is a real answer. Roughly a third of flagged listings need rank, photos or reviews work, and cutting the rate on those just gives money away.
The money column mixes currencies and does not convert them. Rank across clients with empty nights or MPI instead.
An occupancy of 0 percent with a rate unknown chip usually means a shut calendar, not a cheap listing. Check the calendar before you call it pricing.
Why the board sorts by money and not by percent
A listing 20 points below market sounds worse than one 5 points below. Now say the first is a studio in a quiet
suburb. Say the second is a five bedroom house in peak season. The second one costs far more to
ignore.
Sorting by money at risk puts the expensive problems at the top, whatever the percentages say.
Your day then runs top down, and you stop when the money gets small.