PriceLabs Neighborhood Chart Occupancy Data: Read the Green Line Early

Most hosts open the PriceLabs market dashboard, glance at the calendar, and close the tab. They miss the second chart, the neighborhood occupancy chart. Which is the single best leading indicator of whether your market is on pace or sliding behind last year by 8 to 12 points of occupancy.

That chart has two lines. The green line shows booking momentum over the last seven days. The red line shows cumulative occupancy stacked across the calendar. Read them together and you can call your season six weeks before your bank account confirms it.

What the PriceLabs Neighborhood Chart Actually Shows

The neighborhood chart lives in the PriceLabs market dashboards, the second visual under the calendar heatmap. It plots two distinct data series against the same 365-day x-axis. One is a rolling pace metric. The other is a stacked total.

The green line tracks how many bookings have landed in the last week for each future check-in date. Think of it as a heartbeat. When a date is heating up, the green line over that date rises. When it cools, the line falls toward zero.

The red line is the cumulative occupancy already booked for each future date. It only goes up, never down, unless cancellations land. Compare its shape against last year's red line, and you see whether the market is pacing ahead or behind.

Why Most Hosts Skip This Chart

It looks busy. Two lines, hundreds of data points, no big number at the top. Hosts want a single occupancy percentage and a recommendation. The neighborhood chart gives you raw signal, not advice.

That is the point. Advice lags. Signal leads.

The Green Line Decoded: Momentum Reading

The green line is your booking velocity. Picture a destination ski market like Park City or Breckenridge. The green line spikes three times a year for winter dates. roughly nine months out when planners book early, four months out when families lock in flights, and six weeks out when last-minute travelers fill remaining inventory.

Between those spikes are dead zones. A dead zone is a stretch where the green line drops near zero for a future date. Most hosts panic and discount. Smart operators recognize the dead zone as a known pattern and hold the rate.

Discounting during a known dead zone is how you give away margin for nothing.

Spike Patterns by Market Type

Ski markets, beach markets, and urban event markets each have their own momentum shape. Pull up the green line for your specific neighborhood and trace it backward across the full year. The shape repeats with eerie consistency. The lead time brackets your market actually uses are baked into that line.

The Red Line Decoded: Cumulative Pace

The red line answers one question. For any given future date, what percent of inventory is already booked across the neighborhood? You compare that number to the same date last year.

If the red line for July 4 weekend sits at 62% booked today and the same date last year sat at 58% booked, your market is pacing 4 points ahead. Hold or raise your rate. If today reads 49% and last year was 58%, you are 9 points behind. Now you decide. drop the rate, drop the minimum stay, or both.

The red line never lies. It is bookings already on the calendar, not a forecast.

The 85 Percent Occupancy Projection

Use last year's red line as a template. Where did it land on the day each future date arrived? That terminal occupancy is your benchmark. If last July 4 closed at 91% market occupancy, you can project this July 4 against the same curve. Then track weekly green-line deviations to refine the forecast.

This is how you call an 85% season in March instead of finding out in August.

Reading Green and Red Together

Neither line alone tells the whole story. You read them in pairs, and the four combinations each demand a different move.

The bottom two rows are the panic rows. The top two rows are where most amateurs panic anyway, because they only look at the green line and assume any flatness is bad. It is not bad if the red line shows you are already ahead of pace.

The Weekly Check Cadence

Look at the chart once a week, same day, same time. Tuesday morning works for most operators because weekend booking activity has settled into the data. Daily checks add noise. Monthly checks miss inflection points.

How to Use the Chart to Set Base Rates

Set your base rate against last year's terminal red line, not against today's spot rate on the calendar. Today's spot rate is whatever your competitors panicked into yesterday. Last year's terminal occupancy is the truth of what the market will absorb.

Find a neighborhood comp set that closes around 75 to 85% occupancy in your target month. Note their average daily rate at terminal close, not their listed rate today. That terminal ADR is your ceiling. Your floor is breakeven plus 10%.

Anything between those two numbers is fair game, and the green line tells you where in the band to sit each week.

When the Chart Says Hold

If the green line is in a known dead zone and the red line is on pace or ahead, do nothing. Holding is an action. Most hosts cannot tolerate holding because the calendar feels empty. Discipline pays here.

Compare your manual price reads against the dynamic tool's recommendation before you override anything. The tool may be right.

Building a Year-Over-Year Pace Model

Screenshot the red line every Tuesday. Save the file with the date. Over six months you build a folder of weekly pace snapshots that lets you measure how fast your market typically fills each segment of the calendar.

This is unglamorous. It is also the work that separates operators who scale from operators who guess. The tool participation rate in your specific market determines how representative the neighborhood data is.

In markets with thin PriceLabs adoption, supplement with a manual count of your top 20 comps on Airbnb directly. Open each listing, note their booked nights for the next 60 days, average it. That gives you a sanity check against the chart.

The Operator I Watch Closest

A Smoky Mountains host I trade notes with runs 14 cabins between Gatlinburg and Pigeon Forge. She pulls the PriceLabs neighborhood chart every Tuesday at 7am Eastern, screenshots it, and drops it in a Slack channel with a one-line read. Her note from last March said "red line 7 points behind on April weeks, green flat, dropping minimum from 3 to 2 nights." Her April occupancy closed at 84% while neighbors closed at 71%. She read the chart and moved on a Tuesday.

The hosts who read the chart act on Tuesday. The hosts who do not read the chart discount in August and wonder where the season went.

Pairing the Chart With Your Own Listing Data

The neighborhood chart is market-level. Your listing pace can deviate from the market for reasons specific to you: a stale hero photo, a thin review base, a competitor with a new hot tub. Cross-check market pace against your own pickup report.

If the market red line is on pace and your listing is 15 points behind, the problem is not the market. It is you. Audit your amenity stack and defensive features before you touch price.

If the market red line is behind and your listing is also behind by the same amount, you are matching the market. Price moves alone will not fix a market-wide slowdown. Open the calendar with shorter minimum stays and let length-of-stay flexibility do the work.

For deeper context on industry-wide data sources, the AirROI free market dashboard can cross-validate what PriceLabs shows you, and the official Airbnb help center documents the platform-level signals

Use current platform documentation as a guardrail. Start with Airbnb Help, Airbnb host resources, AirROI market tools before you make a pricing, legal, or operating decision.

Price is not the whole problem.

Stage decides the right move.

Run the same review on one listing before you change the whole business. Pull the next 30 days of availability. Count the gaps, weak weekdays, and blocked weekends. Then compare those dates against your photos, rules, reviews, and price. Change one constraint at a time. Give the market seven days to answer before you change the next one.

A good article, course, or coach should make the next action obvious. The output should be a spreadsheet, checklist, message template, pricing rule, or market scorecard you can use today. If the advice stays general, it will not help the listing. If the advice creates one measurable action, you can test it. That is the difference between content that sounds smart and work that changes bookings.

Use current platform documentation as a guardrail. Start with Airbnb Help before you make a pricing, legal, or operating decision.

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