Host-onlyComps • Market curves • Booking velocity

Airbnb Market Analysis & Comp Workspace for Hosts

Pricing isn’t hard because data is missing — it’s hard because it changes, disappears, and gets messy fast. This keeps a living comp set by neighborhood, shows comps by date, and adds market context so you can make calm, repeatable decisions.

  • A Comp Workspace that remembers your comps (labels, last seen, visibility %, stale vs active)
  • Comps by date: Wishlist Grid + Date Inspector (distribution on click)
  • Market context: p25/median/p75 bands, occupancy pressure, and pickup momentum

Comp Workspace

Persistent comp sets + scan-aware views

Comp Workspace (table + status)
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Why hosts use a Comp Workspace

Most hosting workflows break down in the same places: comps get forgotten, “good” comparables stop showing up, and pricing decisions become a mix of memory and one-off searches. This product is built for consistency: same comp set, refreshed by scans, with market context layered on top.

Stop re-finding comps

Keep labeled comps in one place and revisit them anytime.

Track last seen and visibility % across scans.
Stale comps are easy to spot and replace.

Price with context

See price bands and occupancy pressure by date.

p25/median/p75 across the scan window.
Weekday vs weekend dynamics when they matter.

Track momentum

Booking velocity (pickup) from scan history.

See availability tighten or loosen by date.
Use it as a signal, not a guess.

A simple workflow: scan → comp set → decisions

1) Define a market

Neighborhood, stay length, filters, scan depth.

Run a scan and save the market so future scans are comparable.

2) Maintain your comps

Pin from the map or add room IDs. Label what matters.

The Comp Workspace keeps a clean set as the market changes.

3) Inspect dates

Use the Date Inspector to see the distribution instantly.

Compare your unit(s) to comps and decide where to position.

Airbnb comps, organized: the Comp Workspace

Instead of rebuilding comps in spreadsheets, keep a comp set you can label and revisit. Each scan updates what was visible and at what price, so your reference set stays grounded in real availability.

Persistent comp tracking

Last seen, times seen, visibility %, stale/never seen

  • Label comps so you remember why they’re comparable
  • See which comps are consistently visible vs disappearing
  • Keep the set clean (stale comps stand out quickly)

Portfolio-friendly

For individual hosts and property managers

  • Track multiple neighborhoods (markets)
  • Add your own units and compare them to your comp set
  • Re-scan to build history without changing your workflow

Comps by date: Wishlist Grid + Date Inspector

View comp pricing across future dates from your latest scan, then click a date to instantly see the comp distribution (min/median/p25/p75) and where your units sit in that range.

Wishlist Grid + Date Inspector
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Visibility
See which comps are visible in search for each date.
Distribution
Inspect comp percentiles (p25/median/p75) on a selected date.
Positioning
Compare your unit(s) to the comp set and see a percentile-based positioning suggestion.

Map + pinning: shortlist comps spatially

Explore the neighborhood on a map, inspect listings quickly, and pin comps you want to track. The Comp Workspace stays consistent while the scan data refreshes.

Market map + pinning comps
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Airbnb market analysis: price bands and occupancy pressure

Each scan produces pricing bands (p25/median/p75) and forward curves that help explain why certain dates support premium pricing while others don’t.

Price bands by date

Understand the spread, not just an average

Price bands + curve view
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Weekday vs weekend dynamics

See different pressure profiles by day type

Weekday vs weekend curves
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Booking velocity (pickup): demand momentum between scans

With scan history for the same market definition, pickup shows how availability changed between snapshots. It’s a practical way to see where demand is accelerating.

Booking velocity (pickup) + demand strip
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Booking velocity becomes available after enough deep scans exist for a market signature.

Pricing

Start with a free trial. After that, plans scale with portfolio size and scan volume.

Free trial

Try the workflow end-to-end

Card required • cancel anytime
Enough credits to run real scans and build a comp set

Starter

Individual hosts

Comp Workspace + Wishlist Grid + market curves
Track a small set of markets and units

Pro / PM

Higher volume + momentum tracking

More markets/units + deeper scan history
Booking velocity (pickup) + weekly market insight email

FAQ

What are Airbnb comps?

And why do they need a workspace?

Comps are comparable listings used to anchor pricing decisions. A Comp Workspace helps you keep that set organized, labeled, and refreshed across scans—so you’re not starting from scratch each time.

What does “visible in search” mean?

Why a comp can be missing on some dates

It means the listing appeared in the market’s search results for that date and stay length. If it’s not visible, it may be booked, blocked, or simply not shown for that query.

What does the Date Inspector show?

Comp distribution by date

The Date Inspector summarizes the visible comp distribution on a selected date (min/median/p25/p75, etc.) and can show how your unit(s) sit within that distribution.

What is pickup (booking velocity)?

Demand momentum from scan history

Pickup measures how visible availability changes between scans for the same market definition. Positive pickup generally means fewer listings remained available—consistent with rising demand.

Is this a dynamic pricing tool?

What it does (and doesn’t) automate

It’s market intelligence with a Comp Workspace. It helps you build and maintain a comp set, inspect pricing distributions by date, and track demand signals—so you can decide how to price with clearer context.