Dynamic prices

Priced for the highest achievable rate, night after night

Software does the daily work, AI reads the market, and a revenue manager looks forward: pacing, lead time, gaps and events. You set the floor and keep the switch.

Your comp set

Priced against the listings guests actually compare you with.

The system discovers comparable listings on capacity, location and quality; your revenue manager curates the set by hand. Your rate is grounded in what the market really books for — not a guess.

Bright loft by the park

315avg per night
74% occupancy 4.7

City apartment with balcony

330avg per night
78% occupancy 4.8

Canal-side studio

345avg per night
81% occupancy 4.9

Garden house, sleeps four

298avg per night
71% occupancy 4.6

Design flat near the station

322avg per night
76% occupancy 4.8

Your listing

359on the strongest nights

Positioned above the set where your quality carries it — never blindly.

Illustrative comp set — your own set is built from your market and curated by your revenue manager.

From flat to managed

One flat price leaks on both ends.

Too cheap on the nights that would sell out anyway, too expensive on the quiet ones. Managed prices move with demand, day by day.

Before — one flat price

257257257257257257257257257257257257257257257257257257257257257257257257257257257257

The same number all year, whatever the market does.

After — managed daily

248255252260330345300250258255265340359310320335340350380395360252260258268342358305

Weekends and peak weeks priced up, quiet nights kept competitive.

quiet night peak nightIllustrative month.

Forward-looking

A tool looks back. We look ahead.

Dynamic pricing alone follows what the market did. These are the signals your revenue manager watches in front of the data:

Booking pace

Are the next 30 days filling faster or slower than they should?

Lead time

How far ahead your market books — and when to hold or drop.

Gap nights

Orphan nights between bookings, priced to actually sell.

Weekend premium

The structural Friday-Saturday uplift your flat price ignores.

Events & seasons

Conferences, holidays and school breaks, priced in ahead of time.

Minimum stay

Rigid minimums quietly block bookable nights; we tune them.

Benchmarked against real market data

Avg nightly rate

€262

Occupancy

66%

RevPAR

€173

Derived: rate × occupancy

Market rating

74/100

Real submarket figures, Amsterdam market, July 2026 — the same data your dashboard benchmarks against. Your market's numbers will differ.

A HostRev revenue manager watching listings

Not bare automation

A person looking at your prices, not an algorithm doing it alone.

A self-service pricing tool gives you a dashboard to keep up with, and its prices lean on the past: it looks barely, if at all, at pacing and lead time ahead, so you still run behind the facts. We give you a result: the best existing software plus top AI models, with an experienced revenue manager at the controls, steering ahead on how your calendar fills. The engine never prices below your floor, and you pause it in one click.

Pacing

how fast your calendar fills vs. normal

Lead time

how far ahead guests book

Market demand

what your local market is doing

The result

What managed prices did for a real listing.

Real pilot, Vinkeveen — one month, Apr–May 2026

Before

11,583

After

16,169

+40%

Attributed result for one listing over one month. Not a guaranteed outcome; you see your own numbers in your dashboard and monthly report.

You stay in control

  • You set the floor price — rates never drop below it.
  • Switch off anytime; pricing runs for at least one month per listing.
  • Every change is visible in your dashboard, nothing happens silently.

Fix all three, and they pay for each other.

Better listing, smarter prices, happy guests. One login, one bill.

30-day money-back, you keep the improved photos. A revenue manager keeps an eye on it. You keep the switch.