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Travel · head to head

Cloudbeds vs PriceLabs

Cloudbeds logo

Cloudbeds

Travel

Cloud-based hospitality management platform unifying PMS, channel management, and booking engine

From
On request
Rated
-
Full reviewWebsite
PriceLabs logo

PriceLabs

Travel

Dynamic pricing and market data for vacation rentals and small hotels

From
$19.99/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cloudbeds pricing requires custom quote; no published pricing tiers visible, making budgeting and comparison difficult; PriceLabs the market dashboard is a separate subscription from the pricing engine, so the widely quoted 19.99 figure is not what most serious users pay per listing.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cloudbeds and PriceLabs actually diverge.

Attributes where Cloudbeds and PriceLabs differ
AttributeCloudbedsPriceLabs
Starting priceOn request$19.99/month
Pricing modelquotePer listing per month
PlatformsWeb, iOS, Android, APIWeb

Identical on both: free tier (No), user rating (Not yet rated), category (Travel).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Cloudbeds

Nothing recorded that PriceLabs does not also cover.

Only in PriceLabs

  • Dynamic nightly pricing
  • Customisable profiles
  • Minimum stay automation
  • Orphan gap handling
  • Market dashboards
  • Neighbourhood data
  • Portfolio management
  • Direct channel and PMS sync

What people use each for

The jobs each tool is most often brought in to do.

Cloudbeds

  • Independent hotels and boutique hospitality businesses automating PMS and distributionnot PriceLabs
  • Vacation rental hosts (Airbnb, VRBO) consolidating multi-channel bookings and messagingnot PriceLabs
  • Hostels and backpacker accommodations using commission-free booking engine to reduce dependency on OTAsnot PriceLabs
  • Small-chain hospitality operators managing multiple properties from one interfacenot PriceLabs
  • Properties seeking revenue management and dynamic pricing without enterprise-level PMS costsnot PriceLabs
  • Hospitality businesses using AI-driven guest messaging and support automationnot PriceLabs

PriceLabs

  • A manager encoding a single pricing policy across two hundred listings rather than tuning each onenot Cloudbeds
  • An owner in a seasonal market wanting automatic last-minute discounting without watching the calendarnot Cloudbeds
  • An operator filling orphan gaps that would otherwise sit empty between bookingsnot Cloudbeds
  • A small hotel on Cloudbeds wanting rental-style demand pricing without a full revenue management systemnot Cloudbeds

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cloudbeds

  • Pricing requires custom quote; no published pricing tiers visible, making budgeting and comparison difficult
  • Per-property pricing model means costs scale rapidly for multi-property management; portfolio growth increases operational expenses
  • Revenue Intelligence (AI pricing) locked behind premium tier; base offering lacks dynamic pricing automation
  • Limited offline functionality; properties with poor connectivity face operational challenges
  • Chatbot and messaging automation require configuration; setup complexity increases for non-technical operators

PriceLabs

  • The market dashboard is a separate subscription from the pricing engine, so the widely quoted 19.99 figure is not what most serious users pay per listing.
  • The revenue share alternative at one per cent of bookings is a poor deal for high average daily rate properties, where it can cost several times the per-listing price.
  • Market data quality collapses in destinations with few tracked listings, which is precisely where an owner has the least pricing intuition of their own.
  • It will happily discount to zero margin if the base price and minimum are set carelessly, and the tool does not know your cost base, so an inattentive user can lose money faster than they would manually.
  • It prices but does not distribute or manage; you still need a PMS or channel manager underneath, and rate push failures between the two systems are a recurring support burden.

Pricing, plan by plan

Cloudbeds

On request

No published plan breakdown. See the Cloudbeds review.

PriceLabs

$19.99/month
  • Dynamic Pricing$19.99/month
    • Per listing per month at low volume
    • Volume tiers fall toward about 5.99 per listing past 100 units
    • Rate, minimum stay and orphan gap automation
  • Market Dashboard$9.99/month
    • Charged separately from the pricing engine
    • Competitor rates, occupancy and forward demand
    • Per market subscribed
  • Portfolio$499/month
    • Flat monthly rate for larger portfolios, roughly 60 units and above
    • All pricing features included
    • Alternative to per-listing billing
  • Revenue share option$undefined/month
    • One per cent of booking revenue instead of a per-listing fee
    • Suits low-rate or low-occupancy listings
    • Becomes expensive on high average daily rates

Which should you pick?

Choose Cloudbeds if

  • You work on Web, iOS, Android, API.
Cloudbeds review

Choose PriceLabs if

  • You need dynamic nightly pricing.
  • You also want customisable profiles.
PriceLabs review

Questions people ask

Is Cloudbeds or PriceLabs better?
Neither clearly leads. Cloudbeds starts at On request and PriceLabs at $19.99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cloudbeds or PriceLabs?
Cloudbeds starts at On request and PriceLabs at $19.99/month.
Does Cloudbeds or PriceLabs run on more platforms?
Cloudbeds runs on Web, iOS, Android, API. PriceLabs runs on Web.
What is Cloudbeds best used for?
Cloudbeds is most often used for independent hotels and boutique hospitality businesses automating pms and distribution, vacation rental hosts (airbnb, vrbo) consolidating multi-channel bookings and messaging, hostels and backpacker accommodations using commission-free booking engine to reduce dependency on otas, small-chain hospitality operators managing multiple properties from one interface. Of those, independent hotels and boutique hospitality businesses automating pms and distribution and vacation rental hosts (airbnb, vrbo) consolidating multi-channel bookings and messaging are not what PriceLabs is typically brought in for.
What can Cloudbeds do that PriceLabs cannot?
PriceLabs covers Dynamic nightly pricing, Customisable profiles, Minimum stay automation, Orphan gap handling.

Answered from the vendors’ own pages

Cloudbeds: Does Cloudbeds have a commission-free booking engine?

Yes. Cloudbeds provides a commission-free booking engine allowing guests to reserve directly on the property website without OTA transaction fees. This reduces distribution costs compared to Booking.com and Airbnb.

Source
PriceLabs: What does PriceLabs cost for ten listings?

Around 19.99 US dollars per listing per month at that volume for dynamic pricing, plus about 9.99 per market for the dashboard if you want the competitor data.

Cloudbeds: What channels does Cloudbeds distribute to?

Cloudbeds distributes to 450+ booking channels including Airbnb, Booking.com, Expedia, Agoda, and regional OTAs, all managed from one interface.

Source
PriceLabs: Should I take the one per cent revenue share instead?

Only if your average nightly rate and occupancy are low. On a listing earning 40,000 dollars a year the revenue share costs roughly 400 dollars against about 240 for the per-listing plan.

Cloudbeds: Does Cloudbeds provide revenue management?

Yes. Revenue Intelligence uses AI-powered demand forecasting (95% accuracy) to recommend dynamic pricing, maximising revenue per available room (RevPAR).

Source
PriceLabs: Does it work for hotels?

It connects to Cloudbeds and similar systems and is used by small properties, but it is built around rental demand signals rather than hotel segmentation and forecasting.

PriceLabs: Can I override the algorithm?

Extensively. Base price, minimum and maximum, seasonal profiles and day-of-week adjustments are all directly editable and reusable across a portfolio.

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