How Does Price Disparity Arise & How to Solve It
Distribution

How Does Price Disparity Arise & How to Solve It

D
DJUBO Editorial Team·Jan 19, 2023·3 min read
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Rate parity is defined as consistent pricing of a hotel on a particular day across all Online Travel Agencies and distribution channels — such as Agoda, Expedia, Cleartrip, MakeMyTrip, Booking.com, and Goibibo.

What Causes Price Disparity?

Price disparity arises when the same room at the same hotel shows different rates on different booking platforms. This can happen due to:

  • Manual rate updates: When rates are updated manually on each OTA extranet, delays and errors lead to inconsistent pricing
  • OTA promotions: Some OTAs run their own promotions or apply loyalty discounts that undercut the hotel's published rate
  • Currency conversion: International OTAs may display different rates due to currency conversion differences
  • Commission variations: Different commission structures across channels can lead hotels to set different base rates

Why Rate Parity Matters

Rate parity violations can damage your hotel in several ways:

  • OTAs may penalise your listing visibility if they detect lower rates elsewhere
  • Guest trust erodes when they find different prices on different platforms
  • Revenue management becomes unpredictable when pricing is inconsistent

How to Solve It

The most effective solution is to use a channel manager that pushes rates simultaneously to all connected OTAs from a single dashboard. This ensures:

  • Real-time rate updates across all channels
  • Zero manual errors from extranet-by-extranet updates
  • Consistent pricing that protects your OTA rankings and guest trust
  • Full control over your distribution strategy from one place

Maintaining rate parity isn't just about compliance — it's about protecting your revenue, your OTA visibility, and your brand reputation.

D

DJUBO Editorial Team

Contributing Writer at DJUBO

Writing about hotel technology, revenue management and the future of hospitality. Helping hoteliers make data-driven decisions.

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