Customer story

The Brown Hotel drove $787k revenue by reducing their reliance on OTAs

The Brown Hotel used Triptease Metasearch to reduce its dependence on OTAs by driving more direct business through its own website, ultimately driving $787k incremental revenue influenced by interactions with Triptease’s tools.



Revenue generated
with metasearch


Conversion rate
(when in parity or offering
the best price)




Client: The Brown Hotel

Hotel Type: Independent

Location: Kentucky

Key Features:

Before we started using Triptease Meta, I can only imagine how much revenue on metasearch we were missing out on!


Corie Murray
Revenue Manager

Objectives :
  • To reduce their dependence on OTAs to bring business to their hotel, and to drive more direct business through their own website.

  • To decrease the number of price disparities guests were finding online.

  • To lower the cost of acquiring guests by boosting their metasearch performance.

Solutions :
  • The Triptease Platform provides tools for hotels to both attract and convert guests - independently of any OTAs. Triptease tools work all the way from search to the booking engine - bringing high-value guests to the website and helping them to book direct.

  • The Parity Management dashboard shows hotel staff a real-time view of the price disparities their customers are seeing online.

  • Monitoring and viewing the details of their disparities means The Brown Hotel can take immediate action to resolve them.

  • Triptease Meta adjusts every bid to ensure that the right budget is spent on every guest. Looking at demographic, behavioural, room availability, parity and CRS data means bids are calculated to maximise traffic quality and ROAS.

Results :
  • $787k incremental revenue influenced by interactions with Triptease’s tools.

  • 17.70%Conversion rate when in parity or offering a better price direct, and the Price Check widget is visible on the hotel website.

  • 13 ROAS with Triptease Meta.

  • $21.5kRevenue generated with metasearch.

Triptease helped us significantly decrease the cost of acquisition! 

Data recorded 1 April 2019 - 30 July 2019

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