{"id":6104,"date":"2025-02-14T08:21:25","date_gmt":"2025-02-14T08:21:25","guid":{"rendered":"https:\/\/123compare.me\/?p=6104"},"modified":"2025-11-19T11:15:27","modified_gmt":"2025-11-19T11:15:27","slug":"evolution-price-parity-hotel-sector-january-2025","status":"publish","type":"post","link":"https:\/\/123compare.me\/en\/evolution-price-parity-hotel-sector-january-2025\/","title":{"rendered":"The \u2018last minute\u2019 factor: a critical key to understanding Disparity in January 2025"},"content":{"rendered":"\n

Evolution of Price Parity in the Global Hotel Sector in January 2025<\/h2>\n\n\n\n

123compare.me has published the results for January 2025 from its monthly report on the evolution of price parity in the global hotel sector, the World Parity Monitor.<\/p>\n\n\n\n

The general objective of the World Parity Monitor is to determine the state of Price Parity across different OTAs compared to the official price of 3-, 4-, and 5-star hotels.<\/p>\n\n\n\n

The collected data shows behavioral patterns very similar to the trends observed in 2024 regarding price parity: booking anticipation, length of stay, and the type of distribution channel continue to be key factors in understanding the pricing strategies deployed by online intermediaries. <\/p>\n\n\n\n

Highlights January 2025: Evolution of Price Parity in the Global Hotel Sector<\/h2>\n\n\n\n
    \n
  1. The major OTAs (Booking Holdings and Expedia Group) are less aggressive in pricing than other OTAs. <\/li>\n\n\n\n
  2. Metasearch engines record the highest lose rate, as they aggregate different offers from various distribution platforms with disparity at the source.<\/li>\n\n\n\n
  3. OTAs apply more aggressive discounts for last-minute bookings.<\/li>\n\n\n\n
  4. OTAs implement more aggressive pricing strategies for short stays, increasing disparity in this segment.<\/li>\n\n\n\n
  5. Price disparity is higher when expected occupancy is greater.<\/li>\n<\/ol>\n\n\n\n

    More specifically, the study clearly shows that OTAs aim to maximize booking conversions, and to this end often apply aggressive discounts on last-minute bookings.<\/p>\n\n\n\n

    This could be due to:<\/p>\n\n\n\n

      \n
    • Conversion optimization:<\/strong> OTAs lower prices to attract customers seeking immediate availability.<\/li>\n\n\n\n
    • Use of wholesale rates or hidden discounts: <\/strong>Some OTAs apply unauthorized discounts on wholesale rates, creating disparity with the direct channel to capture last-minute bookings. <\/li>\n\n\n\n
    • Automated promotions: <\/strong>OTA algorithms detect unsold inventory and dynamically adjust prices to encourage quick bookings.<\/li>\n<\/ul>\n\n\n\n

      In this context, continuous price monitoring becomes a priority for hotels, and real-time strategy adjustments are the key to optimizing direct channel reservations.<\/p>\n\n\n\n

      1. Channel Typology<\/strong><\/h3>\n\n\n\n

      When analyzing the behavior of different types of intermediaries, we identify the following differences in their pricing strategies.<\/p>\n\n\n\n

        \n
      • Major OTAs (Booking Holdings and Expedia Group), <\/strong>implement less aggressive pricing strategies (see Graph 1).<\/li>\n<\/ul>\n\n\n\n

        Within Booking Holdings, Priceline and Agoda show the highest lose rate percentages. <\/p>\n\n\n\n

          \n
        • Other OTAs, such as Roompai, Vio, and Reserving,<\/strong> are significantly more aggressive in pricing, suggesting the use of wholesale rates or customer acquisition strategies through discounts.<\/li>\n<\/ul>\n\n\n\n
            \n
          • Metasearch engines <\/strong>register the highest lose rate, with an average exceeding 40%, compared to 27% for major OTAs and 38.3% for other OTAs (see Graph 2).<\/li>\n<\/ul>\n\n\n
            \n
            \"\"<\/figure><\/div>\n\n
            \n
            \"\"<\/figure><\/div>\n\n\n

            2. Relationship Between Channel Typology<\/strong>, Disparity, Booking Anticipation, and Length of Stay<\/strong><\/strong><\/h3>\n\n\n\n

            The January study further confirms the trend observed in previous months: price disparity tends to increase when booking anticipation is lower and stays are shorter.<\/strong><\/p>\n\n\n\n

              \n
            • In this regard, last-minute bookings<\/strong> (same day or same week) show a higher lose rate,<\/strong> as noted at the beginning of the report.<\/strong><\/li>\n<\/ul>\n\n\n\n
                \n
              • As booking anticipation increases, the lose rate decreases, <\/strong>suggesting that hotels have greater control over their rates for long-term reservations (see Graph 3).<\/li>\n<\/ul>\n\n\n
                \n
                \"Evolution<\/figure><\/div>\n\n\n
                  \n
                • Regarding the length of stay, shorter stays (1-2 nights) have a higher lose rate<\/strong>, whereas longer stays (7 nights) show lower price disparity <\/strong>(see Graph 4). <\/strong><\/li>\n<\/ul>\n\n\n
                  \n
                  \"Evolution<\/figure><\/div>\n\n\n

                  3. Relationship Between Expected Occupancy and Price Disparity<\/strong><\/h3>\n\n\n\n

                  Lastly, the analysis based on expected occupancy reveals the following insights:<\/p>\n\n\n\n

                    \n
                  • Higher expected occupancy<\/strong>: OTAs offer more aggressive pricing during these periods, with a lose rate of 37.6%. <\/li>\n<\/ul>\n\n\n\n
                      \n
                    • Lower expected occupancy:<\/strong>:The lose rate decreases to 30.2%.<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      About the WPM<\/strong><\/p>\n\n\n\n

                      The World Parity Monitor (WPM) provides a detailed view of the evolution of price parity in 3-, 4-, and 5-star hotels across the 60 most important tourist destinations worldwide.<\/p>\n\n\n\n

                      The study is based on the analysis of over 6 million monthly searches on Google Hotels, allowing for an evaluation of price differences between hotels\u2019 direct rates and those offered by OTAs.<\/p>\n\n\n\n

                      Methodology: Key Performance Indicators (KPIs)<\/strong><\/p>\n\n\n\n

                        \n
                      • Beat:<\/strong> The hotel\u2019s direct price is lower than OTA prices.<\/li>\n\n\n\n
                      • Meet:<\/strong> The hotel\u2019s direct price and OTA prices are similar (+\/- 0.5%).<\/li>\n\n\n\n
                      • Lose:<\/strong> OTA prices are lower than the hotel\u2019s direct price.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

                        Evolution of Price Parity in the Global Hotel Sector in January 2025 123compare.me has published the results for January 2025…<\/p>\n","protected":false},"author":10,"featured_media":6294,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[130],"tags":[108,29,22,82,83],"class_list":{"0":"post-6104","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-world-parity-monitor","8":"tag-direct-booking","9":"tag-direct-sales","10":"tag-marketing","11":"tag-otas-2","12":"tag-parity-2"},"yoast_head":"\nEvolution of price parity in the global hotel sector | January 2025<\/title>\n<meta name=\"description\" content=\"123compare.me has published the results for January 2025 from its monthly report on the evolution of price parity in the global hotel sector.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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