OTA gross booking share (common range)
35% - 68%
Higher OTA concentration is most common in properties with weak branded search and low CRM retention depth.
Source: HotelsSEO channel audits (2024-2025) (internal benchmark)
Use this data to model margin impact and decide where to prioritise acquisition spend between direct channels and OTA demand capture.
OTA gross booking share (common range)
35% - 68%
Higher OTA concentration is most common in properties with weak branded search and low CRM retention depth.
Source: HotelsSEO channel audits (2024-2025) (internal benchmark)
Typical OTA commission impact on net room revenue
12% - 24%
Commission pressure compounds when properties depend on last-minute OTA fill.
Source: HotelsSEO channel audits (2024-2025) (internal benchmark)
12-month repeat booking likelihood: direct vs OTA first stay
1.7x - 2.6x higher for direct
Direct-first journeys preserve first-party relationship data and allow retention sequencing.
Source: HotelsSEO CRM and booking analysis (2025) (internal benchmark)
Recoverable OTA share within 9 months
6% - 18%
Recovery tends to come from branded paid search, local SEO depth and post-stay CRM journeys.
Source: HotelsSEO growth programs (2025) (internal benchmark)
Figures combine anonymised hotel portfolio reporting with recurring channel-mix diagnostics completed during account onboarding.
It depends on market and property model, but many teams aim to reduce concentration risk while preserving occupancy efficiency.
Yes. OTA stays can become direct repeat demand when post-stay CRM and on-property capture tactics are strong.
Most properties should phase reductions gradually while tracking occupancy, ADR and net contribution impacts each month.
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