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NYC Hotel Metasearch Intelligence — Google Hotels | TravelScrape
Posted: May 07, 2026
NYC Hotel Metasearch Intelligence —
From Rank #7 to Rank #2 Google Hotels · Kayak · Trivago
How a 280-room NYC Midtown hotel used TravelScrape's Metasearch Intelligence to discover they were losing to Marriott and Hilton on Google Hotels, Kayak and Trivago — not on rate — and fix it in 45 days to gain 5 ranking positions and 31% more revenue.
#7 →#2Booking.com search rank↑ 5 positions in 45 days+31%Booking.com revenue↑ First 60 days post-fix8.1 →8.6Review score (Booking.com)↑ +0.5 in 90 days72 →96%Listing quality score↑ Fixed in 3 weeks45 daysTime to rank #2No rate change neededProject OverviewNYC Hotel Metasearch Intelligence — losing clicks on Google Hotels without knowing itIn September 2024, the revenue manager of a 280-room independent hotel in NYC Midtown opened a troubling report: their Booking.com bookings had dropped 28% year-over-year, despite rates being within $15 of the previous year. The standard diagnosis — "it must be rates" — was wrong. The real problem was hiding across five competitive dimensions the team had never measured simultaneously.
The hotel was ranked #7 on Booking.com search in the Times Square–Midtown corridor. Not because of rate — but because Marriott had 48 more photos, a 0.8 higher review score, and was winning position #1 on Google Hotels, Kayak and Trivago every weekend while the client hotel wasn't even visible on metasearch.
About the Author
Conrad Hotels location data scraping Usa delivers insights into luxury hotel distribution pricing occupancy trends and performance.
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