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Based on data from the Semrush Traffic Analytics tool, this page reveals the most visited websites. We will be updating this list on a monthly basis, so you can keep track of all the market shifts and spot changes in user interest.
Most Visited Hospitality Websites in Japan, Updated May 2024
| Position | Website | Change | Visits | Pages / Visit | Bounce rate |
|---|---|---|---|---|---|
| 1 |  jalan.net | – | 42,566,018 | 4.85 | 52.62% |
| 2 | tokyodisneyresort.jp | – | 10,851,793 | 6.64 | 38.35% |
| 3 | ikyu.com | – | 9,191,417 | 3.15 | 58.42% |
| 4 |  booking.com | 1 | 7,226,431 | 5.82 | 38.22% |
| 5 | jtb.co.jp | 1 | 6,395,360 | 3.14 | 55.41% |
| 6 |  agoda.com | – | 6,106,748 | 6.55 | 40.27% |
| 7 | ozmall.co.jp | – | 5,377,254 | 2.33 | 64.04% |
| 8 | tablecheck.com | – | 4,474,539 | 1.67 | 70.9% |
| 9 | happyhotel.jp | 3 | 3,488,931 | 5.31 | 35.6% |
| 10 | knt.co.jp | 1 | 3,304,542 | 2.41 | 68.26% |
| 11 | toyoko-inn.com | 1 | 2,874,094 | 7.21 | 32.13% |
| 12 | tour.ne.jp | 1 | 2,777,318 | 3.63 | 44.62% |
| 13 | apahotel.com | 2 | 2,475,686 | 4.09 | 40.31% |
| 14 | rurubu.travel | 2 | 2,180,139 | 2.8 | 52.67% |
| 15 | hotel-story.ne.jp | 1 | 2,080,502 | 4.3 | 37.19% |
| 16 | tobu.co.jp | 1 | 2,072,667 | 2.56 | 59.23% |
| 17 | hotels.com | 1 | 1,625,640 | 3.3 | 72.21% |
| 18 |  marriott.com | 3 | 1,541,963 | 6.75 | 37.32% |
| 19 | hoshinoresorts.com | 4 | 1,443,633 | 1.86 | 66.06% |
| 20 | princehotels.co.jp | 3 | 1,416,985 | 2.43 | 50.88% |
Key Insights on Top Hospitality Websites in Japan in May 2024
As of May 2024, jalan.net is the most visited Hospitality website in Japan, attracting 42.57M monthly visits. tokyodisneyresort.jp follows with 10.85M visits, and ikyu.com records 9.19M visits.
In terms of user engagement, the average number of pages per visit across these sites is 4.04, with toyoko-inn.com leading at 7.21 pages per visit.
The average bounce rate is 50.74%, with hotels.com having the highest at 72.21%.
And toyoko-inn.com leads the way with the lowest bounce rate at 32.13%.
These insights come from the .Trends platform, enriched with extensive clickstream data.
Our AI algorithms analyze petabytes of information from a blend of proprietary and external data pools, reflecting the online activities of over 200 million anonymized users.
For more detailed information on our data-gathering and analysis process, please visit our information page here.
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Last updated: June 12, 2024