How Many Hotel Guests Leave a Review? Rates by Platform

Sources: OTA partner documentation, published industry and academic research, public statistics, and OTALift's own review-intake data from five monitored hotels and a 56-listing Booking.com span check.

Key takeaways

What percentage of hotel guests leave reviews? No platform publishes its hotel review rate (the share of stays that produce a review), so every figure you have seen is an estimate. Ours, per completed stay: about a third on Booking.com (range 25-45%, derived from Booking's own totals)¹², 10-30% on Expedia with low confidence, and roughly 2% on Google and Tripadvisor³. Platforms that email the booker collect tens of percent; open platforms, low single digits.

We tested the ranges against five hotels we monitor. Google reviews per stay landed between 1.2% and 2.1% in Milan, Kraków and Brooklyn, whatever the channel mix⁴. Booking plus Expedia reviews per stay spread from 4.8% to 21.5%.

Use the rate to turn a review count into stays and room nights, and carry the error bar: about 31% in our worked example, mostly from the rate itself.

Key numbers

• Booking.com: about 35% of completed stays produce a review (derived range 25-45%)¹².
• Expedia: 10-30% of stays, low confidence, no defensible point estimate⁴.
• Google: 1.2% to 2.1% of stays at five hotels⁴.
• Tripadvisor: about 2% of stays in Spanish studies, from under 1% to over 3% by city³.
• Turning one hotel's Booking count into room nights carried about 31% error⁴.

Why the percentage of hotel guests who leave reviews matters

A review count is the only volume signal the public can see, and competitors, analysts and revenue tools all read it. But 3,000 reviews mean nothing until you know how many guests leave a review, which in practice means what share of stays writes one. That share differs by platform by a factor of roughly twenty.

Do more reviews mean more bookings?

Higher scores and more reviews go with higher occupancy, but only associationally. Across 346 central Rome hotels in 2014, a one-point rise in the 1-10 average score was associated with about 9 points of occupancy (7.5 with controls), and volume helped with diminishing returns⁵. One city, one year, no causal design, so read it as direction, not a conversion. Booking has also weighted its score by recency since January 2025⁶.

Who can leave a review on each platform?

Booking.com and Expedia take reviews from reservations. Google takes them from anyone signed in, with no stay check stated.

Booking emails the booker about 48 hours after check-out and allows three months to answer. Opted-out guests may get nothing, and the booker must forward the questionnaire to a guest booked for⁷. Expedia sends automatic reminders (timing unpublished) and pools reviews across its brands⁸. Google bans anonymous reviews, but nothing stops restaurant, bar, event and wedding guests, or locals, from adding to your count⁹.

How long do Booking.com reviews stay on your page?

A public Booking count is roughly the last 36 months of reviews. Expedia and Google counts are lifetime totals.

Booking archives reviews after 36 months and recalculates the score⁶¹⁰. On 56 listings where we hold every review behind the public count, 38 sit at 35 to 37.5 months, 17 are younger, and the oldest span is 38.3 months. Expedia histories run back up to 163 months, Google's up to 171¹¹.

Divide a Booking count by three for a yearly intake. That fails on Expedia and Google, whose counts are lifetime. A falling Booking count can also be the archive rolling off.

Do cancellations and no-shows reduce the rate?

Cancellations and no-shows shrink the denominator: these rates are per completed stay. In HOTREC's 2026 study hotels reported the share of 2025 bookings cancelled: Booking.com 19.0%, Expedia 11.7%, direct 9.1% (unweighted means)¹². Divide Booking reviews by every Booking reservation and you understate the rate by up to a fifth. A review from a guest who cancelled can still exist¹³.

A review also belongs to a reservation: a party of six in three rooms yields at most one⁷.

Hotel review rate by platform and in five real hotels

What percentage of hotel guests leave reviews?

About a third of stays on Booking.com, an unknown share on Expedia, and about 2% on Google and Tripadvisor; no platform publishes its own rate.

Platform	Rate per stay	Method	Confidence
Booking.com	about 35% (25-45%)	DERIVED, caveat below	Medium band, low point
Expedia and Hotels.com	10-30% indicative, no point	Assumed channel share, OTALift data	Low
Google	about 1.7% (1.2-2.1%)	OTALift data, mean of five	Medium
Tripadvisor	about 2% (0.4-3%)	ACADEMIC3	Medium
Agoda	not estimated	none	none
Airbnb (analogue)	67% (2014); 60-75% (2024 Spain)3	ACADEMIC	Low as a hotel proxy

Booking and Expedia rates divide by stays booked there; Google and Tripadvisor by all stays.

Figure 1. Review rate per stay by platform, colored by method. Sources: Booking Holdings, OTALift data, Martí-Ochoa et al. 2024.

What percentage of guests leave a review on Booking.com?

About a third of stays (25-45%), derived rather than measured: Booking publishes a pool of verified reviews (240 million in 2023, 360 million in 2025, 370 million in 2026) but not what the pool counts¹. Booking Holdings sold 1,235 million room nights in 2025². If the pool is the roughly 36 months still public, that is 11-13% per room night, and with assumed conversions (2.4-3.2 room nights per reservation, Booking.com at 75-90% of Booking Holdings' room nights) about 29-55% per stay at the extremes. If the pool is every review ever collected, it is 4-5% per room night, or 15-17% per stay at central conversions.

Academic work on Spanish urban hotels reports both about 40% and about 20% on Booking³. The 40%, a reported 2019 Booking claim of 38% (secondary; no Booking primary found), and our Milan hotel, whose Booking reviews alone equal 21.5% of its stays⁴, favour the first reading. The 20% fits the all-time reading, which Milan's floor argues against unless Booking carries nearly every stay. We settle on 35%, range 25-45% (the anchors trim the top; the 20% stretches the bottom), with 15-20% possible if the all-time reading holds.

Expedia has no defensible public figure. An NBER draft put it near 3% for 2012, on an assumed $1,000 trip value¹⁴. Our Brooklyn boutique contradicts it: Expedia reviews alone equal 3.1% of its stays, so 3% would mean Expedia carried every stay⁴. At 15% of stays the rate is 20%, at 30% it is 10%.

Google, Tripadvisor, Agoda, Airbnb. Spanish Tripadvisor studies put participation near 2%, single cities from under 1% to over 3%³. Google's guest-only rate sits below our observed range because Google counts non-guests. Agoda claims over 58 million reviews¹⁵, but its rules page blocked us, so we give no rate. Airbnb is the wrong yardstick: estimates for that one platform run from 18.6%¹⁶ to 67%¹⁴, Inside Airbnb assumes 50%¹⁷, and its reviews are two-sided and reciprocal.

Do review rates differ by region, hotel type or length of stay?

Review rates probably differ by region, hotel type and length of stay, but almost none of it is measured.

• Region: the rate that matters depends on where guests book: Booking.com is 60% of review volume in Europe, Expedia over 37% in North America, Google 48% in the Middle East (vendor sample, 2025)¹⁸. No regional rate is measured.
• City and size: Tripadvisor participation is 1.88% in Valencia, 2.95% in Barcelona, 0.38-0.64% in Belgrade, and larger hotels get fewer Tripadvisor reviews per room³. Our five do not show it: Booking reviews per room per year run 28.5 at about 40 rooms, 4.7 at 65, 4.8 at 110, 6.6 at 195 and 12.2 at 230. Channel mix may outweigh any size effect, or five hotels are too few to see one.
• Everything else: luxury vs budget, business vs leisure, hostel vs hotel and length of stay are unmeasured in every source we found.

Read these with OTA share of bookings by country (Europe, other regions): a 35% Booking rate means little where Booking sells few stays.

What do five real hotels show?

Google reviews equal 1.2% to 2.1% of stays at all five hotels we monitor, while Booking plus Expedia spreads from 4.8% to 21.5% on channel mix. Room counts are public; occupancy and stay length are assumed per market⁴.

Hotel	Booking reviews per room per year	Booking + Expedia per stay	Google per stay
Milan budget, about 40 rooms	28.5	21.5%	1.2%
Kraków design, about 230 rooms	12.2	9.9%	1.9%
Kraków business and conference, about 195 rooms	6.6	5.4%	1.5%
Brooklyn boutique, about 110 rooms	4.8	7.0%	2.0%
Brooklyn boutique, about 65 rooms	4.7	4.8%	2.1%

Figure 2. Google reviews per year over estimated stays. Source: OTALift analysis of five hotels, 2026; occupancy and stay length assumed.

Google is the stable one. Booking plus Expedia spreads 4.5x, and we would not read that as propensity: the Milan hotel sells mostly on Booking, and the Kraków conference hotel sells much of its volume to groups and corporates.

The Milan hotel is listed as a hostel on Booking but sells private rooms only, with no Expedia link. At 1.6 nights its Booking reviews alone are still 16% of its stays, so a Booking rate under 16% would need it to sell more than all its stays there. Booking.com is roughly 20% of European overnights (29.9% times 66.1%)¹², and both a 25% and a 45% rate give plausible mixes, so our data cannot narrow the range alone.

Estimate hotel occupancy from reviews, with error bars

How do you turn reviews into stays and room nights?

Divide 12 months of reviews by the review rate to get stays, then multiply by average length of stay (ALOS).

stays       = reviews in 12 months / review rate
room nights = stays x ALOS
share       = room nights / (rooms x 365 x occupancy)

Use a full 12 months: the Milan hotel's monthly Booking reviews peak at 2.1x the trough⁴.

Market	ALOS (nights)	Scope
Kraków	2.17	All tourist accommodation, city, 2024 (GUS)19
Lombardia	2.12	Hotels, region not Milan, 2024 (Eurostat)20
New York City	no overall figure; 2.7	International visitors only (NY State Comptroller)21

For Brooklyn we assumed 2.5. That is an assumption, not a statistic.

What does a worked example look like?

A Brooklyn boutique with about 110 rooms and 550 Booking reviews in 12 months sells about 3,900 Booking room nights, give or take 31% (roughly 2,700 to 5,100)⁴.

Case	Review rate	ALOS	Booking stays	Booking room nights
Low volume	45%	2.2	about 1,200	about 2,700
Mid	35%	2.5	about 1,550	about 3,900
High volume	25%	2.8	about 2,200	about 6,100

The low and high rows are corner cases, wider than the one-sigma band. Treat each range as one standard deviation. The rate contributes 29% error, ALOS 12%, counting noise 4%. Combined: about 31%. At 84% occupancy (NYC hotels, 2025)²¹ the hotel sells about 34,000 room nights a year, so Booking carries roughly 11%. The rate dominates.

Common failure modes

Failure 1: Dividing every count by three

Booking's count is a 36-month window; Expedia and Google counts are lifetime totals. A Google count built over 10 years, divided by three, overstates annual intake 3.3 times.

Figure 3. Age of the oldest counted review by platform. Source: OTALift data, 2026¹¹.

Failure 2: Treating 360 million over 1.2 billion as a rate

It divides a multi-year stock of reviews by a one-year flow of room nights, and room nights are not reservations. The two readings of Booking's pool differ by 2.3x per stay.

Failure 3: Importing Airbnb's 67%

Airbnb reviews are reciprocal¹⁴. Apply 67% to a hotel's Booking count and you underestimate stays by about half.

Failure 4: Reading a low ratio as low propensity

"Luxury guests review less" and "business guests don't review" circulate as folk wisdom, even in our own report logic (below). No source we found measures either.

Step-by-step fix

Find out how many guests leave a review at your hotel first, then raise it.

1. Pull departures by channel. Twelve months of completed stays from your PMS, no-shows apart. If your PMS logs the channel manager rather than the OTA as source, export by booking source from SiteMinder, Cloudbeds, Mews or RezGain.

2. Pull dated review counts per platform for the same window. Booking extranet Guest Reviews (36 months at most, and archived reviews cannot be downloaded), Expedia Partner Central reviews, Google Business Profile. Lag Booking by about a month: invitations go out 48 hours after check-out and guests have up to 90 days⁷. Our judgment is that most reviews arrive early, so a month trims the tail. Use the same lag for Expedia; its reminder timing is unpublished.

3. Divide reviews by departures per platform. Booking reviews over Booking-sourced departures. Expedia the same way, counting every Expedia Group brand because the pool is shared⁸. Google and Tripadvisor: over all departures.

   A Booking result well under 25% usually means third-party or corporate bookers who never forward the email, opted-out guests, or channel mislabelled in the PMS.

4. Skip the shortcuts. No all-time counts over one year, and no reply rate (it counts reviews you answer, not stays that write one). Seasonal hotels: use the open months and the same months of reviews.

5. Repeat quarterly. Your own rate beats ours.

How can a hotel raise its review rate?

Ask every guest at departure: in TrustYou's 2018 survey of 920 US consumers, 80% of travelers who received a survey also left a review, against 22% who wrote one unprompted. Vendor survey, self-reported, not a per-stay rate²².

• Ask in person or by message, same day. In a 2014 Airbnb experiment, guests who had not reviewed within nine days were less likely ever to¹⁴.
• Tell third-party bookers to forward Booking's email. It goes only to the booker⁷.
• Put your Google link on a QR code at the desk and on the receipt. Google sends no invitation⁹.
• Answer reviews. Responding hotels saw 12% more review volume in a 2017 quasi-experimental study²³.
• Ask every guest, not a filtered list: Google bars selectively soliciting positive reviews or offering incentives²⁴, and Booking's guidelines say partners "should not post on behalf of guests or offer incentives in exchange for reviews"²⁵. Asking is allowed; a free drink for a review is not. Check Expedia's rules.

Self-audit checklist

Run this on your own listing without our product:

• I know my departures by channel for the last 12 months, no-shows separated.
• I have dated review counts per platform for the same 12 months.
• I did not divide any Google, Tripadvisor or Expedia all-time count by a year.
• I know my own review rate per platform, with the lag applied.

How OTALift surfaces this

The rate-parity report puts a booking volume behind every dollar finding, and it builds that volume from the rates in this article²⁶. For Booking.com, Expedia and Google it counts the last 12 months of reviews. The Booking and Expedia windows end 30 days before our last sync, because guests review weeks after checkout. Each count becomes a total number of stays with that platform's rate: 35% on Booking, 20% on Expedia as the midpoint of the 10-30% range, and 1.7% of all stays on Google. Booking and Expedia are then divided by that platform's share of stays in your country. Google needs no channel share, which makes it the cross-check where Booking is weak.

The report combines the three totals, weighted by how confident each input is, and the gap between them sets the range. Platforms more than three times apart are flagged as disagreeing. A capped Booking scrape is annualized from the months we hold, never divided by three. Expedia and Google counts are lifetime, so only their dated reviews count. A platform with fewer than 12 reviews a year is left out.

Price no longer moves the volume: the old size bands and the $250 and $500 rate floors are gone. Dollar figures still carry a preliminary-estimate note, and the headline is a range. Your own reviews per stay replace our rates once you share your bookings by channel.

Related articles

• Review Velocity and Its Effect on OTA Ranking
• Review Signal Quality and Corpus Shape
• Booking.com as a Hotel Listing Venue
• OTA Share of Hotel Bookings by Country
• Pillar: The Hotel Revenue Flywheel

Frequently asked questions

What percentage of hotel guests leave a review?

No platform publishes it. Our estimates per completed stay: about 35% on Booking.com (derived), 10-30% on Expedia (low confidence), roughly 2% on Google and Tripadvisor¹³⁴.

What percentage of guests leave a review on Booking.com?

The Booking.com review rate is about a third of stays (range 25-45%), derived from Booking's published review pool and Booking Holdings room nights. Spanish urban hotels were near 40% in academic work¹²³.

Can you estimate hotel occupancy from reviews?

Roughly. Divide 12 months of reviews by the review rate, multiply by average stay, and expect about 31% error. Reviews and occupancy correlate in a study of 346 Rome hotels, but with no per-review conversion⁵⁴.

How can a hotel get more reviews?

Ask. A 2018 vendor survey found 80% of travelers who received a survey reviewed, against 22% unprompted. Booking invites the booker about 48 hours after check-out; Google sends no invitation²²⁷.

Sources and methodology

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Authored by Anya Cortez

Hospitality researcher. Writes The Labs.

Footnotes

1. Booking.com, Traveller Review Awards 2023, news.booking.com, "over 240 million verified customer reviews" (the pool also covers car rental and airport taxi). https://news.booking.com/bookingcom-unveils-the-traveller-review-awards-2023-recipients-and-this-years-most-welcoming-places/ ; Traveller Review Awards 2025 release via Hospitality Net, "over 360 million verified customer reviews," https://www.hospitalitynet.org/news/4125652.html ; Booking Holdings brand page, "Over 370 Million Verified Reviews," https://www.bookingholdings.com/brands/booking/ — accessed 2026-10-11. DERIVED by OTALift: pool divided by Booking Holdings room nights in the preceding three calendar years, times 2.4-3.2 room nights per reservation, divided by an assumed 75-90% Booking.com share of Booking Holdings room nights. Booking does not state what the pool counts. ↩ ↩² ↩³ ↩⁴ ↩⁵

2. Booking Holdings Inc., Form 10-K for fiscal year 2025, filed 2026-02-18. https://www.sec.gov/Archives/edgar/data/1075531/000107553126000009/bkng-20251231.htm — accessed 2026-10-11. Room nights 1,235 million (2025) and 1,144 million (2024), defined as "the volume of units booked through our online travel companies' ('OTC') brands." Earlier years from the FY2017 to FY2023 10-Ks on sec.gov: 2020 355M, 2021 591M, 2022 896M, 2023 1,049M. Whether room nights are net of cancellations is not stated. ↩ ↩² ↩³ ↩⁴

3. Martí-Ochoa, Martín-Fuentes and Ferrer-Rosell, "The Voice of the Guests: Analysing Airbnb Reviews as a Representative Source for Tourism Studies," Profesional de la información 33(2), e330202, 2024. https://doi.org/10.3145/epi.2024.0202 (open-access PDF: https://revista.profesionaldelainformacion.com/index.php/EPI/article/download/87663/63601). Reports Tripadvisor and Booking.com participation figures from Mellinas (2019a, 2019b), Mellinas and Martín-Fuentes (2022) and Mašić and Vićić (2018), and the Airbnb city rates in its Table 1. The underlying chapters are paywalled and were not read directly. ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹

4. OTALift internal data, five hotels in Milan, Kraków and Brooklyn with room counts from public sources, review counts for the 12 months to June-October 2026 (Booking and Expedia last synced June-July 2026, Google 2026-10-10). Stays estimated as rooms x occupancy x 365 / ALOS with occupancy and ALOS assumed per market (Lombardia 2.12, Kraków 2.17, NYC 2.5 assumed). Directional only, n=5; hotels anonymized. ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹ ↩¹⁰ ↩¹¹

5. Viglia, Minazzi and Buhalis, "The influence of e-word-of-mouth on hotel occupancy rate," International Journal of Contemporary Hospitality Management 28(9):2035-2051, 2016. https://doi.org/10.1108/IJCHM-05-2015-0238 (accepted manuscript: https://eprints.bournemouth.ac.uk/24868/1/IJCHMeWOM.pdf). 346 Rome city-centre hotels, 2014 occupancy; associational, cross-sectional. ↩ ↩²

6. Booking.com Partner Hub, "Everything you need to know about Guest Review Scores," 2026. https://partner.booking.com/en-us/help/property-guest-experience/reviews/everything-you-need-know-about-guest-review-scores — accessed 2026-10-11. "Reviews stay on your reviews page for 36 months. After that time, they're archived automatically"; 90 days to review; score weighed by recency as of January 2025. ↩ ↩²

7. Booking.com Partner Hub, "Understanding the conditions of guest reviews," 2026. https://partner.booking.com/en-us/help/property-guest-experience/reviews/guest-review-process-and-conditions — accessed 2026-10-11. Review invitation "about 48 hours after check-out," "three months to complete their review," requests "only sent to the booker's email"; no-shows and people who booked for others can review. ↩ ↩² ↩³ ↩⁴ ↩⁵

8. Expedia Partner Central, "About guest reviews." https://apps.expediapartnercentral.com/lodging/help/help-article/guests/reviews/about-guest-reviews — accessed 2026-10-11. Automatic reminders after a stay; post-stay reviews on Expedia.com not shown on Hotels.com and other sites for 90 days; score based on reviews from all Expedia Group brands. ↩ ↩²

9. Google Maps Help, "Add, edit, or delete Google Maps reviews & ratings," https://support.google.com/maps/answer/6230175 ; Google contribution policy, https://support.google.com/contributionpolicy/answer/7422880 — accessed 2026-10-11. Sign-in required, no anonymous reviews, posts "must be based on real experiences." No stay verification is stated. ↩ ↩²

10. Booking.com Partner Hub, "Viewing your guest reviews," 2026. https://partner.booking.com/en-us/help/property-guest-experience/reviews/viewing-your-guest-reviews — accessed 2026-10-11. Overview chart covers "the last 36 months." ↩

11. OTALift internal data, review-history span check across 56 Booking.com, 16 Expedia and 33 Google listings where the stored dated reviews cover at least 90% of the public count, 2026. ↩ ↩²

12. HOTREC and HES-SO Valais-Wallis, "European Hotel Distribution Study 2026." https://www.hotrec.eu/media/static/files/import/all_news_2026_2026_35/full-study_european-hotel-distribution-study-2026_hotrec.pdf — accessed 2026-10-11. Cancellation rates for 2025 bookings (p. 110, unweighted hotel-reported means): Booking.com 19.0%, Expedia 11.7%, direct 9.1%. OTAs 29.9% of overnights (p. 5); Booking.com 66.1% of OTA bookings, unweighted (p. 92). ↩ ↩²

13. Booking.com Partner Hub, "Guest review removal," 2026. https://partner.booking.com/en-us/help/property-page/general/how-request-removal-guest-review — accessed 2026-10-11. Removal conditions include a guest who cancelled and confirmed they did not arrive; "If a guest arrives at your property but isn't satisfied and ends up not staying, they'll be able to leave a review." ↩

14. Fradkin, Grewal, Holtz and Pearson, "Bias and Reciprocity in Online Reviews: Evidence From Field Experiments on Airbnb," NBER conference draft, 2015 (published as Marketing Science 40(6), 2021, https://doi.org/10.1287/mksc.2021.1311). https://conference.nber.org/conf_papers/f81348/f81348.pdf — accessed 2026-10-11. 67% of trips produced a guest review (p. 7); guests not reviewing within nine days less likely to review (pp. 12-13); Expedia estimate in footnote 7 (p. 5), resting on an assumed $1,000 trip value. The draft is marked not for citation without permission. ↩ ↩² ↩³ ↩⁴

15. Agoda press release via AAP, 4 August 2023. https://www.aap.com.au/aapreleases/cision20230804ae75305/ — "over 58+ million guest reviews." Agoda's Partner Hub page on verified reviews returned a bot challenge and was not read. ↩

16. Ke, "Sharing Means Renting?: An Entire-marketplace Analysis of Airbnb," WebSci '17, 2017. https://doi.org/10.1145/3091478.3091504. Guest review rate of 18.6% (19.1 million reviews over 102.7 million extrapolated stays); model-dependent. ↩

17. Inside Airbnb, "Data Assumptions." https://insideairbnb.com/data-assumptions/ — accessed 2026-10-11. "A Review Rate of 50% is used to convert reviews to estimated bookings," an assumption, not a measurement. ↩

18. Saragat (Planet, Shiji Group), "2025 Guest Experience: How Hotels Are Winning Satisfaction in a Year of Record Demand," Hospitality Net, 2026. https://www.hospitalitynet.org/opinion/4130626.html — accessed 2026-10-11. Regional shares of review volume in Shiji's client sample; a vendor sample that skews to managed hotels. ↩

19. Urząd Statystyczny w Krakowie (GUS), "Wykorzystanie turystycznych obiektów noclegowych w województwie małopolskim w 2024 r.," 23 April 2025. https://krakow.stat.gov.pl/files/gfx/krakow/pl/defaultaktualnosci/745/2/19/1/02._wykorzystanie_miejsc_noclegowych_woj_mal_2024.pdf — Kraków 2024: 6,526.5 thousand nights over 3,003.2 thousand tourists, 2.17 nights (establishments with 10+ beds). ↩

20. Eurostat, tourism accommodation tables tour_occ_nin2 and tour_occ_arn2, 2024. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/tour_occ_nin2?format=JSON&geo=ITC4&unit=NR&nace_r2=I551&c_resid=TOTAL&time=2024&lang=EN (arrivals: same query on tour_occ_arn2) — Lombardia hotels 29,324,073 nights over 13,833,644 arrivals (2.12); EU-27 hotels 1,897,604,098 over 774,079,878 (2.45); EU-27 all accommodation 2.87. OTALift arithmetic on Eurostat counts. ↩

21. New York State Deputy Comptroller for New York City, "The Hotel Industry in New York City," Report 6-2027 (cover: "October 2026 | Report 6-2027"; the file name says july-2026). https://www.osc.ny.gov/files/reports/osdc/2026/pdf/nyc-hotel-industry-report-july-2026.pdf — accessed 2026-10-11. NYC hotel occupancy 84.1% in 2025; 2.7 nights for international visitors, citing Tourism Economics. No overall hotel ALOS is published. ↩ ↩²

22. TrustYou, "TrustYou Study Emphasizes Importance of Online Feedback Management And Review Collection For Accommodations," press release, Munich, 5 April 2018 (Internet Archive copy). https://web.archive.org/web/2023/https://www.trustyou.com/press/study-online-feedback-management — 920 US consumers, self-reported; "80% of travelers who received a survey to evaluate a hotel's performance also left a review. In comparison, only 22% of travelers wrote a review without having been asked." Vendor survey. ↩ ↩²

23. Proserpio and Zervas, "Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews," Marketing Science 36(5), 2017. https://doi.org/10.1287/mksc.2017.1043. Abstract reports "a 12% increase in review volume for responding hotels." ↩

24. Google Maps user-generated content policy, "Prohibited & restricted content" ("Fake engagement" and "Rating manipulation" sections). https://support.google.com/contributionpolicy/answer/7400114 — accessed 2026-10-11. Prohibits "Offer incentives – such as payment, discounts, free goods and/or services - in exchange for posting any review" and "selectively solicit positive reviews from customers". ↩

25. Booking.com, "How guest reviews work" content guidelines. https://www.booking.com/reviews_guidelines.html — accessed 2026-10-11. "Booking.com property partners should not post on behalf of guests or offer incentives in exchange for reviews." ↩

26. OTALift rate-parity report code, schema v8 (2026-10-12): volume.ts (12-month intake rules, 30-day review lag, implied stays per platform, combination and range) and volumeConstants.ts (the review rates from this article, with every constant that has no article figure marked unbacked). It replaced the v7 size bands and price rule in calibration.ts. ↩