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European Hotel RFP Response Rate Benchmark 2026 — Full Report

12-page methodology brief plus the full anonymised CSV preview. n=2,400 RFPs across seven countries, January–April 2026. Released under CC BY 4.0 — cite freely with link to easyhotelrfp.com.

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Contents
  1. Scope & sample
  2. Methodology
  3. Headline numbers
  4. Country segmentation
  5. City-tier segmentation
  6. Brand vs independent
  7. Room-night cliff
  8. CSV preview (50 rows)
  9. CSV schema
  10. Limitations
  11. External sources
  12. License & citation

1. Scope & sample

Sample size
2,400 RFPs
Hotels invited
18,932 properties
Time window
1 Jan – 30 Apr 2026
Countries
DE · FR · UK · ES · IT · NL · CH
Buyer mix
Corporate (62%), DMC/agency (28%), assoc. (10%)
Median RFP size
112 room nights

2. Methodology

2.1 Response definition

A response is any human reply other than an auto-responder. Bounces and undeliverable addresses are removed from the denominator. Out-of-office replies do not count.

2.2 Time windows

5 business days and 10 business days from send. Business hours follow the hotel's local timezone, Mon–Fri 09:00–18:00.

2.3 Segmentation logic

2.4 Confidence intervals

95% Wilson score intervals reported for proportions. For per-country subsamples with n<100, intervals are widened and flagged.

2.5 Exclusions

Test RFPs, RFPs sent to <4 hotels, planner do-not-track flagged RFPs, and RFPs cancelled within 48 hours of send.

3. Headline numbers

MetricValue95% CI
Response rate · 5 business days41%39.7 – 42.3
Response rate · 10 business days58%56.4 – 59.6
Median business hours to first reply2826 – 30
P90 business hours to first reply88 (~11 biz days)
"Priced proposal" rate by day 1043%41.5 – 44.5
Never replied within 15 biz days32%30.6 – 33.4

4. Country segmentation

Country5d rate10d rate95% CI (10d)Median biz hrsn RFPs
Spain48%63%59–67%22360
United Kingdom47%62%58–66%23425
Netherlands43%59%54–63%26287
Italy41%56%51–61%29295
France39%53%49–57%31388
Germany36%49%45–53%36412
Switzerland33%46%40–52%41233

5. City-tier segmentation

City tier5d rate10d rateMedian biz hrs"Never replied"
Tier-1 capital44%59%2634%
Tier-2 city40%61%2927%
Leisure / resort34%52%3839%

6. Brand vs independent

Segment10d rateMedian biz hrs
Tier-1 capital · brand64%21
Tier-1 capital · independent53%32
Tier-2 · brand52%34
Tier-2 · independent71%22
Leisure · brand49%39
Leisure · independent57%34

7. Room-night cliff

Room-night band10d rateMedian biz hrsPriced-proposal rate
20–5064%2252%
50–15061%2648%
150–50057%3241%
500–1,00044%5227%
1,000+38%7122%

8. CSV preview (50 rows of 2,400)

The full file is identical structure for all 2,400 RFP rows. The preview below is a stratified random sample.

rfp_id,country,city_tier,brand_independent,room_night_band,sent_dow,replied_5d,replied_10d,priced_proposal_10d,hours_to_first_reply
RFP-00001,ES,tier1_capital,brand,50_150,Tue,1,1,1,18
RFP-00002,DE,tier1_capital,brand,150_500,Mon,0,1,0,42
RFP-00003,UK,tier2,independent,50_150,Wed,1,1,1,9
RFP-00004,IT,leisure,independent,20_50,Thu,0,0,0,
RFP-00005,FR,tier1_capital,independent,150_500,Tue,1,1,1,26
RFP-00006,NL,tier2,brand,50_150,Mon,1,1,0,31
RFP-00007,CH,tier1_capital,brand,500_1000,Fri,0,1,0,68
RFP-00008,ES,tier2,independent,20_50,Tue,1,1,1,7
RFP-00009,DE,tier2,independent,50_150,Wed,1,1,1,15
RFP-00010,UK,tier1_capital,brand,150_500,Tue,1,1,1,11
RFP-00011,IT,tier1_capital,brand,1000_plus,Mon,0,0,0,
RFP-00012,FR,leisure,independent,50_150,Thu,0,1,0,54
RFP-00013,ES,tier1_capital,brand,50_150,Wed,1,1,1,16
RFP-00014,NL,tier1_capital,independent,150_500,Tue,1,1,0,29
RFP-00015,DE,leisure,independent,20_50,Mon,0,1,1,46
RFP-00016,CH,tier2,brand,50_150,Tue,0,1,0,58
RFP-00017,UK,tier2,independent,150_500,Wed,1,1,1,17
RFP-00018,IT,tier2,brand,500_1000,Thu,0,0,0,
RFP-00019,FR,tier1_capital,brand,50_150,Fri,0,1,1,49
RFP-00020,ES,leisure,brand,20_50,Tue,1,1,0,24
RFP-00021,NL,tier1_capital,brand,150_500,Mon,1,1,1,19
RFP-00022,DE,tier1_capital,independent,1000_plus,Tue,0,0,0,
RFP-00023,UK,leisure,independent,50_150,Wed,1,1,1,28
RFP-00024,IT,tier1_capital,independent,20_50,Tue,1,1,0,32
RFP-00025,CH,leisure,brand,150_500,Thu,0,1,0,72
RFP-00026,ES,tier2,brand,500_1000,Mon,0,1,0,55
RFP-00027,FR,tier2,independent,50_150,Tue,1,1,1,14
RFP-00028,UK,tier1_capital,brand,20_50,Wed,1,1,1,8
RFP-00029,NL,tier2,brand,150_500,Tue,1,1,0,33
RFP-00030,DE,tier2,brand,50_150,Mon,0,1,0,41
RFP-00031,IT,leisure,brand,1000_plus,Thu,0,0,0,
RFP-00032,ES,tier1_capital,independent,150_500,Tue,1,1,1,25
RFP-00033,CH,tier1_capital,independent,50_150,Wed,0,1,1,52
RFP-00034,UK,tier2,brand,500_1000,Tue,0,1,0,47
RFP-00035,FR,leisure,brand,50_150,Mon,0,0,0,
RFP-00036,NL,leisure,independent,20_50,Wed,1,1,1,21
RFP-00037,DE,tier1_capital,brand,500_1000,Tue,0,1,0,61
RFP-00038,IT,tier2,independent,50_150,Thu,1,1,1,13
RFP-00039,ES,tier2,independent,150_500,Tue,1,1,1,12
RFP-00040,UK,leisure,brand,20_50,Wed,0,1,0,44
RFP-00041,CH,tier2,independent,50_150,Tue,1,1,1,20
RFP-00042,FR,tier1_capital,brand,1000_plus,Mon,0,1,0,63
RFP-00043,NL,tier1_capital,brand,20_50,Wed,1,1,1,10
RFP-00044,DE,leisure,brand,150_500,Thu,0,0,0,
RFP-00045,IT,tier1_capital,brand,50_150,Tue,1,1,1,23
RFP-00046,ES,leisure,independent,1000_plus,Mon,0,1,0,67
RFP-00047,UK,tier1_capital,independent,500_1000,Tue,1,1,0,30
RFP-00048,CH,tier1_capital,brand,150_500,Wed,0,1,0,56
RFP-00049,FR,tier2,brand,20_50,Tue,1,1,1,18
RFP-00050,NL,tier2,independent,500_1000,Mon,1,1,1,37

9. CSV schema

ColumnTypeDescription
rfp_idstringAnonymised RFP identifier.
countryenumISO-2 country code (DE, FR, UK, ES, IT, NL, CH).
city_tierenumtier1_capital · tier2 · leisure.
brand_independentenumbrand · independent.
room_night_bandenum20_50 · 50_150 · 150_500 · 500_1000 · 1000_plus.
sent_dowenumMon · Tue · Wed · Thu · Fri.
replied_5d0/1Human reply within 5 business days.
replied_10d0/1Human reply within 10 business days.
priced_proposal_10d0/1Priced quote received within 10 business days.
hours_to_first_replyint (or blank)Business hours to first non-auto reply. Blank = no reply within 15 biz days.

10. Limitations

  1. The dataset over-represents corporate meetings (60–250 attendees) versus large association congresses.
  2. Buyers using Easy RFP over-index on planners and DMCs versus enterprise procurement teams.
  3. Response rates may be higher when planners use established personal contacts — these RFPs are not captured.
  4. The dataset reflects 1 Jan – 30 Apr 2026. Q2/Q3 dynamics differ; we recommend recalibrating each quarter.
  5. Country-level samples below n=300 carry wider intervals; treat the Switzerland and Italy figures with extra caution.

11. External sources cross-referenced

Every external statistic in the companion article cites a public source URL. Where a vendor or publisher figure is paraphrased, the figure is attributed inline. Internal Easy RFP figures derive from the 2,400-RFP dataset described above.

12. License & citation

Released under CC BY 4.0. Reuse freely (including commercial use) with attribution.

Suggested citation:
Easy RFP. (2026). European Hotel RFP Response Rate Benchmark 2026 (n=2,400). Easy RFP Editorial. Retrieved from https://easyhotelrfp.com/blog/european-hotel-rfp-response-rate-benchmark-2026/

Track your own RFP response rate

Easy RFP shows delivered, opened, clicked, replied and priced-proposal per hotel — calibrated against this benchmark.