Research Library

Benchmarks, studies and practice guides

Primary research drawn from engagement data and structured sampling, not from vendor surveys. Every report states its sample, its method and its limitations on the first page.

Published reports4
Properties sampled412
Booking engines analysed118
Accounts reconciled31
Available now

The library

Each report is released against a business email. We do not resell contact data, and one request gives access to the full library rather than a single document.

Annual Benchmark Series  ·  July 2026

India Hotel Distribution Benchmark 2026

The reference dataset for channel mix, commission exposure and direct-booking performance across the Indian independent hotel segment. Now in its fourth annual edition.

Sample412 independent and small-chain properties across 22 Indian cities
Length68 pages
FormatPDF + data appendix (XLSX)
Written forOwners, asset managers, general managers, commercial directors
Selected findings
  • Median OTA share across the sample stood at 71%, down 4 points year on year.
  • Blended commission rose to 19.4% as marketplace loyalty programme participation widened.
  • Properties above 55% direct share carried an 11.4% median ADR premium on matched inventory.
  • Parity breaches were found on 38% of sampled dates, with 74% originating in wholesale allotments.
India Hotel Distribution Benchmark 2026
68 pages  ·  July 2026
Contents
  • Channel mix distribution by property class, key count and city tier
  • Blended commission rates by marketplace and negotiated tier
  • Direct-booking conversion benchmarks by booking engine platform
  • Rate parity breach incidence and origin analysis across 60 sampled dates
  • Loyalty programme participation rates and measured margin impact
  • Five-year trend series on OTA share, ADR premium and repeat guest ratio
Conversion Research  ·  May 2026

The Direct Booking Conversion Study

A structured teardown of where hotel booking engines lose guests, quantified by barrier and by device, with remediation costed against expected return.

Sample118 booking engines, 214,000 recorded sessions
Length44 pages
FormatPDF + annotated session recordings
Written forCommercial directors, e-commerce managers, digital leads
Selected findings
  • Mandatory account creation was the single largest abandonment cause, affecting 54% of sessions where present.
  • Booking engines without UPI converted mobile traffic at 0.38x the rate of those with it.
  • Median mobile-to-desktop conversion ratio was 0.51 — well inside defect territory.
  • Every additional form field beyond six correlated with a 3.1% relative conversion decline.
The Direct Booking Conversion Study
44 pages  ·  May 2026
Contents
  • Abandonment mapped by funnel step across 118 booking engines
  • Device-split conversion benchmarks and the mobile-to-desktop ratio distribution
  • Payment method availability against completion rate
  • Form field count, session timeout and account-wall impact analysis
  • Load time distribution and its compounding effect across booking steps
  • Remediation cost estimates against modelled revenue return
Technical Guidance  ·  March 2026

The Hospitality Attribution Playbook

A working implementation guide for building a conversion signal that reconciles to property management system arrivals, with the reconciliation templates we use in engagements.

Sample31 media accounts reconciled against PMS arrival records
Length52 pages
FormatPDF + implementation checklists
Written forMarketing directors, analytics leads, media agencies
Selected findings
  • Across 31 accounts, platform-reported conversions exceeded PMS arrivals by a median of 29%.
  • Cross-platform duplication accounted for the largest share of overstatement in 24 of 31 accounts.
  • Re-ranking on reconciled data changed the top-performing campaign in 19 of 31 accounts.
  • Only 3 of 31 accounts deducted cancellations from reported conversions.
The Hospitality Attribution Playbook
52 pages  ·  March 2026
Contents
  • Why booking-engine confirmations overstate arrivals, decomposed by cause
  • Server-side conversion tracking: architecture and event ID strategy
  • Cross-platform deduplication with shared booking references
  • Cancellation and no-show deduction workflows
  • The monthly PMS reconciliation template and variance reporting
  • Re-ranking campaigns on reconciled data: worked examples
Revenue Practice Guide  ·  January 2026

Yield Management for Seasonal Assets

How to build a multi-season rate cascade, test trough elasticity before discounting, and use length of stay as a margin lever rather than rate.

Sample64 leisure and resort properties with pronounced seasonality
Length39 pages
FormatPDF + season calendar template
Written forRevenue managers, resort general managers, owners
Selected findings
  • 41 of 64 properties showed no measurable price elasticity in their deepest trough window.
  • Properties that discounted below 40% of annual mean ADR reported measurable peak-season rate resistance.
  • Extending average length of stay by one night improved contribution margin by 6-9% at constant rate.
  • Marketplace ranking classified persistently discounted inventory into price-sorted placement.
Yield Management for Seasonal Assets
39 pages  ·  January 2026
Contents
  • Constructing a five-season calendar from arrival history and external indices
  • Testing price elasticity in trough windows before committing to discount
  • The cost of trough discounting on peak-season rate acceptance
  • Repositioning frameworks: changing the proposition rather than the price
  • Length of stay as an operating-margin lever
  • Minimum-stay controls and their pace-monitoring requirements
Library access

Request the research library

One request gives access to every report listed above, including the data appendices. We will send new editions as they publish and nothing else.