Guest equity · Research-led commercial strategy for cruise and hospitality

Every team hit its number. Nobody measured what the guest is worth.

Pricing, loyalty, onboard revenue and experience can each hit their KPI, and the satisfaction score can rise, while the asset underneath them loses value. NPS and CSAT measure how guests feel.9 Guest equity is what your guest relationships are worth, net of what it costs to win, keep and serve them. We measure it, and show which decisions are building it and which are quietly spending it.

Book a 30-minute review See how we measure it

Both partners · Principals only · Fixed fee · Reply in one business day

What the scoreboard says

57.5%of live bookings came direct, through the inn’s own website or phone
1,245bookings already on the books for 2027
32daysmedian booking lead time

What guest equity says

16.5%of bookings carry marketing consent. Even among direct bookers it is one in four
98%of travel-agency bookings hide the guest behind a relay address
0of 551travel-agency guests who stayed this summer hold a booking for 2027

One working inn in New England · Live reservation data · 4,656 bookings · Counts read 29 September 20267 · The case in full

Who you would be working with

The revenue operator and the guest researcher, in one room. One has run onboard revenue for a cruise line; the other has spent two decades at Cornell studying why guests come back. You work with both directly, with no junior team.

Ethan Hawkes
Ethan HawkesThe operator

Former VP, Onboard Revenue, MSC Cruises North America · Cornell Hotel School B.S., Johnson MBA1

  • $500M+onboard revenue P&L led, MSC Cruises North America
  • 8 yrsMcKinsey travel practice; left as Associate Partner
  • 1 exitco-founded PlacePass, sold to Hopper1
Robert J. Kwortnik Jr.
Robert J. Kwortnik, Ph.D.The professor

Associate Professor of Services Marketing, Cornell Nolan School of Hotel Administration · has directed its Center for Hospitality Research2

  • 30published or accepted journal papers3
  • 3cruise clients advised: CLIA, Celebrity, Norwegian2
  • 20+ yrsCornell hotel school faculty, since 20023

The flagship idea · Guest equity architecture

Guest equity
=

the value of every guest relationship

Financial · Loyalty · Influence · Co-creation

−

what it costs to win, keep and serve it

Acquisition · Distribution · Cost to serve

The research name for the asset is customer equity:6 the discounted value of your current and prospective guest relationships, net of acquisition, distribution and cost to serve. Guest equity extends it past spend. It asks what a guest is worth, not only what they paid.4 Read per guest, summed across the portfolio, discounted to today, and tracked quarter to quarter so each decision shows whether it added to the asset or drew it down. Read the full framework.

The reading · What the quarterly view cannot see

We measure the guest, not just the quarter.

Two lines, read together. The scoreboard every team reports, and the asset underneath it. The decisions that moved the asset are marked where they happened.

Scoreboard vs. assetIndex · Q4 2024 = 100
Scoreboard versus guest equity, illustrative index, Q4 2024 = 100
QuarterScoreboardGuest equityDecision marked
Q4 2024100100
Q1 2025103101
Q2 202510799Promo depth up
Q3 202510696
Q4 202511097
Q1 202611394Loyalty tier reset
Q2 202611792Pre-cruise push
Q3 202611990
Scoreboard, 8 qtrs
+19
Guest equity, 8 qtrs
−10
Decisions traced
3

Illustrative reading, not client data. Yours is built from your bookings, folios and channel costs, with every figure labeled measured, modeled or assumed.

How to read it
Scoreboard
Revenue against plan: the number every team hit, quarter after quarter, and the one the board sees.
Guest equity
What the guest relationships are worth, net of what it costs to win, keep and serve them. Read per guest, summed across the portfolio.
The gap
What the quarterly view cannot see. Each decision that opened it is marked on the line, so the scorecard your team keeps can trace it back.

Hover or tap the chart to read any quarter. Promotions, a loyalty tier reset and a pre-cruise push each lifted the scoreboard. Two of the three drew the asset down.

Run this on your data

The guest value stack

Four dimensions of value, each read from a system you already run. Every figure is labeled measured, modeled or assumed, with its source.

Financial value

What a guest contributes

Contribution per stay or sailing across every revenue center, net of commission and cost to serve.

reservation, folio and channel-cost data
Loyalty value

Whether they come back

How likely the next stay is, how soon, and whether that trajectory is rising or fading.

stay history, booking lead times, program data
Influence value

Who they bring

The guests a guest brings: referrals, group organizers, reviews, word of mouth.

referral and group fields, review platforms
Co-creation value

How they shape the stay

How a guest shapes the experience for staff and other guests, for better or worse.

service notes, recovery logs, staff and guest surveys

The advantage · Peer-reviewed research, translated

From the journal to the revenue meeting.

Rob has spent two decades studying why guests choose, spend and come back, with 30 published or accepted journal papers.3 Ethan has run the P&L those findings describe. The translation is the work: each engagement starts from what the research already knows and ends in a tool your team runs.

303published or accepted journal papers, about four of them teaching cases
20022on the Cornell Nolan School faculty since; Associate Professor of Services Marketing since 2009
10×2named Teacher of the Year; developed Cornell’s elective on the global leisure cruise industry
17research-backed findings across 9 cruise commercial decision areas in the published Evidence Base

Int. J. of Hospitality Management 71 · 2018

Exploring behavioral differences between new and repeat cruisers to a cruise brand

Sun, Kwortnik & Gauri

doi:10.1016/j.ijhm.2017.12.006

Decision · Loyalty

A second sailing is a different decision from a tenth.

Using more than a million reservation records from one brand, the paper finds repeat cruisers were less price sensitive, booked further ahead and chose longer cruises and better cabins than new cruisers. In a loyalty review that is the starting point: the benefit that moves a first-timer to a second sailing is not the benefit that keeps a repeat guest, and the program should be made to pay for each separately.

Production and Operations Management 26(5) · 2017

Surprise, anticipation, and sequence effects in the design of experiential services

Dixon, Victorino, Kwortnik & Verma

doi:10.1111/poms.12675POMS College of Service Operations · Most Influential Service Operations Paper Award2

Decision · Onboard revenue and experience

Anticipation is part of the product.

In controlled experiments, where a signature moment sits in a service sequence changed how the whole experience was evaluated in memory. For the pre-cruise window that reframes the question: packages sold before sailing are not only revenue pulled forward, they shape what the guest expects on board, and the evidence model has to count both.

Int. J. of Hospitality Management 89 · 2020

Improving revenue performance with third-degree price discrimination in the cruise industry

Namin, Gauri & Kwortnik

doi:10.1016/j.ijhm.2020.102597

Decision · Pricing

Price who is booking, not only what and when.

In simulation on one operator’s booking data, fare structures aligned to how segments perceive cabin value outperformed uniform category pricing. The magnitude is operator-specific, so we test it on your fares before anyone claims a number.

Journal of Service Research 11(4) · 2009

Unifying service marketing and operations with service experience management

Kwortnik & Thompson

doi:10.1177/1094670509333595

The thesis · Why both partners

The decision sits between functions.

From a leisure-cruise case, the paper proposes managing marketing and operations as one system around the guest’s experience. It is the reason both partners are in every room: the problem on a CEO’s desk is rarely inside one team, and the answer rarely is either.

Titles, authors, volumes and pages checked against Crossref.8All ten papers, translated →

Where we are useful · Four decisions we are asked about most

Most calls start with one live decision.

If one of these is on your desk, the problem usually sits between functions, not inside one team. Each links to how we think about it.

Promotions

Promotions are filling ships. How much of that demand would have booked anyway?

We test incrementality against your booking data and the published evidence, and show what the discount did to the mix of guests who came aboard.

 Loyalty

Loyalty spend keeps rising. Is rebooking moving enough to pay for it?

We separate the benefits that change behavior from the ones that reward guests who were coming back regardless.

 Onboard revenue

Pre-cruise sales are up. Is total guest spend up, or has it just moved earlier?

We trace spend across the pre-cruise and onboard windows to see whether packages grow the guest’s wallet or only change where it is opened.

 Pricing

Does your fare architecture reflect what guests actually value?

We test attribute-based pricing against how guests perceive value, so the fare ladder charges for what guests value and stops giving it away.

Partners · The operator and the professor

Two records. One room.

Most firms keep the researchers and the operators in different buildings. We work as one team because the decision needs both at once, and every credential below is numbered to its source.

Ethan Hawkes

Partner · The operator

Ethan Hawkes

Ethan has sat in the revenue meeting. He led a $500M+ onboard revenue P&L for MSC Cruises in North America, built and sold a tours-and-activities marketplace, and spent eight years in McKinsey’s travel practice.1

$500M+onboard revenue P&L led, MSC Cruises North America
8 yrsMcKinsey & Company, travel practice
1 exitPlacePass, co-founded and sold to Hopper
2025
Former VP, Onboard RevenueMSC Cruises, North America
2016–21
Co-founder & CEO, PlacePassAcquired by Hopper; then led Partner Success revenue at Hopper
2007–15
McKinsey & CompanyTravel practice; left as Associate Partner
Cornell
B.S., School of Hotel Administration · MBA, Johnson

LinkedIn profile ↗[email protected]

Robert J. Kwortnik Jr.

Ph.D. · Partner · The professor

Robert J. Kwortnik

Rob studies why guests come back. He is associate professor of services marketing at Cornell’s Nolan School of Hotel Administration, has directed its Center for Hospitality Research, and has been named Teacher of the Year ten times.2

30published or accepted journal papers3
10×Teacher of the Year, Cornell Nolan School
3cruise lines and associations advised: CLIA, Celebrity, Norwegian
Since 2002
Cornell Nolan School facultyAssociate Professor of Services Marketing since 2009
Teaches
Introduction to the Global Leisure Cruise IndustryA Cornell elective he developed
Research
30 published or accepted journal papersJournal of Marketing Research, Journal of Service Research, Journal of Travel Research
Advised
CLIA, Celebrity Cruises, Norwegian Cruise LineConsulting clients named on his Cornell profile

Cornell faculty profile ↗[email protected]

How an engagement runs · Fixed fee · Principals only

Each phase ends in something your team keeps.

We do the work with you, not around you. Phase 1 is deliberately short, because delay kills momentum. Phase 2 takes as long as the analysis requires, no more. Phase 3 hands the tool to your team; it is not an open-ended retainer. The full process.

Phase 11–2 weeks

Find the question

Turn a broad concern into one answerable commercial question with clear stakes and boundaries.

You keepthe decision brief
Phase 23–6 weeks

Build the evidence

Combine your operating data, published research and explicit assumptions into a defensible answer.

You keepthe evidence model
Phase 3Handoff

Embed the discipline

Convert the recommendation into a scorecard, playbook or decision rule your team runs without us.

You keepthe operating tool

Principals only

You work with Ethan and Rob throughout. No analysts, no associates, no junior team.

Fixed fee

Defined scope, fixed price, clear deliverable. No hourly billing.

Everything is yours

Models, methodology and documentation belong to your team. No licensing, no ongoing fees.

We show our work

Assumptions stated, sensitivities tested, sources numbered, and what we are unsure of named plainly.

Published by Hawkes & Kwortnik · The Q4 2026 readings

The industry, graded on the public record.

Four quarterly readings of the cruise industry, scored on a published method with every grade showing its citations, and held back as not graded wherever the record is too thin to call.

Who runs it

Commercial Excellence Index

Fifty cruise brands letter-graded against full potential on nine commercial pillars. The median brand is a C; no brand earns an A overall.

50 brands9 pillars · every score cited Where it goes

Destination Vitality Index

Forty-one ports of call read on two measures, Itinerary Value and Deployment Durability, never averaged.

41 ports2 readings · 14 graded Who sells it

Distribution Index

Fourteen organizations that hold cruise bookings across four source markets, coded criterion by criterion on a published method.

14 organizations8 pillars · 5 graded What it runs on

Technology Index

Twenty-seven products that run cruise’s commercial systems, graded in the function each one serves, on the public record.

27 products9 pillars · 3 graded

The Evidence Base: seventeen research-backed findings across nine cruise commercial decision areas.

Each finding is tied to the decision it informs, from promotional incrementality to the pre-cruise commercial window, with the papers behind it cited in full. It is the shelf we read from before we open your data.

Read the evidence base

Book a review · 30 minutes · Both partners

Bring one live decision.

In 30 minutes with both partners, we will stress-test the question and tell you plainly whether deeper work is warranted, including “do not hire us” if that is the right answer.

The leader who owns the decision usually joins: the CEO, CCO, or head of Revenue, Finance or Loyalty. We reply within one business day. What happens next →

Your information is confidential. No mailing list, no drip sequence. If it is not a fit, we will tell you plainly.

Sources · Every numbered claim on this page

Cornell affiliation is for identification only
  1. [1]Ethan Hawkes, curriculum vitae, April 2026. Principal-reported and not independently audited. Public profile: linkedin.com/in/ethan-hawkes.
  2. [2]Cornell SC Johnson College of Business, faculty profile: Robert Kwortnik, Jr., business.cornell.edu/profiles/rjk34. Read 24 September 2026. Hawkes & Kwortnik is not affiliated with, reviewed, or endorsed by Cornell University.
  3. [3]Robert J. Kwortnik, curriculum vitae, Cornell University, January 2026, sections “Academic Positions” and “Published or Accepted Papers”, linked from his faculty profile. About four of the 30 are teaching cases.
  4. [4]Hawkes & Kwortnik, Guest Equity Architecture.
  5. [5]Hawkes & Kwortnik, Cruise Commercial Excellence Index, Q4 2026 edition, page reviewed 17 September 2026.
  6. [6]Rust, R.T., Lemon, K.N. & Zeithaml, V.A. (2004). Return on marketing: using customer equity to focus marketing strategy. Journal of Marketing 68(1), 109–127. doi:10.1509/jmkg.68.1.109.24030.
  7. [7]Hawkes & Kwortnik analysis of an independent New England coastal inn’s property-management system, read-only feed. Booking records created or changed 8 July–28 September 2026: 4,780 records, 4,656 not cancelled. Counts computed 29 September 2026; median booking lead time 32 days. “Direct” = website and phone channels; consent = the guest’s marketing-email flag; “rebooked” = a guest who stayed 8 July–28 September holds a non-group booking for 2027. Guest identity was hashed for de-duplication and never stored or published.
  8. [8]Each paper links to its DOI. Titles, authors, volumes and pages checked against Crossref on 24 September 2026.
  9. [9]Keiningham, T.L., Cooil, B., Andreassen, T.W. & Aksoy, L. (2007). A longitudinal examination of Net Promoter and firm revenue growth. Journal of Marketing 71(3), 39–51. Multi-industry; predictive power varies by operator and survey design.