Hawkes & Kwortnik
Revenue Impact Partners

Commercial strategy advisory for cruise and hospitality leadership.

The average cruise line leaves $80–200M in annual portfolio value on the table* through pricing, guest mix, and experience decisions that no single department can see. We help leadership teams find it, prove it, and fix it.

How we get to $80–200M. The $80M floor is published research: attribute-based pricing yields 4–5% more fare revenue than undifferentiated approaches on a $2B ticket line (Namin, Gauri & Kwortnik, IJHM, 2020). The $200M upper range adds promotional non-incrementality (Sun, Kwortnik & Gauri, IJHM, 2020) and guest mix degradation effects on onboard revenue and rebooking. Range depends on fleet size, brand tier, and promotional intensity. Our illustrative decision chain below walks through the mechanics.
Book a Working Session
McKinsey MSC Cruises Celebrity Cruises Norwegian Marriott CLIA Cornell
Illustrative decision chain

How rational decisions
destroy enterprise value

A discount decision can look rational in isolation and still degrade guest mix, ancillary yield, and repeat-booking value. Move the slider and watch what happens downstream.

Standard promotional calendar
Fare discount to hit load target
0%18%
8%
Q1 Fare integrity erodes
RM discounts 8% to fill the last cabins. Occupancy target met. Nobody flags it because load is the KPI.
-$50M
fare revenue
Q1–Q2 Guest mix shifts
Discounted fares attract more price-sensitive buyers. Load report looks identical. The portfolio doesn't.
-4.0 pts
high-value share
Q2–Q3 Onboard revenue drops
Specialty dining, excursions, spa: all soft. The product didn't change. The guest did.
-7.2%
per-guest-day spend
Q3 Loyalty spend misfires
Discounted fares attract promotion-responsive guests. The loyalty program then rewards their price-sensitive booking behavior, subsidizing demand that would have occurred at higher fares.
$50M
wasted (41% of budget)
Q4 Your best guests notice
Top-decile guests sailing with a different crowd at a price they know was cheaper. Rebooking intent drops. This won't surface for 12–18 months.
-$150M
portfolio lifetime value
$150M
Estimated 12–24 month portfolio risk at these assumptions
-$150 M

Every function met its KPI. The enterprise still left value on the table.

Direct annual operating impact
Fare revenue foregone -$50M
Onboard revenue loss (from mix shift) -$30M
Loyalty/promo spend wasted -$50M
Direct annual impact -$130M
Portfolio lifetime value erosion
Guest mix degradation compounds across rebooking cycles
Lower-LTV guests acquired × lower rebooking rate × lower ancillary
Top-decile brand perception erosion (12–18 month lag)
Projected portfolio LTV impact -$150M
The portfolio number is not the sum of the direct impacts. It is the compounding effect: each dollar of misdirected spend changes the guest mix, which changes rebooking, which changes the denominator of every future revenue forecast. This is why customer equity, not any single operating metric, predicts enterprise value.

This is not really a discounting problem. It is what happens when guest portfolio decisions, pricing decisions, and experience decisions are made in separate systems. The slider is only exposing the gap.

The question is where the value loss starts.

Guest Portfolio. Commercial Discipline. Experience Design. Each addresses a distinct source of the erosion above. Managed together, they compound. In silos, which is the default, they work against each other.

Illustrative decision chain for a ~15-ship premium line ($2B ticket, $900M onboard, $120M loyalty/promo). Non-incrementality rate scales from ~20% at shallow discounts to ~75% at deep discounts. Numbers rounded to nearest $5–10M. Cascade mechanics informed by Rust, Lemon & Zeithaml (JM, 2004); Sun, Kwortnik & Gauri (IJHM, 2020); Namin, Gauri & Kwortnik (IJHM, 2020); Li & Kwortnik (JTR, 2017).
Three questions

Most cruise teams answer pieces of these.
Few answer them together.

01 · Guest Portfolio

Who are your most valuable guests, and what makes them valuable?

The guests creating the most long-term value are often not the most frequent or the highest-tier loyalty members, which is why many loyalty budgets drift toward rewarding the wrong behaviors. Published research puts the waste at 40–60% of total loyalty spend, subsidizing bookings that would have happened without the program.

40–60%
of loyalty spend may reward behavior that would happen anyway
Rust, Lemon & Zeithaml (JM, 2004) · Li & Kwortnik (JTR, 2017) · Kwortnik & Ross (2007)
02 · Commercial Discipline

Are your pricing, promotion, and loyalty decisions consistent with each other?

Ask three VPs what your most profitable guest looks like. If they give different answers (and they will), your commercial functions are optimizing for different definitions of value. Segmentation-based pricing lifts fare revenue 4%+ over undifferentiated approaches. On a $2B ticket line, that's $80M. Meanwhile, a meaningful share of your promotional calendar produces zero incremental bookings once effective price is controlled. The guests learned your cadence.

$80M
annual fare lift from segmentation-based pricing on a $2B line
Sun, Kwortnik & Gauri (IJHM, 2020) · Namin, Gauri & Kwortnik (IJHM, 2020)
03 · Experience Design

Is your experience architecture designed for memory, or for operational convenience?

Every competitor can match your price within a booking cycle. None can replicate the emotional architecture that makes your best guests come back regardless. Two identical sailings can produce different rebooking rates based on sequence alone. The fix isn't capital. It's sequencing and capacity shaping: moving your highest-margin experiences to when guests are most receptive.

Memory
drives rebooking. Rebooking drives LTV. LTV determines your valuation.
Dixon, Victorino, Kwortnik & Verma (POM, 2017, POMS Most Influential Paper) · Kwortnik & Thompson (JSR, 2009)
What the research found

Five common assumptions the evidence doesn't support.

Assumption 01

"Our most loyal guests are our most profitable."

First-time repeaters are the most valuable behavioral segment. They book further out, upgrade cabin categories, and pay more per cabin type. Multi-time repeaters book closer in, buy down, and are more price-sensitive. The industry's loyalty investment may be flowing to the wrong guests.

Sun, Kwortnik & Gauri, Intl. Journal of Hospitality Management, 2018
The highest-ROI move may be converting first-timers to second-timers, not rewarding heavy repeaters.
Assumption 02

"Our brand tier defines our competitive set."

Guests categorize cruise lines by perceived experience, not marketer-defined tiers. An evidence-based three-category model (standard, premium, extraordinary) predicts booking behavior and willingness to pay better than the industry's own typology. Food and entertainment are the primary differentiators.

Li & Kwortnik, Journal of Travel Research, 2017
You may be pricing against the wrong brands and benchmarking against the wrong experience.
Assumption 03

"If they loved it, they'll come back."

Even cruise guests who report the highest satisfaction switch brands, not because they were disappointed, but because they seek variety. Four segments drive this: Enthusiasts, Loyalists, Two-Branders, and Explorers. Most retention programs treat them identically.

Kwortnik et al., Journal of Travel Research, 2022
If you can't tell which satisfied guests are about to switch, your retention spend is a blunt instrument.
Assumption 04

"Our pricing captures the market."

Attribute-based pricing using demographics, distance to port, and booking window yields 4–5% more fare revenue than undifferentiated approaches. On a $2B ticket line, that's $80–100M annually. If pricing reflects what is booked and when, but not who, significant yield is left on the table.

Namin, Gauri & Kwortnik, Intl. Journal of Hospitality Management, 2020
Pricing that ignores the guest's relationship and behavior profile leaves the largest single dollar opportunity untouched.
Assumption 05

"The ship is where we deliver the experience."

The ship is the experience. One cruise line invested $100M marketing a promise of freedom and flexibility, but operations couldn't deliver it, and the gap eroded guest satisfaction for years. Separately, research on the "shipscape" shows that design elements, crowding, and crew interactions shape brand perception and rebooking intent as much as service delivery itself.

Kwortnik & Thompson, Journal of Service Research, 2009; Kwortnik, IJCTHR, 2008
Design decisions that feel operational are commercial decisions.

These patterns are in your data. We help cruise leadership teams find which ones are costing the most, and what to do about them.

How we work

Find the question. Build the evidence. Transfer the capability.

Phase 01
Find the question

2–4 conversations to identify the commercial decision that matters most. We don't start with a framework. We start with what's keeping you up at night.

1–2 weeks
Phase 02
Build the evidence

Principals-only analysis. Your data, our methodology, published research as the backbone. The output is a recommendation you can defend to your board.

3–6 weeks
Phase 03
Make the thinking yours

The deliverable belongs to your team. The framework stays when we leave. We build decision-making capability, not consulting dependency.

Ongoing
What the work looks like

Sample finding from a promotional effectiveness diagnostic.

Disguised engagement · methodology illustrative

A 15-ship premium line running a standard promotional calendar. The commercial team believed promotions were driving incremental bookings. We applied quasi-experimental holdout analysis to 18 months of booking data, comparing promotional windows against matched control periods to isolate true incrementality.

18–26%
of promo spend non-incremental
MODELED (H&K) · holdout analysis
$8–14M
projected annual lift from reallocation
ESTIMATED · range reflects segment mix sensitivity
4 weeks
from kickoff to board-ready recommendation
REPORTED
Most sensitive input: share of promotional bookings in wave-season windows. A 5-point change in wave-season overlap shifts the non-incremental estimate by 3–4 points. Final precision requires access to booking-level promotional attribution data.
What sets this apart
What we are

A two-person advisory practice. Principals on every engagement. No junior staff, no subcontractors. We combine published cruise and hospitality research with C-suite operating experience. When we make a recommendation, we have held the P&L it touches.

What we are not

We are not a generic consultancy that "also does cruise." We don't sell software. We don't maximize yield at the expense of the guest relationship. And we don't publish papers and leave implementation to you. We build decision-making capability that your team owns when we leave.

Who we are

The research and the operating experience. Together.

Ethan Hawkes
Ethan Hawkes, MBA
Managing Partner

Former VP of Onboard Revenue at MSC Cruises. Nearly a decade at McKinsey advising hotel and cruise clients across three continents. CEO and co-founder of PlacePass, a travel experiences marketplace with $500M+ in gross bookings, acquired by Hopper. Cornell Hotel School and Johnson MBA.

At MSC, I ran the P&L these frameworks are designed to optimize. At McKinsey, I saw the advisory model that doesn't work for cruise. H&K exists because both experiences taught me what was missing.
Dr. Rob Kwortnik
Dr. Rob Kwortnik
Academic Partner

Associate Professor at Cornell's Nolan School of Hotel Administration since 2002. 30+ publications in top journals including Journal of Marketing, Journal of Travel Research, IJHM, and Production & Operations Management. Advisory engagements with Marriott, Celebrity Cruises, Norwegian, and CLIA. 10-time Teacher of the Year.

The five assumptions section above? Those findings came from studying the data cruise operators generate but rarely analyze with this lens. The research exists. The application gap is what we close.
Perspectives

What we're thinking about.

Guest Portfolio
The loyalty spend problem nobody talks about

First-time repeaters are the most valuable behavioral segment in cruise. Most loyalty programs are designed for the opposite guest. The research and what to do about it.
Commercial Discipline
Booked, not departed: the revenue you can still influence

Between the booking and the gangway is the highest-impact commercial window in cruise. Most operators treat it as a fulfillment problem.

Bring one live commercial decision.

In 30 minutes, we'll pressure-test the question, identify the evidence gap, and tell you honestly whether deeper work is warranted.

No deck required One decision only You leave with a sharper question
No email client required. We'll route the request directly to our inbox.
We'll be in touch within one business day.
If you don't hear from us, check spam for a reply from ethan@hawkeskwortnik.com.