Setting sail
For hospitality and travel marketers, understanding which marketing efforts lead to actual bookings can be a tidal shift. Windstar Cruises—renowned for its intimate yachts and off-the-beaten-path itineraries—wanted data-driven visibility into how digital media placements translated into confirmed reservations. Windstar turned to the strategic media expertise of MMGY, a leading integrated marketing company dedicated to the travel, tourism, and hospitality industries and Experian’s marketing data and identity solutions to bridge this gap. Together, they developed a closed-loop attribution system that directly tied digital campaigns to offline passenger bookings.
The challenge: Blind spots in the booking journey
Windstar Cruises had plenty of top-of-funnel metrics—impressions, clicks, website sessions, cruise quote requests—but struggled to connect these indicators to confirmed reservations. Without that link, it wasn’t easy to pinpoint which audience segments were most valuable in their marketing campaigns or accurately measure return on ad spend (ROAS). Traditional attribution methods and limited booking system data painted an incomplete picture, leaving Windstar to wonder which media channels and audience strategies were truly driving revenue.
MMGY and Experian: Bridging data gaps to power attribution
Comprehensive pixel tag
MMGY designed an online-offline measurement strategy and coordinated with Experian to deploy pixels across Windstar’s digital media placements. These pixels captured valuable event-level data—ad exposures, clicks, site visits, and more—so that every interaction could be matched back to a future booking if it occurred.
Identity resolution and data enrichment
Using the Experian identity graph, Experian matched Windstar’s reservation data with its extensive consumer database. This approach provided a precise, individual-level view of how digital interactions translated into real-world sales. By combining pixel data (which identifies who viewed specific ads) with reservation data (which shows who ultimately made a booking), the solution delivered a comprehensive, end-to-end, multi-touch perspective on the customer journey.
Advanced audience segmentation
Utilizing MMGY’s powerful Terminal audience modeling platform—which integrates MMGY Travel Intelligence performance and intent data, Experian’s consumer intent data, and the client’s first-party data— MMGY in conjunction with Experian’s marketing analytics team developed custom audiences designed to drive incremental traveler growth.
These audience segments identified travelers most likely to engage in the unique travel experiences Windstar offers. The insights revealed not only who these travelers are, but also where they consume media, how they make travel decisions, and what influences their purchasing behavior. This data guided the development of hyper-targeted media buys, ensuring Windstar’s messaging reached the right people on the right platforms at the right time—maximizing engagement and driving qualified leads.
The results: Mapping spend to bookings
By utilizing data connectivity and measurement, Windstar gained the insights needed to optimize every aspect of its marketing—audiences, media placements, channels, and more. This data-driven approach revealed which tactics were most effective and enabled Windstar to refine campaigns in real-time for maximum impact.
- 6,500+ bookings attributed to digital efforts: Over 6,500 bookings—valued at over $20 million—were tied to specific MMGY-managed placements, demonstrating which data-driven tactics led passengers to book. This level of attribution was only possible because we helped Windstar measure and connect the right data points.
- 13:1 ROAS: By investing $1.48 million in highly trackable, data-informed media, Windstar achieved an impressive 13:1 return on ad spend. Data connectivity gave Windstar the clarity needed to target the right audiences and channels—turning every $1 of spend into $13 of bookings.
- Actionable cost per booking benchmark: Armed with the ability to map ad spend to individual bookings, Windstar’s average cost per booking settled at $236. With insight into which audiences and placements performed best, Windstar adjusted its strategy in real-time, lowering acquisition costs across the board.
- High-value reservations: Attributed bookings were, on average, $500 higher in value than non-attributed bookings. By focusing on the right customer segments and messages—determined through precise measurement and segmentation—Windstar secured more bookings and maximized revenue per guest.
- Terminal Audiences outperformed: For Terminal-targeted segments, the ROAS soared to 28:1 with nearly half the cost per booking compared to non-Terminal audiences. This outcome illustrates how advanced data segmentation and connectivity deliver more profitable guests at lower acquisition costs—further proof that continuous optimization grounded in real data pays off.
What this means for travel and hospitality
Windstar’s success story illuminates a bigger truth for the travel and hospitality industry: closing the attribution loop is no longer optional. In a fiercely competitive marketplace, brands need concrete proof that their marketing investments drive awareness and translates into real revenue. By marrying MMGY’s travel-specific marketing acumen with Experian’s marketing data and identity solutions, travel brands can:
- Invest with confidence: Marketing investment flows to the most effective channels and placements based on actual bookings, not superficial metrics.
- Refine strategies: Real-time attribution data creates a feedback loop marketers can use to iterate on messaging, creativity, and targeting for even stronger results.
- Capture higher-value guests: Pinpointing and appealing to likely travelers allows marketers to increase booking volume and total revenue per booking.
Charting a course for data-driven success
By seamlessly linking digital exposure to confirmed reservations, Experian and MMGY gave Windstar Cruises the compass they needed to navigate the complexities of digital marketing confidently. This new level of insight is empowering Windstar to double down on the campaigns, creatives, and segments that move the needle the most.
For travel and hospitality brands worldwide, data-driven attribution goes beyond simply understanding what happened—it’s about shaping what comes next. When marketing decisions are guided by real customer journeys and precise ROI metrics, brands can make more innovative investments, foster stronger guest relationships, and chart a course toward sustainable growth. Ready to embark on your own data-driven journey?
Contact us to learn how Experian and MMGY can help you create impactful, measurable marketing strategies.
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About MMGY
MMGY is a leading integrated marketing company dedicated to the travel, tourism, and hospitality industries. With deep expertise spanning research, brand strategy, media planning, and creative execution, MMGY helps global travel brands forge meaningful connections with consumers. By utilizing data-driven insights, cutting-edge technology, and decades of experience, MMGY delivers strategic programs that capture attention and drive measurable results for its clients—ensuring that every marketing investment is tied to clear business outcomes.
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In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts
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