Based on the Q1 U.S. Travel Association Consumer Quarterly Tracker conducted by Ipsos, 52% of American adults are eagerly planning to embark on leisure travel within the next six months. With the pandemic limiting travel opportunities for so long, people are more willing than ever to prioritize travel and make up for lost time. With the summer vacation season upon us, it’s crucial to identify consumers who are eager to travel and implement a targeted travel advertising strategy. To help you stand out in the competitive marketplace, we’ll share five audiences you should consider when building out your summer travel advertising activation plan.
Five travel advertising audience categories
With so many travel audiences out there, it can be overwhelming to figure out which ones to target. That’s why we’ve compiled a list of the top five audience categories you should focus on:
- Seasonal spenders
- Frequent travelers
- Travel transportation methods
- Luxury travelers
- Vacation type
Let’s break down each category so you can better understand the travel behaviors and preferences of each group.
Seasonal spenders

These travelers are known for their willingness to spend during peak travel seasons. They’re willing to spend more for travel experiences and have a high propensity to travel.
Let’s take a look at a few audience segments included in this category that you can activate as part of your summer travel advertising strategy.
- Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Summer Trips: Consumers in this segment are frequent, high spenders of summer travel.
- Mobile Location Models > Visits > Summer Break Travelers: Consumers in this segment are likely to travel during summer break.
Retail Shoppers: Purchase Based
With Experian’s Retail Shoppers: Purchase Based audiences, you can reach consumers who have a high propensity to buy in specific categories like toys, furniture, apparel, and more. This audience is created by combining known credit and debit transactions with advanced modeling to ensure the highest likelihood of future purchases.
You can use these audiences to find travelers interested in the outdoors that spend their money on related gear and activities, or travelers who use rental cars throughout their trip.
Mobile Location Models
Our Mobile Location Models are based on a statistical analysis of mobile location data from devices. The model is built from individual, household, and area-level Experian Marketing Data.
You can use these audiences to find travelers that like to visit theme parks, travel during the July 4th holiday, and travel during summer break.
Frequent travelers

Consumers in this audience category prioritize travel as a lifestyle choice and they’re always looking for their next adventure. They’re willing to spend money to make their travel dreams come true and often participate in loyalty programs to earn rewards.
Here are just a few examples of the audience segments you can activate to target frequent travelers as part of your travel advertising strategy:
- Lifestyle and Interests (Affinity) > Travel > Frequent Flyer Program Member: Consumers in this segment are likely to be members of frequent flyer programs.
- Retail Shoppers > Purchase Based > Travel > Hotels > Frequent Spend: Consumers in this segment frequently spend at hotels like Holiday Inn, Hyatt, Marriott, and Wyndham.
Lifestyle and Interests
Experian’s Lifestyle and Interests audience segments make it easy to identify and target consumers based on their lifestyle characteristics. These audiences cover a wide array of lifestyle categories, such as:
- Activities/Interests
- Purchasing Behavior
- Contributors/Memberships
- Lifestyle/General
You can use these audiences to find travelers that enjoy boating, like to visit zoos, and are fishing enthusiasts.
Travel transportation methods

This audience category consists of the transportation methods travelers use to reach their destination or use throughout their travel experience.
Here are just a few examples of the audience segments you can activate to target travelers based on their preferred mode of transportation as part of your travel advertising strategy:
- Autos, Cars, and Trucks > Vehicle Lifestyle Ownership > Recreational Vehicle (RV) Travelers: Consumers in this segment are likely to currently own an RV and use it for travel.
- Lifestyle and Interests (Affinity) > Travelers > Air Travel (FLA / Fair Lending Friendly): Consumers in this segment are interested in traveling by plane based on their internet activity in the last 90 days.
Luxury travelers

These high-end travelers seek exclusive, high-end experiences, from top-tier dining to luxurious accommodations.
Here are just a few examples of the audience segments you can activate to target luxury travelers as part of your travel advertising strategy:
- Consumer Financial Insights > Discretionary Spend – Travel > $10,000+: Consumers in this segment are likely to spend more than $10,000 for travel.
- Retail Shoppers: Purchase Based > Travel > Hotels: Luxury: Consumers in this segment are frequent, high spenders at high-end hotels like Renaissance Hotels, Westin, and Hilton Hotels.
Vacation type

Unlike the previous categories, our vacation type category focuses on the type of trip a traveler is planning and the destination they’re heading to. Whether it’s a beach getaway or an adventure-filled trip, segments within this category can help you target consumers looking for those particular experiences.
Here are just a few examples of the audience segments you can activate to target travelers by vacation type as part of your travel advertising strategy:
- Retail Shoppers: Purchase Based > Travel > National Park Travelers: Consumers in this segment are likely to travel to national parks.
- Travel Intent > Activities > Winery Distillery Brewery Tours: Consumers in this segment are likely to visit wineries, distilleries, and breweries while traveling.
Family size and structure
In addition to our five recommended summer travel advertising audience categories, it’s important to add audiences related to family size and structure to your targeting strategy for the summer travel season.
Families with children, for example, are a significant market for summer travel, as parents are looking to create memories with their kids before they go back to school. Families with children have distinct needs and preferences when it comes to travel. For instance, they may need larger accommodation options, kid-friendly activities, and safe environments.
On the other hand, married couples with no children or single travelers may have different preferences for their travel experiences. These groups may be looking for more adventurous or adult-oriented experiences, such as camping, hiking in national parks, or winery tours. By segmenting your audience based on family size and structure, you can provide more relevant and personalized recommendations to your target audience, leading to higher engagement and conversion rates.
Here are just a few examples of the audience segments you can activate to target travelers based on their family size and structure as part of your travel advertising strategy:
- Demographics > Marital Status > Single: Consumers in this segment are likely to be single.
- Lifestyle and Interests (Affinity) > Moms, Parents, Families > Married Mothers: Consumers in this segment are likely to be married females with at least one child under the age of 18 years old.
- Demographics > Presence of Children > Ages: 0-18: Consumers in this segment are likely to have children between the ages 0 to 18 years old in a household.
- Demographics > Presence of Children > Ages: 7-9: Consumers in this segment are likely to have children between the ages 7 to 9 years old in a household.
We can help you reach summer travelers
From seasonal spenders to luxury travelers, there are a host of audiences you should keep in mind as you build out your summer travel advertising strategy. Experian audiences can help you tap into the potential of your summer campaigns by enabling you to identify, reach, and engage with a variety of travelers in their preferred channels.
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Why an identity framework matters more than any single identifier The challenge facing marketers today isn’t a single identifier on a deprecation timeline. It’s the increasing fragmentation of signals and identifiers across browsers, devices, apps, and platforms. This shift introduces complexity into how audiences are reached and measured, as signals behave differently in every environment, and it becomes more complex to piece together a complete view of the consumer. Each environment contributes to its own set of visibility gaps, making identity less predictable and more uneven. The result is a patchwork of inconsistent identity signals rather than a single, predictable decline. While you can’t control how platforms evolve, you can control how you respond to fragmentation. The future won’t be defined by the loss of any single identifier, but by your ability to unify, interpret, and activate the many signals that remain. Marketers who adopt a flexible, identity framework will be best positioned to create consistency in an otherwise fragmented landscape. At Experian, we believe flexibility starts with intelligence. For decades, we’ve used AI and machine learning to help marketers understand people’s behavior more clearly, respect their privacy, and deliver messages that drive business outcomes. Our technology brings identity, insight, and intelligence together, so even as the number of signals grows and becomes more varied across environments, marketers can reach the right people with relevance, respect, and simplicity. This intelligence acts as the connective tissue across fragmented ecosystems, ensuring marketers can recognize and reach audiences consistently wherever they appear. What forces are driving fragmentation in identity and signals? Changes to traditional IDs: Since Apple introduced ATT, access to IDFA has become inconsistent across apps and devices. Google’s evolving Android privacy roadmap adds another layer of variability, fragmenting mobile addressability. Safari and Firefox have long restricted third-party cookies, while Chrome continues to support them for now. This creates different signal availability across browsers, contributing to an uneven and increasingly fragmented identity landscape on the open web. Shifts in signals: IPv4 to IPv6 migration introduces mismatched identity structures that complicate continuity across environments. Platform-driven fragmentation: Closed ecosystems and uneven adoption of evolving RTB standards (like OpenRTB 2.6 updates designed to support new identifiers and consent signals) create differences in which identifiers and consent signals are shared in the bidstream. At the same time, the rise of alternative or “universal” IDs—often developed by individual platforms, publishers, or technology companies—means that multiple ID types can appear within the same auction, each with its own structure, rules, and level of support. These differences reduce interoperability across platforms and contribute to a more fragmented activation landscape. Each change creates an identity silo. Together, they form an ecosystem defined by fragmentation rather than absence. Without an identity framework, these environments operate as disconnected identity islands. A multi-ID world requires a unified identity framework Alternative IDs play an important role, but they also expand the number of signals marketers must reconcile. Without a consistent identity layer, more IDs often mean more complexity—not more clarity. Common alternative IDs in use today: UID2: The Trade Desk’s UID 2.0, an iteration of their original Unified ID 1.0, which was still reliant on third-party cookies, creates persistent IDs with user-provided email addresses and phone numbers. ID5: This independent identity provider builds an identity infrastructure that powers addressable advertising across channels. It can create an ID based on both deterministic and probabilistic data. Hadron ID: Hadron ID is a unique, interoperable identity system (including first-party, audience-based, contextual, deterministic, and probabilistic) developed by Audigent, now part of Experian, to drive revenue for publishers by making their audience data and inventory actionable for media buyers. Industry reports suggest roughly one-third to two-fifths of open-auction traffic carries alternative IDs, sometimes multiple per request. Among Experian clients, adoption of alternative IDs rose 50% year over year, with a 30% increase in IDs resolved to individuals via our Digital Graph. Identity isn’t disappearing; it’s multiplying. A modern identity framework resolves these identifiers into a single, privacy-safe consumer view.

Year after year, CES signals where marketing is headed next. In 2026, the message was clear. Progress comes from connecting data, intelligence, and outcomes with discipline, not spectacle. Across AI, programmatic media, and measurement, the same priorities surfaced again and again. Under the bright lights of Las Vegas, three themes cut through, and each one pointed to a future where data, intelligence, and outcomes move in lockstep. Here are the three themes that defined CES 2026. 1. Agentic AI proved that it’s only as good as its data inputs AI was once again the star of the show. At CES 2026, marketers focused less on demos and more on proof that AI improves decisions, reduces friction, and drives outcomes. Every credible use case traced back to accurate, privacy-first data. What changed at CES was how that intelligence is being applied. Agentic AI systems designed to act autonomously are moving beyond insights and into execution. From media buying to optimization, these agents are increasingly expected to make decisions at speed and scale. That shift raises the stakes for data quality. When AI is operating campaigns, not just informing them, accuracy and privacy are non-negotiable. Without accurate, privacy compliant data, AI agents struggle to reflect real behavior or support responsible personalization. A reliable, privacy-first data foundation is what turns AI from an interesting experiment into an operational advantage. That advantage gets even stronger when it’s anchored in an identity graph that understands people and households across channels. When identity and intelligence move together, AI becomes more accurate, accountable, and effective at driving outcomes. In an AI first world, the strongest signal isn't scale. It's data quality. 2. Curation goes mainstream Curation is no longer experimental. At CES, it showed up as an mandated capability for buyers and sellers navigating fragmented signals and complex supply paths. Marketers want intentional media buys they can explain, defend, and repeat. AI is accelerating this shift. As AI systems take on more responsibility for planning, packaging, and optimization, curation provides the guardrails. It defines what “good” looks like (premium supply, trusted data, and clear performance goals), and allows AI to operate within those constraints driving the optimal outcomes for marketers. Rather than maximizing inventory access, curation prioritizes control, transparency, and performance. Buyers want premium supply aligned to specific goals. Sellers want clearer paths to demand. They can play the odds or own the outcome. When data leads, they own it. When curation is powered by high-fidelity audiences and a connected identity framework, it becomes even stronger. That’s what allows curated deals to deliver clarity, confidence, and repeatable performance. This shift reflects a broader move away from probability-based buying toward outcome ownership, where AI-driven systems are measured not on activity, but on results. 3. Activation and measurement finally shared the same stage Activation and measurement are now coming together around shared data and identity. CES 2026 marked a turning point where closing the loop felt achievable, not aspirational. Both the buy- and sell-sides face pressure to show that media investment drives outcomes. Agentic AI was a quiet driver of this optimism. As AI agents increasingly manage activation decisions in real time, marketers need measurement systems that can keep up. That requires a shared data and identity foundation. One that allows AI-driven actions to be evaluated against outcomes consistently, across channels and partners. 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But only for teams with the right foundation. AI is maturing, but only for teams with accurate, connected, privacy-first data that AI agents can act on responsibly. Curation is scaling, giving both humans and AI systems clearer paths to quality, control, and differentiation. Activation and measurement are aligning, allowing AI-driven decisions to be judged on outcomes, not assumptions. We’re building for that world today. One where agentic AI operates on a trusted data and identity foundation, curation defines the rules, and outcomes determine success. With the right foundation and the deep data inputs, you can move faster, reduce risk, and let intelligence (human and artificial) work together to deliver results that last long after the neon lights fade.