In this article…
Summer may be vacation season for consumers, but it’s go time for marketers. Between holiday weekends, travel season, and changing shopping habits, the pressure is on to deliver campaigns that land and convert.
If you’re feeling behind, you’re not alone. Many marketers face the same challenge every year: How do you actually use the customer data you have to fuel high-impact, seasonal marketing? And how do you ensure your brand shows up in front of the right people in the right place before the competition beats you to it?
That’s where Experian comes in. With Experian’s advanced Audience solutions, you can get ahead of the trends, connect with vacation-ready shoppers, and optimize performance across digital, TV, and retail media using customer data for seasonal marketing.
Capitalize on vacation excitement to drive sales and growth
Summer travel often triggers a surge in pre-trip spending. Surveys show that 82% of consumers plan to travel this summer, and according to Fortune, today’s travelers spend thousands of dollars on things like luggage, apparel, and recreation gear before they even leave their homes!
But while consumer demand is heating up, so are the challenges. Marketers are navigating a turbulent economic environment shaped by shifting demand curves, tighter budgets, the rising cost of goods, and supply chain disruptions caused by newly imposed tariffs. These pressures are forcing teams to rethink everything from product positioning to pricing strategies.
In this climate, it’s more important than ever to maximize performance, reduce waste, and stay laser-focused on reaching high-intent audiences likely to convert. Using customer data for seasonal marketing helps brands predict and capture demand with precise, relevant targeting. Whether your customers are planning a trip to the beach or hiking the Rockies, timely messaging and audience alignment can drive engagement and conversion.
Experian Audiences power effective audience strategies
But even the most compelling campaigns can fall flat if you’re working with incomplete data, outdated segments, or generic targeting. Consumer data providers like Experian can help you fix that.
Our Audience solutions help you go beyond assumptions and truly understand who your shoppers are, what they’re planning, and how they behave, so you’re ready to get in front of their summer plans.
Six steps to creating a successful seasonal marketing campaign
When you’re ready to turn summer intent into strategy, Experian Audience solutions help you translate vacation-driven behaviors into high-performing campaigns. Each product in the Experian Audience suite supports a specific stage in seasonal marketing planning and execution.
1. Define your goals
Before diving into channels and creatives, get clear on your customer database marketing goals. Are you trying to increase online purchases? Drive in-store traffic? Expand brand awareness?
Use Syndicated Audiences to set fast, focused goals. If you’re short on time, Experian’s 2,400+ Syndicated Audiences give you a head start. These pre-built, behavior-based segments — from luxury travelers to seasonal sports enthusiasts — help you quickly identify who to target, where they spend time, and how to message to them.
With segments ready to plug into 30+ activation platforms, you can ensure quick, confident activation.
2. Decide what data you need and which audiences to target
Using customer data for seasonal marketing means mapping behavior to intent. This core tactic in customer database marketing can help you drive deeper engagement. Our data solutions simplify the process, whether you’re starting with limited data or already know your best customers.
- If you’re starting with a list, Enrichment can append lifestyle, income, and travel preference data to help you understand what motivates your existing customers.
- If you don’t have a list, Marketing Attributes gives you full control when building new audiences or lookalikes based on relevant seasonal traits like beach vacationers or frequent CTV watchers.
3. Identify key holidays and events
Summer is full of shopping triggers: Memorial Day, Father’s Day, Fourth of July, Labor Day, and countless local and regional events. However, not every customer behaves the same way.
Use Enrichment to understand when your customers are most likely to act. By comparing your first-party data to broader market segments, you can time promotions more strategically. For instance, enrichment might reveal that outdoor gear buyers convert in early June, while luxury travelers plan closer to July.
4. Activate across digital, TV, and retail media
Summer shoppers don’t stick to one screen. They’re streaming TV, reading travel blogs, browsing retail apps, and catching up on email — often from a beach chair or airplane seat. That’s why omnichannel delivery is a must, and it’s where consumer data vendors like Experian can help you reach your audience across channels with targeted messaging for key holidays and events:
- Syndicated Audiences simplifies omnichannel activation with built-in integrations to 30+ leading activation platforms. These pre-mapped segments let you deliver consistent messaging across the places where your audience is most engaged.
- Looking for privacy-forward reach? Contextually-Indexed Audiences are segments built by linking real-world behavioral data to the types of content those audiences typically consume online, allowing you to activate based on content instead of identity while offering a more contextually relevant experience. Using customer data for seasonal marketing, Experian maps real audience segments across web and app environments — like national park guides and travel blogs — for ID-free precision targeting in a cookieless environment.
5. Track and evaluate performance
Don’t wait until the end of the campaign to make changes. Experian’s measurement tools help you track performance in real time, so you can optimize early and often.
Measure how well specific audiences — enriched, syndicated, or contextual — are performing across platforms and use those insights to shift spend toward top performers.
6. Optimize and refine your strategy
After the season ends, it’s time to take what you’ve learned and build smarter for the next push.
Use Outcomes to analyze:
- Who converted
- Which segments underperformed
- How your customer base compares to the broader market
- How your audience evolved
- Which campaigns drove meaningful adoption
These insights can then inform your next round of audience building, so whether it’s back-to-school or a holiday, you’re already ahead.
Example 1: The beach vacation shopper
To illustrate Experian’s Audience solutions at work, let’s say a high-end swimsuit brand wants to reach women over 30 planning beach vacations to Florida, Hawaii, or Mexico. However, their CRM only includes basic transaction and purchase details and offers little insight into who their customers are.
Audience solution: Enrichment
Using Experian’s Enrichment solution, the brand could layer on lifestyle, income, and travel preference data to turn shallow profiles into rich audience segments.
With a deeper understanding of their shoppers, the brand could develop a targeted messaging strategy by destination, build high-performing lookalike audiences, and confidently activate across channels.
Example 2: The European traveler
As another example, suppose a footwear brand wants to reach millennial travelers heading to Europe between May and August. They specialize in stylish, comfortable walking shoes that are ideal for travel but lack the technical in-house resources to build custom segments.
Audience solution: Syndicated Audiences
Using our Syndicated Audiences, the brand could easily tap into pre-built segments tied to leisure travelers, international shoppers, and comfort-focused footwear buyers. With plug-and-play access to over 2,400 verified audience segments, the brand could quickly layer this targeting into their programmatic and paid social campaigns without requiring custom development.
And with fast speed-to-market and improved message relevance, the brand could launch cross-channel campaigns just in time for peak summer travel planning.
Example 3: The outdoorsman
Consider a camping tent company that wants to reach families planning summer trips to national parks, campgrounds, or RV resorts. They don’t have much first-party data to work with, but they know their audience is online, researching their next adventure.
Audience solution: Contextually-Indexed Audiences
With Experian’s Contextually-Indexed Audiences, the brand could target people actively reading content about outdoor travel (like hiking tips, campground reviews, or road trip itineraries) without relying on cookies or IDs. They’d be able to activate contextually relevant audiences mapped to sites that outdoor enthusiasts frequent and drive site traffic with strong click-through rates.
Example 4: Big-box retailer launching summer gear
Imagine a national retailer preparing to promote summer essentials like patio furniture, grills, fitness gear, and travel accessories. Their goal is to build predictive models for their summer product demand and reach new customers most likely to buy before they even search.
Audience solution: Marketing Attributes
With Experian’s Marketing Attributes, the retailer could license over 5,000 lifestyle, demographic, and behavioral variables to enrich internal models and uncover high-indexing consumer groups, such as outdoor entertainers or health-conscious families.
This data-powered insight would help them predict demand and identify audience segments worth testing across media channels. The team could find new, qualified segments ideal for email and CTV activation and get a head start on the season, eventually increasing ROI on their summer campaign spend.
Talk to Experian about your summer campaigns today
Using customer data for marketing doesn’t have to be overwhelming, especially when you have access to a trusted consumer data provider and plug-and-play audience tools for every stage of the funnel.
Whether you’re working with a robust CRM or starting fresh, consumer data vendors like Experian can help you reach the right audiences with speed, accuracy, and confidence. Our advanced tools are designed for both advanced marketers and teams just beginning to explore consumer database marketing. No matter your goals, Experian is here to help you build an audience strategy that performs.
Contact us today
Latest posts
Audigent, a part of Experian, was named Microsoft Advertising’s Curator of the Year. The honor recognizes Audigent’s leadership for advancing privacy-safe, sell-side curation that packages high-quality audiences with premium supply for measurable campaign performance. Once only a buzzword, curation has become a mainstream strategy for activating advertisers’ first-party data and streamlining programmatic buying. To recognize this shift and the leaders driving it, Microsoft introduced Curate and established the Curator of the Year award to celebrate excellence in this category. Audigent was recognized for: End-to-end curation from audience planning through activation for outcomes-based, closed-loop programs. Breadth of deal and supply types using unique datasets, real-time supply connections and always-on optimization. Data-driven activation with curation across a large publisher footprint that utilizes Experian marketing data, first-party data, and partner audiences. Audigent’s unique, contextual, and predictive audience data solutions are built into all programmatic media buying. The combination of Audigent’s Real-Time Data and Curation Platform and first-party data, along with Experian identity and optimization, turns real engagement into ready-to-activate audiences. These audiences are available within Microsoft Curate and across omnichannel buying. "Audigent is proud to be named Microsoft Advertising’s Curator of the Year. This is a clear validation of the work our team has done to make curation the new standard in data-driven programmatic activation. We will continue to set the standard by expanding curated deals in Microsoft Curate. This will help maximize efficiency across the bidstream.”Chris Meredith, Head of Supply Side Partnerships Together, Experian and Audigent connect identity to inventory, enabling advertisers to reach the right audiences with precision and scale. By harnessing Experian identity and audience solutions and activating Audigent-curated deals in Microsoft Curate, brands can unlock new levels of efficiency and performance across every programmatic channel. This recognition sets the stage for even greater innovation, collaboration, and results in the year ahead. Ready to design your curated library? Let's connect Latest posts
How third-party data has changed and why it matters in 2025 For years, third-party data operated in an expansive, lightly regulated marketplace: fast-moving, high-growth, and filled with players eager to capitalize on digital marketing’s demand for audience insights. That era is over. Regulatory scrutiny, stricter compliance standards, and rising consumer expectations have already transformed the market. Today, third-party data belongs to partners with proven expertise and built-in compliance. This isn’t a space for opportunistic newcomers; it’s one that rewards long-term commitment and trust. Even the rapid rise of retail media networks (RMNs) reflects this shift. These platforms are built on long-standing, trusted relationships between brands, retailers, and data partners, utilizing that foundation in new ways to reach audiences responsibly and effectively. The best providers have already made this transition; those still “shifting” are catching up. From growth to governance: A market defined by accountability The third-party data ecosystem has matured. After years of rapid expansion and recalibration, the market has stabilized around a new standard: data quality and regulatory accountability. Third-party data enriches first-party insights with attributes such as income, gender, and interests that round out the customer view. But when the industry grew unchecked, unreliable providers diluted quality and trust. This resulted in a decline in the overall value and reliability of the third-party data marketplace. That breakdown led directly to today’s privacy laws, now active across more than 20 U.S. states and numerous countries worldwide. These regulations reflect a permanent consumer expectation: relevance delivered responsibly. Consumers aren’t rejecting personalization; they’re rejecting how it’s been done in the past. They still want relevant, tailored experiences, but they expect brands to deliver them through ethical, transparent data practices. Does third-party data still matter in a privacy-first era? Third-party data isn’t disappearing, if anything, it’s become more important. Brands will always need additional insight to deepen customer understanding; first-party data alone only reflects what’s already known. The industry has entered a mature phase where data quality and compliance are table stakes. The companies leading today built their data infrastructure on rigorous standards, regulatory foresight, and transparent governance. That same foundation powers the next wave of innovation, including the explosive growth of RMNs. RMNs rely on responsibly sourced third-party data to enrich shopper insights, validate audiences, and extend addressability beyond their own walls. Trusted data partners make that expansion possible, connecting retail environments with broader media ecosystems while maintaining privacy and accuracy. High-quality, compliant third-party data remains essential because it: Fills knowledge gaps Good third-party marketing data complements first-party insights with demographic, behavioral, and transactional context, providing the missing puzzle pieces to complete the full customer profile. Improves accuracy Filling in gaps in customer understanding helps you identify, reach, and engage your customers more effectively. This helps improve the delivery of relevant messages and offers to your customers and prospects across channels. Builds connections Third-party data helps brands build loyalty with consumers by speaking to their interests, and intent behind purchases. Fuels prospecting Third-party data can help you find your best prospects. By enriching customer files, you can understand who your best customers are, and how to find more of them. By modeling this data, you can determine who your best customers are and source prospects similar to them. Advancements in AI and machine learning are reshaping how this data is used across the ecosystem. What was once primarily a buy-side tactic is now expanding into the sell-side, where publishers and platforms are using data to curate, package, and activate audiences more intelligently. As AI enhances modeling accuracy and automation, third-party data will play an even greater role in connecting brands and consumers in more meaningful, privacy-conscious ways. The bottom line: it’s not about having more data; it’s about having better, verified data you can trust. How can you spot a trustworthy data partner? The strongest third-party data partners demonstrate accountability through experience, infrastructure, and integrity. Swipe right on the perfect data partner Look for providers that: Operate with clear data principles Trustworthy partners publish and follow codified data principles that guide every step of data handling. Experian adheres to a set of global data principles designed to ensure ethical practices and consumer protection across all our operations. Treat new privacy regulations as routine For mature providers, evolving privacy laws are routine, not disruptive. At Experian, privacy and compliance have long been built in. Every partner and audience goes through Experian’s rigorous review process to meet federal, state, and local consumer privacy laws. Decades of experience have shaped processes that emphasize risk mitigation, transparency, and accountability. Stay deeply connected Leading data companies maintain deep relationships with technology partners and industry and regulatory groups to ensure that ethical data practices are put into practice and their customers are aware of platform-specific regulations. Experian's relationships with demand-side platforms (DSPs), supply-side platforms (SSPs), and even social platforms like Meta, ensures we are aware of any platform-specific initiatives that may impact audience targeting. We’re also active participants in many trade groups to ensure that the industry puts ethical data practices in place to ensure consumers still receive personalized experiences but their data usage and collection is opt-in, transparent and handled with their privacy at the center of the transaction. Have a proven track record in the industry Longevity matters in a regulated and compliance-driven industry. Providers that have thrived through economic cycles and regulatory shifts are the ones equipped for the future. The ability to source high-quality third-party data is core to their business, not an afterthought. Our data is ranked #1 in accuracy by Truthset, giving our clients confidence that every decision they make is backed by the industry’s most reliable insights. Why the future of third-party data depends on accountability The third-party data industry has already crossed the threshold from expansion to accountability. The companies leading this era have established their credibility through governance and proof. The future belongs to providers that: Build with regulatory foresight Maintain rigorous quality assurance Prioritize partnership over profit The Wild West days are long gone. The third-party data ecosystem is now defined by stability, transparency, and shared responsibility. Partner with Experian for data you can trust and results you can prove When accuracy and accountability define success, you need a partner built on both. Work with the company that’s setting the standard for responsible data-driven marketing and helping brands connect with people in meaningful, measurable ways. Get started About the author Jeremy Meade, VP, Marketing Data Product & Operations, Experian Jeremy Meade is VP, Marketing Data Product & Operations at Experian Marketing Services. With over 15 years of experience in marketing data, Jeremy has consistently led data product, engineering, and analytics functions. He has also played a pivotal role in spearheading the implementation of policies and procedures to ensure compliance with state privacy regulations at two industry-leading companies. FAQs What is third-party data? Third-party data is information collected by organizations that don’t have a direct relationship with the consumer. It supplements first-party data by adding demographic, behavioral, and interest-based insights. Why are privacy regulations reshaping data practices? Privacy regulations are reshaping data practices because consumers expect control over how their information is used. That expectation led directly to today’s privacy laws, now active across more than 20 U.S. states and numerous countries worldwide. These regulations reflect a permanent consumer expectation: relevance delivered responsibly. Consumers aren’t rejecting personalization; they’re rejecting how it’s been done in the past. They still want relevant, tailored experiences, but they expect brands to deliver them through ethical, transparent data practices. Laws like the CCPA and state-level privacy acts enforce this expectation, holding brands and data providers accountable for the ethical use of data. Can brands still use third-party data safely? Yes, brands can still use third-party data safely when sourced responsibly. Partnering with established, compliant providers like Experian ensures both legal protection and data accuracy. How does Experian ensure compliance with evolving privacy regulations? Experian adheres to a set of global data principles designed to ensure ethical practices and consumer protection across all our operations. At Experian, privacy and compliance have long been built in. Every partner and audience goes through Experian’s rigorous review process to meet federal, state, and local consumer privacy laws. Decades of experience have shaped processes that emphasize risk mitigation, transparency, and accountability. Experian's relationships with demand-side platforms (DSPs), supply-side platforms (SSPs), and even social platforms like Meta, ensures we are aware of any platform-specific initiatives that may impact audience targeting. We’re also active participants in many trade groups to ensure that the industry puts ethical data practices in place to ensure consumers still receive personalized experiences but their data usage and collection is opt-in, transparent and handled with their privacy at the center of the transaction. What should marketers look for in a data partner? Marketers should look for transparency, longevity, and evidence of compliance when looking for a data partner. The best partners can clearly explain how their data is sourced, validated, and maintained. Read Experian's guide on how you can swipe right on the perfect data partner here. Latest posts
What makes data “good” in the age of AI? In AI-driven marketing, data quality now defines success. “Good data” in AI isn’t about volume; it’s about the balance of accuracy, freshness, consent, and interoperability. As algorithms guide decisions, they must learn from data that’s both accurate and ethical. At Experian, we believe good data must meet four conditions: 1. Accurate Verified and anchored in real human identity. 2. Fresh Continuously updated to reflect today’s consumers. 3. Consented Collected and governed transparently. 4. Interoperable Easily integrated across platforms through a secure, signal-agnostic identity spine, enabling seamless data activation. This is the data AI can trust and the data that keeps marketing relevant, predictive, and privacy-first. Listen to InfoSum's Identity Architect's podcast for more on AI, outcomes, and curation Why does data accuracy matter more than ever? AI models are only as intelligent as their inputs. Incomplete or inconsistent data leads to bad predictions and wasted spend. As the industry moves toward agentic advertising, where autonomous systems handle campaign buying and optimization, data accuracy becomes even more critical. If your ad server or audience data is flawed, these new AI agents will simply automate bad decisions faster. Experian applies rigorous quality filters and conflict resolution rules to ensure our data is both deterministic and accurate. Deterministic signals alone don’t guarantee accuracy; they must be verified, deduplicated, and contextualized. Our identity resolution process anchors every attribute to real people, giving brands and platforms the confidence that every insight stems from truth, not noise. Our data is ranked #1 in accuracy by Truthset, giving our clients confidence that every decision they make is backed by the industry’s most reliable insights. See how Experian's Digital Graph improved attribution accuracy for a demand-side platform (DSP) with 84% of IDs resolved Just because it is deterministic, doesn’t mean it’s highly accurate. You still need to refine and validate your data to make sure it tells a consistent story. You need to anchor your data around real people. Calculate the real impact of data accuracy Why does AI need fresh data? Outdated data can’t predict tomorrow’s behavior. AI thrives on recency. At Experian, our audiences are refreshed continuously to mirror real-world signals, from purchase intent to media habits, so every campaign reflects what’s happening now, not six months ago. And we don’t just advocate for fresh data, we rely on it ourselves. Our own AI-powered models, used across our audience and identity platforms, are continuously retrained on the most current, consented signals. This allows us to see firsthand how freshness drives better accuracy, faster optimization cycles, and more relevant outcomes. But freshness alone isn’t enough. With predictive insights, our models go beyond describing the past. They forecast behaviors, fill gaps with inferred attributes, and recommend next-best audiences, helping you anticipate opportunity before it happens. Fresh and predictive data means you’re reaching people in the moment that matters and shaping what comes next. With AI, that’s what defines performance. Explore Experian's most popular audiences, ready to activate now How do consent and governance build trust in AI? Responsible AI starts with responsible data. With 20 U.S. states now enforcing privacy laws, data compliance isn’t optional, it’s operational. At Experian, privacy and compliance are built in. Every data signal, attribute, audience, and partner goes through our rigorous review process to meet federal, state, and local consumer privacy laws. With decades of experience in highly regulated industries, we’ve built processes that emphasize risk mitigation, transparency, and accountability. Governance isn’t just about regulation, it’s also about innovation done right. We drive transparent and responsible innovation through safe, modular experimentation, from generative applications to agentic workflows. By balancing bold ideas with ethical guardrails and staying ahead of evolving legislation, we ensure our innovations protect consumers, brands, and the broader ecosystem while moving the industry forward responsibly. Compliance and governance aren’t just boxes to check; they’re the foundation that gives AI its license to operate. How does interoperability enable AI’s full potential? AI delivers its best insights when data connects seamlessly across fragmented environments. Our signal-agnostic identity spine allows data to move securely between platforms (connected TV, retail media networks, and demand-side platforms) without losing context or compliance. Interoperability isn’t just about moving data between systems; it’s about connecting insights across them. When signals connect across environments, AI gains a more complete view of the customer journey revealing true behavior patterns, intent signals, and cross-channel impact that would otherwise remain hidden. This unified perspective allows AI to connect insights in real time, improving predictions, performance, and personalization while protecting privacy. Where do AI and human oversight meet? AI can make marketing more predictive, but people make it meaningful. At Experian, our technology brings identity, insight, and generative intelligence together so brands, agencies, and platforms can reach the right people with relevance, respect, and simplicity. Our AI-powered models surface connections, recommend audiences, and uncover insights that would take humans months to find. But our experts shape the process, crafting the right inputs, ensuring data quality, reviewing model outputs, and refining recommendations based on industry knowledge and client goals. It’s this partnership between advanced AI and experienced people that turns predictions into actionable, trustworthy solutions. What “good data” looks like in action “Good data” becomes most powerful when it’s put to work. At Experian, our marketing data and identity solutions help brands and their partners connect accurate, consented, and interoperable data across the ecosystem, turning insight into measurable outcomes. Learn more about Experian's data solutions Learn more about Experian's identity solutions When Windstar Cruises and their agency partner MMGY set out to connect digital media spend to real-world bookings, they turned to Experian’s marketing data and identity solutions to close the attribution loop. By deploying pixels across digital placements and using Experian’s identity graph to connect ad exposure data with reservation records, we created a closed-loop attribution system that revealed the full traveler journey, from impression to confirmed booking. The results were clear: 6,500+ bookings directly tied to digital campaigns, representing more than $20 million in revenue, with a 13:1 ROAS and $236 average cost per booking. Attributed audiences booked $500 higher on average, and MMGY’s Terminal audience segments powered by Experian data achieved a 28:1 ROAS. This collaboration shows that responsible, high-quality data and AI-driven insights don’t just tell a better story; they deliver measurable business performance. Download the full case study How to choose the partner built for responsible AI Why the future of AI depends on “good” data The next phase of AI-driven marketing won’t be defined by who has the most data, but by who has the best. Leaders will: Operate with clear data principles grounded in transparency and truth Build consent and compliance into every workflow Keep data accurate, current, and interoperable Pair automation with human oversight AI success starts with good data. And good data starts with Experian, where accuracy, privacy, and purpose come together to make marketing more human, not less. Partner with Experian for AI you can trust About the author Budi Tanzi, VP, Product, Experian Budi Tanzi is the Vice President of Product at Experian Marketing Services, overseeing all identity products. Prior to joining Experian, Budi worked at various stakeholders of the AdTech ecosystem, such as Tapad, Sizmek, and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible. FAQs What defines “good data” according to Experian? At Experian, we define "good data" as the balance of accuracy, consent, freshness, and interoperability. We apply rigorous governance, validation, and cleansing across every signal to ensure that AI systems learn from real-time behaviors, not assumptions. This approach turns data into a foundation for reliable, ethical, and high-performing intelligence. How does Experian ensure AI-ready data accuracy? Experian ensures AI-ready data accuracy through advanced cleansing, conflict resolution, and human anchoring. Experian ensures AI models rely on verified, high-quality inputs. Experian's data is ranked #1 in accuracy by Truthset. Can Experian help brands stay compliant with privacy laws? Yes, Experian can help brands stay compliant with privacy laws. Experian’s privacy-first governance framework integrates ongoing audits, legal oversight, and consent management to ensure compliance with all federal, state, and global privacy laws. Compliance isn’t an afterthought; it’s embedded in every step of our data lifecycle. How does Experian make AI more human? Experian makes AI more human by pairing innovation with human oversight to ensure AI helps marketers understand people, not just profiles. At Experian, we believe the future of marketing is intelligent, respectful, and human-centered. AI has long been part of how we help brands connect identity, behavior, and context to deliver personalization that balances privacy with performance. Our AI-powered solutions combine predictive insight, real-time intelligence, and responsible automation to make every interaction more relevant and ethical. Where can marketers access Experian’s high-quality data? Marketers can activate Experian's high-quality data directly in Experian’s Audience Engine, or on-the-shelf of our platform partners where Experian Audiences are ready to activate. Built on trusted identity data and enhanced with partner insights, it’s where accuracy meets accessibility, helping brands power campaigns with confidence across every channel. Latest posts