Marketing data and identity

Reach de-identified patient and provider segments at scale across every channel.  Pharmaceutical brands and media platforms, including connected TV (CTV), can activate HIPAA-compliant audiences built on real-world clinical and claims data through a new collaboration between PurpleLab and Experian. Targeting de-identified audiences is essential for engaging the right patients at pivotal moments in their health journey, maximizing ROI while safeguarding privacy and improving outcomes. Overall, prescription drugmakers spent $2.97 billion on national TV advertising in the first half of 2025, a 12.2% year-over-year increase, underscoring the growing demand for scalable, privacy-compliant healthcare advertising in premium media environments.  Now, whether you're a pharma advertiser launching a new therapy or a platform curating health-focused inventory, PurpleLab’s integration refreshes the media planning ecosystem, offering marketers easier access to the audiences needed to drive impact. Activate with accuracy and scale PurpleLab’s de-identified healthcare segments, categorized by condition, treatment, specialty, and prescription behavior, are now accessible through Experian's data marketplace, streamlining media planning. This integration enables PurpleLab’s privacy-safe audiences to travel from discovery to omnichannel delivery. Experian then handles onboarding, activation, and audience expansion, in accordance with HIPAA and with industry standards. Utilizing Experian’s identity graph, spanning household and individual-level insights, as well as marketing attributes, these healthcare audiences can be: Onboarded securely, matching hashed emails or tokens to digital identifiers Activated across major channels, including CTV, mobile, display, and social Expanded with confidence, reaching more of the target population, patients, or healthcare professionals, without relying on third-party cookies This infrastructure unlocks greater scale and completeness for niche pharma audiences that have historically been hard to reach in digital and streaming environments. For brands navigating fragmented media and tightening privacy regulations, this collaboration provides the clarity and consistency they’ve been seeking. “We know healthcare marketers are under pressure to get it right: to respect privacy, be accurate, and scale. That’s why we’re excited to bring PurpleLab audiences into the Experian data marketplace and make them available through Audigent’s curated deals. It gives pharmaceutical brands and platforms a clear way to plan and measure campaigns, with the assurance that they’re reaching patients and providers when it matters in the right way.”Kim Gilberti, General Manager Curation through Audigent: Premium supply meets premium data For advertisers seeking turnkey media solutions, PurpleLab audiences are now also available through Audigent’s curated deals. Audigent’s curated deals simplify media buying by packaging PurpleLab’s clinically grounded audiences with premium, brand-safe inventory, thus creating a unified package. Instead of stitching together data and supply separately, media buyers can now access pre-built or custom-curated media deals where PurpleLab audiences are already integrated, ideal for health and wellness programming, premium CTV, or contextual content aligned to therapeutic areas. This approach gives marketers both efficiency and accuracy, streamlining execution while maintaining compliance and relevance. “Bringing together PurpleLab’s clinically precise audiences with Experian’s powerful identity and activation capabilities, and pairing it with Audigent’s premium inventory, gives advertisers more than a turnkey solution. It’s the power to launch campaigns that truly resonate, with data and media working in harmony from day one to deliver both efficiency and impact."Scott Ronay, VP, Advertising Sales Real-world use cases: Accuracy with purpose CTV awareness for cardiovascular therapies A cardiovascular brand is launching a CTV campaign to reach healthcare providers involved in treatment decisions. Using PurpleLab’s provider-level segments from the Experian data marketplace, a brand can activate audiences across brand-safe, streaming environments. This strategy enables meaningful engagement with prescribers while maintaining scale and compliance across CTV and complementary digital channels. Cross-device activation for high-impact health campaigns A biotech firm promoting a new therapy needs to reach patients who are likely to have a relevant condition, based on modeled audience segments. Using PurpleLab’s real-world patient segments, the advertiser activates across mobile, display, and CTV, with Experian’s identity graph ensuring household-level consistency across devices. Privacy and scale are preserved, while the brand ensures it’s not wasting impressions on ineligible or misaligned audiences. Closed-loop measurement, built for healthcare Beyond targeting, the PurpleLab–Experian integration empowers advertisers to measure real-world outcomes, not just digital proxies. By utilizing tokenization, Experian enables ad exposure data to be securely matched back to de-identified health events within PurpleLab’s platform. This means marketers can assess outcomes such as: Prescription lift among exposed vs. unexposed audiences Healthcare professional engagement and treatment initiation Patient adherence or follow-through behavior This type of closed-loop reporting is critical in pharma, where traditional metrics like clicks or impressions do not reflect business impact. Now, with token-based match-back, brands can see whether their campaigns are driving real results, securely and compliantly. Ready to reach the right patients and providers securely and at scale? Explore PurpleLab audiences in the Experian data marketplace and Audigent curated deals to activate clinically grounded, privacy-compliant segments across CTV, display, mobile, and more. Contact us Latest posts

Programmatic media buying isn’t getting any easier. Buyers face rising signal loss, shrinking margins, and growing pressure to perform in a privacy-first world. Add in fragmented tech, shifting privacy regulations, and inconsistent identity signals, and reaching the right audience at scale has never been more complex (or costly). Meanwhile, advertisers demand more transparency, publishers want control, and consumers expect relevance without feeling watched. Open exchanges, legacy data management platforms (DMPs), and spray-and-pray strategies just aren’t cutting it. That’s why curation has become a trending topic in the AdTech space. In programmatic advertising, curation refers to the strategic integration of enriched data and quality inventory into a single package — often executed as a private marketplace (PMP) deal. This approach reshapes how campaigns are built, activated, and optimized by enabling performance-ready buys that reduce waste, increase relevance, and give marketers greater control over outcomes. It’s no wonder then that curation investments are accelerating, PMPs are gaining traction, and buyers are shifting budgets accordingly. Over 66% of the $150 billion+ open exchange programmatic market now flows through curated PMPs, with industry giants like Google publicly backing curation as a core strategy. So what exactly is programmatic curation, and why is it becoming essential for privacy-conscious, performance-driven marketers? Let’s break it down. What does programmatic curation mean in AdTech? Programmatic curation is the process of filtering, structuring, and packaging enriched data with high-quality programmatic inventory — enhanced by real-time optimization to create more targeted, efficient, and transparent media buys. Instead of buying at scale and hoping for the best, curation prioritizes accuracy and value over volume, resulting in more targeted, efficient, and transparent media buys. As privacy regulations reshape targeting, curation is becoming a key differentiator in an increasingly crowded AdTech space. It connects robust data with quality supply, helping marketers stay effective while giving publishers new ways to monetize with control. But not all curation is created equal. Programmatic curation requires three core elements: 1. Unique data Unique, privacy-compliant, and valuable. 2. Strong supply connections Access to quality inventory from publishers at scale. 3. Optimization tools To measure, refine, and improve performance during a campaign and improve performance throughout the campaign lifecycle. Without all of these elements, a so-called “curator” may simply be repackaging inventory without delivering the full value of a curated approach. Why does curation still matter with cookies sticking around? While third-party cookies and mobile IDs like IDFA haven’t gone away, the industry has already pivoted in anticipation of their decline.  Even without Google flipping the switch, signal loss is here thanks to Apple’s ATT, tighter compliance rules, and new tracking restrictions. Marketers are dealing with less data, more fragmentation, and fewer reliable IDs. So if you want to run an effective, scalable media campaign today, you need tools that go beyond third-party cookies. That’s why programmatic curation is gaining ground as a better, more sustainable way to buy media. Investments in programmatic curation are growing, and not just for identity resolution. Marketers are leaning in because it: Combines verified audience data with premium inventory Supports ID-free or context-aware targeting Enables scalable, identity-agnostic strategies Improves data quality through enrichment Creates more controlled, pre-approved media paths via PMPs Experts anticipate that, at some point, publishers will have to lean into this method. “Curation will be bigger than header bidding and as big as programmatic or RTB — that’s our bet.”Andrew Casale, CEO Whether cookies stay or go in the future, curation works for an ecosystem that demands smarter, cleaner, and adaptable media buying. What are the benefits of curation and who wins? Curation is one of the few innovations in AdTech delivering meaningful wins across the ecosystem. By bringing better data, cleaner supply, and more intentional targeting into programmatic advertising, it helps brands, agencies, and media buyers drive stronger performance, gives publishers more control, and creates a more respectful experience for consumers. And unlike traditional approaches, curation is built for what’s now and what’s next. Here’s how each group benefits and why it matters. Brands and agencies Curation helps brands and agencies run smarter, more efficient campaigns by connecting high-quality data with premium supply. It delivers: More efficient supply paths with less waste and better performance Lower costs than DMP segments and open exchange buys Cleaner, pre-vetted inventory that aligns with audience and brand goals Future-proofed buying via cookieless and log-level data integrations Stronger targeting and measurement driven by enriched data and actual usage signals instead of modeled assumptions Better outcomes through real-time supply and data optimization Publishers For publishers, curation makes inventory more addressable without giving up control. It enables: Smarter packaging that aligns with buyer needs and campaign goals Higher CPMs by curating inventory above open exchange floors More control over how audiences are accessed and how inventory is monetized Access to higher-value demand through curated, data-backed deals Better protection of proprietary audience in a privacy-conscious environment Consumers At the end of the chain, curation improves the ad experience for those who matter most: your audience. It supports: Higher-quality content alignment for more natural, less disruptive ad experiences tailored to their interests  Less invasive tracking, as targeting becomes more data-smart and privacy-aware, with reduced reliance on legacy identifiers and personally identifiable information (PII). Curation is setting a new standard for how data, inventory, and experience come together across the ad ecosystem. When media is smarter, cleaner, and more intentional, everyone wins. What’s Experian’s role in powering curation? With the acquisition of Audigent, Experian is now more than just a premier data provider. We’re also a full-service curation partner. Together, we deliver end-to-end programmatic curation across data, inventory, and optimization, helping brands and publishers unlock smarter, more scalable media strategies. What Experian + Audigent enable Whether you need speed-to-market with pre-curated deals or white-glove custom deals, Experian and Audigent make it easier to activate high-performing, privacy-compliant campaigns at scale with: End-to-end curation across data, inventory, and real-time optimization Pre-packaged and custom PMP deals with built-in performance signals Scalable, privacy-first media solutions aligned to brand objectives, verticals, and KPIs These aren’t just theoretical; curated marketplace deals are already delivering measurable gains. In OpenX, Audigent-curated campaigns increased bid competition by 20% and drove a 118% spike in impressions won over a two-month period. Key benefits for partners By bringing together our data depth and Audigent’s curation technology, we offer our partners a full suite of value-added capabilities, including: High-quality, verified data ranked #1 in accuracy by Truthset and powered by Experian’s identity graph and deep programmatic data insights Data enrichment layers that boost addressability, accuracy, and contextual relevance Privacy-compliant infrastructure built for secure, cookieless data use at scale Platform integration across leading demand-side platforms (DSPs) and supply-side platforms (SSPs) for seamless activation and optimization How Boiron achieved smarter reach with Audigent’s curated PMP strategy A leading homeopathic brand partnered with Audigent to scale customer acquisition for its flu relief product without increasing media investment. They wanted to reach new, privacy-compliant audiences while improving CPA across display and video.  Using Audigent’s curated SmartPMPs and CognitivePMPs, the campaign delivered measurable performance improvements: 80% lower CPA on display than historical benchmarks 40% lower CPA on video 30% reduction in data costs Significant media efficiency gains through real-time supply and data optimization Fully future-proof targeting with zero reliance on cookies or MAIDs See how Boiron’s success story is just one example of how curated deals backed by Experian identity and Audigent’s optimization technology can deliver efficiency and impact in a privacy-conscious environment. Our curation capabilities Together with Audigent, our curated solutions go beyond basic packaging. Every deal is designed for performance, privacy, and relevance, so you can activate smarter media with greater confidence: Deal ID-ready audiences for fast, turnkey activation Performance-specific curation, including viewability, CTR, and outcome-based targeting Custom audience + inventory packages tailored to campaign goals Vertical-specific curation for industries like auto, retail, CPG, and financial services Real-time optimization signals embedded into every curated deal Don’t wait: Curate today The future of programmatic advertising won’t be won by those waiting for perfect signals, clean cookies, or simplified tech stacks. It’ll be won by marketers and publishers who embrace smarter, cleaner ways to activate their data, inventory, and strategy now. With Experian and Audigent, you’re not just getting better data but also a partner that helps you activate it with accuracy, privacy, and performance at scale. Whether you’re trying to reduce media waste, gain supply path control, or future-proof your campaigns, curated deals can get you there faster. Let’s build a curation strategy that gives you control in a chaotic ecosystem. Latest posts

Brands want more from their media investments: better insights, more efficient reach, and clear proof of performance. Whether you’re starting with high-quality first-party data or need help reaching new audiences, Experian offers flexible solutions to drive reach among key audiences and to measure the impact. We’ve built two primary activation and measurement solutions tailored to how brands operate, so you can spend less time managing data and more time driving outcomes. Use case 1: First-party insights to activation and measurement Best for: Brands with first-party data looking to deepen their understanding of existing customers, activate intelligently, and measure what matters – all through a single trusted partner. Solution: Audience Engine + Outcomes Audience Engine Audience Engine is our self-service platform designed to help you onboard first-party data, gain key insights into your customers, build custom audiences using our powerful data assets, and activate them across 200+ platforms — all within a single workflow. Outcomes Experian Outcomes closes the loop by measuring real-world results of your campaigns (such as visits, purchases, and website actions) and tying them back to specific media exposures across digital and TV channels. Together, these tools offer a full-funnel audience and measurement solution, from planning and activation to proving performance. Let’s bring this to life A leading athletic retailer partnered with Experian and Yieldmo to drive in-store foot traffic, targeting shoppers likely to buy from their competitors during key sales windows. Using Experian’s Audience Engine, which includes our proprietary and third-party data marketplace, Yieldmo built a high-performing, self-serve targeting strategy for the retailer. By combining Experian Audiences with Partner Audiences from Alliant, Circana, Webbula, and Sports Innovation Lab, Yieldmo was able to build apparel and footwear audiences from the data marketplace including: In-store shopper segments Athleisure purchasers Competitive purchasers Audience Engine also enabled Yieldmo to tap into Experian’s identity graph, expanding cross-channel reach and maximizing campaign scale and precision. And while not used for this campaign, our Outcomes solution allows advertisers to tie media spend to in-store activity, so retailers can measure true business impact. Benefits Understand your customers more deeply To reveal behavioral, demographic, and lifestyle trends. Reach your first-party audiences at scale Across top activation platforms, using Audience Engine’s onboarding capabilities. Increase your brand awareness By reaching prospective audiences, using Experian Audiences, Partner Audiences, and lookalike audiences. Measure campaign effectiveness With Outcomes, which correlates media exposures (digital and/or TV) with offline and online conversions, visits, or sales. Optimize future media buys By using attribution insights to refine targeting, creative, and channel mix based on what’s actually driving results. Use case 2: Activation and measurement Best for: Brands that already know who they want to reach and are looking to activate high-quality, data-driven audiences across their preferred media platforms and want to clearly understand what’s driving performance. Solution: Audiences + Partner Audiences + Outcomes Audiences Experian Audiences are pre-built audience segments grouped by shared attributes from Experian Marketing Data built for activation on-the-shelf of top programmatic, TV, and social destinations like FreeWheel, Magnite, and Madhive, in addition to Audience Engine. Partner Audiences Experian's Partner Audiences are high-quality audience segments sourced directly from 30+ leading third-party data providers like Affinity, Circana, and Dun & Bradstreet. These segments are curated across verticals like Business, CPG, Health, Retail, and Travel, and are available through on top media destinations, in addition to our data marketplace for easy selection and deployment. Outcomes Experian Outcomes helps close the loop by tying real-world results back to media exposures across digital and TV channels. Together, these products empower marketers to activate smarter and prove success with confidence. Let's bring this to life A leading fashion brand set out to grow their customer base by reaching high-intent shoppers where they spend their time: online. Their goal: drive e-commerce conversions through a programmatic campaign powered by The Trade Desk. To do it, they needed more than just reach, they needed accuracy. That’s where Experian came in. On The Trade Desk, the brand quickly discovered Experian’s prebuilt audience segments, readily available and easy to activate. They selected: Age Range: 25–44 Women’s Fashion Frequent Spenders: Households identified as frequent purchasers of women’s apparel, cosmetics, jewelry, and accessories—based on verified, consumer-reported transactions from the past 24 months. These segments gave the brand confidence that it was putting its message in front of the right consumers, those most likely to engage and buy. To understand whether their campaign was driving results beyond impressions, the brand implemented a site pixel to capture both top-of-funnel visitation and bottom-of-funnel conversions. Using Experian’s Outcomes solution, they were able to close the loop—tying ad exposure directly to e-commerce sales. The Outcomes report showed clear campaign lift, highlighting which channels and audience segments performed best. Armed with these insights, the brand refined their targeting and messaging for future media buys—boosting ROI with each iteration. Benefits Reach your ideal audience at scale By activating Experian Audiences and Partner Audiences off the shelf at digital and TV platforms. Access privacy-conscious, diverse data Curated by 30+trusted data providers in verticals like Business, CPG, Health, Retail, and Travel without needing to manage multiple data contracts. Understand what’s working Through Outcomes reporting, which connects media exposure to offline and online outcomes like conversions, purchases, or visits. Continuously improve performance By using attribution insights to inform audience selection, creative strategy, and media channel mix for future campaigns. Bring this to your brand Experian’s activation and measurement solutions for brands gives you the tools to act with clarity: from onboarding your first-party data to reaching new customers and tying media back to real results. Whether you’re starting with deep customer insights or building campaigns from scratch, here’s how our solution helps: Audience Engine Onboard your first-party data, gain insights into audience composition, build custom audiences using Experian and Partner Audiences, and activate them across 200+ leading platforms — all through a centralized, self-service platform. Audiences and Partner Audiences Reach high-intent prospects using Experian’s syndicated audiences or custom-built segments from partners like Circana, Dun & Bradstreet, and more. Outcomes Understand what worked. See how media exposure correlates with actions like store visits, quote requests, site activity, or purchases. Every element is built to help you scale campaigns, improve addressability, and tie media spend to results that matter—without the overhead of multiple vendors or disjointed systems. Ready to see it in action? Get in touch with our team. Latest posts

Marketing without segmentation is a lot like shouting into a crowded room and hoping the right person hears you. Without a clear way to communicate in a noisy marketing environment, your message gets lost in the mix. With segmentation, you can identify your target audience, speak to their needs, and deliver the right message at the right moment. Companies that use segmentation are 130% more likely to understand customer motivations, resulting in more effective campaigns and deeper audience relationships. In this article, we’ll break down four of the most effective customer segmentation methods, when to use each, and how Experian’s audience solutions can help. What is segmentation in marketing? Segmentation is the process of splitting a large audience into smaller groups that share similar traits, like demographics, location, behavior, or firmographic characteristics. As a marketer, these segments enable you to choose channels, messaging, and offers that resonate with each group. Whether you’re targeting new homeowners in Texas, loyalty shoppers in retail, or small business decision-makers in finance, segmentation helps you stand out to them and get results. Why should marketers segment their audiences? Effective audience segmentation fuels accuracy, performance, and personalization at scale. Here's why you should invest your time and marketing budget in honing your audience segments. Maximize your marketing ROI Nobody wants to waste money talking to the wrong crowd. Using various methods of segmentation, you can focus on those who want to hear from you — and the payoff can be huge. For marketing channels like email, segmentation can drive up to 760% more revenue than non-segmented campaigns. The more targeted your message, the better the return. Create a unified omnichannel strategy Segmentation helps ensure that every channel, from email and social media to display, SMS, and direct mail, operates from the same playbook. Once you define your target audience segments, you also need a trusted identity partner to sync them across platforms and environments. This ensures you can deliver consistent, personalized experiences at every touchpoint and your audience receives the same message in the proper context, regardless of where they engage. Strengthen customer loyalty Roughly 75% of consumers are loyal to brands that “get” them. When you strive to understand your customers, they’re more likely to stay. Segmentation enables you to personalize communications based on your target segment’s values, behaviors, or preferences, encouraging repeat business. Expand into new markets With segmentation, you can analyze existing customers to identify common traits and use that data to pinpoint similar groups in new regions or markets. For example, if your top customers are middle-class parents in suburban areas, you can target lookalike segments in other cities with tailored messaging. This makes it easier to expand with confidence, knowing you're reaching people who are more likely to convert. Lower customer acquisition costs Rather than forcing you to cast a wide net, segmentation enables you to focus your budget on high-potential audiences across channels, reduce acquisition costs, and minimize wasted spend on low-intent audiences. Four segmentation methods and examples Let’s look at four different methods of market segmentation. We’ll define each, share when to use them, and give real-world examples to help you apply them. 1. Demographic segmentation Demographic segmentation breaks your audience into groups based on gender, income, age, education, marital status, occupation, and household size. It’s one of the most foundational segmentation methods because it’s easy to implement and often tied directly to buying behavior. Demographic data makes it easier to get the tone, offer, and channel right from the start. And when you combine demographic segmentation with other segmentation methods, such as behavior or location, the impact multiplies. When to use it Use demographic segmentation when your product or service is clearly more relevant to people in a specific life stage, income bracket, or household type. Among all methods of market segmentation, demographic data is often the easiest starting point. It’s especially effective for industries such as financial services, healthcare, education, retail, and others, where consumer needs change based on demographics. Examples As a real-world example, a health supplement company used Experian data to segment its ambassador program audience into four demographic groups based on lifestyle and household makeup. These included younger singles, value-seeking families, high-income spenders, and older empty nesters. Applying these insights at registration allowed the brand to deliver personalized, channel-specific communications that boosted acquisition and retention. The approach led to stronger engagement and more meaningful customer connections. 2. Geographic segmentation This method of market segmentation categorizes people by location, including country, region, state, city, zip code, or even climate. It’s a simple yet effective way to tailor your marketing, as location often influences everything from lifestyle and language to shopping habits and product needs. It’s most often used among brands with physical locations or region-specific campaigns. Whether you're promoting snow boots in Colorado or sunscreen in California, geographic segmentation helps you stay relevant to the local context. When to use it Geographic segmentation is ideal when your offer or message changes depending on climate, culture, availability, or local regulations. It’s also helpful for planning market expansion or testing the performance of different methods of market segmentation across regions. Examples One home furnishings retailer partnered with Experian to understand how customer needs varied across store locations. Using a mix of client data and Experian demographics, we segmented stores based on their surrounding customer base, like urban, white-collar shoppers in metro centers versus lower-income households in more remote cities. These insights enabled the retailer to tailor inventory, marketing strategies, and ad copy for each store type, resulting in more relevant customer experiences. 3. Behavioral segmentation Behavioral segmentation centers on how people live their lives — their interests, habits, and decision-making patterns. It includes factors like past purchases, engagement frequency, brand loyalty, product usage, browsing patterns, and responsiveness to offers or promotions. Among all of the segmentation methods, this one provides insight into intent, helping you go beyond who your audience is to understand what they do. You can use behavioral insights to re-engage former customers with relevant offers, reward loyal buyers with personalized perks, or guide high-intent shoppers toward conversion with timely nudges. When to use it Behavioral segmentation is best when you want to personalize based on intent, habits, or engagement stage. It's particularly useful for retention, reactivation, or cross-selling strategies. Examples In practice, a national big-box retailer partnered with Experian to better understand customer behavior during grocery store visits. The goal was to identify distinct “trip missions” that could drive category trial and increase basket size. We analyzed everything from basket contents to customer composition and segmented visits into 11 unique missions. For example, the “All Aisles Online” segment represented large households (often homeowners with families) stocking up on household staples through online orders. In contrast, the “Marketable Mission” segment captured smaller, likely renter households making quick trips for non-essentials. These behavioral insights empowered the retailer to adjust promotions based on the intent behind each visit, strengthen customer relationships, and drive growth. 4. Firmographic segmentation (B2B) Firmographic segmentation is like demographic segmentation for businesses. It groups B2B audiences based on attributes such as annual revenue, location, company size, industry, and organizational structure. You can also segment by job title or decision-maker role to better target key stakeholders. This method is great for aligning your messaging, sales strategy, or product offerings with the unique needs of various business types. A startup in the tech sector will likely respond to a very different pitch than an enterprise manufacturer, and firmographic data helps you speak to both with precision. When to use it Use firmographic segmentation when marketing to other businesses, especially when your product or service has different benefits depending on business size or sector. Examples Recently, a B2B client partnered with Experian to gain a deeper understanding of the revenue potential of their existing business customers. Using firmographic data, we segmented the client’s customers into distinct groups based on the characteristics most strongly tied to spending behavior. For each segment, we calculated potential spend, defined as the 80th percentile of annual spend within that segment. This allowed the client to identify high-value accounts with untapped growth potential. For example, one customer, ABC Construction, had spent $4,750. But based on their segment’s profile, their annual potential was $9,000. That insight revealed a $4,250 opportunity to deepen the relationship through more targeted marketing and sales efforts. Best practices for market segmentation Regardless of the segmentation method you use, the following best practices will help you maximize the benefits of your efforts. Start with clean, reliable data Segments are only as good as the data behind them. If your data is outdated, inaccurate, or incomplete, your segments will result in ineffective targeting and a wasted budget. Utilize accurate, compliant, up-to-date sources like Experian Marketing Data, ranked #1 in accuracy by Truthset, to ensure your targeting is on point. Test and refine segments continuously Business goals, market conditions, and behaviors are constantly changing. What worked last month or even last week might not work today. By adjusting your segments over time, you make sure your marketing stays relevant, focused, and effective. Use A/B testing, performance metrics, and audience analytics to iterate on your segments and improve results over time. Align segments with personalized messaging and offers Each segment has distinct needs, preferences, and motivations, which means generic messaging won’t resonate effectively. Once you’ve built your segments, personalize your creative, copy, and offers to appeal to each group and increase the likelihood of engagement and conversions. Integrate segmentation across all platforms If someone sees one message in an email and a completely different one in an ad or on your website, it creates confusion and weakens trust. From CRMs and email platforms to ad tech and analytics tools, make sure your segmentation method is applied consistently across every channel to improve performance and build a cohesive brand experience. Segment your audiences with Experian Effective audience segmentation is at the heart of every successful marketing strategy, but in this fragmented, privacy-conscious landscape, grouping your audience into meaningful, actionable subgroups is more challenging than ever. That’s where we come in. With coverage of the entire U.S. population, Experian helps marketers define and categorize broad audiences into precise segments using rich data on demographics, behaviors, financial profiles, and lifestyle traits. These insights make it easier to personalize messaging, optimize media spend, and drive better outcomes. From ready-to-use syndicated audiences to custom segments and even Contextually-Indexed Audiences that align targeting with content, Experian offers flexible segmentation solutions that perform across digital, TV, programmatic, and social channels. In our most recent release, we introduced over 750 new and updated audience segments across key categories, including a brand-new category for Experian, giving marketers more accurate, behavior-based targeting options than ever before. 135+ new CPG audiences, a brand-new category for Experian, built from opt-in loyalty card and receipt scan data 240+ new automotive audiences covering ownership and in-market shoppers 100+ new high-spending behavior audiences focused on specific merchant categories 24 new wealth and income segments with refined household net worth tiers 13 new lifestyle-based housing audiences for family- and household-focused targeting 250+ refreshed financial segments with improved naming conventions for better discoverability and clarity Together, these segments give marketers more accuracy  to reach high-intent consumers based on real-world behaviors, spending patterns, and financial capacity. Audience solutions powered by consumer insights Experian Marketing Data, one of the most comprehensive and accurate consumer databases in the U.S., is the core of our segmentation capabilities. Backed by over 5,000 demographic and behavioral attributes, it helps you understand not just who your customers are but how they live, shop, spend, and engage, too. Each audience segment is built with privacy and precision in mind, using a blend of demographic data, financial behaviors, lifestyle signals, and media habits. With these consumer insights, we’ll help you uncover meaningful patterns that lead to smarter strategy. Experian’s pre-built audiences Our syndicated audiences are pre-built, ready-to-activate segments based on shared characteristics from age and income to purchase behavior and lifestyle indicators. When speed and scale are a priority, these segments offer a fast, effective way to reach your target audience. Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, and programmatic advertising platforms, as well as within Audigent for activation within private marketplaces (PMPs). Here’s what’s new from our August 2025 release: CPG shoppers by category (e.g., Frozen Food Shoppers, Multi-Vitamin Shoppers) Luxury EV owners and auto brand shoppers (e.g., Rivian, Polestar, Cadillac) High spenders in specific categories (e.g., men's grooming and women's accessories) Ultra high-net-worth households (e.g., Net Worth $50M+) and likely home sellers Young Family Homeowners and Growing Family Apartment Renters Custom audiences for specialized targeting Need a custom audience? Reach out to our audience team, and we can help you build and activate an Experian audience on your preferred platform. Additionally, work with Experian’s network of data providers to build audiences and send to an Audigent PMP for activation. Contextually-Indexed Audiences Experian’s Contextually-Indexed Audiences offer a privacy-safe way to reach relevant consumers in the moments that matter without relying on identity signals or third-party cookies. These segments combine Experian’s consumer insights with page-level content signals, enabling you to align targeting with intent and mindset, even in cookieless or ID-constrained environments. Want to take your segmentation strategy to the next level? Let’s talk. We’ll help you define your audience in ways that drive real results. Talk to our team about your segmentation methods today Latest posts

Healthcare and Life Sciences teams map the patient journey to spot care gaps and guide interventions. However, clinical records cover only what happens inside clinics, not the forces driving patient decisions. Enriching these records with lifestyle, socioeconomic, and consumer-behavior insights reveals the “why” behind health outcomes. That’s where non-clinical insights step in – revealing the real-world forces that shape patient results. To address these blind spots, Experian and Komodo Health have teamed to integrate de-identified insights from millions of patient journeys with Experian’s socioeconomic and lifestyle data. This enriched view lets enterprises see each journey in full, identify care disparities, and craft smarter strategies – while rigorously protecting privacy. Driving tangible outcomes and better patient care This collaboration focuses on turning insights into action. With Experian and Komodo's integrated clinical, socioeconomic, and lifestyle data, Healthcare and Life Sciences teams can move from insight to accuracy, building adherence programs, finding hard-to-reach patients, and demonstrating treatment success. They can: Layer Komodo’s de-identified patient-level medical and pharmacy insights and analytics with Experian lifestyle and socioeconomic attributes Segment patient populations by condition, treatment history, and socioeconomic status Prioritize outreach – reducing waste and focusing resources where care is needed most For instance: Neighborhood-level gaps Identify opportunities to capture untreated patients and improve clinical trial inclusion. Income-related support Flag populations most likely to benefit from cost-saving programs, ensuring communications highlight co-pay assistance or financial relief options. Inside the data stack At the core of Komodo Health's AI-enabled healthcare analytics platform is its Healthcare Map®. This innovative tool integrates de-identified patient-level medical and pharmacy claims data from the patient journeys of over 330 million unique individuals – providing insights on diagnoses, treatments, outcomes, and care patterns across the United States. Experian enhances this data by adding socioeconomic and lifestyle characteristics that influence up to 80% of health outcomes. Together, this combined data effectively addresses essential questions such as: Which neighborhoods face the highest diabetes risk? Where is therapy abandonment spiking? When should co-pay assistance messages drop? How can we accelerate HCP outreach or clinical-trial recruitment? Experian's socioeconomic and lifestyle insights: Fueling data-driven care decisions In this context, Experian provides valuable insights into socioeconomic factors and lifestyle patterns, covering everything from household composition and income ranges to psychographics and other attributes that help build a broader understanding of an individual's circumstances. Where deep patient understanding, health engagement, and real-world evidence converge As healthcare marketing, patient engagement, and real-world data converge, the Experian and Komodo collaboration is empowering Healthcare and Life Sciences teams with fast, actionable insights. Fusing de-identified patient-level clinical data with socioeconomic and lifestyle attributes helps teams engage the right patients, and fuels research from product launches to community programs. It elevates experiences while proving impact with real-world evidence. Ready to utilize these insights? Latest posts

Originally appeared in The Current Forget the cookie delay — AI is already rewriting the rules of advertising. While the industry was busy debating yet another postponement of Chrome’s third-party cookie phaseout, AI quietly became the most disruptive force in marketing. But here’s the twist: AI doesn’t work without identity. If marketers want results — real outcomes, not just impressions — they need to prioritize the data that makes AI go. First-party data strategies are now mainstream. Interoperable identity solutions like Unified I.D. 2.0 (UID2) and ID5 are gaining adoption across the open web. Connected TV (CTV) has grown into a performance-focused, cookieless channel. Contextual and geo-based targeting have become smarter and more scalable. Identity graphs are helping marketers stitch together signals across devices, platforms, and channels. The foundation for a better ecosystem isn’t being built — it’s already here. The AI hype is over — and the stakes are higher It’s no longer buzz. AI is here, and it’s already reshaping how we plan, activate, and measure advertising. We’re seeing the rise of agentic AI: systems that don’t just surface insights but act on them. These AI agents are identifying patterns, building audiences, optimizing media buys, and analyzing performance. AI is helping marketers stop guessing and start improving. But there’s a catch — one we can’t afford to overlook. AI is only as good as the data it works with. “Garbage in, garbage out.” as the saying goes. And in advertising, that means if you don’t know who you’re reaching, even the smartest AI won’t drive results. To unlock AI’s full potential, marketers need a strong, privacy-safe identity foundation. Identity is the fuel that makes AI work AI can personalize creative, optimize in-flight campaigns, and even recommend which channels to prioritize — but it can’t do any of that well without context. And context starts with identity. Identity connects signals from different devices, logins, channels, and interactions to real people. It tells your AI models who you’re talking to — not just what they clicked. That kind of clarity gives AI the power to make smarter predictions, uncover insights, and deliver relevance at scale. Without identity, AI is guessing. With identity, it’s delivering. Identity is the foundation of the outcomes era We’re living in a performance-driven age. Impressions and clicks are no longer enough. Marketers today are being judged by real outcomes: incremental sales, customer acquisition, revenue lift, and long-term value. To measure those outcomes, you need to know who you reached — and whether they took action. Identity makes that connection possible. It links ad exposure to real-world results. It enables accurate attribution across channels. It powers personalization at every stage of the journey, making every impression more valuable. This is the outcomes era, and identity is what makes it measurable. Commerce media and CTV show what’s possible Two of the fastest-growing channels — commerce media and CTV — are great examples of identity in action. Commerce media In commerce media, identity helps retailers and marketplaces organize their customer data, enrich it with external insights, and activate it across their own sites and off-site channels. It makes accurate targeting possible and gives marketers a clear ROI they can prove. CTV In CTV, identity helps solve a fundamental challenge: turning anonymous viewers into addressable audiences. On free ad-supported streaming platforms (FAST), identity solutions resolve viewership to the household level. On logged-in platforms, identity enriches profiles with behavioral and purchase data, boosting demand, improving CPMs, and growing revenue. At Experian, we’ve invested in this future. Our recent acquisition of Audigent brings together data, identity, and activation — under one roof — built to support both AI-driven planning and outcome-based performance. How marketers can win now To stay ahead in a world defined by AI and outcomes, marketers need to: Invest in omnichannel identity To unify signals across platforms and environments. Make identity actionable in real time To inform both targeting and measurement. Utilize first-party data, clean rooms, and privacy-safe partnerships To future-proof performance. Tailor identity strategies To fit their media mix — because what works in CTV may not apply to in-app or web. It’s not about rebuilding everything. It’s about building on what’s already working. Final thought: Identity is the bridge AI is raising the bar, and outcomes are the new standard. But neither works without identity. The marketers who win won’t treat identity as a compliance checkbox — they’ll treat it as their competitive edge. Get started with us today Latest posts

Contextual targeting is having a comeback, and it’s smarter, sharper, and more strategic than ever before. By 2030, annual contextual advertising spend is anticipated to reach $562 billion! As marketers move away from cookie-based targeting and adjust to a privacy-first digital world, contextual advertising is becoming one of the most effective ways to reach engaged audiences. Unlike the basic contextual keyword targeting of the past, today’s contextual strategies are built on data, machine learning, and deep audience insights. Experian, with Audigent, plays a key role in powering this evolution, enabling marketers to execute contextual campaigns with the precision, performance, and compliance needed for today’s environment. Let’s talk about how advertisers are reaching audiences in a changing advertising era with smarter contextual targeting. What is contextual targeting? Contextual targeting, by definition, is a cost-effective, privacy-safe way to engage audiences based on what they’re reading or watching in the moment without relying on personal identifiers. It places ads on webpages that contain content relevant to your product or service. Contextual targeting vs. behavioral targeting The concepts of contextual and behavioral targeting are commonly confused. Both aim to deliver relevant ads, but their methods differ significantly.  Let’s break it down. Behavioral: Based on online behaviors Behavioral targeting builds user profiles based on factors like browsing history, clicks, and purchases, tracking users across platforms using cookies and device IDs. For example, if someone researches new SUVs on multiple sites, they might see car-related ads long after they’ve stopped actively looking. While 68% of consumers say they’re concerned about how their data is used in advertising, marketers have the opportunity to build trust through better targeting with Experian. We help brands meet rising consumer expectations with responsible, privacy-forward behavioral data and targeting options that enable you to reach audiences effectively while aligning with your privacy and control needs. Contextual: Based on content and environment Behavioral targeting will continue to play a valuable role in personalized marketing strategies, but contextual targeting is a compelling alternative or complement for strong performance in a privacy-safe, scalable, cost-conscious way. Contextual targeting focuses on the ad environment. It analyzes the page's content, such as keywords, tone, and structure, and serves ads that align with that context without personal identifiers or user tracking.  With Experian Marketing Data, you can enhance contextual targeting further by layering in data about who’s likely to be on the page. That combination of content signals and audience intent creates smarter, more privacy-compliant campaigns that perform better. Innovations in contextual targeting In its early form, contextual targeting depended on simple keyword matches. While functional, it lacked nuance and often resulted in broad or irrelevant placements.  Today, the approach is far more intelligent. Thanks to AI, machine learning, and natural language processing (NLP), platforms can now assess the full context of a webpage, analyzing tone, sentiment, structure, and content depth to determine the best ad match. Contextually-Indexed Audiences Experian’s Contextually-Indexed Audiences take contextual targeting one step further by analyzing traffic from websites and mobile applications to identify the types of frequent visitors to those pages with the power of rich consumer insights. Instead of simply showing up on relevant pages, brands can reach pre-qualified audiences mapped to those environments, combining intent, content, and data-driven strategy in a single solution. This is where contextual targeting is headed and why it's no longer just an alternative to behavioral but a strategic advantage in its own right. A privacy-first future Even as third-party cookies remain in use, their long-term reliability is uncertain, and the industry continues moving toward solutions that don’t depend on personal identifiers. Laws like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) have led advertisers to rethink how they engage audiences, shifting focus from individual tracking to content and context. With modern tools, advertisers can use contextual targeting programmatic strategies to reach audiences in privacy-compliant ways that still deliver high performance. Programmatic platforms like demand-side platforms (DSPs) now offer pre-built contextual segments by industry, interest, seasonality, and more.  In a few clicks, marketers can launch campaigns that align with content environments where consumers are already engaged without behavioral tracking. For brands looking to future-proof their media strategies, contextual is one of the few options that checks every box. Why more marketers are using contextual targeting Contextual targeting can help you grow your audience, drive web traffic, boost visibility, and increase conversions as data privacy regulations grow stricter worldwide.  Here’s a deeper dive into the benefits of this targeting strategy. Connect with ready-to-engage audiences One of contextual targeting's greatest advantages is the ability to meet consumers exactly where and when they’re most receptive. It places your ads on pages where they naturally add value to the user experience. When someone is actively reading or watching content about a specific topic, they’re already in the right mindset, which makes your ad feel more like a helpful recommendation than an interruption.  For example, if someone is reading a blog post comparing hiking backpacks, they’re far more likely to engage with an ad for outdoor apparel or trail shoes than one for an unrelated product like kitchenware. Drive sales and revenue while lowering costs Another draw of contextual targeting is its affordability for brands with limited budgets. It doesn’t require third-party data, identity graphs, or tracking infrastructure, so it’s easier on your media budget. By aligning ads with page context, brands can also see real business results, such as: Lower cost per thousand impressions (CPM): Since contextual ads are served based on the content of the page rather than user profiles, they often have a lower price tag — especially in verticals where access to behavioral segments may be more competitive. Reduced cost-per-acquisition (CPA): More relevant impressions mean fewer wasted clicks and better ROI. Lower cost-per-click (CPC): On networks like Google Display, CPCs for contextually targeted ads can be as low as $0.45, especially in e-commerce and consumer goods sectors. Higher conversion rates: Ads placed in relevant environments outperform generic placements, which increases the likelihood of action and conversion. Higher lifetime customer value (LTV): Users who arrive at your site from contextually aligned ads are more likely to convert and become repeat customers, driving long-term revenue. Quick and easy setup, built to perform Contextual campaigns can also be launched quickly, often within a day, and produce immediate results.  One powerful option is Experian’s Contextually-Indexed Audiences, which combines real-time analysis from over two million websites with access to more than 1,400 trusted audience segments. Available through top demand-side platforms’ contextual marketplaces and Audigent private marketplaces (PMPs), this solution offers a scalable way to reach high-intent consumers without cookies or IDs.  Getting started is simple. With a few inputs like relevant topics, keywords, or content categories, you can activate ads in environments where your audience is already engaged. And the best part? The ease and speed to launch doesn’t mean you’re sacrificing results. Because your ads show up alongside content your audience is already interested in, they feel timely and relevant, which leads to more clicks, stronger engagement, and better overall performance. Personalized experience based on known interest Consumers crave personalization. In fact, Deloitte conducted a 2024 study that found 80% of consumers want personalized brand experiences and spend 50% more with the ones that do. Contextual targeting meets that expectation by delivering relevance in the moment without tracking users’ online behavior.Experian’s Contextually-Indexed Audiences use contextual cues across the web to find common sets of audiences and identify where high-intent audience segments tend to show up. This helps advertisers deliver relevant, privacy-safe messaging to consumers who are more likely to engage, thereby building trust, capturing attention, and increasing performance while respecting user privacy. Brand safety Contextual targeting even helps brands avoid reputational pitfalls. With the help of AI and NLP, today’s contextual tools can assess what a page says and how it says it. That means you’re not just protecting user privacy but also your brand by ensuring your ads appear in relevant, trustworthy environments that reflect your values. Contextual targeting examples Contextual targeting works across nearly every industry, helping brands connect with audiences based on the content they’re consuming in the moment.  Here are a few examples of this in action across verticals. Contextual targeting for automotive buyers Most car buyers don’t just walk onto the lot. They arrive informed, having begun their journey online, researching makes, models, financing options, trade-in values, and credit requirements. It’s during this discovery phase that contextual targeting shines. Advertisers in the automotive space can serve ads alongside car reviews, dealership comparisons, or articles about electric vehicle tax credits, connecting with shoppers actively gathering information and signaling strong purchase intent. When your ad appears in the middle of that research journey, it feels like the next logical step. Contextual targeting also helps local dealerships and national brands stay top of mind during key decision-making moments without relying on third-party cookies. Contextual targeting for first-time parents New parents are one of the most information-hungry audiences online. From sleep training and stroller reviews to feeding schedules and baby-proofing tips, they consume a massive amount of content across various topics. That content provides a rich canvas for contextual targeting. Brands selling baby gear, wellness products, insurance plans, or parenting services can place ads on relevant articles and forums, connecting with parents when they’re researching their options and making purchase decisions. Contextual targeting for political campaigns Contextual targeting helps political advertisers connect with voters in relevant, mission-aligned environments. In a time when misinformation and divisiveness can influence public perception, maintaining this control is more critical than ever. With contextual targeting, campaigns can place their ads alongside trustworthy, high-quality content that addresses issues relevant to their supporters, whether it’s local policy, national news, or editorial commentary aligned with their platform. Advertisers can also avoid content that may contradict their message or brand values. The future of contextual targeting While Google no longer plans to fully deprecate third-party cookies, the industry has already moved forward. Most marketers have invested in cookieless solutions, and that momentum isn’t slowing down.  As contextual targeting becomes even more essential to future-proofing media strategies, its effectiveness depends on the quality and responsibility of the data behind it. That’s where Experian leads the way. Experian Marketing Data as the foundation At the core of Experian’s contextual targeting capabilities is Experian Marketing Data: a rich, privacy-compliant data set built from verified offline sources. This foundational data powers everything we do and fuels the full suite of Experian’s audience and targeting solutions. Marketing Attributes and Audiences One of the key products built from this data is Marketing Attributes, which transforms raw information into detailed, privacy-safe variables like lifestyle preferences, financial behaviors, and media habits. These attributes form the building blocks of Experian Audience solutions, allowing you to create highly specific segments tailored to your goals. When applied to contextual targeting, these segments help you align your messaging with the types of content your ideal audiences are consuming in real time. We’ll help you activate contextually relevant campaigns using real audience insight to place the right message in the proper environment at the ideal moment. Contextually-Indexed Audiences Powered by Experian Marketing Data, Contextually-Indexed Audiences brings a new level of precision to contextual targeting. By analyzing traffic from over two million websites and apps, we offer access to 1,400 audience segments (like luxury shoppers or frequent travelers) that are most likely to visit specific content. This lets you place your message in environments where your target customers already are, combining contextual relevance with data-driven intent. It’s a smarter, privacy-safe way to reach the right people without relying on cookies or user tracking. You can activate these audiences instantly through the top demand-side platform’s contextual marketplace or partner with Audigent to create a custom PMP. A PMP offers more control and flexibility and allows you to enhance campaign performance with additional performance optimization capabilities and activation across any media-buying platforms. Experian collaboration with Audigent and Peer39 Experian and Audigent partner to deliver SmartPMPs, or private marketplace deals that give advertisers access to premium inventory and privacy-first data activation in one streamlined solution. What makes this partnership unique is Audigent’s supply-side integration. Instead of only running audience segments through the DSP, SmartPMPs pair Experian’s high-performing audiences with curated inventory from thousands of publishers, all accessible through a single deal ID. This supply-side approach unlocks: Better reach across CTV, display, video, and more Stronger performance through real-time supply optimizations Personalized campaigns that don’t rely on cookies or user-level identifiers We’ve also partnered with Peer39 and Audigent to expand contextual targeting capabilities further. These partnerships make it possible to match Experian syndicated audience segments, including geo-indexed and behavioral data, to contextual signals in real time.  Advertisers can now run fully cookieless campaigns with exceptional scale and performance by indexing Experian Marketing Data through our identity graph and activating through platforms like Audigent’s Hadron ID or Peer39’s integrations.  In one beta test with Audigent, a major national advertiser used this solution to run a 15-day campaign that exceeded CTR benchmarks by 25% with no cookies or IDs. Talk to an Experian team member today The future of digital advertising is about trust as much as performance. Turn to Experian for help reaching your audience in the right environments using ethically sourced, privacy-first data. We help brands run scalable, contextually aligned campaigns built for today’s privacy landscape and tomorrow’s performance goals. With tools like Marketing Attributes, Contextually-Indexed Audiences, and Audigent PMPs, we make it possible to connect meaningfully without crossing privacy boundaries. Let’s talk about how we can help you lead the way. Latest posts

Supply-side platforms (SSPs) are expected to deliver more than inventory—they’re being asked to support sell-side targeting strategies, campaign results, and proof of performance. To meet that demand, SSPs need more than access to inventory. They need better data, better tools, and a way to bring it all together. Experian’s solutions for SSPs We built Experian’s solutions for SSPs with that demand in mind. By combining identity resolution, audience targeting, and third-party measurement, we help platforms move beyond basic transactions. Whether you’re doing sell-side targeting, supporting direct deals, or looking to support campaign validation, our tools make it easier to create value for buyers—and keep them coming back. Our solutions that help SSPs: Resolve identity across digital touchpoints using our industry-leading Digital Graph Build differentiated audiences using over 2,400 Experian Audiences and Partner Audiences in Audience Engine Support advertiser-direct relationships with tools to create, activate, and host custom segments Measure real outcomes like in-store visitation and sales through Outcomes, our third-party validated reporting suite Together, these capabilities allow SSPs to produce data-driven deals, increase addressability, and meet buyer demand for smarter, more measurable media. Campaign snapshot: Yieldmo + Experian Yieldmo, an advertising platform known for its creative formats and data-informed approach, has already put this solution to work. Here’s how they built a custom strategy for a major athletic retail client using Experian's solutions for SSPs. The challenge: Drive in-store traffic and reach new buyers Yieldmo supports a leading athletic retailer’s seasonal campaigns focused on in-store traffic. This advertiser wanted to reach new buyers—specifically those who might otherwise shop with a competitor. To do this, they needed access to strong audience segments with reliable data and the flexibility to act quickly across channels. This was the first time Yieldmo applied Experian Audiences to this retailer’s campaigns. The stakes were high: the client was looking for better in-store outcomes and a more streamlined activation workflow. The solution: Experian's activation solution for SSPs Using Experian’s Audience Engine, which includes our proprietary and third-party data marketplace, Yieldmo built a flexible, high-performing media plan that spanned display inventory and included both conquesting and primary in-store shopper segments. The team selected and activated: Apparel and footwear audiences built from Experian and partner data providers In-store shopper segments targeting retail behavior signals Competitive purchasers to capture likely buyers from other athletic brands Our data marketplace allowed Yieldmo to combine Experian Audiences with Partner Audiences from providers like Alliant, Circana, Sports Innovation Lab, and Webbula—all in one place. Manual audience creation used to take days. Now, Yieldmo can build and activate campaigns through a streamlined, self-serve workflow. By working in the Audience Engine platform, Yieldmo was able to avoid multiple contracts and manual requests. They filtered audiences by brand, tailored segments to their goals, and launched without delays. “Experian’s data marketplace in Audience Engine fills a critical gap—letting us quickly search by brand, build smarter conquest segments, and activate custom audiences fast.”Abby Littlejohn, Director of Sales Planning, Yieldmo The results: Expected lift in store visits While final in-store lift results are pending, the early performance metrics are promising: Click-through rates are at and above historical benchmarks across both conquesting and primary shopper segments. Using Audience Engine’s self-serve tools, Yieldmo created audiences faster and more easily. They reduced their workload by minimizing the need for manual data wrangling. “We include Experian audience segments in 80% of formal RFPs. Between contract simplicity, data quality, and campaign results, Experian has become our go-to for third-party audience targeting.”Nelson Montouchet, AVP, Strategic Partnerships, Yieldmo Download the full case study Bring this to your platform Whether you’re looking to monetize more effectively, build deeper advertiser relationships, or stand out with sell-side targeting offerings, we designed Experian’s solutions for SSPs to do exactly that. With our industry-leading Digital Graph, over 2,400 syndicated audiences, partner data, flexible self-serve tools, and outcome-based measurement, SSPs can now move faster and go further—without compromising scale or precision. Get in touch with our team Latest posts

Originally appeared in AdExchanger Google’s decision not to deprecate cookies in the Chrome browser after all caused a stir across the industry. Companies invested heavily in developing solutions aligned with the Privacy Sandbox as a survival tactic for the post-cookie landscape. At first glance, Google’s about-face may appear to undercut those efforts. It’s easy, and perhaps even satisfying for some – but inaccurate – to say “all that effort was for nothing.” Given Chrome’s dominance among browsers, AdTech companies had no choice but to prepare for “what if” scenarios. The same goes for cookie deprecation. Google’s plan to end support for third-party cookies would have removed a mechanism that has been a cornerstone of addressability for the past 15 years. To be clear, those efforts have not been wasted. They spurred innovation across the AdTech landscape, driving progress in privacy-first targeting, alternative identifiers, supply-path data activation, and real-time data enrichment – all of which will pay dividends for years to come. Whether born directly from Privacy Sandbox participation or inspired by the broader trend toward privacy reform, industry-wide preparation for cookie loss and browser disruption has yielded tangible benefits. Pressure from Google, Apple, and evolving regulations served as a catalyst for modernization that could shape the next decade of advertising technology. An industry anchored in product innovation AdTech is a fundamentally product-driven industry defined by short innovation cycles and the imperative to build and test rapidly. This DNA enables companies to stay resilient, evolve and deliver innovation. Change is good. Disruption can be even better – but only for those who embrace it. Google’s evolving stance on cookies and Privacy Sandbox doesn’t negate what’s been learned. If anything, it underscores the need to keep innovating. The next wave of disruption is likely right around the corner. The payoff While some may argue that the time and effort spent preparing for cookie loss was wasted, those efforts have functioned as a forcing mechanism for several innovations in data activation. Supply-side data activation and optimization, aka “curation,” is an alternative to the traditional approach to data activation. Unlike the traditional data management platform (DMP) to demand-side platform (DSP) activation flow, curation allows buyers to utilize supply-path data more directly. The upshot? Improved performance and pricing for media agencies and brand advertisers. As curation continues to evolve, it’s poised to play a central role in how advertisers and publishers transact. Real-time data enrichment is another area that has benefited from this period of accelerated innovation. Many companies were compelled to improve their tech stacks to align with Sandbox protocols.  These updates, particularly in real-time data enrichment capabilities, are now laying the groundwork for future data activation strategies across both the buy and sell-sides. Exiting out of tunnel vision Over the past five years, the AdTech industry has invested deeply in planning for a future without cookies. Still those investments have been well worth it. While cookies are not going away, the broader deprecation of signal continues. The work that was done to prepare will inevitably inform the next evolution of our industry. Contact us Latest posts