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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

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

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

Back-to-school season remains one of the biggest retail moments of the year—and 2025 is expected to follow suit. Total spending is projected to reach $84.51 billion, with K–12 shoppers alone contributing nearly $50 billion—59% of the total. E-commerce will also play a major role, accounting for 37.4% of total back-to-school sales. However, 2025 shoppers may be facing even higher costs due to the incoming tariffs with everything from laptops and lunchboxes to kids' clothing and crayons becoming more expensive. In anticipation of these rising prices, shoppers might once again start early to score deals. Last year, 55% of back-to-school and college shoppers had already started buying items in July for the upcoming school year. This early start coincided with major July promotions like Amazon Prime Day, in which U.S. shoppers spent a record $14.2 billion online, where school-related purchases surged by over 200%. Whether you’re marketing school essentials or offering services to help students succeed, it’s easy to default to the same go-to audiences. This blog post highlights overlooked back-to-school segments to help you build personalized back-to-school strategies that resonate with students, parents, and educators. You can find the complete audience segment names in the appendix. School the competition: How Experian can help you connect with 2025 shoppers With summer just around the corner, back-to-school might not be top of mind, but there’s no better time to start planning. Whether you're reaching parents, students, or educators, Experian’s syndicated audiences can help ensure your marketing messages make the honor roll by landing with the right people at the right time. Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, programmatic advertising platforms, and directly within Audigent for activation within private marketplaces (PMPs). Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key back-to-school attributes such as Presence of Children. Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent for activation in PMPs, and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. Meet your overlooked back-to-school audiences Back-to-school shoppers aren’t one-size-fits-all. From parents prepping supply lists to students outfitting dorms, reaching the right audience is key to making the grade with your campaign. Let's go beyond the basics. Here are four back-to-school audience categories you can target with Experian:  New year, new gear-ers Weeknight TV watchers Parenting personas School-season meal planners Let’s open our notebooks and break down the audience segments within each group. Whether your customers are buying backpacks, stocking the fridge, or searching for school essentials, these insights will help your campaign pass with flying colors. New year, new gear-er From teens picking out their first-day outfit to college students stocking up for dorm life, these audiences represent a wide range of priorities, needs, and spending behaviors. They’re also heavily influenced by trends, technology, and value-driven purchases. Don’t overlook these five high-potential audiences in your strategy: Big-Box Electronics Stores: High Spenders Amazon Frequent Spenders Department Store Deal Shoppers In Store Spenders Teen Apparel (Clothing): Online and In Store High Spenders Dell Computer and Apple Mac Purchaser  Weeknight TV watchers Back-to-school season is also back-to-routine season. Families are gathering for more shared TV time in the evenings—especially in August and September. This makes co-viewing households a prime audience for messaging tied to school-year prep. Rethink your back-to-school approach with these five overlooked segments: Co-Watchers  Co-Watchers with Children Cord Cutters: Recent Engagement Channel Preference: Streaming TV Digital Video Parenting personas Targeting by household structure helps tailor messaging to the right family dynamic—whether it’s parents with toddlers or households with college students. Four audiences you might be missing this back-to-school season: Digital Moms and Dads Sports Utility Families Colleges and Cafes Kids and Cabernet School-season meal planners Food and grocery shopping routines shift during the school season. These audiences are ideal for promotions tied to lunch prep, after-school snacks, and weeknight meals. Add these four under-the-radar audiences for back-to-school success: Online Grocery Delivery Services: High Spenders Grocery Stores: High Spenders Fast Food/QSR Frequent Spenders Fast Food/QSR Pizza Frequent Spenders Core back-to-school shoppers Of course, you’ll want to add traditional back-to-school audiences to your strategy. These audiences are highly engaged and often the decision-makers, making them ideal for marketers looking to drive purchase intent early and often. Here are four key back-to-school audiences you can target–all are available by life stage to reach PreK, elementary, middle, and high school households: Back to School Supplies Back to School Moderate Spend Back to School High Spend Back to School Apparel Make the grade with Experian this back-to-school season As marketers gear up for the back-to-school season, it’s the perfect time to sharpen your strategy and connect with back-to-school shoppers. Whether you’re building tried-and-true segments or exploring more unexpected, high-potential groups you might have not considered, Experian can help you reach the right audience. If you’re looking to create targeted segments for activation across digital and TV or gain insights to guide your campaign planning, Experian has you covered. Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice. Additionally, work with Experian’s network of data providers to build audiences and send to an Audigent PMP for activation. Connect with our audience team You can activate our syndicated audiences on-the-shelf of most major platforms. For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Explore our other seasonal audiences that you can activate today. View now Activate back-to-school audiences today with Audigent Ready to ace your back-to-school campaigns? Audigent will build customized deals that combine premium Experian syndicated or Partner Audiences and inventory into a single, streamlined deal ID - tailored to your campaign needs. Plus, our powerful supply-side optimization ensures your campaigns deliver top marks in performance.   Connect with the Audigent team today at AudigentAgency_Brands@experian.com to get a head-start on back-to-school success.  Download our back-to-school audience guide now Contact us Latest posts Appendix New year, new gear-ers  Retail Shoppers: Purchase Based > Shopping Behavior > Big-Box Electronics Stores: High Spenders Retail Shoppers: Purchase Based > Shopping Behavior > Big Box and Club Stores: Amazon Frequent Spenders Retail Shoppers: Purchase Based > Shopping Behavior > Department Store In Store Spenders Retail Shoppers: Purchase Based > Apparel > Teen Apparel (Clothing): Online High Spenders Retail Shoppers: Purchase Based > Apparel > Teen Apparel (Clothing): In Store High Spenders Lifestyle and Interests (Affinity) > Technology > Dell Computer Model Lifestyle and Interests (Affinity) > Technology > Apple Mac Purchaser Model Weeknight TV watchers Television (TV) > Household/Family Viewing > Co-Watchers Television (TV) > Household/Family Viewing > Co-Watchers with Children Experian > Retail Shoppers: Purchase Based > Entertainment > Streaming/Video/Audio/CTV/Cable TV: Cable/Broadcast TV: Cord Cutters: Recent TrueTouch: Communication Preference > Engagement Channel Preference > Streaming TV TrueTouch: Communication Preference > Engagement Channel Preference > Digital Video Parenting personas  Lifestyle and Interests (Affinity) > Personas > Digital Moms Lifestyle and Interests (Affinity) > Personas > Digital Dads Mosaic - Personas - Lifestyle and Interests > Group D: Suburban Style > D15 - Sports Utility Families Mosaic - Personas - Lifestyle and Interests > Group O: Singles and Starters > O53 - Colleges and Cafes Mosaic - Personas - Lifestyle and Interests > Group A: Power Elite > A03 - Kids and Cabernet School-season meal planners  Retail Shoppers: Purchase Based > Grocery > Online Grocery Delivery Services: High Spenders Retail Shoppers: Purchase Based > Grocery > Grocery Stores: High Spenders Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR QSR Frequent Spenders Retail Shoppers: Purchase Based > Food and Drink > Restaurants > Fast Food/QSR Pizza Frequent Spenders Core back-to-school shoppers Retail Shoppers: Purchase Based > Seasonal > Back to School Moderate Spend - PreK (Early Ed - PreK)  Retail Shoppers: Purchase Based > Seasonal > Back to School Moderate Spend - Elementary School  Retail Shoppers: Purchase Based > Seasonal > Back to School Moderate Spend - Middle School  Retail Shoppers: Purchase Based > Seasonal > Back to School Moderate Spend - High School  Retail Shoppers: Purchase Based > Seasonal > Back to School High Spend - PreK (Early Ed - PreK)  Retail Shoppers: Purchase Based > Seasonal > Back to School High Spend - Elementary School  Retail Shoppers: Purchase Based > Seasonal > Back to School High Spend - Middle School  Retail Shoppers: Purchase Based > Seasonal > Back to School High Spend - High School  Retail Shoppers: Purchase Based > Seasonal > Back to School Apparel - PreK (Early Ed - PreK)  Retail Shoppers: Purchase Based > Seasonal > Back to School Apparel - Elementary School  Retail Shoppers: Purchase Based > Seasonal > Back to School Apparel - Middle School  Retail Shoppers: Purchase Based > Seasonal > Back to School Apparel - High School  Retail Shoppers: Purchase Based > Seasonal > Back to School Supplies - PreK (Early Ed - PreK)  Retail Shoppers: Purchase Based > Seasonal > Back to School Supplies - Elementary School  Retail Shoppers: Purchase Based > Seasonal > Back to School Supplies - Middle School  Retail Shoppers: Purchase Based > Seasonal > Back to School Supplies - High School

Retail media networks (RMNs) are on the brink of a major shift. While they are poised to capture over 20% of ad spend in 2025, on-site monetization won't be the growth driver it once was. With advertisers consolidating spend among just six or seven RMNs on average, including giants like Amazon and Walmart, it’s hard for smaller RMNs to compete. Off-site retail media ad spend is projected to grow 42.1% in 2025 - nearly three times the rate of on-site growth (15.1%), according to eMarketer's November 2024 forecast. This dramatic shift underscores that while on-site placements are maturing, off-site is where the momentum (and money) is heading. To remain competitive, RMNs must move beyond traditional, on-site placements and embrace a broader, more integrated approach to media activation. The future of retail media is about utilizing enriched first-party data to drive performance across the open web, connected TV (CTV), and other digital channels. Break free from your owned and operated properties Historically, RMNs have limited ad placements to their own digital properties. While this approach has delivered high-margin returns - on-site ad margins can reach 70-90%, compared to 20-40% for off-site - it’s also inherently limiting. Retailers only have so much owned inventory to sell, and advertisers demand greater scale and flexibility. As brands push for more reach, RMNs must extend their impact beyond owned-and-operated (O&O) properties. Omnichannel retail media ad spending is forecast to hit $61.2 billion in 2025. Brands are looking beyond retail sites to build integrated, multi-channel strategies that drive results across the funnel.eMarketer Off-site doesn’t just mean digital. Walmart’s recent expansion of its Fuel and Convenience stations - planning to open or remodel 45 in 2025, bringing the total to 450 - shows how physical spaces are also becoming extensions of a retailer’s media network. These locations create new touchpoints where advertisers can engage shoppers with timely, context-aware messaging while they fuel up or grab a snack. These quick-stop environments are ideal for limited-time offers or impulse-triggering messages - especially since 68% of U.S. adults say discounts contribute to their latest in-store impulse purchase. Maximize the value of first-party data One of retail media’s biggest promises is the power of first-party data for precision targeting. While on-site ads are inherently lower-funnel, off-site activation allows advertisers to move up the funnel and apply retailer customer data holistically across the open web. For example, DoorDash and Macy’s now offer self-service audience data to advertisers via The Trade Desk, allowing brands to target consumers programmatically. Meanwhile, Walmart is taking a different approach - cloning The Trade Desk’s technology to maintain its walled garden. These moves demonstrate how retailers are rethinking data monetization strategies to scale beyond O&O limitations. Drive new revenue streams with off-site activation Off-site activation enables RMNs to drive incremental reach on channels where audiences are actively engaging, including CTV, programmatic display, and social media. This expansion allows brands to connect with consumers beyond retail websites. Retailers are also utilizing non-endemic advertising opportunities in environments like gas stations and kiosks. Unlike traditional grocery or apparel aisles, these spaces are brand-neutral, allowing advertisers who don’t sell products in-store to still activate campaigns using retailer data. In fact, 53% of brands have already partnered with a retailer that doesn’t carry their product, and that number is expected to grow as advertisers seek new ways to tap into retail media’s rich targeting capabilities. Retailers looking to extend the value of their data beyond O&O inventory have two primary off-site opportunities: First, they can use an identity graph to resolve customer identifiers into addressable IDs that can be enriched with additional attributes and activated across channels like the open web and CTV. This allows retailers to find and reach known customers with relevant messaging outside of their owned platforms. For example, a grocery RMN can identify lapsed snack buyers and deliver streaming TV ads that reengage them on CTV platforms. CTV retail media ad spending alone is expected to grow 43.1% this year, reaching $4.86 billion, highlighting the appetite for video-based upper-funnel strategies. Second, RMNs can broaden reach by activating first-party audiences, syndicated segments, or custom-built audiences through onboarding capabilities. These audiences can be sent to a variety of programmatic and CTV destinations, enabling advertisers to engage shoppers in high-impact environments. For example, a home improvement retailer can send its audience segments to programmatic ad exchanges, ensuring DIY shoppers see relevant offers even while browsing unrelated sites. Together, these approaches allow retailers to monetize their data more effectively while giving brands the ability to reach consumers in moments that matter beyond just retail websites and apps.  Scale and measure success with data partnerships For smaller RMNs to compete with larger players, they need more than just inventory - they need the ability to scale campaigns and prove performance. Data partnerships play a critical role in both expansion and measurement. Measurement remains one of the biggest challenges for RMNs moving off-site. On-site retail media offers closed-loop attribution, but off-site activations introduce complexity. Retailers can work with an identity resolution partner like Experian to connect ad exposures to actual retail outcomes, such as store visits or purchases, across digital and physical environments. Whether it's through pixels placed on campaign ads or TV impression logs, these connections help RMNs demonstrate real impact. This approach helps unify disparate data - such as a CTV ad exposure and a subsequent online or in-store purchase - into a clear, measurable outcome. These insights not only show what’s working, but help RMNs optimize future campaigns and provide advertisers with transparent, third-party-validated reporting. As retailers like Walmart integrate loyalty programs like Walmart+ into their physical extensions, they gain valuable behavioral insights into how customers shop across formats - from fueling up to filling carts. These data signals help refine identity graphs and improve measurement across increasingly hybrid consumer journeys. Beyond ads: The data monetization opportunity Smaller RMNs may struggle to scale ad-supported revenue, but there’s another path forward: Data-as-a-Service (DaaS). Providing anonymized, privacy-compliant audience insights to brands offers a high-margin, scalable revenue stream. In fact, some retailers are already embracing this model by licensing their data to programmatic platforms. A playbook for smaller RMNs to win off-site The future of retail media belongs to those who harness data to influence consumer behavior across all digital marketing channels. To succeed, RMNs should focus on: Moving beyond owned inventory: Activate first-party data across CTV, social, and programmatic channels to meet advertisers where their audiences are. Expanding reach through partnerships: Collaborate with identity resolution providers to maximize match rates and campaign effectiveness. Building a full-funnel offering: Position off-site retail media as a brand-building play, tapping into ad budgets that traditionally fund upper-funnel campaigns. Monetizing data, not just ads: Explore DaaS models to generate passive revenue. The time to move off-site is now Retailers that wait too long to embrace off-site activation risk falling behind. Those that expand beyond their owned inventory, invest in off-site data strategies, and build strategic partnerships will be the ones that shape the future of retail media. Experian isn’t just part of the RMN conversation. We’re driving it. Let’s talk. Connect with our team Latest posts

Not all customers are the same, so why waste your budget marketing to them like they are? McKinsey research shows that 71% of consumers want personalized shopping experiences, and 76% get frustrated when they don’t have them. That’s where demographic segmentation comes in. But what is demographic segmentation, exactly? We define it as a process that helps you categorize your audience into meaningful demographic groups so you can reach the right people with impactful custom messages. Businesses across industries are partnering with Experian to power smarter decisions and better results through solutions like demographic segmentation — but what does this look like in action? This article breaks down five real-world demographic segmentation examples, showing how businesses have worked with us to drive measurable success so you can see exactly how it can work for you. What is demographic segmentation?   Demographic segmentation involves dividing your audience into smaller, more specific groups based on shared demographics like income, education, gender, job, family status, and more to gain a more granular understanding of your brand’s target segments. The better you know your audience, the better you speak to their unique needs — and the more effective your campaigns will be, as you’ll be able to target each segment with highly personalized content that resonates. For instance, a company might market a new tech gadget to young adults in one way while promoting the same product to families with young children in a completely different way, ensuring the message speaks to each group’s lifestyle and priorities. Demographic segmentation attributes Some of the most common attributes used in demographic segmentation include: Age Each age group has different wants and needs. A new video game might catch the eye of teenagers, while a retirement plan is more likely to appeal to someone in their 50s or 60s. Gender Gender impacts preference for certain products, from fashion to gadgets, so knowing who you’re talking to helps make your marketing more relevant. Income Someone with a higher income might be more likely to purchase premium products, while someone on a budget will respond better to discounts or value-based offers. Education The level of education a person has can influence what kind of messaging will resonate with them, whether it’s complex or more straightforward. Occupation A marketing message targeting busy professionals might differ from one aimed at students or retirees. Occupation can tell you what’s important to a person in terms of their needs and lifestyle. Family Status A family with young kids likely has different priorities than a single person or a couple without children. You can adapt your messaging to be more relevant to what matters most to them, like convenience or value. Benefits of using demographic segmentation Demographic segmentation offers several valuable benefits for marketers. Here’s why it’s one of the most commonly used and effective ways to target audiences: Improved targeting and personalization: Demographic segmentation powers highly customized campaigns so you can cater to different income levels, family structures, job types, and so forth. B2C brands can provide offers based on factors like age, income, and gender, while B2B brands can target by occupation to reach decision-makers. Better product and service development: Understanding which demographics use your product or service is a great way to inform future improvements. Higher engagement: With highly customized content, you can speak directly to specific demographic groups and increase engagement. Cost efficiency: As you target the most relevant segments, you optimize your spending around the most likely buyers and will see better returns. Increased conversion and retention: Relevant, targeted messaging leads to higher conversion rates, and when people feel understood, they’ll want to keep coming back. Clearer customer insights: Demographic data provides precise, actionable insights for refining your marketing strategy. Simplicity and effectiveness: Demographic insights are immediately actionable and easy to implement, which gives you a great starting point for focused campaigns. When to use other segmentation types While demographic segmentation provides valuable consumer insights, there are times when other approaches may offer a more effective strategy: Your business provides location-dependent services. If you strictly serve a local area, geographic segmentation would be more effective in targeting customers based on location. You have access to detailed behavioral data. If you collect data on customer behavior (like browsing history or purchase patterns), behavioral segmentation would allow for more personalized targeting than demographics. You're selling high-end luxury products. While income is a useful demographic variable, factors like values, aspirations, and lifestyle better capture the desires of luxury consumers. Your target audience shares similar behaviors, regardless of demographic factors. Behavioral segmentation might offer more insight if your customers engage with your product or service based on shared behaviors rather than demographic traits. Your product or service targets specific needs or pain points. Segmenting by need or issue rather than traditional demographic variables would likely yield better results if you're offering a solution to a particular problem (like a health-related product). How our customers are using demographic segmentation to produce tangible results               Demographic segmentation is about knowing your audience and using data to create marketing strategies that drive measurable outcomes. Let’s look at some real-world use cases from brands like yours that have been successful in this effort, working with Experian to translate demographic insights into significant business growth. Use case #1: Identifying customer spending potential to boost growth for a retail chain Objective A large retail chain wanted to understand the spending potential of each customer in their stores. Their goal was to uncover and maximize untapped spending potential. Solution The large retail chain licensed Marketing Attributes to identify the top demographic factors that drove spending in the retail store the previous year. The four key drivers were: Age Income Family structure (household composition) Location/region Results By combining these attributes to create custom segments, we uncovered two valuable annual estimates: Potential spend: A conservative estimate of how much a customer could spend if they reached the top 20% of spenders within their specific demographic segment (based on data from the highest spenders). Unrealized spend: The difference between a customer's annual potential spend and their current spend. An estimate of how much more they could be spending each year. These demographic segments provided the marketing strategy the retail chain used to target $1.1 billion in unrealized spend. This revealed how much additional revenue could be captured by targeting the right customers with tailored marketing and offers through demographic segmentation. Use case #2: Helping a financial institution identify regional DE&I opportunities Objective A large financial institution needed help identifying regional diversity, equity, and inclusion (DE&I) opportunities. They wanted to better prioritize their outreach to underserved communities in the Los Angeles area. Solution We provided the data and insights to pinpoint specific areas needing attention. We used three key indices to analyze the region: Income index: Measured each underserved economic group by comparing the percentage of low-to-moderate income consumers against the entire L.A. area. Ethnicity index: Measured the percentage of consumers by ethnicity, such as African-American, Hispanic, Asian, and others, against the entire L.A. area. Credit index: Identified potential credit disparities by looking at the average FICO score and the percentage of customers with credit accounts against the entire L.A. area. Results Our client received an analytics dashboard to track and report these metrics, providing clear, traceable data to prioritize DE&I outreach. This dashboard helped them measure progress toward more inclusive practices. Use case #3: Segmenting a health supplement ambassador program for enhanced engagement Objective A health supplement company wanted to identify specific segments within their ambassador program to provide better support and increase engagement. Solution We developed tailored customer segments to address specific needs and behaviors. These segments included: Young and independent: Younger, lower-income singles or starter households who are just beginning to establish their own lives. Families with ends to meet: Young and middle-aged families with kids who are budget-conscious, often using coupons and enjoying fast food. High-end families: Middle-aged families with kids and high incomes, financially secure big spenders who also give to charities. Empty nesters: Older households with no kids who focus on cooking at home and may have more disposable income. Results Segmenting at registration allowed for more effective communication and engagement with prospects. Customized messaging, guided by customer demographics and purchasing behaviors, improved acquisition and retention by helping the right messages reach the appropriate individuals through their preferred channels. Use case #4: Comparing customer bases: Insights for a retailer across two cities Objective A national retailer with locations in two major cities (their home base city and a recent expansion city) wanted to understand how different their customer base was in each city. They aimed to uncover key demographic and behavioral differences to refine their marketing strategies and ensure each location received the most relevant messaging and promotions. Solution We analyzed each city’s customers across a wide range of characteristics:. Demographics: The expansion city had a younger population with more families, while the home base city had an older and more established customer base. Purchasing behavior: Customers in the expansion city spent more per transaction than those in the home base city. Preferred marketing approach: Customers in the home base city were likelier to be Brand Loyalists, responding well to familiar, trust-driven messaging. Shoppers in the expansion city were Savvy Researchers who responded better to value-based content and product comparisons. Results Using these insights, the retailer tailored its marketing approach to align with each location’s customer base: Home base city: Focused on maintaining loyalty by emphasizing brand trust and highlighting long-term customer benefits. Expansion city: Positioned marketing to appeal to younger, family-focused consumers to showcase high-value purchases and competitive pricing These adjustments led to improved engagement and higher sales in both cities. Use case #5: Optimizing direct mail to help a nationwide retailer maximize impact on a limited budget Objective Facing a shrinking marketing budget, a nationwide retailer needed to refine their direct mail strategy to reach the right customers while reducing costs. Solution We developed a comprehensive dashboard summarizing two dozen recent direct mail campaigns, which allowed the retailer to: Understand the demographic composition of high-response customers across different regions. Identify key patterns in response rates, helping them pinpoint the most receptive audiences. Discover that the Power Elite Mosaic Group representing affluent, high-spending households comprised only 17% of their mailed audience but accounted for 47% of responses. Results With these insights, the retailer restructured their direct mail strategy to target the highest-performing segments. Changes like these led to a 30% reduction in mailing costs while retaining 92% of sales, proving that strategic segmentation can drive efficiency without sacrificing revenue. Explore demographic segmentation with Experian Now that we’ve defined demographic segmentation and provided real-world examples, it’s time to explore how Experian data can help you better understand and connect with your audience. Experian’s Marketing Attributes provide rich, privacy-conscious insights into consumer demographics, lifestyles, and behaviors. These insights empower marketers to personalize experiences, refine targeting strategies, and make more informed decisions. With a deeper understanding of who your customers are, you can create more meaningful, impactful campaigns that drive stronger engagement and results.  Connect with us today to see how our data and expertise can improve  your targeting, personalization, and campaign performance. Connect with us Latest posts

In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Brian Mandelbaum, CEO and Co-Founder at Attain. About Attain Built for privacy — with visibility across all retailers, verticals and purchases — Attain provides solutions for the modern marketer. Its real-time measurement and optimization solutions coupled with high-fidelity audiences and proprietary insights enable marketers to drive valuable business outcomes. The power of transaction-based audiences Attain’s real-time transaction data provides a 360-degree view of consumer behavior. What makes this approach more effective than traditional demographic or behavioral targeting? Attain is the industry’s most trusted source of live purchase data, powered by a robust panel of 8 million fully permissioned consumers. Our platform delivers unmatched, real-time visibility into consumer purchase behavior across retailers, industries, and payment methods. Marketers gain deep insights — such as in-store vs. online purchases, payment methods, purchase frequency, cart contents, and average transaction value — enabling more precise audience targeting and media strategies. With Attain’s rich, transaction-based data, marketers can optimize campaigns with direct, actionable sales signals. Ensuring data accuracy and relevance Attain curates audiences using real-time transaction data, but advertisers often ask whether this data is deterministic or probabilistic. Can you clarify your methodology, and if probabilistic, how do you ensure accuracy and representation across the entire US population? Our transaction data comes directly from the largest live purchase data panel in the U.S. Covering over 10,000+ merchants and $600B in cumulative spend, our dataset offers a complete and dynamic view of real-world purchase behavior. Using advanced machine learning, we scale this data to represent the entire U.S. population with unmatched accuracy, ensuring a balanced and unbiased reflection of consumer spending patterns. Our rigorous methodology eliminates outliers, continuously optimizing for precision and stability, so marketers can trust our insights for better targeting, measurement, and optimization. Privacy-first data practices Attain is built on a privacy-first, consumer-permissioned model. There are many ways to capture purchase data—why did Attain choose a panel-based approach, and how does this method compare to other collection strategies in terms of accuracy, scale, and compliance? Attain’s panel-based approach is the foundation of our privacy-first, consumer-permissioned model. By capturing real-time transaction data directly from our opted-in consumer panel, we ensure unmatched accuracy and ethical data sourcing — paramount in today’s privacy-conscious world.   In exchange for sharing their data, consumers receive valuable benefits like early wages, savings tools, and shopping rewards, with no hidden fees. Unlike legacy third party data providers, our directly sourced transaction data provides deeper, more precise insights, enabling highly granular and actionable audience segments.   Our continuously growing panel reflects a broad cross-section of U.S. consumers while maintaining strict privacy and compliance standards. We fully adhere to regulations like CCPA and GDPR, giving both consumers and advertisers confidence in the responsible use of data. Attain’s approach delivers the ideal balance of accuracy, scale, and compliance—while prioritizing consumer trust. Cross-channel addressability With brands activating audiences across display, mobile, and CTV, how does Attain’s purchase data help advertisers refine their cross-channel strategies? Attain’s purchase data empowers advertisers to refine cross-channel strategies with smarter, data-driven insights. Our real-time transaction-based audiences enable scalable activation across display, social, online video, and addressable TV — ensuring campaigns reach high-intent buyers more likely to convert.   By applying purchase-based audiences across all channels, marketers are utilizing the strongest signals possible, which enables a more effective holistic strategy to drive to that ultimate sales outcome. Whether through social media, TV/CTV, mobile, or programmatic platforms, Attain helps brands connect with consumers at key moments in their buying journey, maximizing media impact with real behavioral insights instead of proxies.   With an expansive and growing network of media partners, Attain ensures brands reach their audiences wherever they are, delivering consistent, high-impact messaging. Whether optimizing for brand awareness or performance, our data helps marketers make smarter decisions to drive superior results. Proven performance with live purchase feedback Attain moves beyond traditional proxy metrics by providing live purchase data. How does this help advertisers optimize campaigns while they’re still running? What sets Attain’s audiences apart isn’t just the data fidelity and holistic coverage of consumer behavior, it's that they’re built and validated using live, privacy-safe purchase signals. Advertisers can execute campaigns confidently, knowing that they’re reaching real consumers based on recent, real-world transactions, not outdated models or inferred, probabilistic behaviors. Attain’s ability to measure sales lift across a wide range of inputs means that marketers can easily understand which audiences are driving actual sales outcomes during flight. This unlocks smarter mid-campaign optimizations, discovering new audiences, and fine-tuning targeting — to ensure audience performance continually improves against real revenue goals. Attain’s closed-loop approach gives advertisers a faster path from targeting to transaction, helping brands maximize the value of every impression. Industry-specific use cases Beyond CPG, Attain supports industries like QSR, retail, and financial services. Can you share a compelling example of how brands in these verticals are utilizing your audiences? Attain’s audiences provide a comprehensive view of the consumer, capturing all aspects of their purchase behaviors — from travel and dining to TV content consumption and shopping habits. This broad perspective offers brands a far richer set of buying signals than ever before, enabling them to make more informed decisions across the entire consumer journey. Quick service restaurants (QSR): With a comprehensive view across all transaction types (cash, credit, debit) – Attain enables QSRs to capture a full picture of customer spend at their nationwide locations. Ensuring these brands have holistic coverage across all sales channels, powered by a direct relationship with the consumer, Attain captures transactions both in-store, online, and through 3P delivery apps like UberEats and Grubhub. This powers Attain’s deep insights, which QSRs can use for intelligent, precise targeting- including frequent visitors, competitive share, products purchased, and more. QSRs can use this data to solve a variety of business objectives, like retention/growth, competitive conquesting, and more. Retail: In retail, Attain provides a wide range of audience segments, including loyalty shoppers, in-market buyers, competitive shoppers, and even adjacent buyers who may be interested in similar products. By combining these segments, retailers can optimize their campaigns to target real-time shoppers with the highest intent, rather than relying on outdated or generalized profiles that other providers might offer. Additionally, with our industry-leading refresh rate, brands benefit from the most up-to-date data, ensuring their campaigns are always aligned with the latest consumer behaviors. Financial services: In the financial services sector, Attain’s purchase data helps identify consumers who are actively considering financial products such as credit cards or loans. By understanding their purchasing behaviors, marketers can deliver highly personalized and relevant offers to those already displaying intent, leading to better conversion rates and more effective acquisition strategies. Integration with Experian's marketplace Attain is now available through the Experian marketplace. How does this integration make it easier for advertisers to activate and scale your audiences? Attain’s integration with Experian marketplace makes it easier than ever for advertisers to activate our purchase-based audiences across TV, social, and programmatic. This partnership makes Attain’s data even more accessible, supporting our mission to build the most comprehensive and trusted consumer data ecosystem.   With direct access to our real-time audiences within Experian’s marketplace, advertisers can more efficiently launch campaigns at scale and make more precise, data-driven decisions. As one of Experian’s inaugural partners, we’ve already seen strong adoption and demand, reinforcing the value of this partnership. The future of transaction-based targeting As the use of transaction data in advertising continues to grow, what changes do you anticipate in how brands will apply it for targeting and measurement? And how is Attain evolving its approach to support those shifts? As transaction data reshapes advertising, brands can shift from targeting probabilistic audiences to reaching high-intent consumers for greater ad relevance and conversions. Purchase data also unlocks highly accurate incrementality measurement, closing the loop and revealing which tactics and channels drive true incremental sales. Attain’s platform is built for outcomes-driven advertising, capturing data across the entire media cycle to continuously optimize performance. As we continue to make investments in AI and machine learning into our platform, our insights will become even more actionable and efficient — helping brands maximize impact, drive incrementality, and fuel long-term growth. Thanks for the interview. Any recommendations for our readers if they want to learn more? To explore our audience segments, visit the Attain website or contact your Experian account representative to schedule your free match test. Contact us today About our expert Brian Mandelbaum, CEO and Co-Founder, Attain Brian Mandelbaum, a veteran entrepreneur and investor, is the co-founder and CEO of Attain, North America’s largest opt-in purchase platform. Prior to Attain, Brian founded Clearstream TV, a data-enabled video distribution platform acquired by Engine Group in 2015. He brings over 20 years of experience in data-driven digital media, collaborating with top agencies and major brands. Latest posts

Delivering personalized customer experiences is essential, with 81% of customers preferring a personalized approach to their relationships with brands. However, 80% of consumers are concerned about how their data is used, presenting businesses with the challenge of balancing data collection and privacy with personalization. Despite consumer appetite for personalization, many organizations lack the data to make data-driven decisions: 68% of businesses don't understand how their customers think, and 82% don't confidently know their customers' pain points.  Without this critical data, businesses cannot effectively create personalized consumer connections. Experian offers businesses robust and unique data through our Marketing Attributes to empower businesses with the insights required to derive accurate insights into consumers and drive personalized experiences.  How Experian can help businesses with their data acquisition needs through Marketing Attributes Experian's Marketing Attributes allow businesses to license Experian's data attributes in part or full to provide reliable and accurate data solutions. These solutions assist companies in finding, reaching, and influencing their customers. They are supported by rigorous quality and privacy controls which has earned Experian a #1 data accuracy ranking by Truthset helping our clients reach people based on who they are, where they live, and what they do. Download our Marketing Attributes one sheet Experian has built a strong foundation of consumer behavioral and demographic data with over 5,000 attributes available across over 15 categories and verticals, helping our clients gain deep insights into their consumers. Below we go through five common use cases we have seen using Experian’s data to power various business initiatives. Exploring everyday use cases for Experian's Marketing Attributes 1. Understand areas of the country where your products or services are underserved For instance, a brand offers a diverse range of products that cater to various market segments and audience personas. They seek to gain a deeper understanding of geographic distribution to refine their marketing strategies. Specifically, they aim to identify which market areas are currently underserved, presenting a valuable opportunity for targeted marketing campaigns to boost product adoption in regions that have not fully embraced their offerings.  Utilizing Marketing Attributes from Experian, the brand can access detailed data aggregated at the geographic level. This data provides crucial insights into markets where their products have seen limited adoption yet show a strong potential for success based on the preferences of their target audiences. This approach will help the brand strategically direct its marketing efforts to areas with high growth potential. Learn how Swiss Sense drove market-specific growth strategies with Experian 2. Better understand consumers who purchase within a category Brands frequently operate based on assumptions regarding their customers' preferences and interests, yet they may lack the comprehensive data necessary to substantiate these beliefs.  Experian's Marketing Attributes provides brands with access to extensive data across 15 diverse verticals and categories. This wealth of information allows businesses to develop a holistic understanding of their customer base, enabling them to validate their assumptions and uncover valuable insights into customer behaviors. By utilizing this data, brands can significantly enhance their marketing strategies, refine their product offerings, and implement personalized tactics that resonate with their audiences on a deeper level.  3. Reach a new segment of the market for a new product offering Introducing a new product to a new segment of the market presents unique brand challenges. Without any historical customer data to draw upon, companies lack vital insights that could help them identify and reach their target audience. This absence of foundational knowledge makes it challenging to understand consumer preferences, craft suitable messaging, or determine the most effective channels for connecting with potential customers. To navigate these hurdles, brands frequently turn to Marketing Attributes for consumer research within the new segment. Analyzing demographics, common behaviors within a geographic region, or previous purchase behaviors can uncover patterns and preferences among potential customers. This deeper understanding enables them to create tailored audience models, allowing brands to develop and activate customized messaging based on common interests, identify channels consumers are most likely to engage by using TrueTouch data from Experian. 4. Create custom lookalike models based on your current customers We have found brands trying to launch an acquisition campaign to look at consumers whose behaviors and interests closely mirror those of their highest-converting customers. However, they often lack the necessary data to find new customers that look like their most loyal base.   To address this gap, they turn to Marketing Attributes in combination with Experian’s Offline Graph or Digital Graph, which allow them to pinpoint and analyze the key characteristics and behaviors that define their top customers and reach these consumers on digital or offline channels. Marketing Attributes power the insights into their client’s behaviors and Experian’s Offline or Digital Graph create the linkage to their customer base. Using these insights, the brand can develop a distinct audience model tailored to reflect their most successful customers' unique traits and preferences. This customized approach will help them reach potential new customers who will likely engage and convert. 5. Develop unique audience products We have seen clients use their own first-party data alongside Experian Marketing Attributes and other data sets they own or lease. With Experian's Offline Graph or Digital Graph, they can connect the different data sources together to create a tailored audience solution that meets the specific needs of the brand's clients and the requirements of their market segment. Exploring joint solutions Combining Experian’s Offline Graph with Marketing Attributes Many customers use Experian’s Offline Graph with Marketing Attributes to connect Experian’s data to the brand’s offline marketing strategy. Experian’s Offline Graph offers companies a license of stable offline data points, like name, address, phone number, email, geographic, date of birth, and more that provide a complete view of household and individual identities. Powering use cases like: Regional consumer insights for marketing strategy, media activation, product and location planning Offline media activation, including direct mail, telemarketing, out-of-home, and more Client-driven enrichment The combination of Offline Graph and Marketing Attributes provides unmatched consumer connectivity, enabling clients to generate custom insights, inform product strategy, and activate marketing campaigns. Offline Graph acts as the link between consumers insights and activation. Download our Offline Graph + Marketing Attributes one sheet Combining Experian's Digital Graph with Marketing Attributes The uncertainty around third-party cookies in Chrome and the overall decline in signal complicates the industry’s ability to reach the right consumer. Omnichannel media consumption results in scattered data, making it harder for marketers and platforms to understand consumer behavior and reach them across channels. These challenges call for a comprehensive solution. Our Digital Graph and Marketing Attributes solution addresses these challenges by providing identifiers for seamless cross-channel engagement. By adding Marketing Attributes, like demographic and behavioral data, marketers and platforms also gain a better understanding of their customers. This solution uses Experian’s Living Unit ID (LUID) to combine offline and digital data, giving customers deeper insights into consumer behavior, greater audience reach, and improved cross-channel visibility. Transform insights into loyalty with Experian’s Marketing Attributes Experian's Marketing Attributes enable businesses to gain valuable insight into their prospects and customers. Through this deeper understanding, they can deliver personalized experiences while successfully navigating the complexities of data acquisition and privacy. This helpful information allows brands to make strategic, informed decisions that enhance their marketing efforts. Ultimately, these insights foster more substantial, meaningful connections between businesses and their customers, leading to enhanced customer satisfaction. Get started today Latest posts

In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Eric Shiffman, VP of Product Marketing at Yieldmo.  Here are five key takeaways from Eric’s insights: Tailored campaigns with Experian data: Yieldmo integrates Experian’s trusted identity and audience data to deliver creative campaigns tailored to specific audiences, ensuring more meaningful engagement.  Omnichannel activation made easy: Experian’s data marketplace helps Yieldmo expand its reach across display, mobile, and CTV, creating seamless cross-channel advertising strategies.  Advanced targeting and insights: The combination of Yieldmo’s attention signals and Experian’s identity solutions allows advertisers to pinpoint audiences with precision and confidence.  Driving results in key verticals: Retail, CPG, and automotive campaigns use Experian data on Yieldmo’s platform to achieve improved personalization, targeting accuracy, and measurable outcomes.  Scalable and privacy-conscious advertising: Yieldmo’s partnership with Experian ensures scalable solutions that balance advanced targeting with privacy-focused practices, benefiting advertisers across all industries.  About Yieldmo Yieldmo often describes itself as ‘the creative and media results company,’ using a predictive, provocative, and proven approach. Could you give us a brief overview of how this vision shaped the company and how you differentiate yourselves in ad tech?  Yieldmo was built on the belief that every ad experience should be as engaging and human centered as the content around it. By merging creative excellence with advanced technology and AI, we enable advertisers to deliver custom ad formats that spark emotion and inspire action. Our proprietary attention signals and predictive format selection allow brands to optimize for outcomes before impressions are served. This approach, combined with privacy-safe inventory curation, ensures that our solutions stand out in their ability to deliver both creativity and results.  Creative and inventory performance You’re known for delivering premium experiences across top-tier publishers. What strategies or innovations does Yieldmo employ to boost creative performance, increase engagement, and optimize inventory for your partners?  At Yieldmo, we emphasize the fusion of creative and media. We utilize predictive AI and a vast dataset to generate, customize, and match creatives with the right audiences and page contexts, enabling proven performance and learnings. On the supply side, we elevate publisher inventory by aligning high-quality ads with relevant content in innovative, non-intrusive creative formats. This dual focus ensures that every impression is primed for engagement, delivering tangible value to advertisers and optimal monetization for publishers.  Partnership with Experian As a partner of Experian, how do our identity and audience data complement Yieldmo’s platform, and why do you see this collaboration particularly beneficial for the broader advertising industry?  Experian’s robust identity and audience data ​strengthen Yieldmo’s ability to serve precisely tailored creative experiences. By integrating Experian’s insights with our proprietary attention signals and AI-driven predictive systems, we can ​optimize ​audience targeting and engagement strategies. This​ partnership represents​ the advancement of outcome​-driven advertising while giving brands the confidence of reaching the right consumers in meaningful ways.  Interest in Experian's data marketplace Experian recently introduced a new data marketplace aimed at simplifying data partner audience activation across display, mobile, and CTV. Which elements of this offering are most exciting from your perspective, and how do you anticipate it shaping Yieldmo’s solutions?  The unified approach of Experian’s data marketplace to streamline audience activation aligns seamlessly with Yieldmo’s vision of delivering data-driven creative optimization. The ability to activate comprehensive data sets across multiple channels​ expands​​ ​our omnichannel solutions, bringing precision and scalability to advertisers. Lately, we have focused resources on delivering thoughtful, cross-channel creative experiences, so aligning audiences to those is a logical extension.   Verticals using third-party data From your experience, which verticals or industries are most likely to activate third-party data campaigns on Yieldmo’s platform, and have you observed any emerging trends in how advertisers use data from Experian or other providers?  The retail,​ CPG, and automotive industries have been leading adopters of third-party data, using it to fine-tune targeting and personalize their messaging. Recently, we’ve noticed a shift toward bringing more post campaign measurement insights to the supply side–brand lift, foot traffic, conversion–for better optimization, whereas historically this valuable dataset was trapped in buy-side platforms.   Data utilization and success stories Could you share how Yieldmo’s data-driven approach has evolved and any standout success stories that highlight your platform’s impact and value to partners?  Yieldmo has always prioritized data to inform creative decisioning, from predictive ad placements to real-time optimization. In this award-winning Humane Society case study, we utilized media curation and predictive creative to drive a >170% CTR increase, 5x the campaign benchmark, leading to more page visits and donations.   Thanks for the interview. Any recommendations for our readers if they want to learn more? To learn more about our solutions and partnership opportunities, visit the Yieldmo website or contact your Experian account representative to schedule your free match test.  Contact us About our expert Eric Shiffman, Vice President of Product Marketing, Yieldmo Eric Shiffman is a product marketing leader with extensive experience in advertising technology. At Yieldmo, he drives strategies that blend AI, creative optimization, and privacy-conscious solutions to deliver measurable creative and media results. Eric ​translates​​ ​complex technologies into actionable messaging, positioning, and insights, and evangelizing products and solutions. His expertise spans creative optimization, data-driven advertising, CTV, and audience solutions.  Latest posts