At Experian, we understand the importance of audience targeting when it comes to crafting a successful marketing campaign. We are excited to share a curated list of audience recommendations to support your campaign planning so you can confidently connect with your audience. What separates Experian’s syndicated audiences 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 demographic attributes. 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. New and improved audience segments we recommend for Q1 campaigns Q1 is the ultimate season for TV, with the NFL playoffs, Super Bowl, College Football playoffs, award shows and so much more capturing viewers’ attention. That’s why we're excited to introduce 14 new and 8 updated television audiences. Recently released on major platforms, these new television audiences offer unique opportunities to align your campaign planning with the latest viewer behavior trends. Cable Satellite or Streaming Network Subscribers Satellite Service Subscribers Mutli Brand TV Owners Seasonal audiences for Q1 New Year’s audiences As the new year approaches, it’s the ideal moment to connect with consumers inspired by their New Year’s resolutions. In 2024, one-third of U.S. adults set goals for the year, focusing on key areas like healthier living, getting organized, exploring new experiences, and improving financial wellness. Experian’s New Year’s resolution audiences provide valuable insights into these aspirations, allowing you to tailor your messaging and engage with consumers determined to make positive changes in 2025. From promoting healthy lifestyles and travel to supporting organization and financial goals, Experian’s data-driven solutions help you capture these motivated audiences with precisely targeted messaging. Learn more here Football audiences Football season presents an unmatched opportunity for brands to connect with one of the most engaged audiences in the U.S. As in-game ad costs continue to rise and slots fill up quickly, brands are seeking innovative ways to reach passionate football viewers beyond the game. Experian’s specialized football audience segments allow advertisers to engage with fans across categories like NFL stadium visitors, college football enthusiasts, beer drinkers, and dedicated TV viewers, ensuring your brand connects meaningfully with consumers throughout the season. Read more here Financial audiences With tax season just around the corner, brands have the opportunity to connect with financially engaged audiences in the U.S. Whether your goal is to reach self-starters managing their own returns or high-net-worth individuals seeking advanced tax solutions, Experian can ensure your brand connects meaningfully with the right financial audience at the right time. Experian’s specialized financial audience segments empower brands to engage with key groups, such as: Tax Return – Self prepare user Tax Return - Online tax software user Tax Return – Professional Service Preparer user Savvy Sounding-Board Seeking Investor Price Sensitive, Self-Directed Investor Top recommendations for Q1 Based on the top Experian audiences activated in Q1 of 2024, our top 10 list is designed to assist agencies and media buyers plan data-driven advertising campaigns. Occupation 1) Small Business Owners: This segment contains consumers who are likely to be small business owners. 2) Military – Inactive: This segment contains consumers who are likely to be inactive in the military. 3) Legal/Education and Health Practitioners: This segment contains consumers who are likely to have an occupation in Legal/Education and Health Practitioner. 4) Technical: Computers/Math and Architect/Engineering: This segment contains consumers who are likely to have an occupation in Computers/Math and Architect/Engineering. Consumer Lifestyles 5) Vacation/Leisure Travelers: Weekend Getaways: This segment contains consumers who are likely high spenders or frequent purchasers of weekend getaway travel. 6) Women's Sleepwear and Lingerie: High Spenders: This segment contains consumers who are likely high spenders at women's sleepwear and lingerie stores (e.g., Soma, Victoria's Secret). 7) Smart Investors: This segment contains consumers who are likely actively seeking out as much information about an investment as possible before committing, shopping around for the best investment deal, and aversion to financial debt. 8) Computers/Software Frequent Spenders: This segment contains consumers who are likely frequent spenders of computer software. Life Events 9) New Movers: High Spenders: This segment contains consumers who are likely new mover high spenders. 10) New Parents: Child Aged 0-36 Months: This segment contains consumers who are likely to be new parents for children aged 0-36 months. You can find the complete audience segment name in the appendix. Activate the right audiences with Experian For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. 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. Connect with our audience team Contact us Appendix Here are the complete audience segment names (taxonomy paths) for all audience segments discussed in this blog post. TV Audiences Television (TV) > Household/Family Viewing > Cable Satellite or Streaming Network Subscribers Retail Shoppers: Purchase Based > Seasonal > Discount Holiday Shoppers Television (TV) > Brand Owners > Multi Brand TV Owners Financial Audiences Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return – Self prepare user Lifestyle and Interests (Affinity) > Financial Behavior > Online Tax Software user  Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return --Professional Service Prepare user Financial Personalities > Investments Financial Personality > Savvy Sounding-Board Seeking Investor, Average Investable Assets Financial Personalities > Investments Financial Personality > Price Sensitive, Self-Directed Investor, Very High Investable Assets Occupation Consumer Behaviors > Occupation: Small Business Owners Lifestyle and Interests (Affinity) > Occupation > Military – Inactive Demographics > Occupation > Professional: Legal/Education and Health Practitioners Demographics > Occupation > Technical: Computers/Math and Architect/Engineering Consumer Lifestyles Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Weekend Getaways Retail Shoppers: Purchase Based > Apparel > Women's Apparel (Clothing): Women's Sleepwear and Lingerie: High Spenders Financial Behavior > Smart Investors Retail Shoppers: Purchase Based > Technology/Telecom > Computers/Software Frequent Spenders Life Events Retail Shoppers: Purchase Based > Shopping Behavior > New Movers: High Spenders Life Events > New Parents > Child Age 0-36 Months Latest posts

Today, we are excited to announce our acquisition of Audigent—a leading data and activation platform in the advertising industry.

Retail media has been on everyone’s radar for a while. Commerce media has also established itself as a significant player in the AdTech industry over the past few years. While retail media focuses on engaging customers within a retailer’s ecosystem, commerce media goes beyond these boundaries to capture the entire shopping journey, spanning multiple touchpoints, channels, and platforms.

Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. 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Consumers engage with content and advertisements across various devices and platforms, making an identity framework essential for establishing effective connections. An identity framework allows businesses to identify consumers across multiple touchpoints, including the relationships among households, individuals, and their devices. Combined with a robust data framework, businesses can understand the relationship between households, individuals, and marketing attributes. Consequently, businesses can tailor and deliver personalized experiences based on individual preferences, ensuring seamless consumer interactions across their devices. We spoke with industry leaders from Audigent, Choreograph, Goodway Group, MiQ, Snowflake, and others to gather insights on how innovations in data and identity are creating stronger consumer connections. Here are five key considerations for advertisers. 1. Embrace a multi-ID strategy Relying on a single identity solution limits reach and adaptability. Recent data shows that both marketers and agencies are adopting multiple identity solutions. By embracing a multi-ID strategy with solutions like Unified I.D. 2.0 (UID2) and ID5, brands can build a resilient audience targeting and measurement foundation, ensuring campaigns remain effective as identity options evolve across channels. A diversified identity approach ensures that advertisers are not left vulnerable to shifts in technology or policy. By utilizing multiple ID solutions, brands can maintain consistent reach and engagement across various platforms and devices, maximizing their campaign effectiveness. "I don't think it will ever be about finding that one winner...it's going to be about finding the strengths and weaknesses and what solutions drive the best results for us."Stephani Estes, GroupM 2. Utilize AI and machine learning to enhance identity graphs Identity graphs help marketers understand the connections between households, individuals, their identifiers, and devices. This understanding of customer identity ensures accurate targeting and measurement over time. AI and machine learning have become essential in making accurate inferences from less precise signals. These technologies strengthen the accuracy of probabilistic matches, allowing brands to understand consumer behavior more effectively even when data fidelity is lower. Adopting a signal-agnostic approach and utilizing various ID providers enhances the ability to view consumers' movements across platforms. This strategy moves measurement beyond isolated channels, providing a holistic understanding of campaign effectiveness and how different formats contribute to overall performance. By integrating AI and machine learning into identity graphs, advertisers can develop more cohesive and effective marketing strategies that guide customers seamlessly through their buying journey. "What we're finding is more and more identity providers are using Gen AI to locate connections of devices to an individual or household that maybe an identity graph would not identify."David Wells, Snowflake 3. Balance privacy with precision using AI AI-driven probabilistic targeting and identity mapping provide effective solutions for privacy-focused advertising. Rather than relying on extensive personal data like cookies, AI can use limited, non-specific information to predict audience preferences accurately. This approach allows advertisers to reach their target audience while respecting privacy—a crucial balance as the industry shifts away from traditional tracking methods. According to eMarketer, generative AI can further enhance audience segmentation through clustering algorithms and natural language processing. These tools enable more granular, privacy-compliant targeting, offering advertisers a pathway to reach audiences effectively without needing third-party cookies. "I think the biggest opportunity for machine learning and AI is increasing the strength and accuracy of probabilistic matches. This allows us to preserve privacy by building models based on the features and patterns of the consumers we do know, instead of transmitting data across the ecosystem."Brian DeCicco, Choreograph 4. Activate real-time data for better engagement Real-time data enrichment introduces dynamic audience insights into the bidding process, enabling advertisers to respond instantly to user actions and preferences. This agility empowers marketers to craft more relevant and impactful moments within each campaign. "Real-time data enrichment--where data companies can have a real-time conversation with the bid stream--is an exciting part of the future, and I believe it will open the door to activating a wide variety of data sets."Drew Stein, Audigent 5. Create and deploy dynamic personas using AI Generative AI transforms persona-building by providing advertisers with richer audience profiles for more precise targeting. This approach moves beyond traditional demographic categories, allowing for messaging that connects more meaningfully with each consumer. By using generative AI to craft detailed personas, advertisers can move beyond generic messaging to create content that truly resonates on an individual level. This personalized approach captures attention and strengthens consumer relationships by addressing their specific needs and interests. "One cool thing we've built recently is a Gen AI-based personas product that generates personas to create highly sophisticated targeting tactics for campaigns."Georgiana Haig, MiQ Seize the future of data-driven engagement Focusing on these five key innovations in data and identity allows you to adapt to the evolving media landscape and deliver personalized experiences to your audience. 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Originally appeared on Total Retail Retail media networks (RMNs) continue to demonstrate how they can be a powerful monetization driver for retailers, creating a win-win-win for everyone involved. Retailers can monetize their valuable first-party data as well as their online and in-store inventory, while customers benefit from timely, relevant content that enhances their shopping experience. At the same time, advertisers can reach highly targeted audiences at critical moments near the point of purchase Achieving this type of success requires overcoming challenges around fragmented and incomplete first-party data, which can limit a retailer's ability to organize and use their data effectively. Additionally, many RMNs lack the analytical capacity to generate customer insights, build addressable audiences, and accurately measure success. To realize the full potential of their platforms, RMNs need partners that provide complementary data, strong identity solutions, and the expertise to transform insights into actionable strategies. This allows RMNs to drive winning outcomes for themselves, marketers, and their customers. Here are the five steps an RMN should consider when selecting the right partner. 1. Build an identity foundation First, the right partner needs to be able to organize and clean customer data. Given the millions of customer records and data points that a retailer has, RMNs need to make sure their data is highly usable. Whether it is a known customer record or an unknown customer with incomplete data, partners should fill in missing information and connect fragmented customer records to a single profile. For example, RMNs need to know that a purchase made in-store is by the same customer who bought online. The best partners will then organize those profiles into households since targeting (and purchasing) is often done at the household level. Without a strong identity foundation future steps of segmentation, insights, audience creation, and activation will not be successful. Experian identity Experian's identity solutions provide RMNs with a comprehensive and accurate view of their customers across both offline and digital environments. We clean an RMN's first-party data and organize their customer records into households since targeting is often done at the household level and purchases are made at the household level. Using Experian's Offline and Digital Graphs we work with the RMN to fill in the missing information they have on their customers (e.g. name, address, phone number or digital IDs like hashed emails, mobile ad IDs, CTV IDs, Universal IDs like UID2 or ID5 IDs). This ensures that the retailers' entire customer base can be reached - and measured - across devices and channels. 2. Segment your customers An RMN’s ability to segment its customer base and derive insights depends on the availability and usability of their data assets – not to mention some serious analytical chops. Some RMNs will split their customers into different product segments based on what’s relevant to an advertiser. For example, a home improvement retailer may segment customers by who is buying DIY supplies versus improvement services.  Other RMNs may develop custom segments from their customer data and third-party data sources, so that advertisers can personalize their marketing based on life stage, age, income level, geography, and other factors. Either approach is effective but requires working with a partner who has high quality data and deep analytical expertise to develop those segments. Segment with Experian Experian Marketing Data helps an RMN learn about their customer beyond their first-party data. With access to 5,000 marketing attributes, RMNs can fill in the holes in their understanding of a customer. We provide them with demographic, geographic, finance, home purchase, interests and behaviors, lifestyle, auto data and more. RMNs can use this enriched data set to create addressable audience segments. 3. Generate actionable insights about these segments Once the RMN determines how they will segment their customers, they can utilize demographic, attitudinal, interest, and behavioral data from a trusted partner to develop a customer profile that compares its customers against a relevant sample of consumers. Here, the RMN will gain insight that will help them answer questions about its customers. Examples include:  What age and income groups are more likely to purchase my product? What is the current life stage of my customers – do they have children, are they married, are they empty-nesters? Is price or quality more important to customers in their decision-making process? What sort of activities do my customers enjoy? How frequently do my customers shop for similar merchandise? What media channels do my customers use to get their information? Expanded insights with Experian With Experian’s advanced customer profiling, RMNs can go beyond basic customer segmentation. We build detailed customer profiles by utilizing accurate, attribute-rich consumer data, so RMNs can gain a more comprehensive understanding of their customer’s preferences, life stages, and purchasing behaviors.  Having this insight enables the RMN to: Design a targeted email campaign promoting home essentials to recently married new homeowners. Develop a social media post announcing the opening of a new hardware store to users within a specific location interested in do-it-yourself products. Create brochures and flyers at a local community event tailored towards parents with small children that promote equipment for youth sports leagues. 4. Create high quality lookalike audiences The RMN now knows what distinguishes their customers from other consumers and can create audiences that enable advertisers to run personalized marketing campaigns at scale. RMNs can do this in several different ways: Work with a data provider who can create custom audiences for the RMN (e.g., Ages 40-49 and Leisure Travelers and past purchase of travel item) These custom audiences are created by joining multiple first- and third-party data attributes found to be significant in the customer profile or using machine learning techniques to develop a custom audience unique to the advertiser.   Custom audiences with Experian With an enriched understanding of their customers, RMNs can create addressable custom audience segments, including lookalike audiences, for advertisers. 5. Expand addressability of audiences and activate on multiple destinations Once audiences are created, RMNs will want to increase a marketer’s reach across on-site and off-site channels. With the right identity graph partner, an RMN can add digital identifiers to customer records that enable activation across media channels, including programmatic display, connected television (CTV), or social. RMNs should work with identity providers that are not reliant on third-party cookies. They should select partners that offer more stable digital IDs in their graph like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and universal IDs like Unified I.D. 2.0 (UID2). Experian powers data-driven advertising through connectivity Using Experian's Digital Graph, RMNs expand the addressability of their audiences by assigning digital identifiers to customer records. Marketers will be able to reach an RMNs customers onsite as well as offsite since Experian provides several addressable IDs. Audiences can be activated across an RMNs owned and operated platform as well as extended programmatically to TV and the open web through Experian's integrations across the ecosystem. Maximize your RMN’s revenue potential with Experian Organizing customer data, segmenting customers, generating insights, creating addressable audiences, and activating campaigns are all critical steps for an RMN to realize that revenue potential. RMNs should select a partner that provides the data, identity, and analytical resources to create the winning formula for marketers, customers, and retailers.  Experian’s data and identity solutions are designed to help RMNs maximize their revenue potential. Reach out to our team to discover how we can support your path to RMN success. Connect with us Latest posts

Originally appeared on MediaPost As the digital ecosystem becomes more complex, managing multiple identifiers for consumers has emerged as a significant challenge. From cookies and IP addresses to mobile IDs and universal IDs, marketers and platforms face increasing difficulty in maintaining a unified view of their consumers. Without a coherent identity strategy, campaigns can suffer from poor targeting, limited personalization, and flawed attribution. Experian understands these challenges and offers solutions to help our partners navigate the complexities of a multi-ID landscape. By utilizing both digital and offline data, we provide the tools to unify fragmented identifiers and maintain a persistent view of consumers. As a result, marketers and platforms get rich insights, accurate cross-device targeting, improved addressability, and measurable advertising. The shifting identity landscape For years, the industry has relied on cookies to identify consumers across devices and platforms. However, with ongoing signal loss, including the uncertainty around cookies, and the evolution of privacy regulations, the digital identity landscape has grown more complicated. As consumers hop from one device to another, they are now represented by multiple signals, each tied to a different aspect of their digital behavior. While this shift brings complexity, it also opens the door for innovation. Marketers and ad platforms now have the opportunity to rethink their identity strategies and adopt more flexible approaches that are not reliant on a single identifier. This is where Experian comes in. Connecting the dots: A holistic view of the customer journey Our identity solutions are designed to help manage today’s multi-ID ecosystem by connecting digital and offline identifiers to a single customer profile. This creates a unified view of the consumer, and when combined with our understanding of customer behavior (e.g. demo, interests, shopping patterns) marketers and platforms get both insights about their customers and the addressability to reach them across channels. Four examples of what you can do with a strong identity foundation If an advertiser wants to make its first-party data more addressable, it can utilize our Digital Graph with universal IDs, hashed emails (HEMs), and connected TV (CTV) IDs to extend its reach. A publisher who wants to gain further insights into their audiences and create private marketplaces (PMPs) can achieve this goal with the use of our Digital Graph with hashed emails, universal IDs, mobile ad IDs (MAIDs), CTV IDs, and IPs. The publisher can use this in concert with Marketing Attributes to understand age, gender, household income, buying behavior, and more. The publisher can connect marketing attributes to the Digital Graph via our Living Unit ID (LUID) to understand more about consumers that fall into their segments. A demand-side platform (DSP) who wants to extend first-party and third-party audience reach across all digital devices on their platform will use the Digital Graph with all digital IDs to allow users of their platform to select cross-device extension against first-party and third-party audiences. A retail media network (RMN) can use our Offline and Digital Graphs to connect in-store and online purchases to a household profile—even when purchases are made by different people. The RMN can then reach that household across digital media platforms and accurately attribute the in-store purchase back to digital ad exposure.  Identity as a strategic asset: Today and in the future In our paradoxical world where consumers are represented by multiple identifiers, yet marketers and platforms face signal loss, identity is more than a technical issue—it’s a strategic asset. The ability to unify identity data into a single profile provides marketers with the customer intelligence needed to drive growth and stay competitive. Here’s how we do it: Deep, persistent customer understanding: With roots in offline, deterministic data like names, addresses, and emails, we provide an accurate and persistent view of identity to our customers. This allows you to maintain a consistent and comprehensive understanding of your customers and their marketing attributes over time. Highly accurate and refreshed digital identities: Our signal-agnostic graph is not reliant on any one signal as it includes HEMs, cookies, MAIDs, IPs, Universal IDs, and CTV IDs. Our Digital Graph is updated weekly, ensuring the data is always fresh and addressable. This persistent linkage of individuals and households to their identifiers and devices means your campaigns are always targeting the right people. Connected offline and digital graphs for holistic insights: We connect offline and digital identities by following privacy-first best practices, such as preventing re-identification, to allow insights from the offline world to be used in the online world. This integrated approach, enriched with marketing data, gives you better insights, more addressable advertising, and the ability to engage customers across multiple devices while accurately measuring campaign impact. Transform challenges into opportunities The rise of the multi-ID landscape presents both challenges and opportunities for the advertising industry. We stand as the trusted partner to navigate this complexity, utilizing insights from the offline world to inform decisions in the online world, enabling personalized marketing and accurate attribution, and helping you achieve your current and future goals. Get started today Latest posts

The concept of the "hedged garden" is gaining traction in the AdTech space as a promising new approach. It offers a more controlled and protected environment for advertisers, reshaping how digital advertising operates. But what exactly is a hedged garden, and could it be the solution we've been looking for?  Let's dive into the details and explore its implications.

Originally appeared on Adweek The advertising industry is experiencing a significant shift resulting from Oracle's market exit. Over the years, Oracle’s advertising tools—built through key acquisitions like Crosswise, BlueKai, Datalogix, and Grapeshot—have become essential for many marketers, data providers, and platforms. With Oracle’s departure, stakeholders are left searching for reliable alternatives to maintain their data-driven strategies. While this transition may seem daunting, it presents a unique opportunity to reassess audience and identity solutions. With the growing importance of adaptability and interoperability, now is the perfect time for advertisers, agencies, publishers, and platforms to adopt future-focused strategies. Oracle’s legacy: A combination of acquisitions Oracle’s advertising business wasn’t a unified solution but a collection of acquired technologies. Crosswise provided a cross-device identity graph; BlueKai offered a robust data management platform (DMP); Datalogix specialized in offline purchase data; and Grapeshot was known for its contextual targeting. Together, these tools powered a comprehensive offering for advertisers, data providers, and platforms. Yet, much of Oracle’s advertising success stemmed from the external data it used. For example, many of Oracle’s automotive audiences relied heavily on third-party data, largely powered by Experian data. This means that while Oracle may no longer be an option, many of the services marketers depended on through Oracle are still available from Experian, ensuring continuity. What this means for advertisers and agencies For advertisers and agencies, Oracle’s exit means losing access to its syndicated audiences. Fortunately, this doesn’t have to cause a major disruption. As one of Oracle’s primary data providers, we've mapped Oracle’s audiences to our own, ensuring marketers can easily maintain their targeting strategies without losing performance or efficiency. With access to over 2,400 syndicated audiences across key verticals such as demographics, automotive, retail purchases, or financial data, advertisers can continue their campaigns with confidence and precision. What sets us apart? Powered by data ranked #1 in accuracy by Truthset, our audiences are built on reliable, offline, deterministic data — like name, address, phone number, and email. This means advertisers can be confident that they are reaching the right audiences across all channels. With our audiences available across 30+ ad platforms, including programmatic, TV, and social media, advertisers and agencies have easy access to keep their campaigns running. For advertisers that ran audience targeting using Grapeshot's Contextual Platform, our new Contextually-Indexed Audiences are a replacement built for the evolving digital media landscape. By combining the precision of audience targeting with the flexibility of contextual targeting, marketers get a privacy-safe, yet scalable way to target audiences that is not reliant on cookies or other user identifiers. Marketers can activate these audiences through leading demand-side platforms (DSPs) or through Audigent private marketplaces (PMPs).   A new opportunity for data providers Oracle’s marketplace has long been a crucial distribution channel for third-party data providers, particularly through BlueKai. With its closure, providers have an opportunity to explore new onboarding services and marketplaces that offer similar or even better reach and effectiveness. New alternative onboarding solutions are emerging, particularly in areas like TV and digital, ensuring that the loss of Oracle’s services does not leave a significant gap. These solutions are being built to overcome the challenges typically present with data onboarding -- complicated integration processes, limited ID matching capabilities, and opaque pricing structures. One such solution is Experian’s new Third-Party Onboarding.  What sets us apart? With our digital and offline identity capabilities embedded within this solution, data providers receive superior programmatic and connected TV (CTV) reach and addressability compared to the competition. The first data providers – Adentro, Kontext, L2, and Webbula – are already using this solution to increase the adoption of their audiences and maximize their revenue. Additionally, new marketplaces are emerging that aim to fill the void left by Oracle, offering distribution to key destinations and providing data providers with continued access to advertisers who require high-quality, third-party data. Platforms shift to new audience solutions Platforms that relied on Oracle for third-party data and audience onboarding are now facing challenges in maintaining their ability to target specific audiences. This could affect their inventory's attractiveness to buyers. However, we offer a seamless solution for platforms looking to replace Oracle’s capabilities. As one of Oracle’s primary data providers, we've already mapped Oracle’s audiences to our catalog of over 2,400 syndicated audiences. Platforms can continue providing precise audience targeting and ensure advertisers receive the performance that they demand. Additionally, Third-Party Onboarding builds upon the investment and infrastructure used to distribute our own audience segments, providing platforms with audiences from leading third-party data providers.  Moving forward: Embracing connectivity We're dedicated to powering data-driven advertising through connectivity. With best-in-class syndicated audiences, new Contextually-Indexed Audiences, and an easy-to-use Third-Party Onboarding solution, we're enabling advertisers, agencies, data providers, and ad platforms to improve their marketing operations. Oracle’s departure marks the end of one era, but it also opens the door to a future where collaboration, interoperability, and connectivity define the landscape. By choosing partners like us, advertisers, agencies, and platforms can ensure they remain agile, innovative, and well-equipped to thrive in this new era of data-driven marketing. Reach out to your account representative or our audience team for information about our comprehensive audience mapping and finding the right audiences for your campaigns. Download our audience lookbook to discover more about Experian’s audiences. Contact us Latest posts