Why context is key to making AI successful in marketing

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. Walled gardens vs. the open web Walled gardens continue to disrupt the advertising industry to stay relevant. Google, Meta (Facebook), and Amazon, the largest walled gardens, offer consumer privacy and rich first-party data to advertisers. But, time spent within these platforms, Google and Meta specifically, continues to decrease. Open web: Pros and cons On the other hand, the open web allows for more transparency, scale, and constant diversification. Yet, this has not led to increased spending. As a result, the open web continues to lag behind walled gardens. With a heavy reliance on third-party data and growing concerns over signal loss, the open web faces significant challenges. Under these circumstances, advertisers turn to easy activation channels like walled gardens, even as they become less effective to marketers.  Consumers are increasingly focused on privacy, pushing the industry toward alternatives to third-party cookies. As Google rethinks its cookie deprecation plans, channels like connected TV (CTV) and mobile apps, which don't rely on cookies, are gaining traction.  “A significant portion of web traffic does not support cookies today — and that number will grow as Google rolls out [its] new solution. This means that the industry shouldn't slow down investments in cookieless solutions, including alternative IDs, first-party data and data-driven contextual targeting.”kimberly gilberti, general manager, experian This shift emphasizes first-party data and user choice as a potential solution that balances privacy with effective advertising sources. Enter the hedged garden So, what is a hedged garden? The “hedged garden” is a new industry concept where a network of publishers works together to activate first-party data sets in a privacy-compliant way across many partners at scale. These publishers run their businesses with large amounts of first-party consumer data. But they are not big enough on their own. What does a hedged garden look like? Hedges are more permeable and not as tall as walls. This idea is key to the success of the hedged garden. Data protection and privacy regulations As hedged gardens grow, staying compliant with privacy laws like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) is vital. These rules focus on protecting user data by requiring clear consent and transparency. Hedged gardens help publishers share first-party data in a safe, privacy-compliant way.  By working together, they ensure data is used responsibly, aligning with strict privacy regulations. This not only keeps marketers compliant but also builds trust with consumers at a time when data protection is more important than ever. Opportunities for marketers in hedged gardens Hedged gardens offer unique opportunities for marketers to enhance their strategies. Unlike walled gardens, hedged gardens offer the ability to work with a wider array of data sources and provide more diverse insights into audience behavior. This flexibility lets marketers develop more tailored, cross-platform campaigns that reach users in different ways.  Additionally, hedge gardens encourage collaboration with multiple partners, allowing for new partnerships and innovative strategies. With data from several sources, marketers can create more precise and privacy-compliant targeting methods to deliver better results. With the right approach, hedged gardens give marketers the freedom to break away from restrictive ecosystems and drive creative and impactful growth.  How Experian navigates through hedged gardens As our ecosystem moves toward a hedged garden solution, how do we get involved? We are already a key ingredient for this type of solution within the TV landscape. Below, we walk through how we partner with one of our current TV media clients.   Organize our client’s data and provide a Living Unit ID (LUID) First, we work with our client to clean and enhance their data, matching individual personal identifiable information (PII), such as an email address, to a household through a LUID. Our Digital Graph, which includes hashed emails (HEMs), cookies, mobile ad IDs (MAIDs), IPs, universal IDs, and CTV IDs, is rebuilt weekly to create accurate, refreshed connections. This consistent linkage creates precise targeting and measurement over time.  Our interconnected Offline and Digital Graphs organize identity into households and devices, enriched with marketing data for deeper insights and better addressability. With partnerships across major platforms, we improve match rates, helping you activate audiences seamlessly for optimal reach and measurement.  Enrich data through Experian Marketing Data Next, our TV media client licenses our Marketing Attributes. This data is the most comprehensive resource for both traditional and digital marketing campaigns. With its multi-channel availability and addressable capabilities, our Marketing Attributes allow our clients to develop insights and build audiences based on a wide range of attributes within their segment set, ensuring they reach relevant audiences across all channels. Activate audiences across the ecosystem Finally, we help our client execute their audiences across the full digital and TV ecosystem. We enable the connection that allows these audiences to be activated by matching partner LUIDs (example: LUID123 =  LUIDABC). By using client-specific LUIDs to match up data in a privacy-first manner, we can continue to build strong partnerships within the fast-growing ecosystem. Are hedged gardens the future of advertising? Have we found the perfect bridge between walled gardens and the open web? We’re hedging our bets. Our vote is yes, but only time will tell.  The future of advertising is shifting, and hedged gardens appear to be a promising model that balances the scale of walled gardens with the flexibility of the open web. We’re using what we learned from the TV industry to support other hedged garden verticals (retail media networks, audio, and gaming). Now that we know what a hedged garden is, we should consider what the future holds for both walled and hedged gardens.  What’s next for walled gardens  Increased privacy regulations: Walled gardens will face stricter regulations on data use, pushing them to adapt for compliance and trust. Reduced market dominance: As advertisers want more control, reliance on walled gardens could decline, shifting focus to hedged gardens. Diversified ad spend: Brands may spread their budgets across multiple platforms instead of being locked into walled gardens. The future of hedged gardens  Greater industry collaboration: Expect more publishers and platforms to join forces in hedged gardens for better data activation. Expansion into new channels: Hedged gardens will expand into emerging channels like gaming and connected devices. Improved data integration: Privacy-first data sharing in hedged gardens will lead to smoother, more secure ad targeting. Data collaboration in a post-cookie world As signal loss becomes a growing concern, the need for secure, privacy-first data collaboration will rise. Hedged gardens offer a pathway forward, allowing advertisers to activate first-party data across multiple partners while complying with data regulations.  This is where Experian Collaboration shines. By enabling data sharing without exposing raw consumer data, clients and partners can collaborate at Experian in their own environment or in clean rooms. Each of these environments allows partners to exchange data and gain insights without compromising privacy. Maximize your advertising reach with Experian As the advertising landscape changes, one thing remains clear: successful campaigns will require flexible, privacy-first solutions. At Experian, we are at the forefront of this shift. With our data expertise and advanced collaboration solutions, we’re here to help you navigate through both walled and hedged gardens to maximize your advertising reach. Together, we can navigate across the walled and hedged garden ecosystems. Contact us to learn how. Contact us Latest posts