
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

Ongoing signal loss is driving marketers, agencies, and platforms to turn to supply-side advertising. By using first-party data from publishers and platforms, supply-side advertising has the potential to deliver high-quality audience and context for more effective ad targeting. The supply-side refers to the publishers and platforms that sell advertising inventory. These companies have access to first-party data about their users, which can be used to target ads more effectively. By tapping into supply-side advertising, you can overcome the challenges of signal loss and target ads more effectively. To shed light on this topic, we hosted a panel discussion at Cannes, featuring industry leaders from Audigent, Captify, Newsweek, Pubmatic, Truthset, and Experian. In this blog post, we'll explore how partnerships between supply-side channels and publishers are working to enhance advertising opportunities while balancing the need for transparency and control in programmatic ad buying. Shift toward supply-side advertising Traditionally, the demand-side dominated the programmatic media buying chain due to an abundance of supply. However, with the emergence of finite data and its interpretation, collaboration between supply-side technology companies and publishers is required to redefine these economics. It's no longer sufficient for the demand-side to blindly negotiate prices based on limited knowledge. Marketers can still define their target audience, but effective communication is key. This presents an opportunity for premium journalistic outlets to guide the industry's understanding of how data from the supply-side impacts media buying economics in the future. "Supply-side technology partnerships with publishers are now in a position to shape the economics of programmatic media buying as there is a finite amount of data. It’s crucial for supply-side technology companies to collaborate with publishers to shape these new economics. This presents an opportunity for premium journalistic outlets to provide guidance on how data from the supply-side can affect the future of media buying." matthew papa, svp, business & corporate development, captify Democratizing data from the supply-side Cookies haven't brought significant benefits to premium publishers. They mainly serve to retarget users from sites like The Wall Street Journal to advertising sites. This approach primarily serves the purpose of generating revenue. The elimination of third-party cookies presents an opportunity for premium publishers to shift this dynamic. By using their knowledge of first-party audiences, and using identifiers like Experian's LUID, publishers can own and understand their audience data, which can then be modeled. Here’s how publishers can win Establishing a connection with consumers and emphasizing the value exchange is essential to building trust. Determining what incentives and benefits consumers find meaningful will be crucial in gaining their opt-in. With consumers The Apple tracking transparency initiative, specifically the deprecation of IDFA signals, had significant implications for mobile app developers. Overnight, opt-in rates plummeted, causing a drastic decline in iOS ad monetization. To combat this, developers focused on demonstrating the value exchange to consumers—better ad experiences and personalized content. By articulating the benefits over a couple of years, opt-in rates increased from 10-15% to 30-40%. The key takeaway is the need to effectively communicate the value exchange to consumers. With partners Trust plays a crucial role in planning your first-party data strategy. Publishers, advertisers, and data partners highly value their proprietary data. However, there are concerns about how it's used, mishandled, or leaked in the ecosystem. Building trust between partners is essential. It's important to work with trustworthy partners who are agnostic, committed to innovative solutions, and globally oriented. These partners can help navigate the complexities of laws and regulations. Choosing the right partners is crucial in a world where first-party data is a key asset. "Power is shifting toward brands that have strong relationships with customers and possess first-party data. As the ownership of customer data becomes more important, it is crucial to establish a first-party data strategy to better serve customers and adapt to changing market dynamics."chip russo, president, truthset Balance probabilistic and deterministic data Focus on building trust with consumers and collaborating with reliable companies to share data. However, it's important to remember that achieving a 100% opt-in rate is unlikely. The cookie, which has become omnipresent, requires us to shift our strategic thinking. We need to consider both deterministic and probabilistic approaches instead of viewing them as mutually exclusive. The landscape will be fragmented, with some consumers opting in and others not. "Probabilistic and predictive audience data holds immense potential. With the power of AI, we can expect enhanced performance and efficacy in media campaigns. At Audigent, we firmly believe that this data will outperform deterministic data, making it an integral part of our strategy." drew stein, ceo, audigent Premium content Trust plays a crucial role in leading to premium content. By placing trust in the best media brands, data, and technology partners, we can expect to see improvements in media, journalism, and advertising. This shift may have a direct impact on the long tail of free natural resources, making it more challenging for them to thrive. However, this change is ultimately beneficial since it promotes higher-quality media experiences overall. "The homepage surface is making a comeback in the publishing industry, proving its value in establishing a direct connection with readers. While we acknowledge the importance of technology partnerships for addressability and identity, our core competency as a publisher remains outstanding journalism that captures and engages great audiences." kevin gentzel, cco, newsweek Watch our Cannes panel for more on supply-side advertising We hosted a panel in Cannes that covered supply-side advertising. Check out the full recording below to hear what leaders from Audigent, Captify, Newsweek, Pubmatic, Truthset, and Experian had to say. Watch now Check out more Cannes content: Our key takeaways from Cannes Lions 2023 Insights from a first-time attendee Four new marketing strategies for 2023 Exploring the opportunities in streaming TV advertising The future of identity in cookieless advertising Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. Contact us today Latest posts

The digital advertising landscape has undergone a seismic shift in recent years. Privacy-conscious consumers, transformative regulations, and emerging technologies are converging to redefine how addressability — the ability to accurately reach a specific audience — functions in this new era. Addressability is a cornerstone of digital advertising, and its evolution presents both challenges and opportunities for publishers and advertisers alike. The need for enhancing addressability is driven by a complex set of factors. More consumers are opting out of data sharing or disabling cookie-tracking, leading to a drastic reduction in the reach of traditional programmatic advertising. Nearly 70 percent of consumers are now unreachable through these conventional methods, creating an 'addressability gap' that publishers and advertisers are eager to bridge. The landscape is further complicated by privacy regulations such as General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), which mandate solutions that balance user privacy with advertisers' needs. Contributing to this intricate mix is the growing shift toward video and connected TV (CTV). These platforms have long operated in a cookie-less environment and are witnessing rising demand due to their engaging nature and broad reach. However, the attractiveness of these mediums to advertisers hinges on effective addressability, highlighting the urgent need for innovative audience identification and targeting methods. The emergence of data enablers and collaborative initiatives Data enablers like Experian are stepping up to meet this need. These companies are providing robust, privacy-compliant data resources to improve addressability. Experian's unique approach to identification, the Living Unit ID (LUID), is a key tool in bridging the current gap in reach. How Experian and Microsoft Advertising are redefining addressability We recently expanded our collaboration with Microsoft, to make our extensive data resources available through Microsoft Advertising’s data marketplace. This collaborative initiative represents a significant move, offering a compelling model of how data enablers and buy-side and sell-side platforms can work together to redefine addressability. The benefits of this arrangement extend to all stakeholders in the ecosystem. Advertisers using Microsoft Invest can now access Experian's audience data. This not only enhances the granularity of their audience targeting but also broadens the reach of their campaigns. Experian's identity spine also serves as a robust framework to extend the value and reach of advertisers' first-party data. For publishers, the accessibility of Experian data on Microsoft Advertising’s data marketplace opens the door to greater addressability in their inventory, enabling them to offer advertisers more addressable impressions. This then amplifies the value of their inventory, potentially increasing their overall yield. For advertisers, this integration facilitates access to highly relevant audiences while simplifying campaign setup and respecting user privacy. We can help you carve a new path toward addressability In the ever-evolving landscape of digital advertising, such collaborative efforts are becoming critical to ensure that advertising remains effective for brands, profitable for publishers, and respectful of consumer privacy. This model of cooperation and innovation is essential to navigate the challenges of a privacy-centric, cookie-less world and unlock the true potential of every media channel. With collaborative initiatives and innovative solutions, the industry is set to transform these challenges into opportunities, carving a new path toward addressability that respects privacy and delivers value for all stakeholders. Connect with us to learn more about how you can access our data in Microsoft Advertising’s data marketplace. To learn more about our partner Microsoft Advertising, visit their website. Contact us Latest posts

The cookieless future is here, and it's time to start thinking about how you will adapt your strategies to this new reality. In a cookieless world, you will need to find new ways to identify and track users across devices. This will require reliance on first-party data, contextual advertising, and alternative identifiers that respect user privacy. To shed light on this topic, we hosted a panel discussion at Cannes, featuring industry leaders from Cint, Direct Digital Holdings, the IAB, MiQ, Tatari, and Experian. In this blog post, we'll explore the future of identity in cookieless advertising. We'll discuss the challenges and opportunities that this new era presents, and we'll offer our tips for how to stay ahead of the curve. How cookieless advertising is evolving Programmatic advertising is experiencing multiple changes. Let's dive into three key things you should know. Cookie deprecation One significant change is cookie deprecation, which has implications for tracking and targeting. Additionally, understanding the concept of Return on Advertising Spend (ROAS) is becoming increasingly crucial. The demand and supply-side are coming closer together Demand-side platforms (DSPs) and supply-side platforms (SSPs) have traditionally been seen as two separate entities. DSPs are used by advertisers to buy ad space, while SSPs are used by publishers to sell ad space. However, in recent years, there has been a trend toward the two sides coming closer together. This is due to three key factors: The rise of header bidding Header bidding is a process where publishers sell their ad space to multiple buyers in a single auction. This allows publishers to get the best possible price for their ad space, and it also allows advertisers to target their ads more effectively. Cookie deprecation As third-party cookies are phased out, advertisers need to find new ways to track users, and they are turning to SSPs for help. SSPs can provide advertisers with data about users, such as their demographics and interests. This data can be used to target ads more effectively. The increasing importance of data Advertisers are increasingly looking for ways to target their ads more effectively, and they need data to do this. SSPs have access to a wealth of user data, and they're willing to share this data with advertisers. This is helping to bridge the gap between the two sides. The trend toward the demand-side and supply-side coming closer together is good news for advertisers and publishers. It means that they can work together to deliver more relevant ads to their users. Measuring and tracking diverse types of media The media measurement landscape is rapidly evolving to accommodate new types of media, such as digital out-of-home (DOOH). With ad inventory expanding comes the challenge of establishing identities and connecting them with what advertisers and agencies want to track. Measurement providers are now being asked to accurately capture instances when individuals are exposed to advertisements at a bus stop in New York City, for example, and tracking their journey and purchase decisions, such as buying a Pepsi. To navigate cookieless advertising and measurement, we must prioritize building a strong foundational identity framework. What you should focus on in a cookieless advertising era In a cookieless advertising era, you will need to focus on two key things: frequency capping and authentic identity. Frequency capping Frequency capping is a practice of limiting the number of times an ad is shown to a user. This is important in cookieless advertising because it helps to prevent users from being bombarded with ads. It also helps to ensure that ads are more effective, as users are less likely to ignore or click on ads that they have seen too many times. Frequency capping is often overhyped and yet overlooked. Instead of solely focusing on frequency, consider approaching it from an identity perspective. One solution could be to achieve a perfect balance between reaching a wider audience and avoiding excessive repetition. By increasing reach in every programmatic buy, you naturally mitigate frequency control concerns. Authentic identity The need for authentic identities in a digital and programmatic ecosystem is undeniable. While we explore ways to connect cookies, mobile ads, and other elements, it's crucial to remember who we are as real individuals. By using anonymized personal identifying information (PII) as a foundation, we can derive insights about households and individuals and set effective frequency caps across different channels. Don't solely focus on devices and behaviors in your cookieless advertising strategy and remember the true value of people and their identities. What’s next for cookieless advertising? The deprecation of third-party cookies is a major challenge for the digital advertising industry. Advertisers will need to find new ways to track users and target their ads. Here are three specific trends that we can expect to see in cookieless advertising. First-party data is moving in-house Many major media companies, equipped with valuable identifier and first-party data, are choosing to bring it in-house. They are focused on using their data internally rather than sharing it externally. "Many larger media companies are opting to bring their identifier and first-party data in-house, creating more walled gardens. It seems that companies are prioritizing data control within their own walls instead of sharing it externally."laura manning, svp, measurement, cint Fragmentation will continue The number of identifiers used to track people online is growing rapidly. In an average household, over a 60-day period, there are 22 different identifiers present. This number is only going to increase as we move away from cookies and toward other identifiers. This fragmentation makes it difficult to track people accurately and deliver targeted advertising. This means that we need new identity solutions that can help make sense of these new identifiers and provide a more accurate view of people. A portfolio of solutions will address signal loss Advertisers are taking a variety of approaches to cookieless advertising. A few of the solutions include: Working with alternative IDs. This refers to using alternative identifiers to cookies, such as mobile device IDs or email addresses. These identifiers can be used to track people across different websites and devices, even without cookies. Working with data index at a geo level. This refers to using data from a third-party provider to get a better understanding of people's location. This information can be used to target ads more effectively. Working with publisher first-party data that's been aggregated to a cohort level. This refers to using data that is collected directly from publishers, such as website traffic data or purchase history. This data can be used to create more personalized ads. Working with contextual solutions. This refers to using contextual data, such as the content of a website or the weather, to target ads. This can help to ensure that ads are relevant to the user's interests. "Cookie deprecation is often exaggerated, and alternate solutions are already emerging. As data moves closer to publishers and first-party data gains prominence, the industry will adapt to the changes."mark walker, ceo, direct digital holdings There is no one-size-fits-all solution for cookies, and you will need to be flexible and adopt a variety of different approaches. How will these solutions work together? You can take a waterfall approach to cookieless advertising. A waterfall approach is a process where advertisers bid on ad impressions in sequential order. The first advertiser to meet the minimum bid price wins the impression. In the context of cookieless advertising, a waterfall approach can be used to prioritize different targeting signals. For example, you might start by bidding on impressions that have a Ramp ID, then move on to impressions that have a geo-contextual signal, and finally bid on impressions that have no signal at all. This is a flexible approach that can be adapted to different needs and budgets. Watch our Cannes panel for more on cookieless advertising We hosted a panel in Cannes that covered the future of identity in cookieless advertising. Check out the full recording below to hear what leaders from Cint, Direct Digital Holdings, the IAB, MiQ, Tatari, and Experian had to say. Watch now Check out more Cannes content: Our key takeaways from Cannes Lions 2023 Insights from a first-time attendee Four new marketing strategies for 2023 Exploring the opportunities in streaming TV advertising Maximize ad targeting with supply-side advertising Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. Get in touch Latest posts