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.
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Ditch the cookie, not the data with the next evolution of contextual targeting Today, we're excited to announce Contextually-Indexed Audiences, a game-changer in contextual targeting. Experian’s new solution offers advertisers a powerful, privacy-safe solution that combines the precision of deterministic audience targeting with the flexibility of contextual targeting. Powered by real-time analysis from two million websites, access to 1,400 trusted audience segments, and easy activation through the top demand-side platform’s contextual marketplace or Audigent private marketplaces (PMPs), this solution offers advertisers a scalable way to reach their target consumers. With this solution, advertisers can reach consumers on websites that over-index for visitors with the demographics, behaviors, or interests, they are looking to target. For example, an automotive brand can select Experian’s “Contextually-indexed in-market for a luxury electric car” audience segment and reach consumers when they are browsing websites that often attract that exact segment. Best of all, this is done in a privacy-safe way since it’s not reliant on cookies, mobile ad IDs (MAIDs) or other user identifiers. How Contextually-Indexed Audiences work Contextually-Indexed Audiences harness advanced machine learning technology to move beyond traditional keyword-based strategies. The solution works in three steps: First, it analyzes traffic from over two million websites and mobile apps to identify the types of frequent visitors to those platforms. Next, using Experian’s Digital Graph, it resolves the identities of those visitors and maps them to more than 1,400 of Experian’s Syndicated Audiences, determining which audiences are most overrepresented on each site. Finally, the relevant audiences are assigned to those sites, allowing advertisers to deliver ads to people in those audiences while they are actively browsing the websites — without relying on user identifiers. Customer success story A leading auto manufacturer was among the first clients to activate this new solution while we were in beta. The goal was to identify new contextual targeting solutions that focus on privacy while maintaining scale and performance. The client identified two key target audiences: first-time vehicle buyers and experienced buyers. The initial campaigns using this new solution were highly successful. Even as the campaign scaled to twice the original volume, it continued to deliver three times the targeted click-through rate (CTR) goal. “Partnering with industry leaders like Experian, we're pushing the boundaries of contextual targeting with innovative data strategies that offer buyers greater flexibility and improved performance. These advanced contextual solutions are exciting as they not only drive results but also have the same privacy safeguards as traditional contextual targeting.”Matt Griffith, CTO & Co-Founder, Audigent Benefits of Contextually-Indexed Audiences Accurate consumer reach: Real-time integrations with over two million websites and apps coupled with machine-learning indexing technology ensure audience segments are constantly refreshed, which means advertisers reach consumers based on their latest habits. Privacy-safe audience targeting: These audiences are not reliant on cookies or any other user identifiers for targeting. Audience customization: Create the right audience segment for your campaign by using a combination of over 1,400 audiences across 12 data categories like demographics, politics, health, travel, finance, and TV. Flexible activation: Activate these audiences instantly in the top demand-side platform’s contextual marketplace or utilize our partnership with Audigent to create a custom private marketplace (PMP), where they can be activated across any media buying platform. When using a PMP, advertisers benefit from additional performance optimization capabilities. Experian’s Contextually-Indexed Audiences offer advertisers a powerful solution that combines the precision of audience targeting with the flexibility of contextual targeting. With real-time analysis of over two million sites and access to 1,400 trusted audience segments, advertisers can reach consumers based on their exact behaviors and interests. This is done in a privacy-safe, yet scalable way since it’s not reliant on cookies or other user identifiers. Whether activating instantly through the top demand-side platform or customizing through Audigent PMPs, this is the future of audience targeting. Ditch the cookie, not the data, and elevate your strategy today. Contact us Latest posts
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As Oracle exits the advertising space, we understand that this may present a challenge. Experian is here to support you with a seamless transition in your audience targeting. As one of Oracle’s primary data providers that powered their audiences, we’ve mapped Oracle audiences to Experian audiences, helping you to switch your audience targeting with no impact on your campaign’s performance. In this blog post, we highlight four audience categories that we know marketers are actively seeking to replace and target: auto, restaurants, lifestyle and interests, and demographics. Experian’s approach to best-in-class audience targeting 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. Experian’s audience solutions are rooted in offline, deterministic data — like name, address, phone number, and email — that rarely changes. Our deep understanding of people in the offline and digital worlds provides marketers a persistent linkage of known offline data and digital identifiers, which means you get accurate and consistent audience targeting across all channels. Auto, Cars, and Trucks As the premier auto partner contributing to Oracle auto segments, Experian can help you reach and target consumers based on their known and predictive auto shopping behaviors. Experian’s auto audiences are built utilizing insight from our North American Vehicle Database℠ and other data attributes from Experian Marketing Data to provide highly accurate audiences for digital and TV advertising. Unlike some of our competitors who are also positioning themselves as a replacement audience provider, Experian owns all our Vehicle, Consumer, and summarized Credit data under one umbrella and refreshes our audiences every 30 days. This ensures tighter audience composition, superior data hygiene, and best in-class data fidelity, which means you get to target the most accurate audiences. With over 750 syndicated audiences segmented by make, model, price, vehicle age, fuel type, and more, our data is accessible through Experian’s distribution power across all platforms — digital, TV, programmatic, and social — allowing activation wherever our partners need it. 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Here are five of the most popular Experian audiences that align with Oracle's lifestyle and interest audiences: Audience by OracleExperian audienceAudiences by Oracle > Hobbies and Interests (Affinity) > Pets > DogsLifestyle and Interests (Affinity) > Pets > Dog OwnersAudiences by Oracle > Hobbies and Interests (Affinity) > Pets > CatsLifestyle and Interests (Affinity) > Pets > Cat OwnersAudiences by Oracle > Hobbies and Interests (Affinity) > Health and Fitness > ExerciseLifestyle and Interests (Affinity) > Health & Fitness > Fitness EnthusiastOracle DLX (Datalogix) > DLX Finance > InvestorsLifestyle and Interests (Affinity) > Investors > Active InvestorAudiences by Oracle > Lifestyles > Merchant Category Audiences > Sports LoversLifestyle and Interests (Affinity) > Sports and Recreation > Sports Enthusiast Demographics Experian’s demographic data allows marketers to tap into the accurate data from Experian Marketing Data to refine audiences to meet a brand’s target persona. Our demographic audiences deliver insight into age, gender, income, and household attributes such as home ownership, presence of children in the household, and length of residence. Based on customer feedback, we have expanded our range of age-based audience segments. These new segments cover various adult age groups and gender distinctions (e.g., Adult Females 18-39, Adult Males 35-54). Here are seven of the most popular Experian audiences that align with Oracle's demographic audiences: Audience by Oracle Experian audienceAudiences by Oracle > Demographics > Validated Demographics > Household Income > HHI: $100,000+Demographics > Household Income (HHI) > $100,000+Audiences by Oracle > Real Estate and Home Property Services > Real Estate Attributes > Ownership > Home OwnersDemographics > Homeowners/Renters > HomeownerAudiences by Oracle > Demographics > Age Groups > Adults 25-54Demographics > Ages > 25-54Audiences by Oracle > Demographics > Gender > FemalesDemographics > Gender > FemaleAudiences by Oracle > Demographics > Validated Demographics > Age Groups > Adults 25-54 > Females 25-54Demographics > Ages > Female 25-54Audiences by Oracle > Demographics > Age Broad > Ages 40-49Demographics > Ages > 40-49Audiences by Oracle > Demographics > Validated Demographics > Age Broad > Ages 65+Demographics > Ages > 65+ Quick Service Restaurants (QSR) Here are six of the most popular Experian audiences that align with Oracle's QSR audiences: Audience by OracleExperian audienceAudiences by Oracle > Restaurants > Merchant Category Audiences > In Store QSR Fast Food Frequent SpendersRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR QSR Frequent SpendersAudiences by Oracle > Restaurants > Merchant Category Audiences > QSR Chicken Frequent SpendersRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Chicken Frequent SpendersAudiences by Oracle > Restaurants > Merchant Category Audiences > QSR Burgers Frequent SpendersRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Burger Frequent SpendersAudiences by Oracle > Restaurants > Cuisine Type > SandwichesRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Subs and Sandwich Frequent SpendersAudiences by Oracle > Restaurants > Dining Type > Casual DiningRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Casual Dining Frequent SpendersAudiences by Oracle > Restaurants > Dining Type > Coffee Shops and CafesRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Coffee Frequent Spenders Switch from Oracle to Experian audiences with ease Experian is here to make it easy for advertisers and agencies to find the right audience solutions after Oracle’s exit. By partnering with us, you work with a single data provider that offers access to a diverse range of audiences across multiple categories, including political and holiday shopping. Our audiences are available for activation on the leading demand, supply, social, and TV platforms. 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. Connect with our audience team Download our audience lookbook to discover more about Experian’s audiences. Contact us Latest posts