Experian is excited to announce a solution tailored for retail media networks (RMNs). This offering enhances RMNs’ strength in first-party shopper data by using Experian’s #1 ranked identity and audience services. Experian’s solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue.
Helping RMNs maximize revenue with audience and identity solutions
As traditional brands continue to harness their rich first-party data, retail media has exploded as a new category for marketers to reach high-value audiences. Understanding the challenges RMNs face – such as expanded audience insights, cross-platform reach, and programmatic addressability – Experian’s solution transforms these challenges into lucrative opportunities. By partnering with Experian, RMNs will learn more about their customers, reach their customers beyond their owned and operated platforms, and show return on ad spend (ROAS) as customers move from ad exposure through to purchase.
Solutions to drive growth
As retail media continues to evolve with new players entering the space and existing players strengthening their positions, success depends on having a comprehensive understanding of your customers and effectively monetizing that knowledge. Experian’s solution – from identity and audience foundations to scaling inventory – offers several benefits to help RMNs grow their revenue:
- Identity resolution: While every RMN has a unique set of authenticated first-party data captured offline (e.g. personally identifiable information) or online, it only provides the RMN with a handshake tied to a subset of that customer or household’s addressable identity footprint. By partnering with Experian, RMNs will better understand their customers across the offline and digital worlds by utilizing the Experian Graph and our connection to 126 million households, 250 million individuals, and 3.8 billion digital IDs.
- Expanded insights: In addition to ensuring your data is clean and accurate, we can build detailed customer profile reports that help RMNs understand their customers beyond category buyers or purchase history. With actionable insights at your fingertips to enrich your customer profile, you can help advertisers precisely reach both your high-value customers and build accurate look-a-like audiences across both offline and digital channels.
- Create audiences: Enrich your first-party data with Experian Marketing Data – or our expanded network of Partner Audiences – to build custom segments for your advertisers to target. With over 5,000 marketing attributes, RMNs can offer advertisers the ability to go beyond category buyers and fill in any gaps on your customers, such as demographics, media preferences, and behavioral attributes.
- Maximize reach and distribution: Experian’s recent Third-Party Onboarding release empowers RMNs to easily move their audiences from their owned and operated platforms and into programmatic, TV, and social channels. This helps unlock the monetization of their audiences through Experian’s network of over 20 platforms, including The Trade Desk, Magnite, and others. With our self-service platform, native integrations, simple pricing, and best-in-class customer service, it is an “easy button” to extend the reach of your audiences and drive more revenue.
- Demonstrate success: Prove your network’s value with third-party measurement validation that you can promote to advertisers to drive increased spending. Experian’s Activity Feed solution helps you measure performance – and understand how ads impact shopping behavior – by providing you with data to connect ad exposures in one environment (e.g., web or connected TV) to an action in another (e.g., digital or in-store purchase).
Case study: How Experian enhanced addressability for a leading RMN
One of the leading retail media networks has been working with Experian since 2021 to help understand their customers, organize and expand their rich first-party shopper data, and activate across the digital ecosystem. Ahead of recent changes in digital addressability and privacy, Experian helped this RMN not be overly reliant on third-party cookies and anchored its first-party shopper data to more stable digital IDs like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and Unified I.D. 2.0 (UID2).
The results show that the addressability of their first-party shopper data increased by almost 300% across their owned and operated platforms and programmatic activation channels. The byproduct of expanded addressability is the persistence in reach and measurement of their audiences throughout the entire consumer journey.
“Accurate data is the backbone of effective retail media strategies, and Experian’s top-tier data solutions are critical for precise targeting and audience delivery. Experian’s advanced capabilities in data onboarding, customer audiences, and robust identity graphs allow advertisers to seamlessly reach the right audiences.”
Art Sebastian, CEO, NexChapter Inc.
The Experian edge
Experian powers data-driven advertising through connectivity. Here’s what sets us apart and ensures that your RMN is set up to win in this highly competitive and complex space:
- Persistent identity: We can help you find and reach your customers across the digital and offline world. Our deep understanding of people in the offline and digital worlds provides you with a persistent linkage of PII data and digital identifiers, ensuring you rich insights, accurate targeting across devices, improved addressability and measurable advertising.
- High-quality data: Better understand your customer’s behavioral and demographic attributes with our #1 ranked data covering 126 million households, 250 million individuals, and 3.8 billion digital IDs. We will make sure your data is clean, accurate, and can be used how you want.
- Superior connectivity: We bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing our integrations across the ecosystem, and using our marketing data flexibly. Compared to the competition, Experian’s Third-Party Onboarding capabilities offer data providers a 50% increase in programmatic addressability and a 73% increase in CTV addressability.
Partner with Experian to achieve retail media success
Experian’s comprehensive data and identity solutions can help RMNs maximize their opportunity. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance.
Connect with a member of our team to learn how we can support your journey toward RMN success.
Latest posts
To our valued customers and partners,It’s been an exciting week here at Tapad! As announced in a press release this morning, Tapad is now a member of the Experian family. We’re thrilled to continue to grow as a leader in identity resolution under the umbrella of a global expert in data, analytics and technology. Tapad and Experian are deeply connected by our commitment to serving the needs of our customers; and with a focus on quality of the data we provide, we have a common goal for the future of identity in the advertising ecosystem. As part of this announcement, we wanted to assure you, our valued customer, that we remain deeply committed to serving you today just as we always have. Nothing will change in your daily operations with Tapad. Experian immediately recognized that the success and growth of Tapad was directly tied to the strength and depth of its team members. As such, the acquisition will not result in any changes to day-to-day contacts at Tapad, or processes with weekly graph deliveries and other product support. Experian’s faith and investment in Tapad’s future and the future of identity resolution underscores what we’ve always believed our products could achieve and that we will be able to continue serving brands, advertisers, publishers, and the advertising and marketing ecosystem for years to come. On a personal note, I am excited to be transitioning my role as Chief Operating Officer of Tapad to the General Manager position of a global business that’s achieved exponential growth over the past several years; culminating in this strategic acquisition that will no doubt bring even more value to our customers in the future. We remain committed to open communication and welcome any questions you may have. Thank you, Mark Connon | General Manager, Tapad
Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. Let's get to work, together At Tapad, we provide actionable insights for marketers to deliver better ad experiences to their consumers through identity resolution. Interested in learning more? Contact us today at sales@tapad.com for a more personal conversation about your identity strategy. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020
For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!