Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
Latest posts
This holiday shopping season, marketers will look to take advantage of the surge in spending across channels like connected TV (CTV), programmatic, and mobile. Despite challenges such as privacy regulations and Google's new cookie deprecation plan, this moment presents a unique opportunity for marketers to reshape their traditional approaches to consumer engagement and capitalize on these changes. As we approach the holiday season, understanding how consumers spend, where they shop, and how their shopping habits are changing are key components to consider when crafting your holiday advertising campaigns. Our 2024 Holiday spending trends and insights report utilizes our expertise in data and insights to highlight emerging consumer behaviors and spending patterns. In our report, we share what these trends mean for marketers and how Experian can help, so you can refine your messaging and target the right audience through the best channels. In this blog post, we cover three insights from our report. Watch our video for a recap below. 1. Consumers are shopping evenly throughout the holiday season 35% of holiday shopping was done in December, peaking at 9% of total holiday sales the week before Christmas. Cyber Week, the five-day period between Thanksgiving and Cyber Monday, and the week before Christmas brought the highest weekly sales for the past two holiday seasons. What this means for marketers Prepare for an extended promotional period. Schedule your marketing campaigns and sales initiatives to maximize impact during the extended season, focusing on the peaks of Cyber Week and the week before Christmas. How Experian can help you target these shoppers Experian's data, ranked #1 in accuracy by Truthset, offers advertisers the ability to reach people based on demographic, geographic, and behavioral attributes (e.g. websites visited and purchase history). Our audiences are available on-the-shelf of most major platforms, making it easy for you to activate and target holiday shoppers. We recently released 19 new holiday-focused audience segments. Here are a few you can activate: Black Friday Shoppers Cyber Monday Shoppers Big Box/Club Store Shoppers Luxury Gift Shoppers Discount Holiday Shoppers Holiday Airline Travel 2. Online shopping is leveling out Online holiday spending continues to remain around a third of all holiday shopping spending. We are starting to see online shopping slow and level out – people are going back in-store. The high amount of online shopping we saw during the pandemic is starting to return to pre-pandemic behaviors. Consumers are spending more in-store at department and discount stores but are shopping online for office/electronics/games, mass retailers, and apparel. 84% of holiday shopping was done in-store for discount stores. 79% of holiday shopping was done in-store for department stores. 64% of holiday shopping was done online for office, electronics, and games stores. What this means for marketers Digital and physical experiences work together. Retailers should have a multi-channel plan to reach consumers, tailoring their approach to their target audience and product and creating engaging in-store experiences to drive visitors. How Experian can help you target and measure across channels We connect online and offline data to enable precise targeting and measurement of marketing efforts across multiple channels. Read our case study with Cuebiq to learn how they used our Activity Feed solution to deliver in-store lift analyses to their clients. 3. CTV is the top channel to reach consumers Over two-thirds of the U.S. population now use CTV, and the average time spent among adults is expected to surpass two hours per day in 2024. CTV offers a creative ad experience similar to its linear counterpart but provides more sophisticated targeting and analytics capabilities. What this means for marketers As CTV viewing continues to dominate, the importance of cross-device targeting and measurement increases. How Experian can help you reach shoppers across devices Later this year, we’ll add support for IPv6 in our Digital Graph as well as phone-based UID2s. This is in addition to our current coverage of IPv4 and email-based UID2s. As a result, all IP signals and UID2s will be resolved back to Experian’s household and individual profiles and their associated devices, which means marketers and platforms can better understand the full customer journey and reach people across their devices. Download our 2024 Holiday spending trends and insights report This holiday season is about more than just transactions – it’s about cultivating meaningful connections with your audience. Download our 2024 Holiday spending trends and insights report to access all of our predictions for this year's holiday season. Download now When you work with Experian for your holiday shopping campaigns, you're getting: Accurate consumer insights: Better understand your customers' behavioral and demographic attributes with our #1 ranked data covering the full U.S. population. Signal-agnostic identity solutions: Our deep understanding of people in the offline and digital worlds provides you a persistent linkage of personally identifiable information (PII) data and digital IDs, ensuring you accurate cross-device targeting, addressability and measurement. Secure connectivity: Bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing the integrations we have across the ecosystem, and using our marketing data in flexible ways. Make the most of this holiday shopping season with Experian. Contact us today to get started. Contact us Latest posts
In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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. Connect with us Latest posts