In this article…
Retail media networks (RMNs) are an exciting innovation within the advertising industry. A retail media network refers to an advertising platform that a retailer owns, providing marketers with the opportunity to buy advertising space on the retailer’s digital platforms as well as extend their reach offsite with key platforms the retailer has partnered with to open up their media buying to advertisers. The retailer uses first-party data and customer insights to create new advertising opportunities and connect with shoppers throughout their buying journey.
In this article, we’ll discuss the significant advances in retail media trends and technology — and their implications for the future of advertising.
Benefits of retail media for advertisers
Every online impression counts in the digital era, making retail media especially advantageous for advertisers. It yields new opportunities for advertisers to thrive, which we’ll discuss below.
Get access to first-party data
First-party data is a valuable asset for advertisers. Retail media networks offer advertisers direct access to customer insights from the retailer’s data vault, which helps them create highly personalized ad campaigns and connect with current and potential customers.
Custom marketing options for each brand
Retail media provides brands with various marketing options, from product listings to onsite display advertising. These options allow advertisers to customize their approach, deliver tailored messages to their target audience, and meet consumers where they are.
Reach new customers
Retail media networks empower advertisers to connect with new and existing customers using retailers’ extensive digital presence. These networks extend beyond a retailer’s own website and allow brands to tap into a broader audience base; major RMNs often have a significant offsite presence and provide advertisers with opportunities to reach consumers across various digital touchpoints and platforms beyond the retailer’s controlled environment. This reach enhances brand visibility, engages diverse audiences, and contributes to the growth of customer acquisition.
Closer proximity to purchase decisions
Another benefit of retail media is its ability to position brands closer to the point of purchase in the customer journey. Targeted, data-driven advertising strategically placed across various touchpoints enables retailers to influence consumers when they are already lower in the purchase funnel. This proximity increases the likelihood of faster purchase decisions, especially when complemented by strategies such as timely offers and retargeting, expediting the decision-making and conversion processes.
Consumers prefer personalized advertising
Research has shown that approximately 50% of consumers will spend more money with companies that personalize their e-commerce retail experience. Ads relevant to a consumer’s interests and aligned with their behaviors make shoppers more likely to engage with a brand and find it easier and more convenient. As retailers honor consumer preferences for personalized advertising, they’ll find it easier to align with consumer preferences and provide an improved shopping experience.
Retail media network use case: Experian’s impactful marketing attribution with a discount store giant
Experian’s past collaboration with a discount store giant involved implementing a comprehensive marketing attribution strategy. The primary goal was to effectively demonstrate brand campaign performance and optimize ad spend within the retail media network. We built a full-stack attribution solution that connected their offline and online data, and our approach was as follows:
- We started by collecting exposure data from all touchpoints, such as the website, app, and offsite display and social, to turn anonymous exposures into identified individuals and households.
- Additionally, we gathered debit and credit card transaction data from in-store and online points of sale to better understand purchase behavior. We also unveiled new demographic insights for the retailer.
- To streamline the decision-making process, we provided an easy-to-read reporting tool that showcased vital performance metrics.
Takeaways from the collaboration emphasized the importance of:
- Understanding the audience seeing the ads and those making purchases.
- Analyzing incremental lift and identifying insights or trends.
- Sharing these valuable insights across the organization and with advertisers to inform future campaigns and brand positioning.
Utilizing recent trends in the retail media landscape
This case study serves as a prime example of how recent retail media trends are shaping a data-centric, integrated, and insights-driven future for advertising in retail. Our marketing attribution strategy aligns with the industry’s shift toward data-driven decision-making in RMNs.
Today, retailers are adopting full-stack attribution solutions like ours, enabling them to connect offline and online data to understand customer interactions better. This reflects the trend of looking for a holistic view of customer journeys and highlights the importance of integrating diverse data sources to understand consumers comprehensively.
Moreover, our strategy to transform anonymous exposures into identified individuals, integrate transaction data, unveil new demographic insights, and provide an easy-to-read reporting tool mirrors the trends of enhanced personalization, merging online and offline data, and simplifying analytics within RMNs.
Using new retail media
Our introduction of a user-friendly reporting tool highlights the potential of new retail media to change how advertisers analyze data and gain actionable insights. It emphasizes the value of advanced tools in optimizing ad campaigns, measuring performance metrics, and informing future strategies. New technology will continue to drive effective marketing attribution and shape the future of retail advertising.
Kroger Precision Marketing’s newly announced platform
Kroger Precision Marketing (KPM) represents another excellent retail media use case. The retail media arm of the popular supermarket chain is looking to the future with the launch of its advertising platform. KPM is committed to innovation, and this move underscores its desire to be at the forefront of the retail media landscape. Let’s take a closer look at some of the essential features of this new platform.
In-house
KPM recently announced the launch of an in-house advertising platform — a significant shift from their previous practices, where they relied on external tools and systems for their retail media services. By bringing the ad technology in-house, KPM has greater control, flexibility, and the ability to align its platform precisely with its retail media goals. This decision enhances Kroger’s self-sufficiency and enables quicker adaptation to evolving market demands.
KPM’s new in-house platform was officially rolled out on October 13, 2023, and is redefining how advertisers interact with Kroger’s expansive base of consumers.
Easier for media buyers
KPM’s in-house platform is also focused on providing better tools for media buyers. The platform is designed to offer advanced automation and optimization capabilities that will make campaigns more efficient and data-driven. By using this platform, media buyers can easily reach the right audience, customize their messages, and fine-tune their campaigns — all in one place.
Integrated platform
KPM’s new platform will integrate with existing ad campaigns and eventually encompass all their retail media options. This interoperability makes migrating ongoing campaigns easy and minimizes disruptions to advertising efforts. In the long run, the platform will serve as the foundation for all KPM’s retail media services. Advertisers will have a one-stop solution for on-site and off-site media channels to ensure consistency and efficiency in retail media strategies.
KPM’s emerging retail media solutions demonstrate a commitment to advertisers and their changing needs in a shifting digital era.
Home Depot retail media
Home Depot, a well-known player in the home improvement retail industry, has made great strides in retail media. With an impressive annual customer transaction count of 1.7 billion and 3.6 billion visits to homedepot.com, their Retail Media+ platform provides advertisers with unparalleled visibility, reaching 198 million individual customers across 2,322 stores, according to their site. The benefits of Retail Media+ also include 24/7 self-service access to advertising portals, real-time reporting for campaign optimization, and dedicated support.
What Home Depot’s Retail Media+ does right
Home Depot’s Retail Media+ has set itself apart through strategic initiatives that prioritize enhancements to the shopper experience. Here’s a closer look at what makes Home Depot’s approach to RMN noteworthy:
- Seamless integration: Retail Media+ seamlessly integrates into the customer’s journey without disrupting their experience. The platform allows the delivery of targeted ads across various Home Depot-owned spaces, including the website, app, in-store, email, and offsite channels like social and video.
- Supplier-centric ad inventory: Home Depot allocates the majority of its RMN ad inventory to suppliers. This ensures the ads presented to customers align closely with the products available at Home Depot for a natural connection between onsite and in-store experiences.
- Customer-centric approach: Melanie Babcock, Vice President of Retail Media+ and Monetization at The Home Depot, emphasizes maintaining a customer-centric perspective. The goal is not merely to monetize the website but to enhance the customer journey by incorporating suppliers into the process. This approach contributes to a more personalized and relevant shopping experience.
- Exploration of offsite opportunities: Home Depot is actively exploring opportunities to expand its RM+ platform beyond onsite channels. Initiatives include piloting in-store video screens and venturing into connected TV (CTV). By considering the entire customer journey, Home Depot aims to provide value to suppliers while gaining deeper insights into customer behavior.
- Strategic use of data science: With the help of data scientists, Home Depot ensures personalized precision in its advertising efforts. This aligns with the shopper’s preferences and needs and makes the ads more relevant and engaging.
- Ongoing adaptation and expansion: Home Depot’s proactive stance is evident in its continuous efforts to adapt and expand its RMN initiatives. The exploration of offsite channels, partnerships with platforms like Roku and Disney Advertising, and the piloting of in-store video screens showcase a commitment to staying at the forefront of evolving digital retail trends.
Home Depot’s success with their RMN stems from its commitment to creating a symbiotic relationship between customers, suppliers, and the retail brand. Home Depot has set a benchmark for RMNs by aligning advertising efforts with the customer’s journey and embracing technological advancements.
Amazon retail media
Amazon Advertising, the retail media division of Amazon, has become another dominant force in the industry. Let’s take a quick look at what they’ve done well and what they could improve.
Scale of Amazon’s retail media
In 2022, eMarketer estimated that Amazon commanded a 76.9% share of retail digital media spend, blowing its competitors out of the water. Walmart, the second-largest player, trailed far behind with a 6.1% share. This underscores Amazon’s unparalleled influence and market presence in the digital advertising landscape and solidifies its position as the go-to platform for advertisers looking to reach a massive audience.
What works for Amazon
Amazon has an unmatched advantage when it comes to personalizing ads and delivering relevant content to consumers. With over 200 million Prime members in the U.S. alone, Amazon has access to vast amounts of valuable data that spans shopping habits, preferences, and more. This data is invaluable for advertisers looking to target their audiences with precision, and it gives Amazon a significant edge in the market.
What needs to change
Although Amazon continues to thrive, there’s always room for improvement. For instance, to attract brand dollars, traditional retailers are starting to concentrate on channels where Amazon has less historical dominance, such as in-store experiences and email marketing. Understanding this potential, Amazon has been experimenting with email tools to enhance merchant-audience connections and widen its reach. As ad sales’ profitability becomes more significant, incorporating these offerings into Amazon’s retail media strategy could further strengthen its market position.
Walmart retail media
Walmart has been working hard to become a more dominant retail media force. Walmart Connect, the retailer’s retail media network, has done an excellent job bridging the gap between online and in-store activities. It provides a unique closed-loop system that connects online and in-store activity on an unprecedented scale. This mechanism offers advertisers a comprehensive view of Walmart customers’ behavior, giving them valuable insights and measurable business results. With this closed-loop approach, advertisers can access a holistic view of customer activity and achieve successful marketing campaigns.
How Walmart ties together online and in-store activities
Walmart’s massive brick-and-mortar presence and its comprehensive online platform provide a complete view of customer behavior and preferences. This synergy between the digital and physical is a compelling selling point for advertisers that gives them a holistic view of consumer interactions. Walmart’s connected shopping experience integrates both online and in-store activities, allowing advertisers to engage with customers from the research stage to the online or in-store purchase stage of the buying journey.
New features and technology Walmart’s retail media platform is trying
As part of their innovative initiatives, Walmart Connect introduced the “Holiday Hub,” recognizing Walmart as America’s go-to holiday shopping destination. Advertisers can use this hub to gain key customer insights and implement product best practices to ensure a meaningful omnichannel connection during the holiday season.
In terms of new features and technology, Walmart Connect provides various advertising options to help brands stand out from the crowd:
- The Search feature ensures visibility when customers actively search for products, with ads appearing prominently in search results and on browse pages.
- Display ads, strategically placed on Walmart.com, the Walmart app, and across the web, aim to make a premium impression on customers based on their omnichannel Walmart history.
- For in-store influence, Walmart Connect offers opportunities to inspire shoppers through digital TV and point-of-purchase screens across 4,700+ Walmart stores.
- Walmart’s closed-loop measurement uniquely enables advertisers to correlate online ads with purchases, providing unparalleled scale and accuracy in measuring campaign impact.
Whether for a small business or a global brand, Walmart Connect offers solutions to help marketers discover new and effective ways to connect with their target audience.
The future of RMNs
The future of retail media networks (RMNs) is bright and holds exciting possibilities. These five key dynamics will likely drive retail media evolution:
Smaller retailers getting into the RMN game
With each passing day, more small brands are becoming active with RMNs. This trend is highly beneficial, bringing diversity, competition, expanded reach, and collaborative potential to the landscape. The future of RMNs is expected to be shaped by a mix of established and emerging brands. This will create an inclusive environment for advertisers and consumers alike.
Potential for cross-platform campaigns
Cross-platform campaigns in RMNs allow advertisers to create a cohesive, impactful, and data-driven advertising approach across different retail media networks. This shift in campaign strategy aligns with the dynamic nature of consumer interactions in the digital landscape, as it provides a comprehensive solution for brands that seek to enhance their presence and influence across diverse channels.
Targeted vs. personalized ads
Personalized ads are becoming a notable trend in RMNs and replacing targeted ads. This means RMNs now provide consumers with more relevant and tailored content based on their interests and preferences. The shift is driven by the increasing demand for personalization and the need to improve the consumer shopping experience. RMN advertisers must take advantage of these personalized ad opportunities to create stronger brand awareness.
Conversions vs. brand awareness
Advertisers often struggle when deciding whether to focus more on conversions or brand awareness. For a well-rounded strategy, RMN advertisers should craft campaigns that balance these two goals. Using the data and insights from RMNs, advertisers can personalize their messaging to drive sales and build and reinforce brand recognition. This approach can help RMN advertisers make brand awareness a central component of their advertising efforts.
Third-party data integration to enhance data and audiences
As RMNs evolve, data expansion is essential for targeted, personalized, and contextually relevant advertising experiences and will help drive the future success of retail media. Advertisers using third-party data, in particular, can unlock new dimensions in audience targeting to create more tailored and impactful campaigns. Third-party data allows for a broader understanding of customer behaviors and preferences and facilitates relevant content delivery.
Data insights for more connected, tailored advertising
Moving forward, it will also be important for advertisers to achieve a consistent view across online, app, and in-store activities. They need to understand where customers prefer to be reached and where they are most likely to engage so they can ensure a strategic alignment of messaging and optimize the effectiveness of their retail media strategies. The future of RMNs lies in using comprehensive data insights for more connected and personalized advertising.
What about AI? Where is it useful?
In the retail media context, AI (Artificial Intelligence) enhances advertisers’ capabilities by providing valuable insights and automation to drive more effective and personalized ad campaigns. AI helps analyze vast amounts of data, predict consumer behavior, and empower advertisers with the tools to optimize their strategies. Ultimately, it helps them deliver more tailored, relevant content to consumers that best aligns with their interests and preferences.
Humans still needed to drive change
While AI is a critical technology in retail media, it doesn’t replace the need for human expertise. People are still essential for driving change, making strategic decisions, and ensuring AI-driven solutions align with business objectives. Moving forward, advertisers will need to utilize both AI-driven capabilities and human expertise to see the greatest success.
A connected customer identity is the key to success
The future of advertising lies in the seamless integration of customer identity across various touchpoints. Experian’s cutting-edge solutions are leading the way in this transformation. We can help businesses navigate this dynamic environment with helpful tools that unlock a comprehensive view of audiences and facilitate effective campaigns across multiple channels.
Partner with Experian to achieve retail media success
Experian’s comprehensive data and identity solutions can help RMNs maximize their opportunity, with our new solution tailored to enhance RMNs’ strength in first-party shopper data. 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. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance.
Our Consumer Sync solutions can connect customers across multiple touchpoints and channels, specifically bridging the gap between online and in-store to ensure a holistic view and strategy for audiences, campaigns, and performance. With access to over 2,500 frequently updated data points, we have the depth and breadth of data needed to supplement your audience strategy. We’ll help you unlock a broad view of your audiences to see well-rounded profiles, gain the reach required to access your audience across multiple channels, and turn opportunities into revenue. Additionally, our Consumer View solutions can help deepen your understanding of your customers, their behaviors, and campaign success.
Connect with a member of our team today to get started.
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2023 has been an unprecedented year for AdTech. With new challenges arising every day — from ongoing signal loss to changing consumer privacy regulations– staying on top of trends is more important than ever before. To help you stay informed on successful tactics from across our ecosystem we’ve compiled a list of our top five 2023 AdTech blog posts. Keep reading to learn about the top themes from CES and Cannes this year, why contextual targeting is so popular, and more – so you can remain competitive in today's rapidly changing environment. #5 CES 2023: Clean rooms, activation, and more Experian attended CES in January to kick off the AdTech year, connecting with partners, clients, and industry leaders to understand their challenges and goals. Discussions were focused on clean rooms and digital activation to address data deprecation and consumer privacy. Clean rooms have the potential to standardize data and address interoperability issues. Digital activation was predicted to increase significantly in 2023, with more focus on demand-side, video, and supply-side platforms. Did digital activation increase in 2023? Download our 2024 Digital audience trends and predictions report to find out. Read our full 2023 CES recap here. Meet with the Experian team at CES 2024 CES is around the corner, and we are looking forward to the opportunity to connect with you in our suite at the Aria Hotel & Casino in Las Vegas, January 9-12. There is no better place to connect and discuss the latest industry trends and innovations. Let’s start the conversation! Book a meeting with our team #4 Experian identity resolution now available in AWS Clean Rooms Earlier this year, Experian announced that our identity resolution solution is now available in AWS Clean Rooms. Through this new partnership, customers can pair Experian's identity capabilities with AWS Clean Rooms to safely collaborate and access deeper insights without exposing sensitive data. Check out the full announcement to hear from Kalyani Koppisetti, Principal Partner Solution Architect at AWS, Matt Miller, Business Development Principal at AWS, and Tyler Middleton, Sr. Partner Marketing Manager at Experian. #3 Four key themes from Cannes Lions 2023 At Cannes Lions 2023, discussions revolved around four main themes: Signal loss: Experts discussed the importance of adapting paid media strategies to align with consumer behaviors. Collaboration: Discussions highlighted the need for industry players to collaborate and focus on solutions that benefit all stakeholders in the ecosystem. Personalization: This was a key topic and emphasized the growing significance of tailored content, data-driven insights, and first-party data solutions for advertisers adapting to cookie deprecation and the evolving consumer privacy landscape. Balancing AI and creativity: Attendees explored how to balance AI capabilities and nurture creativity while maintaining a human touch. Cannes 2024 will be here before we know it and Experian will be there. To get ready, check out this post by Tyler Middleton, Sr. Partner Marketing Manager, to hear from a first-time Cannes attendee, #2 Three key insights from our 2023 Holiday spending report Experian's annual Holiday spending trends and insights report analyzed recent trends, consumer spending habits, and anticipated what was to come in the 2023 holiday shopping season. This blog post covered three key insights from our report: Consumers are starting their holiday shopping earlier, particularly with online sales. Online sales have been increasing year-over-year, surpassing in-store sales. Spending during the 2022 holiday season was lower than in previous years but is expected to be on par with what was seen in 2023. For advice from our experts and access to all of our predictions for this year’s holiday shopping season, download our 2023 Holiday spending trends and insights report today. #1 How contextual ad targeting addresses signal loss Our most viewed blog post of 2023 was How contextual ad targeting addresses signal loss. Marketers are seeking new solutions due to signal loss caused by the phasing out of third-party cookies. Contextual ad targeting offers a way to combine contextual signals with machine learning for more accurate targeting. Experian's Jason Andersen and Yieldmo's Alex Johnston discuss the challenges of signal loss, addressability, the importance of good creative, and tips for digital ad success in this blog post. By understanding contextual advertising, marketers can create powerful and effective campaigns to reach target audiences. Subscribe to our newsletter Sign up for our email newsletter to receive our latest blog posts, product and partnership announcements, thought leadership, and more straight to your inbox. Subscribe Latest posts
In this article… Why AI and CTV are a great match The rising popularity of CTV How is AI already being used in CTV? Demand-side platforms Artificial intelligence (AI) and connected TV (CTV) have a perfect synergy that’s revolutionizing how advertisers connect with their audiences. CTV serves as a medium for streaming content, while AI acts as a sophisticated technology that improves the performance of CTV advertising campaigns. The integration of these two technologies has paved the way for advertisers to reach their target audience more effectively, making CTV advertising a powerful and efficient tool. In this blog post, we’ll dive into how these technologies work together — and why you should jump on board with AI for CTV advertising if you haven’t already. Why AI and CTV are a great match CTV and AI are transforming how advertisers connect with their audiences and improving the performance of their advertising campaigns in the CTV space. They work together to make advertising smarter and more enjoyable for everyone involved. AI uses sophisticated computer programs to analyze and understand data, while CTV refers to the streaming services that consumers use at home. But what makes them a great match in advertising? AI uses data to determine which TV ads are most exciting and relevant to certain people, and it can even adjust ads in real time to ensure viewers are always getting the most personalized experience. AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. To sum it up, AI allows for: Precise targeting: AI uses data to determine which TV ads are most exciting and relevant to certain people. Personalization: AI can adjust ads in real time to ensure viewers are always getting the most personalized experience. Effective ad insertion: AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. CTV facilitates these AI-driven strategies for enhanced user engagement and satisfaction. The rising popularity of CTV CTV has become increasingly popular as people change the way they watch TV. Instead of the traditional approach, more viewers are now choosing CTV platforms for their entertainment. One of the main reasons for this shift is that CTV offers greater flexibility and lets viewers watch content at their convenience. The ability to skip ads on many CTV platforms also improves the experience. CTV offers a great opportunity to interact with your target audience in a more engaging way. CTV allows for highly targeted advertising capabilities so you can reach specific demographics and households with tailored messages. Additionally, CTV provides valuable data insights that enable you to measure campaign effectiveness accurately. If you haven’t embraced this advertising channel yet, you may be missing out on a growing and engaged audience. Here are three reasons you should add CTV to your advertising strategy. Global video ad impressions As a global platform, CTV has the unique ability to reach audiences worldwide. Unlike traditional TV, CTV transcends geographical boundaries and brings marketers a global audience, which makes it an ideal channel for global ad campaigns. No matter your target audience, they’re consuming content on CTV. In fact, a recent study showed that 51% of global video ad impressions came from CTV in 2022. This abundance of global video ad impressions generates vast amounts of data, which AI can process in real time to help you make data-driven decisions and optimize your campaigns for diverse international audiences. AI can analyze viewer data from various regions, identify audience preferences and behaviors across borders, and tailor ad content accordingly. These data analysis capabilities ensure your ads get in front of the right viewers. Viewers prefer ad-supported CTV In 2020, the viewing time of ad-supported CTV surged by 55% while subscription video on demand decreased by 30%, according to TVision Insights. Viewers have a well-established preference for ad-supported CTV due, in part, to cost-effective access to premium content. Viewers are more engaged and less resistant to ads, as AI tailors ad content to viewer preferences and behavior to enhance ad relevance. AI-powered insights can also aid in viewer retention and help you optimize your CTV campaigns. By accommodating viewers’ preference for ad-supported CTV and harnessing AI to improve the ad experience, you’re more likely to be successful in your marketing efforts. CTV outpaces mobile and desktop for digital video viewing eMarketer recently reported that U.S. adults spend 7.5+ hours each day on CTV — more than half of their digital video viewing time. Comparatively, they only spend 37.5% of their viewing time on mobile and 10% on desktops and laptops. These statistics demonstrate that CTV has become the preferred platform for digital video consumption, as viewers enjoy larger screens with superior quality for an immersive experience. It's important to note that AI is an essential CTV marketing tool, as it allows for precise targeting and content optimization. By utilizing AI on CTV, you can take advantage of this trend and deliver more engaging and effective campaigns to a growing and engaged audience. How is AI already being used in CTV? CTV has been integrated with AI across various facets and has revolutionized the television landscape. Here's a look at how AI is already shaping the CTV experience: Generative AI ads Generative AI ads are taking CTV personalization to a whole new level. These innovative ads are customized versions of the same CTV ad to suit individual viewers. Some AI tools can generate several versions of the same CTV ad — swapping the actor’s clothing and voiceover elements like store locations, local deals, promo codes, and more — and can create up to thousands of personalized iterations in just a few seconds. Such capabilities are a game-changing approach to connecting with your audience. Next, we dive into the advantages and impact of generative AI ads, and explore their transformative role in CTV advertising. Contextual ads vs personal data Generative AI ads use personal data, such as viewing history and demographics, to create highly personalized ad experiences. This sets them apart from contextual ads, which rely solely on the content being viewed. Using AI to harness this data, you can move beyond traditional contextual targeting and ensure your ads connect with viewers on a more individualized level. Generative AI ads can be used to A/B test Generative AI ads are not just about personalization; they also open the door to A/B testing. Being able to create several versions of one ad quickly allows you to experiment with various ad elements, such as messaging, visuals, and calls to action, to identify what works best for different segments of your audience and drives the best performance. This flexibility is especially valuable for refining ad campaigns and maximizing their impact. What’s next for AI-generated ads like this? The potential of AI-generated ads is exciting. As AI technologies constantly advance, we can expect even more personalized and automated CTV advertising. It’s a good idea to keep up with the latest AI-driven innovations to create more effective ad campaigns in the fast-evolving CTV space. The possibilities are endless, and you’ll likely find the most success when you embrace AI in CTV advertising. Optimize streaming quality AI helps viewers enjoy more seamless CTV experiences. By assessing network speed and user preferences, AI optimizes video quality in real time to reduce buffering interruptions. For instance, streaming platforms use AI to adjust video settings based on a user's connection speed. This guarantees an uninterrupted and enjoyable viewing experience. Review content for compliance AI also has a part to play in quality assurance and compliance management. It assesses content alignment with technical parameters and moderates compliance with local age restrictions and privacy regulations. This means AI can identify and filter out unsuitable content to provide a safer and more enjoyable viewing environment for audiences while safeguarding brands from association with undesirable material. Voice command AI-powered voice command technology is increasingly used to control CTV viewing. This technology is embedded in streaming devices and smart TVs and allows viewers to interact with their CTV content through voice-activated commands. This personalizes the viewing experience and improves convenience, as it eliminates the need for remote controls. CTV-integrated voice assistants like Google Assistant, Amazon Alexa, Apple Siri, and Samsung Bixby offer a more human-like interaction with the television, allowing users to give commands and receive tailored responses. Content recommendations AI can offer content recommendations that provide viewers a more personalized and engaging experience. Major over-the-top (OTT) services like Netflix, Hulu, and Amazon Prime use AI-driven data analysis to deliver tailored content suggestions to their audiences. By analyzing user habits in detail, AI can recommend content based on factors such as actors, genres, reviews, and countries of origin. This personalized approach helps viewers discover content that matches their preferences and enhances their viewing experience. Advertising Programmatic ad buying, driven by AI, automatically matches ad placements to specific audience segments based on behavioral patterns. It improves ad delivery by moving away from gross rating points (GRP) to more intelligent and targeted placements. This benefits marketers by ensuring ads are seen by the right people at the right time. It’s also cost-effective for publishers, as it maximizes the sale of ad spots to suitable buyers. Automatic content recognition (ACR) technology, which AI powers, is integrated into smart TVs and streaming devices to improve ad relevance. It provides contextual targeting and extends the reach of ads across multiple devices. For example, platforms like Roku use ACR data to display ads to viewers who haven’t seen them on traditional TV. Similarly, Samba TV retargets mobile users based on IP address and aligns their viewing habits with their smart TVs. Demand-side platforms CTV advertising relies heavily on demand-side platforms (DSPs) to efficiently manage and optimize ad campaigns. These platforms use machine learning and AI in several important ways: Using machine learning and AI to address data fragmentation Data is abundant but fragmented when it comes to CTV advertising. DSPs are flooded with a massive amount of data, including information about households, viewer behavior, and viewing patterns. This data is far too much for manual analysis to handle effectively, which is where AI comes in. By integrating machine learning algorithms into DSPs, AI can harmonize this fragmented data and provide valuable insights and a holistic view of your audience. AI can process zettabytes of data in real time, which streamlines the decision-making process and empowers you to compete quickly for limited CTV impression opportunities. Predicting advertising outcomes with AI AI is quickly changing the way we predict and optimize advertising outcomes. TV buying and optimization platforms are now using AI to improve ad performance. With machine learning, these platforms can anticipate which ad creatives will produce the best results based on various non-creative factors. These include the context of the ad, the audience's profiles, the time of day it is displayed, and the frequency of the ad display. By relying on AI to make these predictions, you can make sure your campaigns are highly optimized for success and deliver more relevant, compelling ads to viewers. Optimizing generative ads AI is also driving optimization in generative ads. These personalized versions of the same CTV ad can be tailored to suit individual viewers. By utilizing AI-driven analytics, DSPs can process extensive amounts of data in real time and optimize generative ads to ensure they align with viewers' preferences and behaviors. This level of personalization is a game-changer in CTV advertising that boosts engagement and delivers content that truly resonates with the audience. Add AI to your CTV strategy today Integrating AI into your CTV strategy can help you stay competitive and ensure your ad campaigns are effective and engaging. At Experian, we’re ready to help you elevate your CTV advertising and implement AI as part of your strategy. Our solutions, such as Consumer View and Consumer Sync, provide valuable audience insights, enhance targeting capabilities, and optimize engagement on TV. Plus, our partnerships with leading media marketing solutions can help you achieve greater success through effective advanced television advertising. As you incorporate AI into your CTV strategy, you’ll be able to make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Explore Experian's TV solutions and empower your CTV advertising with AI today. Start exploring Latest posts
The digital advertising landscape is undergoing a significant transformation with the gradual deprecation of third-party cookies. This shift necessitates the adoption of new strategies for audience targeting and data management. In our next Ask the Expert segment, we explore this evolution, discussing new strategies for audience targeting and data management in a world without cookies. We’re joined by industry leaders, Gabe Richman, Senior Director of Data Partnerships at The Trade Desk, and Chris Feo, Experian’s SVP of Sales & Partnership who spotlight The Trade Desk’s innovative approach to navigating a cookieless future. Tune in to our Q&A below to learn more about these topics and learn how the collaborative efforts of Experian and The Trade Desk offer a glimpse into the future of advertising. Cookieless IDs are the new face of identity in advertising Traditional tracking and targeting techniques are being replaced by more advanced and privacy-conscious methods. Unified I.D. 2.0 (UID2), led by The Trade Desk, exemplifies this shift, offering a new identifier based on encrypted email addresses or phone numbers. This approach not only caters to the evolving privacy regulations but also places greater control in the hands of consumers. UID2’s design fundamentally differs from cookies since it is rooted in transparency and consumer consent. UID2: A catalyst for industry-wide adoption UID2’s journey reflects a rising industry-wide recognition of its value across the industry. The adoption of UID2 by major publishers, demand-side platforms, and advertisers indicates a shift toward more sustainable and consumer-friendly approaches to identity in advertising. This is particularly evident in areas like connected TV (CTV), where UID2 is rapidly becoming a currency and standard. “The purpose of UID2 is not only to create a better ID for advertisers and publishers to achieve their objectives, but also to benefit the consumers. Unlike cookies, UID2 provides transparency and control to the consumers for the first time.”gabe richman, sr. director, data partnerships, the trade desk How Experian and The Trade Desk work together The partnership between The Trade Desk and Experian goes beyond adapting to the absence of cookies. Our joint efforts highlight a commitment to developing solutions that cater to advertiser’s needs while respecting consumer privacy, a balancing act becoming increasingly crucial in today’s digital ecosystem. The Trade Desk's emphasis on UID2 as a foundational element in the open web, campaign design, and activation is a testament to the potential of new identifiers in enhancing advertising efficacy. Similarly, our ability to utilize these identifiers to deliver detailed audience insights offers advertisers a powerful tool to remain effective in a post-cookie world. Experian’s role in the adoption of UID2 Experian's integration strategies have played a critical role in diversifying the applications of UID2. By partnering with The Trade Desk, we help broaden the reach and effectiveness of UID2 across various advertising channels. In terms of reach – by incorporating a prominent cookieless ID, we further amplify the reach of UID2. The increased adoption of this new ID allows the digital ecosystem the ability to interact using an alternative identifier, thereby broadening the potential audience. In terms of effectiveness – we help advertisers serve relevant ads to the right audiences, ensuring the relevance of the ads and control over their frequency. Targeting with Geo-Indexed audiences The Trade Desk works with Experian to ingest and host our syndicated audiences. This partnership gives The Trade Desk’s clients access to over 2,400 syndicated audiences that span across eight verticals. This includes access to our new Geo-Indexed audiences that allow brands to reach consumers and households based on geographic regions that over-index for a common set of attributes, ultimately offering brands a targeting solution that prioritizes both consumer privacy and accuracy. What a future beyond cookies looks like Looking ahead, the focus in advertising is not solely on replacing cookies but on a broader evolution of the industry. This includes continuing to apply machine learning technologies, like artificial intelligence (AI), to enhance ad personalization and effectiveness. The interplay between creative content, audience insights, and privacy-compliant targeting will become increasingly important as the industry evolves. As cookies become a thing of the past, the initiatives spearheaded by The Trade Desk and Experian will likely set the tone for the next era of digital advertising, and emerging solutions like UID2 are leading the way. Watch the full Q&A Visit our Ask the Expert content hub to watch Gabe and Chris' full conversation about cookieless advertising. In their conversation, Gabe and Chris share more about UID2, consumer transparency, and the importance of consumer data for targeted advertising. Watch now About our experts Gabe Richman, Sr. Director, Data Partnerships, The Trade Desk Gabe Richman is the Senior Director of Data Partnerships at The Trade Desk where he focuses on global identity strategy and platform partnerships as well as driving UID2 and EUID adoption across the broader ecosystem. Prior to joining The Trade Desk in 2021, Gabe held various roles in AdTech at HealthVerity, Wunderkind and LiveRamp. For the last decade Gabe has taken pride in helping advertisers and platforms alike demystify the complex identity landscape and embrace the change needed to preserve the open internet. Gabe is a graduate of the University of Maryland and resides in Los Angeles. Chris Feo, SVP, Sales & Partnerships, Experian As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats! Latest posts