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Published: August 11, 2025 by

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From appetizer to main course: A taste of 2025’s marketing trends

Agencies, platforms, and marketers stand at the crossroads of transformation, as privacy regulations tighten, technology accelerates, and consumer behaviors evolve. Yet these challenges also present extraordinary opportunities. Our 2025 Digital trends and predictions report highlights five trends that will shape 2025 and digs into: What’s changing in the market How to keep learning about your customers How to reach your customers in different places How to measure what’s really working along the way In this blog post, we’ll give you a sneak peek of three of these trends — from cracking the code of signal loss to tapping into the buzz around connected TV (CTV) and stepping up your omnichannel game. Think of it as a taste test before the main course. Ready for the full menu? Download our report to get the lowdown on all five trends. Download now 1. Signal loss: A rich appetizer of alternate ingredients As traditional cookies crumble, marketers need fresh ingredients to keep the flavor coming. Already, about 40% of browser traffic doesn’t support third-party cookies, and marketers are spicing things up with first-party data, alternative identifiers like Unified I.D. 2.0 (UID2) and ID5, and contextual targeting strategies. In fact, 50% more of our clients received alternative IDs (UID2, ID5, Hadron ID) in their Digital Graph in 2024 compared to 2023. The number of alternative IDs resolved to individuals in our Digital Graph increased by 30% year-over-year – as everyone looks beyond the cookie jar. There is no secret sauce to replace cookies. Instead, expect a multi-ID recipe that brings together different identifiers, unified by an identity graph. This approach turns a fragmented pantry of data into a cohesive meal, giving you a complete view of your customer on every plate. 2. The rising power of CTV: A hearty entrée of opportunities CTV is quickly becoming the main dish on the streaming menu, as viewers load up on their favorite shows. While CTV is slated to make up 20% of daily U.S. media consumption by 2026, advertisers are still holding back on pouring in the ad spend. To unlock its full flavor, marketers need to whip up solutions like frequency capping and unified audience activation. Although CTV will account for 20% of daily U.S. media consumption by 2026, it’s projected to command only 8.1% of ad spend. Frequency capping and unified audience activation solutions will be key to unlocking CTV’s full potential. By 2025, nearly half of CTV "diners" will choose free ad-supported streaming TV (FAST). Marketers need strategies to prevent ad overexposure. With 50% of U.S. consumers avoiding products due to ad overload, and 30% of marketers willing to increase their CTV spend if frequency capping improves, unified identity solutions help ensure every impression is served just right. 3. Omnichannel: A flavorful fusion plate No one likes a one-flavor meal. Marketers are moving beyond single-channel “side dishes” to omnichannel “fusion feasts” that blend direct mail, digital, CTV, and retail media networks (RMNs) into a truly cohesive culinary experience. Even though only 21% of global B2C professionals currently put omnichannel at the top of their shopping list, the growing demand for seamless, audience-first campaigns is heating up. In 2025, having an audience-first approach will be like having a perfect pairing for every course. Unified identity solutions act as your master sommelier, ensuring that each channel complements the next, and every customer enjoys a well-rounded, memorable journey. Vertical trends: A dessert sampler from four unique kitchens Different markets have their own signature flavors. In Auto, crossover utility vehicles (CUVs) claim 51% of new vehicle registrations, and consumers in the 35-54 age group and families are the primary buyers. Automotive marketers should prioritize CUV advertising with a strong focus on family-oriented and income-appropriate messaging In Financial Services, marketers need to anticipate shifts in consumer behavior tied to economic conditions, such as increasing demand for deposit products when interest rates are high. For insurance, aligning campaigns with life events, like new home purchases or marriage, can maximize engagement. In Healthcare, advertisers are prioritizing personalized, regulation-compliant campaigns that address social determinants of health (SDOH). In Retail, advertisers are increasingly activating on both CTV and social platforms, with many managing their own in-house campaigns. While larger brands often rely on media agencies, a shift toward in-house media buying is emerging among some bigger players, offering more control over audience targeting and performance metrics. Our report covers each vertical’s unique menu, helping you select the right “ingredients” for your customers. With the top Experian Audiences on hand, you can create feasts that delight, nourish, and convert. Hungry for more? Download our full menu The three “samples” you’ve just tasted are just the starters. Our 2025 Digital trends and predictions report serves up five insights, complete with strategies, data, and tools to help you adapt, scale, and thrive in 2025. Ready for the full menu? Download our report now and discover all five trends that will shape your marketing “cookbook” in 2025. Bon appétit! Download now Latest posts

Jan 28,2025 by Hayley Schneider

The evolution of identity: A decade of transformation

Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. Explore our identity solutions Latest posts

Nov 25,2024 by Chris Feo

Five steps retail media networks should consider when choosing a data partner

Originally appeared on Total Retail Retail media networks (RMNs) continue to demonstrate how they can be a powerful monetization driver for retailers, creating a win-win-win for everyone involved. Retailers can monetize their valuable first-party data as well as their online and in-store inventory, while customers benefit from timely, relevant content that enhances their shopping experience. At the same time, advertisers can reach highly targeted audiences at critical moments near the point of purchase Achieving this type of success requires overcoming challenges around fragmented and incomplete first-party data, which can limit a retailer's ability to organize and use their data effectively. Additionally, many RMNs lack the analytical capacity to generate customer insights, build addressable audiences, and accurately measure success. To realize the full potential of their platforms, RMNs need partners that provide complementary data, strong identity solutions, and the expertise to transform insights into actionable strategies. This allows RMNs to drive winning outcomes for themselves, marketers, and their customers. Here are the five steps an RMN should consider when selecting the right partner. 1. Build an identity foundation First, the right partner needs to be able to organize and clean customer data. Given the millions of customer records and data points that a retailer has, RMNs need to make sure their data is highly usable. Whether it is a known customer record or an unknown customer with incomplete data, partners should fill in missing information and connect fragmented customer records to a single profile. For example, RMNs need to know that a purchase made in-store is by the same customer who bought online. The best partners will then organize those profiles into households since targeting (and purchasing) is often done at the household level. Without a strong identity foundation future steps of segmentation, insights, audience creation, and activation will not be successful. Experian identity Experian's identity solutions provide RMNs with a comprehensive and accurate view of their customers across both offline and digital environments. We clean an RMN's first-party data and organize their customer records into households since targeting is often done at the household level and purchases are made at the household level. Using Experian's Offline and Digital Graphs we work with the RMN to fill in the missing information they have on their customers (e.g. name, address, phone number or digital IDs like hashed emails, mobile ad IDs, CTV IDs, Universal IDs like UID2 or ID5 IDs). This ensures that the retailers' entire customer base can be reached – and measured – across devices and channels. 2. Segment your customers An RMN’s ability to segment its customer base and derive insights depends on the availability and usability of their data assets – not to mention some serious analytical chops. Some RMNs will split their customers into different product segments based on what’s relevant to an advertiser. For example, a home improvement retailer may segment customers by who is buying DIY supplies versus improvement services.  Other RMNs may develop custom segments from their customer data and third-party data sources, so that advertisers can personalize their marketing based on life stage, age, income level, geography, and other factors. Either approach is effective but requires working with a partner who has high quality data and deep analytical expertise to develop those segments. Segment with Experian Experian Marketing Data helps an RMN learn about their customer beyond their first-party data. With access to 5,000 marketing attributes, RMNs can fill in the holes in their understanding of a customer. We provide them with demographic, geographic, finance, home purchase, interests and behaviors, lifestyle, auto data and more. RMNs can use this enriched data set to create addressable audience segments. 3. Generate actionable insights about these segments Once the RMN determines how they will segment their customers, they can utilize demographic, attitudinal, interest, and behavioral data from a trusted partner to develop a customer profile that compares its customers against a relevant sample of consumers. Here, the RMN will gain insight that will help them answer questions about its customers. Examples include:  What age and income groups are more likely to purchase my product? What is the current life stage of my customers – do they have children, are they married, are they empty-nesters? Is price or quality more important to customers in their decision-making process? What sort of activities do my customers enjoy? How frequently do my customers shop for similar merchandise? What media channels do my customers use to get their information? Expanded insights with Experian With Experian’s advanced customer profiling, RMNs can go beyond basic customer segmentation. We build detailed customer profiles by utilizing accurate, attribute-rich consumer data, so RMNs can gain a more comprehensive understanding of their customer’s preferences, life stages, and purchasing behaviors.  Having this insight enables the RMN to: Design a targeted email campaign promoting home essentials to recently married new homeowners. Develop a social media post announcing the opening of a new hardware store to users within a specific location interested in do-it-yourself products. Create brochures and flyers at a local community event tailored towards parents with small children that promote equipment for youth sports leagues. 4. Create high quality lookalike audiences The RMN now knows what distinguishes their customers from other consumers and can create audiences that enable advertisers to run personalized marketing campaigns at scale. RMNs can do this in several different ways: Work with a data provider who can create custom audiences for the RMN (e.g., Ages 40-49 and Leisure Travelers and past purchase of travel item) These custom audiences are created by joining multiple first- and third-party data attributes found to be significant in the customer profile or using machine learning techniques to develop a custom audience unique to the advertiser.   Custom audiences with Experian With an enriched understanding of their customers, RMNs can create addressable custom audience segments, including lookalike audiences, for advertisers. 5. Expand addressability of audiences and activate on multiple destinations Once audiences are created, RMNs will want to increase a marketer’s reach across on-site and off-site channels. With the right identity graph partner, an RMN can add digital identifiers to customer records that enable activation across media channels, including programmatic display, connected television (CTV), or social. RMNs should work with identity providers that are not reliant on third-party cookies. They should select partners that offer more stable digital IDs in their graph like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and universal IDs like Unified I.D. 2.0 (UID2). Experian powers data-driven advertising through connectivity Using Experian's Digital Graph, RMNs expand the addressability of their audiences by assigning digital identifiers to customer records. Marketers will be able to reach an RMNs customers onsite as well as offsite since Experian provides several addressable IDs. Audiences can be activated across an RMNs owned and operated platform as well as extended programmatically to TV and the open web through Experian's integrations across the ecosystem. Maximize your RMN’s revenue potential with Experian Organizing customer data, segmenting customers, generating insights, creating addressable audiences, and activating campaigns are all critical steps for an RMN to realize that revenue potential. RMNs should select a partner that provides the data, identity, and analytical resources to create the winning formula for marketers, customers, and retailers.  Experian’s data and identity solutions are designed to help RMNs maximize their revenue potential. Reach out to our team to discover how we can support your path to RMN success. Connect with us Latest posts

Nov 19,2024 by Steve Zimmerman, Director of Custom Analytics

Navigating the multi-ID landscape

Originally appeared on MediaPost As the digital ecosystem becomes more complex, managing multiple identifiers for consumers has emerged as a significant challenge. From cookies and IP addresses to mobile IDs and universal IDs, marketers and platforms face increasing difficulty in maintaining a unified view of their consumers. Without a coherent identity strategy, campaigns can suffer from poor targeting, limited personalization, and flawed attribution. Experian understands these challenges and offers solutions to help our partners navigate the complexities of a multi-ID landscape. By utilizing both digital and offline data, we provide the tools to unify fragmented identifiers and maintain a persistent view of consumers. As a result, marketers and platforms get rich insights, accurate cross-device targeting, improved addressability, and measurable advertising. The shifting identity landscape For years, the industry has relied on cookies to identify consumers across devices and platforms. However, with ongoing signal loss, including the uncertainty around cookies, and the evolution of privacy regulations, the digital identity landscape has grown more complicated. As consumers hop from one device to another, they are now represented by multiple signals, each tied to a different aspect of their digital behavior. While this shift brings complexity, it also opens the door for innovation. Marketers and ad platforms now have the opportunity to rethink their identity strategies and adopt more flexible approaches that are not reliant on a single identifier. This is where Experian comes in. Connecting the dots: A holistic view of the customer journey Our identity solutions are designed to help manage today’s multi-ID ecosystem by connecting digital and offline identifiers to a single customer profile. This creates a unified view of the consumer, and when combined with our understanding of customer behavior (e.g. demo, interests, shopping patterns) marketers and platforms get both insights about their customers and the addressability to reach them across channels. Four examples of what you can do with a strong identity foundation If an advertiser wants to make its first-party data more addressable, it can utilize our Digital Graph with universal IDs, hashed emails (HEMs), and connected TV (CTV) IDs to extend its reach. A publisher who wants to gain further insights into their audiences and create private marketplaces (PMPs) can achieve this goal with the use of our Digital Graph with hashed emails, universal IDs, mobile ad IDs (MAIDs), CTV IDs, and IPs. The publisher can use this in concert with Marketing Attributes to understand age, gender, household income, buying behavior, and more. The publisher can connect marketing attributes to the Digital Graph via our Living Unit ID (LUID) to understand more about consumers that fall into their segments. A demand-side platform (DSP) who wants to extend first-party and third-party audience reach across all digital devices on their platform will use the Digital Graph with all digital IDs to allow users of their platform to select cross-device extension against first-party and third-party audiences. A retail media network (RMN) can use our Offline and Digital Graphs to connect in-store and online purchases to a household profile—even when purchases are made by different people. The RMN can then reach that household across digital media platforms and accurately attribute the in-store purchase back to digital ad exposure.  Identity as a strategic asset: Today and in the future In our paradoxical world where consumers are represented by multiple identifiers, yet marketers and platforms face signal loss, identity is more than a technical issue—it’s a strategic asset. The ability to unify identity data into a single profile provides marketers with the customer intelligence needed to drive growth and stay competitive. Here’s how we do it: Deep, persistent customer understanding: With roots in offline, deterministic data like names, addresses, and emails, we provide an accurate and persistent view of identity to our customers. This allows you to maintain a consistent and comprehensive understanding of your customers and their marketing attributes over time. Highly accurate and refreshed digital identities: Our signal-agnostic graph is not reliant on any one signal as it includes HEMs, cookies, MAIDs, IPs, Universal IDs, and CTV IDs. Our Digital Graph is updated weekly, ensuring the data is always fresh and addressable. This persistent linkage of individuals and households to their identifiers and devices means your campaigns are always targeting the right people. Connected offline and digital graphs for holistic insights: We connect offline and digital identities by following privacy-first best practices, such as preventing re-identification, to allow insights from the offline world to be used in the online world. This integrated approach, enriched with marketing data, gives you better insights, more addressable advertising, and the ability to engage customers across multiple devices while accurately measuring campaign impact. Transform challenges into opportunities The rise of the multi-ID landscape presents both challenges and opportunities for the advertising industry. We stand as the trusted partner to navigate this complexity, utilizing insights from the offline world to inform decisions in the online world, enabling personalized marketing and accurate attribution, and helping you achieve your current and future goals. Get started today Latest posts

Nov 14,2024 by Budi Tanzi

Experts discuss five key considerations for integrating linear and connected TV in 2024

With U.S. brands expected to invest over $28 billion in connected TV (CTV) in 2024, balancing linear TV and CTV is now a top priority. Advertisers need to integrate these platforms as the TV landscape evolves to reach audiences with various viewing habits. A successful strategy requires both linear and CTV approaches to effectively reach audiences at scale. We interviewed experts from Comcast Advertising, Disney, Fox, Samsung Ads, Snowflake, and others to gain insights on the evolving landscape of linear and CTV. In our video, they discuss audience fragmentation, data-driven targeting, measurement challenges, and more. Watch now to hear their perspectives. Five considerations for connecting with linear TV and CTV audiences 1. Adapt to audience fragmentation With consumers' rapid shift toward streaming, it's easy to overlook the enduring significance of linear TV, which still commands a large portion of viewership. According to Jamie Power of the Walt Disney Company, roughly half of the current ad supply remains linear, highlighting the need for brands to adapt their strategies to target traditional TV viewers and cord-cutters. As streaming continues to rise, ensuring your strategy integrates both CTV and linear TV is crucial for reaching the full spectrum of audiences. "I don't think that we thought the world would shift so quickly to streaming, but it's not always just all about streaming; there's still such a massive audience in linear."jamie power, disney 2. Combine linear TV’s reach with CTV’s precision Blending the reach of linear TV with the granular targeting capabilities of CTV allows advertisers to engage both broad and niche audiences. Data is critical in understanding audience behavior across these platforms, enabling brands to create highly relevant campaigns tailored to specific audience segments. This strategic use of data enhances engagement and ensures that the right viewers see advertising campaigns. "The future of TV is really around managing the fragmentation of audiences and making sure that you can reach those audiences addressably wherever they're watching TV."carmela fournier, comcast Advertising 3. Manage frequency across platforms Cross-platform campaigns require managing ad frequency to avoid oversaturation while ensuring adequate exposure. With a variety of offline and digital IDs resolved to consumers, our Digital and Offline Graphs can help maintain consistent messaging across linear TV and CTV. This approach allows advertisers to strike the right balance, preventing ad fatigue and delivering the right audience reach for campaign impact. "You've got to make sure that you're not reaching the same homes too many times, that you're reaching everybody the right amount of times."justin rosen, ampersand 4. Focus on consistent measurement Linear TV and CTV offer different data granularities, necessitating tailored approaches for accurate cross-platform campaign measurement. Bridging these data gaps requires advanced tools that streamline reporting for both mediums. As the industry moves toward consistent measurement standards, advertisers must adopt solutions that provide a comprehensive view of campaign performance, enabling them to optimize their cross-platform efforts. "Where I think there are pitfalls are with the measurement piece, it's highly fragmented, there's more work to be done, we're not necessarily unified in terms of a consistent approach to measurement."april weeks, basis 5. Align with shifts in audience behavior The success of cross-platform campaigns hinges on staying agile and responsive to shifting audience preferences. As CTV adoption grows, advertisers must proactively adjust their strategies to align with how viewers engage across linear and streaming platforms. Ideas include: Regularly updating creative Adjusting the media mix Utilizing real-time data insights to ensure campaigns remain relevant "At Fox we were a traditional linear company, and essentially what we're trying to do is merge the reach and the scale of TV as well as the reach and the scale of all the cord-cutters and cord-nevers that Tubi possesses." Darren Sherriff – Foxdarren sherriff, fox As streaming TV rapidly changes, brands must stay ahead of trends and shifts in consumer behavior to tap into CTV's growing potential. By focusing on these opportunities, advertisers can blend linear TV and CTV, ensuring their campaigns reach audiences wherever they watch. Connect with Experian's TV experts As a trusted leader in data and identity services, Experian offers the expertise to help you succeed in television marketing. With our strong partnerships with key players in the TV industry, we provide access to unique marketing opportunities. Learn how Experian’s data and identity solutions can deliver outstanding results in advanced TV advertising. Partner with us today to enhance your marketing strategies using our Consumer View and Consumer Sync solutions. Connect with our TV experts Latest posts

Sep 17,2024 by Experian Marketing Services

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Our top five 2023 AdTech blog posts

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

Dec 15,2023 by Hayley Schneider

How AI is transforming connected TV advertising

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

Dec 14,2023 by Experian Marketing Services

UID2: Steering the course in identity management with The Trade Desk

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

Dec 13,2023 by Experian Marketing Services

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At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

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