
In this article…
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

In the ever-evolving and soon-to-be cookieless advertising world, brands and agencies need help finding and maintaining access to accurate and comprehensive marketing data that enables them to reach the audience segments that matter most. Flashtalking by Mediaocean and Experian have a collaboration in place to do just that. Through this partnership, Experian’s more than 2,400 syndicated audiences are available for activation within the Flashtalking platform and its Social Ads Manager. “There are a lot of audience segments and data disappearing within the advertising industry right now because of the deprecation of third-party cookies, but Experian’s syndicated audiences are built for this new privacy-first world. Through this partnership, Flashtalking's clients gain access to some of the industry's most actionable on-the-shelf and custom audience capabilities for activation and targeting across the publishers and social platforms that matter most. It’s as easy as identifying the segments that matter to your brand and activating them everywhere they exist with a few simple clicks.” – Ben Kartzman, COO, Flashtalking by Mediaocean This partnership unites the power of Flashtalking's best-in-class independent omnichannel advertising platform with Experian’s comprehensive audience intelligence, which spans 126 million households and 250 million consumers. “For the same reason that brands are investing more deeply in first-party data in the wake of third-party cookie deprecation, having access to the right audience segments has never been more important. Mediaocean offers access to the only independent ad server that’s powering truly omnichannel, personalized experiences, and we’re thrilled to be amplifying their ability to do that through Experian’s expansive audience segments.” – Colleen Dawe, Director, Sell-Side Sales, Experian The Flashtalking Social Ads Manager has long-standing relationships and technical integrations with all major platforms, including Facebook, Google Demand Gen, Instagram, LinkedIn, Pinterest, Snap, TikTok, and a forthcoming integration with Reddit. Experian data can be deployed through custom and syndicated segments within these platforms, providing clients with both reach and precision. The power of the Experian – Flashtalking collaboration Benefits to marketing organizations that tap Experian data and audience segments via the Flashtalking platform include the following: A unified customer view: Marketers can use Experian's comprehensive data within Flashtalking to create a unified view of the customer across multiple channels. This helps craft cohesive marketing strategies that deliver consistent messages, enhancing customer experiences and brand perception. Enhanced targeting and personalization: Marketers can access Experian's detailed audience segmentation and insights within Flashtalking to target campaigns effectively. They can personalize messages at scale based on demographic, psychographic, and behavioral data to increase engagement and conversion rates across all channels. Optimized cross-channel strategies: With Flashtalking's cross-channel capabilities, marketers can integrate Experian's insights to understand how different segments interact with various channels. This enables the design of optimized cross-channel strategies that cater to the preferences and behaviors of different audiences. Data-driven decision-making: This partnership combines Experian's in-depth consumer insights with Flashtalking's analytics and reporting tools to help marketers make informed decisions. This data-driven approach can improve campaign performance, optimize media spend, and reveal untapped market opportunities. Local market activation: Marketers can also use Experian's geographic and location-based data within Flashtalking to tailor campaigns to local markets. This localized approach can enhance relevance and response rates, providing a competitive edge in regional marketing efforts. Improved media efficiency: This collaboration also enables organizations to harness the power of Experian's data within Flashtalking to improve media planning and buying. They can identify the most effective channels and timeframes for reaching specific audiences, leading to more efficient and cost-effective media investments. Why choose Experian in Flashtalking For over 50 years, we have been a trusted single-source provider of data management solutions. Our expertise in offline and digital identity has enabled us to curate data from over 200 direct and active sources, offering a comprehensive view of consumers with granularity, accuracy and scale. Using this data, we can craft our syndicated audiences to cover many verticals and specialty categories. For example, a Flashtalking client in the automotive industry can supercharge its campaign efforts. Experian has found that automotive advertisers build segmentation using four major data categories: Automotive Demographics Lifestyles and Interests Retail Shoppers: Purchase-Based Directly within the Flashtalking platform, multiple syndicated audiences from Experian in each major data category specific to automotive are available that brands and agencies can activate on-the-shelf to reach consumers with targeted messaging and retargeting. Experian and Flashtalking are future-proofing advertising Together, Flashtalking and Experian will ensure advertisers can continue to deliver personalized, relevant, and impactful messages and experiences to consumers despite ongoing shifts within the data-driven marketing landscape, including the deprecation of third-party cookies in Chrome. This partnership offers greater access to audience segments built on privacy-safe insights with expansive reach, scale, and flexibility. Connect with us to learn more about how you can access Experian’s syndicated audiences through Flashtalking by Mediaocean. Contact us today About Flashtalking by Mediaocean Flashtalking unleashes the power of creative to make media work better. As the leading independent platform for personalization and intelligence across all marketing channels, our Creative Ad Tech bridges the gap between creative and media. We provide AI and automation to connect the silos between teams and deliver more efficient production, versioning, and distribution of creative. Our solutions operate at scale across CTV, Video, Display, Social, Native, Audio, DOOH, and Retail Media channels. As part of Mediaocean, Flashtalking is tied into the industry’s core ad infrastructure for omnichannel planning, buying, and billing. Visit flashtalking.com to learn more. Latest posts

Shoptalk 2024, the premier event for retail and e-commerce professionals, brought together industry leaders to discuss the latest trends and innovations shaping the future of retail. As the retail landscape continues to evolve, here are four key takeaways from Shoptalk 2024: 1. The continuing rise of retail media networks The evolution of retail media is propelling us into a new era of advertising and first-party data monetization. Retailers are using their valuable first-party data to offer targeted advertising opportunities on both their owned and operated channels — from sponsored content to personalized ads — and through offsite programmatic ads. However, the full potential of retail media networks (RMNs) is hindered by challenges in understanding and targeting shoppers beyond retail data, reaching customers across channels and validating measurement. To unlock the true value of RMNs, and turn these challenges into opportunities, companies should focus on four areas: Gain insights: Learn more about your customers and the customers your marketing partners care about. Create audiences: Use enriched data to build addressable audience segments for advertisers to target. Maximize reach: Expand your addressability and monetize your data on and off platform. Demonstrate success: Validate marketing impact by connecting ad exposures to outcomes. “It was evident at Shoptalk 2024 that the rise of retail media is unstoppable. The conversations, collaborations, and insights shared at the event cemented the position of retail media networks as the driving force behind the future of commerce.”Alison Hofelich, Sr. Account Executive, Big Box Retail & Grocery 2. Content-led commerce Content is becoming increasingly pivotal in driving commerce, with retailers investing in shoppable video to stimulate conversations and foster customer engagement. While video may not always lead to immediate transactions, it can start dialogues, offering retailers a platform to enhance customer loyalty and influence future sales. Retailers talked about their focus on connecting with Gen Z on a deeper level. PacSun highlighted initiatives like the launch of a gender-fluid line and continuous engagement with young consumers via social media for feedback. Additionally, PacSun talked about embracing "conscious capitalism" by co-creating with influencers and customers, recognizing the growing consumer preference for brands that make a positive impact. By collaborating with influencers and using user-generated content, retailers can create authentic experiences that resonate with their customers. 3. Data privacy and trust With data playing a central role in retail strategies, ensuring data privacy, and building trust with consumers are imperative. Retailers must prioritize transparency and security to safeguard customer information and nurture long-term relationships. While the focus may currently be on capturing Gen Z market share, businesses need to anticipate shifts in consumer demographics and adapt their strategies accordingly. Using customer data in a privacy-compliant way enables retailers to implement effective personalization strategies that drive long-term engagement and loyalty. “Retail media networks were at the center of Shoptalk 2024. In addition to retail media networks, the seamless integration of data to enhance customer personalization and the rising importance of targeting Gen Z were recurring themes."Kai Rood, Account Executive, Retail Apparel 4. The time to embrace AI is now Technology continues to drive innovation in retail, with advancements in AI reshaping the shopping experience. From virtual try-ons to personalized product recommendations, retailers are using AI to engage consumers and enhance product discovery. Testing and learning are essential for AI implementation, as companies navigate the risks and rewards of technological innovation. Navigate the future of retail with Experian Shoptalk 2024 provided invaluable insights into the future of retail, highlighting the importance of retail media networks, content-led commerce, data privacy, and tech innovation. By embracing these trends and innovations, retailers can position themselves for success in an ever-evolving marketplace. At Experian, our solutions are tailored to empower businesses in navigating this dynamic landscape. Through our Consumer Sync solutions, we bridge the gap between online and in-store touchpoints, ensuring a unified strategy for reaching audiences across channels and evaluating campaign performance. Our Consumer View solutions enable you to tap into 5,000 demographic and behavioral attributes to fill in any gaps on your customer. Go beyond category buyers by combining your first-party data and Experian's top ranked data to build custom audiences that lead to higher ROI for your advertisers. Connect with a member of our team today to get started. Latest posts

The marketing world has been preparing for years for the end of third-party cookies, and the news has shifted again. In 2025, Google paused its plan to phase out third-party cookies in Chrome, opting instead to introduce new privacy controls that let users manage how their data is shared. Even with this change, one truth remains: privacy-first; identity-driven marketing is no longer optional. For marketers, it’s about moving beyond reliance on cookies toward durable strategies built on trust, consent, and connected data. What is cookie deprecation? Cookie deprecation refers to browsers ending support for third-party cookies, which have long allowed advertisers to track user activity across multiple websites. These cookies were the foundation of behavioral targeting and attribution. By contrast, first-party cookies, created by a brand’s own website, will continue to function. They store essential information like logins or preferences and are central to modern data collection strategies. The change aims to improve privacy and transparency, giving users more control over their information. For marketers, it represents a shift from broad tracking to consented, identity-based engagement. Experian’s view: While third-party cookies may linger longer than expected, identity should remain the cornerstone of every marketing strategy. Why is cookie deprecation reshaping the industry? The shift toward privacy-first marketing didn’t begin with Google, but Chrome’s decision to limit third-party cookies has amplified the impact. Safari and Firefox removed third-party tracking years ago, but Chrome’s dominance, with roughly 65 percent of the global browser market, makes its shift a defining moment for advertisers. Apple App Tracking Transparency (ATT): Requires user permission before app tracking. Global Privacy Control (GPC): Lets users signal how their data can be shared. General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA): Enforce consent and transparency in data use. Google Tracking Protection: Now limits cross-site tracking for 1 percent of Chrome users, about 30 million people, before a full rollout. The platform response Google’s Privacy Sandbox initiative and new user privacy control interface aim to balance personalization with user protection. These updates mark a shift toward data transparency rather than full deprecation. Experian supports this evolution by helping marketers adapt through privacy-led identity, data collaboration, and measurement solutions that meet compliance standards while maintaining addressability and performance across channels. How will cookie deprecation affect marketers? Marketers will notice several shifts: Less cross-site visibility: Without third-party cookies, connecting behavior across websites becomes difficult, making it harder to attribute conversions. Greater dependence on first-party data: Data collected directly from consumers (emails, preferences, purchase history) will be crucial for targeting and measurement. Increased adoption of alternative IDs: Solutions like Experian’s alternative IDs help maintain addressability and measurement in a cookieless world. Renewed focus on contextual advertising: Relevance now depends on where an ad appears rather than who sees it. New compliance expectations: Marketers must prove transparency and respect for consent under tightening global privacy laws. What challenges should marketers expect with cookie deprecation? Marketers face both operational and strategic hurdles as third-party cookies lose value. Addressability and targeting gaps Without universal identifiers, reaching audiences across channels becomes fragmented. Advertisers must unify data from CRM systems, mobile apps, and offline touchpoints to maintain reach. Measurement and attribution complexity As cookies disappear, so do last-click and view-through models. Solutions must rely on first-party data and probabilistic modeling to evaluate performance. Privacy and consent management Data collection now requires clear opt-ins, user control interfaces, and secure consent management systems that align with IAB standards. Resource and skill constraints Testing new identity and data solutions can be costly. Smaller teams may struggle to integrate clean rooms, universal IDs, or new reporting APIs. Experian’s role: Experian supports marketers through this transition with privacy-compliant data infrastructure, identity graphs, and measurement tools that work across every major platform. How can marketers adapt to a cookieless future? Cookies may still exist, but durable identity strategies are the future of digital marketing. Here’s how to prepare: Use first-party data: Collect information directly from your customers through loyalty programs, preference centers, and interactive content. Invest in analytics that translate this data into insight. Establish a trusted identity foundation: Experian’s Digital Graph connects more than 4.2 billion digital identifiers, linking households and devices in privacy-compliant ways. That means marketers can expand their addressable reach and understand audiences without relying on cookies. Experian’s data-collaboration solutions let you combine your first-party data with partner insights securely, unlocking deeper audience understanding. Explore alternative targeting technologies: Contextual methods powered by Experian’s data accuracy ranked #1 by Truthset, help you maintain personalization while respecting privacy. See how Experian’s identity resolution and data collaboration solutions can help you adapt in a cookieless world. What are the best practices for post-cookie marketing? Be transparent: Make consent simple and clear, and show how data adds value. Experian helps brands maintain transparency through privacy-first data solutions built on consented consumer information. Prioritize data quality: High-quality, verified data builds confidence and improves ROI. Experian’s accurate and validated data assets ensure marketers reach real people with relevant messages. Choose the right partners: Work with technology providers like Experian that support privacy regulations and enable interoperability across platforms. Keep the customer experience central: Relevance and respect earn long-term loyalty, values embedded in Experian’s approach to responsible marketing. What does the future look like for advertising without cookies? The end of cookies isn’t the end of personalization. It’s a chance to design advertising that earns consumer trust. Marketers who connect data responsibly and measure real outcomes will outperform those chasing outdated identifiers. Experian already helps global brands build this future through: Consumer Sync identity solution: Enables consistent, privacy-safe engagement across channels. Consumer View data solution: Delivers compliant, data-driven insights to inform data-driven marketing decisions. Digital and Offline Identity Graph: Provides scalable connectivity across digital and offline environments for a unified customer view. Learn how Experian can help you thrive after cookie deprecation Cookie deprecation changes how digital marketing works, but it doesn’t erase the value of data. With Experian’s identity, connectivity, and trust-based solutions, you can continue reaching audiences effectively and measure what matters. Explore how Experian can help you connect confidently in a cookieless world FAQs What is cookie deprecation? Cookie deprecation refers to browsers ending support for third-party cookies, which track users across sites. This shift promotes greater privacy and transparency while encouraging marketers to use first-party and identity-based data for targeting and measurement. Why is Google Chrome phasing out third-party cookies, and what’s changed recently? As of September 2025, Google paused its plan to fully deprecate third-party cookies in Chrome. The company will introduce new user privacy controls that allow individuals to choose how their data is shared, while continuing to test privacy-preserving APIs through its Privacy Sandbox. Which browsers are affected by third-party cookie deprecation? Safari and Firefox already block third-party cookies, and other browsers have adopted similar restrictions. While Chrome’s deprecation is paused, its large user base, more than 60 percent of global traffic, means its future policies will continue to influence how marketers plan and measure campaigns. How should marketers adapt to third-party cookie deprecation? Even with Google’s pause, marketers should keep building privacy-first strategies. Focus on:- Strengthening first-party data through loyalty programs and preference centers.- Using Experian’s Digital Graph to connect audiences across devices and environments.- Activating with Consumer Sync® for consistent, privacy-safe engagement.- Collaborating securely through Experian’s data collaboration solutions, which allow brands to share insights responsibly. Latest posts