Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
Get in touch
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
Latest posts
Brand and tech leaders share insights to guide marketers forward Cannes Lions 2025 brought its usual charm, rosé, and lively discussions, but what stood out was a shift in tone: brand and tech leaders aren’t talking in theories anymore – they’re rebuilding how advertising works. From identity to outcomes, the consensus was clear: marketers need bold, structural changes to thrive. At Experian, we spoke with leaders from Ampersand, Butler/Till, Comcast Advertising, Fox, OpenX, Optable, Snowflake, VideoAmp, and Yieldmo. Their message? Foundational change, not incremental tweaks, is the way forward. Here are five moves marketers and CMOs should be making right now. 1. Make identity the foundation, not an add-on Identity must be the core of your marketing strategy, not an afterthought. Building a strong identity framework from the outset ensures that your data and tech stack work seamlessly across channels. This means investing in first-party data assets and identity resolution tools that inform every campaign and tactic. Identity isn’t just a feature; it’s the base layer of everything successful marketers do today. \”There’s no AI strategy without a data and identity strategy. Marketers who want to stretch every media dollar and personalize each touchpoint need a unified, deeper view of the consumer – insight they can carry straight into downstream ad platforms.”David Wells, Snowflake Next step: Treat identity resolution as a prerequisite to every campaign, not a task to address later. Align your data management platform (DMP), customer data platform (CDP), and collaboration partners around a unified identity spine (Experian’s or your own) to ensure data flows uninterrupted from planning to reporting. 2. Curate, don\’t automate. Programmatic is getting personal Programmatic advertising remains relevant, but its purpose is evolving from mere automation to intelligent, data-driven curation. This shift requires moving beyond static site lists to dynamic, page-level contextual engines that determine, in real-time, which impressions to display. Today, it’s about carefully selecting and curating inventory to ensure transparency, quality, and relevance for your audience. Marketers are increasingly turning to private marketplaces (PMPs) that offer curated, brand safe inventory and clear supply paths to deliver meaningful results. Expect continued growth in curated PMPs, AI-assisted forecasting, and supply-side innovations that combine premium connected TV (CTV) inventory with deterministic data. The goal is to reach the right viewer and understand exactly how and why they got there. “What we’re talking about right now is almost like curation 2.0, which is bringing more of the capabilities that historically sat with the demand-side platform (DSP) into the hands of the supply-side platform (SSP) – that is, supply-side targeting, or what we call data-driven curation.\”Matt Sattel, OpenX Next step: Audit your supply chain. If you can’t clearly explain every step from bid request to delivery, explore curated deals or direct SSP partnerships that align with your quality and transparency standards. 3. Connect teams like you connect data Fragmented results often stem from fragmented teams. Persistent silos (like TV buys on one floor, digital on another, and data science somewhere else) slow down budgets and create inconsistent messaging. Forward thinking organizations are restructuring teams around unified KPIs and shared data. When planners, buyers, and analysts work together (or at least share dashboards), campaigns move faster and creative stays consistent. “We restructured our teams to focus on all forms of video – linear, streaming, and online. This allowed us to embrace partners who cross over these verticals and technical approaches.”Gina Whelehan, Butler/Till Next step: Map your current workflow end-to-end. Where does a brief stall or data stop flowing? Restructure teams or create shared success metrics to eliminate bottlenecks. 4. Turn disconnected data into unified insights Marketers have spent years gathering massive amounts of data, but hoarding data isn’t a winning strategy. The future belongs to those who can collaborate with partners to connect and utilize data effectively, all while respecting privacy and security. Rather than chasing the next data source, leading marketers are finding ways to safely connect data already available in-house or via partners. This might involve data clean rooms, secure data sharing agreements, or joint analytics initiatives – but the common thread is working together on data, not operating in isolation. “We\’ve been encouraging marketers to tie in first-party data and to really utilize that data and to work with trusted sources and deterministic sources in order to overcome a lot of the challenges around signal loss with cookies, in particular. The other way is also clean rooms. Clean rooms really enable the opportunity to collaborate in a private, safe way, and connecting to those more deterministic sources in order to deliver the results that advertisers are looking for.”Carmela Fournier, Comcast Advertising Next step: Identify gaps in your first-party data. Then, collaborate with a provider like Experian to safely match data sets and unlock insights without exposing sensitive info. 5. Focus on outcomes, not clicks Impressions, clicks, and other output metrics have been the currency of marketing for decades. But the consensus at Cannes is that those proxies aren’t enough – business outcomes are what matter now. Marketers must shift their focus to measuring real results, such as sales lift, new customer acquisition, lifetime value, or brand impact, rather than getting bogged down in intermediate metrics. This move to outcome-based measurement changes how campaigns are planned and judged: success is defined by the value created, not just the volume delivered. Unified, identity-based analytics are finally making it possible to see who saw an ad and what they did next, across TV, CTV, and digital. That intel drives smarter budget shifts and tighter creative feedback loops. “Outcome-based measurement is table stakes in today’s media ecosystem, and Ampersand has woven it into almost everything we do. Thanks to Experian’s strength in identity, audience insights, and outcome measurement, we can give advertisers the attribution they need at every stage of the funnel.”Justin Rosen, Ampersand Next step: Identify metrics that matter to your bottom line, then find a partner who can measure them accurately. If measurement stacks don’t talk to each other, they’re holding you back. Preparing for the challenges ahead The common thread across these five moves is connection – connecting data, teams, and outcomes. Marketers who act on these imperatives will be ready for whatever new screen, format, or privacy rule comes next. Experian can help you: Establish an identity spine Enable secure data collaboration in or out of clean room environments Curate premium CTV inventory with deterministic audiences Measure business outcomes across every channel Ready to make your next bold move? Let\’s start a conversation Latest posts
Marketers are searching for better ways to connect with their audiences across screens and prove results. Optimum Media is at the forefront of this development, helping brands plan, activate, and measure campaigns across linear TV, addressable TV, connected TV (CTV), digital, and social platforms. To support this approach, Optimum Media partners with Experian, combining their subscriber data with Experian’s trusted audience and identity solutions. Together, we help brands not only find the right consumers but also understand their behaviors and measure real outcomes. Here’s how Optimum Media and Experian are working together. Build a complete customer view with rich data from Experian Optimum Media starts with strong first-party data, including viewership and exposure information from millions of households. However, reaching a deeper understanding of these audiences requires more than what subscriber records alone can offer. Through Experian’s Marketing Attributes, Optimum Media gains access to thousands of demographic and behavioral attributes to its data sets. These attributes—such as income ranges, lifestyle interests, and retail purchasing behaviors—help advertisers build a more complete view of the consumer. \”We work with trusted partners like Experian to deliver the additional audience insights—like demographics and lifestyle—that are critical for our clients\’ success.\”Natalia Irmin, Sr. Director, Strategic Partnerships, Optimum Media Combining Experian’s Marketing Attributes with Optimum Media’s subscriber footprint helps brands segment audiences more precisely, develop refined media plans, and tailor messaging based on the real behaviors and interests of consumers. Move beyond basic targeting with Audience Engine To support more personalized and scalable targeting, Optimum Media uses Audience Engine—Experian’s self-service platform for audience management and activation. Through Audience Engine, Optimum Media can: Access Experian’s syndicated audiences Not just what’s available directly on their platform. Build custom segments Using Experian’s demographic and behavioral insights. Tap into our data marketplace To explore additional segments from Experian and our Partner Audiences through trusted third-party providers. These tools give Optimum Media and its clients the ability to move beyond basic targeting. Whether a brand wants to reach families preparing for back-to-school shopping, in-market car buyers, or upscale consumers planning home renovations, Audience Engine makes it possible to identify and activate those audiences with greater accuracy—based on real data, not guesswork. Extend campaign reach with Experian’s Digital Graph While Optimum Media has a substantial owned footprint, they often work with advertisers who need to extend reach beyond traditional subscriber bases. To support this, they rely on Experian’s Digital Graph. Our Digital Graph connects mobile ad IDs (MAIDs), IP addresses, CTV IDs, and hashed emails into unified household and individual profiles. This enables Optimum Media to identify and reach audiences outside of their network with the same level of accuracy as inside it. For even deeper audience insights, Digital Graph can be bundled with Marketing Attributes. This combination helps advertisers go beyond basic targeting to include real-world behaviors like shopping habits, travel preferences, and lifestyle characteristics. The result: campaigns that do more than deliver impressions—they connect with the right households across any channel. Turn viewership into measurable business outcomes One of the biggest challenges in multiscreen advertising is connecting exposure to real business results. With Experian’s solutions, Optimum Media can: Plan based on audience behaviors across screens, not just age and gender demographics. Activate household-level audiences across linear, CTV, digital, and social. Measure campaign performance using unduplicated reach, frequency, and attribution across devices. By offering advertisers access to a more complete consumer profile and maintaining consistent measurement across channels, Optimum Media and Experian help clients make better decisions about where to spend and how to adjust strategies over time. Why the Optimum Media and Experian partnership delivers Deeper audience understanding: By combining first-party viewership with Experian’s demographic and behavioral data, advertisers gain a fuller picture of who they are reaching. Seamless cross-platform execution: Identity solutions like Digital Graph allow brands to reach audiences across multiple devices and channels without losing precision. \”Optimum Media has been instrumental in helping Experian strengthen the precision, quality, and real-world applications of our data. Their ongoing feedback is invaluable in making sure our solutions continue to meet client needs and perform at the highest level.\”Chris Feo, Chief Business Officer, Experian With a single, trusted partner offering both identity and audience solutions, Optimum Media avoids the complexity many advertisers still face when piecing together different data sets and vendors. “Having Experian’s identity and audience solutions under one roof makes it easier for us to plan, reach, and measure across every channel. It’s a complete solution that simplifies advertising and improves performance.”Natalia Irmin, Sr. Director, Strategic Partnerships, Optimum Media Start building better campaigns with Experian Ready to improve your audience targeting and measurement strategies like Optimum Media? Connect with our team today to learn how Marketing Attributes, Audience Engine, Digital Graph, and our other solutions can help you build stronger, more measurable advertising campaigns. Connect with us About Optimum Media Optimum Media is a multiscreen advertising business that partners with small and medium businesses, as well as national, political, media and entertainment, and agency clients across the United States. They work with advertisers to develop custom multiscreen advertising solutions powered by proprietary technology and a massive aggregated database of audience data points and TV viewership data. Latest posts
Originally appeared in The Current Forget the cookie delay — AI is already rewriting the rules of advertising. While the industry was busy debating yet another postponement of Chrome’s third-party cookie phaseout, AI quietly became the most disruptive force in marketing. But here’s the twist: AI doesn’t work without identity. If marketers want results — real outcomes, not just impressions — they need to prioritize the data that makes AI go. First-party data strategies are now mainstream. Interoperable identity solutions like Unified I.D. 2.0 (UID2) and ID5 are gaining adoption across the open web. Connected TV (CTV) has grown into a performance-focused, cookieless channel. Contextual and geo-based targeting have become smarter and more scalable. Identity graphs are helping marketers stitch together signals across devices, platforms, and channels. The foundation for a better ecosystem isn’t being built — it’s already here. The AI hype is over — and the stakes are higher It’s no longer buzz. AI is here, and it’s already reshaping how we plan, activate, and measure advertising. We’re seeing the rise of agentic AI: systems that don’t just surface insights but act on them. These AI agents are identifying patterns, building audiences, optimizing media buys, and analyzing performance. AI is helping marketers stop guessing and start improving. But there’s a catch — one we can’t afford to overlook. AI is only as good as the data it works with. “Garbage in, garbage out.” as the saying goes. And in advertising, that means if you don’t know who you’re reaching, even the smartest AI won’t drive results. To unlock AI’s full potential, marketers need a strong, privacy-safe identity foundation. Identity is the fuel that makes AI work AI can personalize creative, optimize in-flight campaigns, and even recommend which channels to prioritize — but it can’t do any of that well without context. And context starts with identity. Identity connects signals from different devices, logins, channels, and interactions to real people. It tells your AI models who you’re talking to — not just what they clicked. That kind of clarity gives AI the power to make smarter predictions, uncover insights, and deliver relevance at scale. Without identity, AI is guessing. With identity, it’s delivering. Identity is the foundation of the outcomes era We’re living in a performance-driven age. Impressions and clicks are no longer enough. Marketers today are being judged by real outcomes: incremental sales, customer acquisition, revenue lift, and long-term value. To measure those outcomes, you need to know who you reached — and whether they took action. Identity makes that connection possible. It links ad exposure to real-world results. It enables accurate attribution across channels. It powers personalization at every stage of the journey, making every impression more valuable. This is the outcomes era, and identity is what makes it measurable. Commerce media and CTV show what’s possible Two of the fastest-growing channels — commerce media and CTV — are great examples of identity in action. Commerce media In commerce media, identity helps retailers and marketplaces organize their customer data, enrich it with external insights, and activate it across their own sites and off-site channels. It makes accurate targeting possible and gives marketers a clear ROI they can prove. CTV In CTV, identity helps solve a fundamental challenge: turning anonymous viewers into addressable audiences. On free ad-supported streaming platforms (FAST), identity solutions resolve viewership to the household level. On logged-in platforms, identity enriches profiles with behavioral and purchase data, boosting demand, improving CPMs, and growing revenue. At Experian, we’ve invested in this future. Our recent acquisition of Audigent brings together data, identity, and activation — under one roof — built to support both AI-driven planning and outcome-based performance. How marketers can win now To stay ahead in a world defined by AI and outcomes, marketers need to: Invest in omnichannel identity To unify signals across platforms and environments. Make identity actionable in real time To inform both targeting and measurement. Utilize first-party data, clean rooms, and privacy-safe partnerships To future-proof performance. Tailor identity strategies To fit their media mix — because what works in CTV may not apply to in-app or web. It’s not about rebuilding everything. It’s about building on what’s already working. Final thought: Identity is the bridge AI is raising the bar, and outcomes are the new standard. But neither works without identity. The marketers who win won’t treat identity as a compliance checkbox — they’ll treat it as their competitive edge. Get started with us today Latest posts