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.
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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