Traditional audience signals are fading, and the industry is facing a new reality: identity is no longer just about connectivity, it’s about outcomes. At Cannes Lions 2025, leaders from AdRoll, LG Ad Solutions, Magnite, MiQ, OpenAP, PubMatic, Stirista, Tatari shared how innovative identity approaches are cutting through the noise, improving performance, and delivering real ROI. Their insights reveal a clear path forward for those ready to turn identity into a performance driver.
Here’s how you can apply the same principles to drive performance.
1. Make identity a performance engine
Treating identity as a performance driver leads to measurable results by creating a clear connection between marketing efforts and outcomes. Identity resolution enables the effective retargeting of audiences, accurate performance attribution across connected TV (CTV), and personalized campaigns across multiple channels. By building household-level graphs and incorporating alternative identifiers, marketers can maintain accuracy as traditional signals change. Activating first-party data across both digital and offline channels ensures that every interaction, whether on-screen or in-store, can be tied back to specific actions, helping optimize campaigns, and improve ROI.
How Experian helps
Experian’s Consumer Sync solutions create a clean foundation and persistent identity spine by resolving and expanding your first-party data across digital and offline IDs (hashed emails, mobile ad IDs, CTV IDs). This enables activation across omnichannel campaigns, from CTV to social, and connects data to outcomes.
“Identity resolution is very important to our overall strategy today. Without that identity linkage, we couldn’t speak the same language as our clients. For example, a client might want to target people who engaged with their brand’s website four days ago via CRM data. Without identity resolution, that’s not possible. But with it, we’re changing the narrative – making TV a hospitable place for deploying first-party data and driving outcomes.”
LG Ad SolutionsMike Brooks
2. Build trust through responsible data practices
Consumer trust begins with responsible data practices that prioritize transparency and privacy. Deterministic match rates ensure accuracy by connecting data points with confidence, while clear methodologies provide visibility into how data is used. These practices improve overall campaign performance and protect consumer privacy by ensuring that every interaction is respectful.
How Experian helps
Experian’s privacy-first approach ensures that all data activation occurs with compliance and consent. By maintaining high match rates and adhering to transparent methodologies, Experian helps build trust and strengthen long-term connections with audiences.
“If people don’t take any precautions and they don’t actually care about data in the public, they probably don’t care about it in private. Experian cares about data privacy and compliance, and that made it a no-brainer for us to work with them. When we combined our focus on privacy with Experian’s expertise, we knew we had to do it right – and we did.”
StiristaHenry Olawoye
3. Expand reach while maintaining high match rates
Having more data points to identify individuals leads to higher match rates and broader reach. Enriching records with additional identifiers, like hashed emails, MAIDs, and CTV IDs, makes it easier to connect data across channels and create a unified view of each person. This approach ensures that campaigns can scale effectively while maintaining the accuracy needed to deliver personalized experiences.
How Experian helps
With a database of over 5,000 attributes spanning 15 verticals and categories, Experian provides a comprehensive view of consumers through a single provider. By sourcing data from over 200 sources (including public records, consumer surveys, and purchase records), Experian enables the creation of detailed audience profiles. This enriched data focuses on identity, creating a unified view of individuals that helps pinpoint the best opportunities to engage effectively across channels and deliver measurable outcomes tailored to specific audience needs.
“We’ve been able to extend our IDs by an average of 6.5 different identifiers, with a 70% match rate. That extension is huge – it underpins a lot of the connectivity in our platform and allows us to bring 300 data feeds together to make the most of them.”
MiQGeorgiana Haig
4. Create unified campaigns with interoperability
Fragmented data often leads to fragmented results. Interoperability ensures that data from different platforms and systems can work together, creating a unified view that makes measurement and attribution more actionable.
How Experian helps
Experian simplifies interoperability by ensuring consistent data usage from activation and measurement. By connecting data from various sources, Experian enables a cohesive strategy where insights can be shared across publishers, measurement providers, and ad servers, ensuring campaigns remain aligned and effective at every stage.
“The ecosystem benefits from optimized interoperability. We’re focused on allowing advertisers to work seamlessly across IDs and identity solutions – from activation to resolution – so the same data set is used consistently across publishers, measurement providers, currencies, programmatic ecosystems, and ad servers.”
OpenAPChris LoRusso
5. Use AI to amplify, not replace, strategy
Artificial intelligence (AI) is transforming how campaigns are optimized, but its success depends on clean, consented identity foundations. AI can analyze vast amounts of data to refine targeting, manage frequency, and uncover new efficiencies, but only when built on a strong identity framework.
How Experian helps
Experian uses AI and machine learning to deliver highly personalized marketing solutions. Advanced clustering algorithms in Experian’s Digital Graph analyze and create household and individual device connections, improving targeting and measurement accuracy, while machine learning models improve consumer insights by inferring household composition where data is limited. These innovations enable AI tools to quickly generate tailored audience solutions, analyze contextual signals in real time, and identify opportunities that improve results while maintaining a human centered approach to decision making.
“AI is a copilot to your marketing initiatives. For it to perform, it needs insights and information to learn from. That’s why having a strong foundational data asset rooted in deterministic data is so important.”
PubMaticHoward Luks
Five moves to turn identity into profit
Here are five steps to get started:
1. Audit your data health
Make sure your audience data is accurate, up-to-date, and complete so you’re starting from a strong foundation.
2. Layer in more context
Enrich your records with details, like lifestyle, interests, or buying behaviors, that help you speak your audience’s language.
3. Unify touchpoints across channels
Link your data so you can see the same person or household whether they’re engaging on CTV, mobile, desktop, in-store, or through other touchpoints.
4. Activate AI for stronger campaigns
Use AI tools to fine-tune targeting, control ad frequency, and find hidden opportunities once your foundation is solid.
5. Align data across systems
Ensure interoperability so data from different platforms and systems can work together, creating a unified view for actionable insights.
The common thread across these insights is connection: connecting data, teams, and outcomes. Marketers who act on these imperatives will be ready for whatever new channel, format, or privacy rule comes next.
Let’s start a conversation about how Experian can help you turn identity into ROI
Latest posts
Experian’s 2024 Holiday spending trends and insights report covers consumer spending trends for the holiday season.
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
Discover Experian’s new solution tailored for retail media networks (RMNs) designed to enhance RMNs’ strength in first-party shopper data.