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Identity that pays off: How to turn quality data into measurable ROI

Published: August 27, 2025 by Experian Marketing Services

Identity done right delivers stronger outcomes

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:

Audit your data health icon

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.

Layer in more context icon

2. Layer in more context

Enrich your records with details, like lifestyle, interests, or buying behaviors, that help you speak your audience’s language.

Unify touchpoints across channels icon

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.

Activate AI for stronger campaigns icon

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.

Align data across systems icon

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

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A deep dive with an Experian partner, Index Exchange

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This makes the process more efficient and ensures advertisers see only the most relevant opportunities.  How does sell-side decisioning differ from traditional buy-side packaging?  Traditional buy-side packaging happens after impressions are sent to demand-side platforms (DSPs). Sell-side decisioning moves some of that intelligence upstream, enriching impressions earlier and reducing inefficiencies.  What does "curation" mean in this context, and how does it benefit publishers and advertisers? Curation refers to the process of organizing and enriching ad inventory with data and context. For publishers, it leads to better yield and more ad spend going directly to their media. For advertisers, it means clearer, more transparent supply paths.  How does sell-side decisioning improve privacy?  By applying audience and identity signals directly on the sell side, data stays within a secure environment. This reduces the number of platforms handling sensitive information, lowering the risk of data loss or leakage.  What role does Experian play in sell-side decisioning?  Experian provides demographic and audience insights that are activated directly at the point of decision. This helps advertisers reach the right audiences more effectively while ensuring publishers can maximize the value of their inventory.  Why is moving decisioning upstream beneficial for DSPs? When publishers and SSPs handle some decisioning earlier, DSPs can focus on campaign strategy and optimization. This creates a cleaner, more efficient process for everyone involved.  What is a deal ID, and how does it enhance privacy?  A deal ID is a unique identifier used in programmatic advertising to bundle audience and context signals securely. 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Oct 13,2025 by Experian Marketing Services

How AI, CTV, and data collaboration are changing the way we advertise

As artificial intelligence (AI), connected TV (CTV), and data collaboration continue to advance, advertisers are discovering new ways to meet audiences where they are; on their terms and in their spaces. These innovations are creating opportunities to deliver more personalized, impactful campaigns that were unimaginable just a few years ago. At Cannes Lions 2025, we sat down with industry leaders from Butler Till, Comcast Advertising, Index Exchange, IQVIA Digital, Optable, PMG, Samsung Ads, and Sports Innovation Lab. From reimagining the living room experience to using AI in practice for better outcomes, here’s what we learned about the trends driving advertising forward. 1. CTV turns living rooms into active spaces CTV has turned the living room into a hub of interaction, discovery, and commerce. Younger audiences are using their TVs like mobile devices; streaming, learning, and even controlling their homes. 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Creators build stronger connections with audiences Creators are no longer limited to social media; they are now a driving force in CTV. Creator led programming is capturing attention and driving post view actions, offering advertisers a unique way to connect with passionate, engaged audiences. By thinking of creators as “micro networks” with built in communities, advertisers can meet fans where they already gather and deliver authentic, impactful messages that resonate. How Experian helps Experian helps advertisers tap into the creator economy by identifying topical audiences that align with influencer niches—like food, travel, gaming and entertainment—and activating them across the open web. Through Audigent’s integration with DV360, brands can pair Experian's expansive audience targeting capabilities with Audigent's Curated Deals to reach engaged viewers in creator-led environments. 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Optimizing supply paths for better outcomes Supply path optimization (SPO) helps advertisers improve campaign efficiency by increasing viewability and reducing waste. Supply-side decisioning builds on this by identifying the audiences advertisers want to reach, the content those audiences consume, and the publishers with the most relevant inventory. Together, these strategies create a more intelligent and efficient ecosystem, ensuring ads are delivered in the right context, to the right people, on the right platforms.  How Experian helps Experian’s data solutions, including both Experian’s and Audigent’s contextual and identity capabilities, are available across sell-side (SSPs) and buy-side (DSPs) platforms, enabling smarter decision-making throughout the media supply chain. Audigent’s direct integrations with publishers provide an unfiltered view into available inventory, offering deeper insights that inform campaign optimization. These insights can be activated in real time and transacted within advertisers’ existing buying platforms.  By powering real-time intelligence across the ecosystem, from advertisers to DSPs, SSPs, and publishers, Experian and Audigent help drive better outcomes, more efficient media spend, and greater value for all participants.  “Sell-side decisioning activates the intelligence of the exchange, along with partners like Experian, to optimize auctions in real time. This helps pre-decision buys that flow to the DSPs, making the buying process smarter, more efficient, and ultimately driving better value for marketers and publishers.” Mike McNeeley 5. AI that streamlines agency workflows AI is a practical tool that agencies are using to streamline workflows and deliver better results. From planning and pacing to creative iteration, AI is helping teams move faster and smarter. In fact, 67% of global marketing and communications professionals now use AI for content creation frequently or all the time, underscoring its role in modern workflows. The key is to think of AI as a navigator, not a replacement. It handles repetitive tasks, freeing up teams to focus on strategy and creativity, while enabling faster tests, fewer dead ends, and better client clarity.  How Experian helps Experian uses AI and machine learning to deliver highly personalized marketing solutions. In our Digital Graph, advanced clustering algorithms analyze household and individual device connections, improving targeting and measurement accuracy. We also use AI powered audience recommendations to create tailored audience solutions for clients. Our contextual data models, powered by Audigent’s contextual engine, further improve this process by analyzing bidstream traffic in real time, ensuring audiences are aligned with the most relevant inventory.  “We’ve extended our platform with Marketplace, which lets us integrate third-party partners, new tech, and data seamlessly into activation. Clients are asking for this level of innovation, especially with the speed at which AI is evolving and transforming what’s possible in marketing.”Sam Bloom Connecting the dots: Data, creativity, and outcomes The common thread across these insights is how we connect with audiences, collaborate on data, and create meaningful outcomes. By reimagining the living room experience and utilizing AI and creator-led programming, brands are embracing innovation. How Experian helps Experian helps you build privacy-first identity foundations, collaborate seamlessly, optimize supply paths, streamline with AI, and connect through creators.  Let's start a conversation FAQs What is CTV, and why does it matter now?  CTV brings premium, interactive streaming to the largest screen at home, allowing brands to reach engaged viewers with measurable, personalized experiences.  What is data collaboration, and how does it stay privacy-first?  It’s the consented, secure use of first-party and partner data (often via clean rooms) to improve planning, activation, and measurement without exposing raw consumer data.  What do “SPO” and sell-side decisioning actually do?  SPO streamlines the path from advertiser to publisher, reducing waste and improving quality. Sell-side decisioning adds real-time intelligence to the exchange, delivering the proper context and audience more efficiently.  How are creators changing TV advertising?  Creator-led programming functions like “micro networks” with built-in communities, helping brands show up where fans are already engaged and ready to act.  How are living rooms becoming “active spaces”?  Viewers use TVs like mobile devices, discovering content, learning, shopping, and interacting; advertisers can meet their intent and drive post-view actions.  Latest posts

Oct 05,2025 by Experian Marketing Services

How Experian’s Digital Graph improved attribution accuracy for a DSP with 84% of IDs resolved

Demand-side platforms (DSPs) are more than just technology providers, they’re strategic partners, helping marketers answer the key question: “How should I spend my media budget?” A leading DSP struggled to attribute consumer actions across digital channels such as connected TV (CTV) and display. Without connecting impressions to conversions, they risked losing client trust and ROI proof. With Experian’s Digital Graph, they resolved 84% of IDs and increased match rates, strengthening attribution and client confidence. The challenge A leading DSP had trouble showing which ads drove results across CTV, display, and digital. Without linking ad views to conversions, they couldn’t prove ROI.  The missing piece was attribution. They needed to show which channels drove conversions, but without strong identity resolution, it was hard to connect CTV ads to website activity. See how Experian is shaping addressability in CTV What is Experian's Digital Graph? Built from trillions of real-time data points and updated weekly, Experian’s Digital Graph connects billions of identifiers across devices and households, such as cookies, mobile ad IDs (MAIDs), CTV IDs, IP addresses, universal IDs, and more. It gives DSPs a reliable foundation by linking these identifiers back to households and individuals, improving DSPs' ability to offer attribution by better connecting impressions to conversions. Learn more about our Digital Graph here What makes the Digital Graph unique is its scale and freshness. It ingests trillions of signals in real time and delivers updates weekly. That consistency matters: it gives DSPs confidence that they’re working with the most accurate view of digital identity. AI and machine learning (ML) are core to how we maintain that level of accuracy. Our models use sophisticated clustering algorithms to analyze device connections at both household and individual levels. By evaluating data points such as timestamps, IP addresses, user agents, cookie IDs, and device identifiers, these algorithms create precise device groupings that enhance targeting and measurement accuracy. The models are continuously refined, ensuring our clients can better understand consumer behaviors within households and activate more effective, personalized marketing. Think of it like connecting puzzle pieces scattered across devices and channels. On their own, each piece doesn’t say much. Together, they reveal the full picture of who saw an ad, engaged, and converted, and which ads performed best. Watch the video The solution By syncing its cookies with the Digital Graph, the DSP gained access to related identifiers, including:  MAIDs  CTV IDs  IP addresses  Experian cookies  This expanded identity universe gave the DSP a unified view of individuals and households, making it possible to connect impressions to conversions across devices and channels. With each weekly refresh, attribution models stayed accurate and up to date, turning fragmented signals into proof of performance.  Results Within weeks, the DSP saw measurable improvements: 84% of IDs synced 9% increase in match rates With a stronger foundation of digital identifiers, the DSP matched more MAIDs, CTV IDs, and IP addresses to conversions. This allowed them to show clients exactly which ads and channels drove ROI, transforming impression reports into actionable proof of performance and strengthening client trust. See how MiQ strengthened their Identity Spine with Experian's Digital Graph Why attribution matters now Attribution has never been more critical. With signals fading and marketing budgets under pressure, DSPs need reliable data to prove performance. Experian’s Digital Graph takes a multi-ID, always-on approach, refreshed weekly with trillions of signals. This delivers consistency and accuracy that single-point, stale-ID solutions can’t match. For this DSP, that meant transforming attribution from guesswork into clear proof, strengthening client trust, and proving ROI across channels. Download the full case study Connect with us today to see how our Digital Graph can help you maximize advertiser trust and ROI. Ready to strengthen your approach to attribution? FAQs What is Experian’s Digital Graph? Experian’s Digital Graph is a privacy-conscious identity resolution solution built from trillions of real-time data points, refreshed weekly, that links identifiers like cookies, MAIDs, CTV IDs, Unified I.D. 2.0 (UID2), ID5 IDs and IP addresses to households and individuals. How does Experian’s Digital Graph improve attribution? Experian’s Digital Graph improves attribution by connecting impressions to conversions across devices and channels, giving DSPs a clearer view of which ads and channels drove results. What makes Experian’s Digital Graph different from other solutions?  While many platforms rely on single, static IDs, Experian’s Digital Graph uses a multi-ID, always-on approach with weekly refreshed, ensuring accuracy even as signals shift. What results can DSPs expect when using Experian’s Digital Graph?  When you use Experian’s Digital Graph, you can expect higher match rates, more synced IDs, clearer attribution models, and stronger proof of ROI for your clients. Because Experian’s Digital Graph serves as the backbone of the industry, it also helps DSPs maximize the scale and reach they can deliver to advertisers. Is Experian’s Digital Graph privacy-compliant? Yes. Experian’s Digital Graph is designed with privacy in mind, ensuring compliance while still delivering accurate attribution insights. Latest posts

Oct 01,2025 by Lucy Simmonds, Content Marketing Specialist

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