As leaders head into Cannes this year, there will be plenty to talk about: AI, commerce media, identity, data collaboration, consolidation, curation, and measurement. Each one will shape how marketers plan, activate, and prove impact in the years ahead.
But the bigger conversation will be about the foundations underneath them. The market is becoming more connected, operationally complex, and concentrated, which makes independent, interoperable infrastructure more valuable. Brands, agencies, platforms, publishers, commerce media networks (CMNs) and data partners all need systems that can work together with trust, flexibility, and control.
The question I expect to hear at Cannes is: are your foundations strong enough to support connected growth?
Infrastructure now shapes how marketing works
Marketing infrastructure used to be easy to overlook. It sat behind the scenes moving data between teams, platforms, and partners, so campaigns could run and reports could get built. That view is too narrow now.
The choices companies make around data, identity, activation, collaboration, and measurement, now shape what they can do. Those choices affect which partners a brand can work with, how easily teams can connect customer signals, how quickly campaigns can move, and how clearly performance can be measured.
The more connected the ecosystem becomes, the more valuable interoperability becomes. Marketers need infrastructure that can work across agencies, platforms, publishers, commerce media networks, clean rooms, cloud environments, and connected TV (CTV). Not infrastructure tied too tightly to one commercial system or strategies that work well in one environment but break down everywhere else. Marketing needs room to adapt.
Identity connects the customer view
Identity is the connective layer that helps marketers understand who they’re trying to reach across data sources, devices, and partners. It’s the foundation that helps teams connect signals in a governed, privacy-safe way so they can plan, activate, and measure from a more consistent view of the customer.
Without that foundation every downstream decision gets weaker. Teams may have more data than ever, but they still struggle to connect it into a clear picture of who they’re trying to reach. That matters more as customers move across devices, channels, platforms, and media environments constantly. No single partner sees the full picture and no single channel carries the full journey. That’s why interoperability matters. Identity has to connect across the market, not sit inside one closed workflow.
AI raises the standard for trusted inputs and independent decisioning
AI will be one of the biggest topics at Cannes. It’s already changing how teams think about planning, decisioning, optimization, and measurement. AI makes trusted data matter more, especially as more decisions depend on the quality of the signals behind them.
AI systems are only as strong as the data feeding them, the identity layer connecting that data, and the governance controlling how that data is used. Marketers also need to understand which signals AI is using, which signals it may be favoring, and how much control the brand retains. Brands need more visibility into the intelligence guiding their investments.
This is where many leaders will need to pressure-test their strategies: are AI decisions based on data you can trust, test, govern, and move across the partners that matter to your business?
The AI conversation should always come back to data quality, identity, governance, transparency, and trust.
Commerce media needs pathways beyond owned environments
Commerce media has created powerful new opportunities for brands and commerce platforms. Commerce environments sit close to intent and can help advertisers understand what people search for, compare, consider, and buy. The next phase is about scale.
CMNs have valuable shopper and transaction signals, but owned inventory can limit reach and create friction for advertisers trying to work across many networks. The next step is helping advertisers use those audiences beyond the network’s own site or app, across channels like CTV, social, and programmatic. That requires an identity foundation that can connect customer records, reduce duplicate profiles, improve audience accuracy, and support activation and measurement across the platforms advertisers already use, without turning every campaign into a separate workflow.
This creates another path for CMNs to grow alongside their media business. It gives them more ways to create value from the signals they already have, and it gives advertisers more consistent ways to activate audiences across the market.
Curation brings data closer to supply
Curation is gaining attention for a reason. It connects audience intelligence and supply at the point of activation. Done well, it helps marketers bring data, context, and inventory together in a more intentional way. But curation only works when the foundation is strong.
It needs trusted identity, high-quality data, clear rules for how signals are used, and supply paths that marketers can understand and measure. It also needs the ability to optimize as campaigns run, so audiences, inventory, and outcomes are not treated as static decisions.
This is where curation can become more than another media tactic. It can become a practical way to connect intelligence with action, giving brands more control over where and how data informs media decisions.
Measurement is where trust is earned
Every growth conversation eventually comes back to proof. Leaders need to know what worked, where it worked, and for whom. They need to understand how activation influenced outcomes across channels and partners. They need confidence that the systems behind those answers are transparent enough to guide future decisions. Measurement confidence depends on the same foundations as everything else: identity, data quality, interoperability, collaboration, and governance. That’s why measurement should be designed into the strategy from the start.
The Cannes conversations that will matter most
The most valuable Cannes conversations this year may not be about chasing the next idea. They may be about asking better questions.
- Can our identity framework adapt as the market changes?
- Can our data strategy work across partners without locking us into one system?
- Do we know which customer signals our AI systems are using, which ones they’re prioritizing, and whether we can test that intelligence outside one system?
- Can our commerce media and curation strategies scale with control?
- Can our measurement framework give us confidence across the full journey?
At Experian, we sit across the ecosystem as an independent identity and data partner built to support flexibility, governance, and interoperability. As the market keeps changing, our role is to help you preserve control. Not by forcing a single path, but by helping identity, data, activation, and measurement work together across the broader market. For leaders heading to Cannes, that’s the conversation worth having.
About the author
Kevin Dunn
Chief Revenue Officer, Experian
Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships.
Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together.
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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 Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts