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Retail media is quickly outpacing other areas of digital advertising and is projected to grow 29% by 2025. Despite this trajectory, retail media is still relatively new compared to traditional digital media and operates like a startup in terms of tech capabilities. Sustained growth will require retail media standardization — creating consistent ways to measure and compare ad performance across retail media networks (RMNs). This standardization will be key for RMNs wanting to understand what’s driving the most value and sales for their business.
In an Interactive Advertising Bureau (IAB) study, 62% of ad buyers pointed to standardization as a top growth challenge. The current ecosystem’s inconsistent standards have prevented effective investment in measurement and limited ad buyer participation. Standardization will be necessary moving forward for effective adoption and trust in these new channels.
This article explores the challenges marketers face without retail media standardization and the collaborative efforts needed to establish consistent measurement standards across the industry.
How much standardization currently exists?
Retail media standardization is limited industry-wide, with each RMN using its own metrics and definitions; what one network calls a “conversion” might be defined differently by another. Some retail companies also sell ad space within siloed, walled-garden shopping environments, which makes it difficult for advertisers to compare performance across platforms. As a result, the current landscape lends itself to inconsistency, campaign measurement complications, and an unclear view of return on investment (ROI) across RMNs.
This fragmentation stems from how retailers have historically developed and managed customer data platforms and e-commerce websites independently, causing disparities in the types and quality of customer data available and the technologies used to manage it. Each retailer uses a unique technology stack and customer experience strategies, which means data is collected, utilized, and integrated into advertising platforms differently.
Why is standardization important?
A 2023 State of Retail Media Survey highlighted the industry’s lack of standardization as a significant obstacle to growth. The Association of National Advertisers also found that advertisers can’t fully take advantage of their retail media investments because of inconsistent measurement practices. Standardized retail media measurement practices are critical for growth. By setting consistent measurement standards across different platforms, it becomes easier for various players to:
- Assess how ads are performing
- See which strategies work across RMNs
- Optimize ad spending
- Make informed decisions
- Extract more value from advertising budgets
Ultimately, standardized metrics are a must for improving transparency, strategic effectiveness, and ROI.
Who is promoting standardization?
We’re seeing a collective push for retail media standardization by several industry stakeholders wanting a more cohesive and effective advertising ecosystem. One of the most recent efforts came from the IAB and the Media Rating Council (MRC). These organizations collaborated with brands, agencies, and RMNs to develop new guidelines for standardized measurement practices and have given the ecosystem a proposed common language for retail media measurement.
These guidelines were released in January 2024 to provide a consistent framework for the following across retail media platforms:
- Audience measurement
- Reporting
- Incrementality
- Transparency
- Viewability
- Ad delivery
- In-store advertising
Microsoft Retail Media, an early adopter of the framework, has experienced greater data transparency, accuracy, privacy, and security, which has benefited advertisers and retailers and advanced Microsoft’s position as a retail media industry leader. Widespread adoption of these guidelines has the potential to drive innovation, attract more advertisers, strengthen collaboration, grow the industry, and improve the consumer experience.
The benefits of industry standardization
A standardized retail media framework for performance measurement can benefit advertisers, retailers, media agencies, and other stakeholders in the ecosystem. Here are some ways each entity stands to benefit.
Benefits for retailers
Standardization makes it easier for retailers to demonstrate their credibility and the value of their retail media program. With uniform measurement across channels and campaigns, they can provide clear, comparable data that reflects their impact, builds trust, and encourages advertiser investment. Better campaign management efficiency also reduces the operational burden, so retailers can focus on improving customer experiences and driving sales.
Experian’s Activity Feed helps you measure performance — and understand how ads impact shopping behavior — by providing you with ad exposures in one environment (web or connected TV) that you can connect to an action in another (in-store purchase). Learn more about Activity Feed and see it in action here.
Benefits for media agencies and marketers
With standardized metrics, advertisers and media agencies have an easy, reliable way to compare metrics and assess the effectiveness of various campaigns across RMNs. This “apples to apples” comparison helps them determine which channels are truly driving better ROI so they can effectively optimize spending.
Standardization also improves collaboration with retailers and leads to more effective campaigns. Consistent guidelines can help teams create, carry out, and optimize retail media strategies and easily compare platform effectiveness.
Benefits for industry stakeholders
Industry stakeholders like technology providers and regulatory bodies can greatly benefit from standardized retail media measurement practices. Consistent measurement provides a common framework that improves transparency and trust among parties. With reliable and comparable metrics, standardization helps everyone speak the same language when it comes to performance evaluation and decision-making. This uniformity facilitates smoother interactions and partnerships between the buy and sell sides, so it’s easier to negotiate and collaborate.
Strategies for implementing retail media standardization
Standardizing measurement will require industry-wide coordination around several strategies, as outlined in best practices frameworks from standardization proponents like IAB/MRC and the Albertson’s Media Collective.
Unify reporting and performance measurement
To address the lack of standardization in performance metrics, RMNs must adopt uniform definitions and calculation methodologies for key metrics. Unified reporting in retail media requires successful stakeholder collaboration to:
- Agree on critical KPIs and reporting metrics like impressions and conversion rates
- Adopt standardized data formats and reporting tools
- Educate stakeholders
- Ensure data quality and compliance
- Continuously improve based on industry feedback
The IAB/MRC framework provides a basis for standardizing metrics for media delivery and engagement, as well as sales and conversions. This consistency helps advertisers compare performance across platforms effectively, enhancing transparency and decision-making.
Standardize product specifications
It’s important for advertisers to have consistent product specifications, as it makes it easier to create and deploy ads across multiple RMNs. To achieve this, RMNs should align ad formats, file sizes, animations, and video specifications with IAB guidelines. Following these standards will help RMNs eliminate compatibility issues, simplify adoption, and save time and resources. It’s also vital for RMNs to maintain flexibility for unique ad formats in order to encourage innovation while still benefiting from standardized specifications.
Introduce third-party verification and disclose capabilities
Introducing third-party verification for ad placement, fraud detection, brand safety, and competitive separation can improve an RMN’s credibility and transparency. By disclosing the third-party providers used and the types of verification offered, RMNs build trust with advertisers and give them the confidence they need to invest.
Additionally, RMNs should disclose their staffing, processes, technology, inventory management, targeting, creative management, and self-service offerings. Transparency in these areas helps advertisers make informed decisions, optimize ad buys, and increase efficiency. Using existing IAB verification and capability disclosure guidelines ensures reliability and a more trustworthy, efficient advertising environment.
Future retail media standardization trends
The future of retail media is poised for significant growth, especially as standardization guidelines are widely adopted and implemented. Here are some trends we expect to see as retail media ad spending grows.
Widespread RMN adoption and spending
Standardization could spur greater RMN spending and drive broad adoption by advertisers who hesitated before due to concerns about metrics and performance comparability.
New partnerships and collaborations
Standardization may lead to new partnerships that weren’t possible before:
- Brands and retailers might team up to blend advertising and sales data for better-targeted campaigns.
- AdTech companies could also partner with multiple retailers to offer unified advertising solutions.
- Retail media networks and analytics firms could collaborate to provide deep insights into consumer behavior and campaign performance.
- Partnerships among retailers, including smaller ones seeking retail media measurement uniformity, may drive further standardization and create new advertising opportunities across product categories with audience overlap.
Ad format innovation
Agreeing on common standards simplifies how ads are measured and understood. Standardization may drive down costs and free up space for more imaginative, engaging ads in the future. For instance, the IAB/MRC’s common language is helping to promote consistency and clarity and fuel innovation across the board.
Incrementality focus
As standardization becomes more widespread, there may be a growing trend toward incrementality measurement, which measures the additional impact of advertising campaigns compared to what would have happened without them. Standardized metrics can help advertisers accurately gauge and optimize campaign effectiveness and maximize their marketing investments.
Growth of cross-platform ad targeting
Standardization may drive the growth of cross-platform ad targeting. With consistent metrics and measurement standards, advertisers will be able to track and compare their ad performance across platforms more accurately. This unified approach will improve ad targeting precision and ensure a consistent impact across RMNs.
Commerce media
Commerce media is changing retail advertising with its focus on verified data and real-time transaction insights, making campaigns more efficient. This shift could push for more uniform measurement standards across platforms and level the playing field. As commerce media gains traction, its emphasis on targeted advertising and ROI measurement might pave the way for universal metrics and clearer guidelines across retail networks.
Where does this leave modern advertisers?
Retail media is still at a crossroads. If standardization doesn’t occur soon, its growth may slow. For now, advertisers are resorting to custom strategies or relying on whichever network they feel is most effective for their products. They are likely to continue investing significantly in retail media, maintaining or increasing spending in the next year.
Although RMNs continue to be challenging without formally recognized standardization guidelines, the proposed IAB/MRC guidelines provide an effective starting point.
Join forces with a strategic RMN partner
RMN success requires overcoming complicated technical hurdles that may exceed non-media business capacities. Managing data complexities, resolving identities, utilizing audience insights, and ensuring precise measurement requires specialized expertise and technologies.
We recently announced a solution tailored for RMNs. This offering enhances RMNs’ strength in first-party shopper data by using Experian’s#1 ranked identity and audience services. Our solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue.
If your organization could benefit from a partner with the requisite technological tools and insights into the retail media landscape, contact us to discover how we can help you achieve RMN success.
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Marketing without segmentation is a lot like shouting into a crowded room and hoping the right person hears you. Without a clear way to communicate in a noisy marketing environment, your message gets lost in the mix. With segmentation, you can identify your target audience, speak to their needs, and deliver the right message at the right moment. Companies that use segmentation are 130% more likely to understand customer motivations, resulting in more effective campaigns and deeper audience relationships. In this article, we’ll break down four of the most effective customer segmentation methods, when to use each, and how Experian’s audience solutions can help. What is segmentation in marketing? Segmentation is the process of splitting a large audience into smaller groups that share similar traits, like demographics, location, behavior, or firmographic characteristics. As a marketer, these segments enable you to choose channels, messaging, and offers that resonate with each group. Whether you’re targeting new homeowners in Texas, loyalty shoppers in retail, or small business decision-makers in finance, segmentation helps you stand out to them and get results. Why should marketers segment their audiences? Effective audience segmentation fuels accuracy, performance, and personalization at scale. Here\’s why you should invest your time and marketing budget in honing your audience segments. Maximize your marketing ROI Nobody wants to waste money talking to the wrong crowd. Using various methods of segmentation, you can focus on those who want to hear from you — and the payoff can be huge. For marketing channels like email, segmentation can drive up to 760% more revenue than non-segmented campaigns. The more targeted your message, the better the return. Create a unified omnichannel strategy Segmentation helps ensure that every channel, from email and social media to display, SMS, and direct mail, operates from the same playbook. Once you define your target audience segments, you also need a trusted identity partner to sync them across platforms and environments. This ensures you can deliver consistent, personalized experiences at every touchpoint and your audience receives the same message in the proper context, regardless of where they engage. Strengthen customer loyalty Roughly 75% of consumers are loyal to brands that “get” them. When you strive to understand your customers, they’re more likely to stay. Segmentation enables you to personalize communications based on your target segment’s values, behaviors, or preferences, encouraging repeat business. Expand into new markets With segmentation, you can analyze existing customers to identify common traits and use that data to pinpoint similar groups in new regions or markets. For example, if your top customers are middle-class parents in suburban areas, you can target lookalike segments in other cities with tailored messaging. This makes it easier to expand with confidence, knowing you\’re reaching people who are more likely to convert. Lower customer acquisition costs Rather than forcing you to cast a wide net, segmentation enables you to focus your budget on high-potential audiences across channels, reduce acquisition costs, and minimize wasted spend on low-intent audiences. Four segmentation methods and examples Let’s look at four different methods of market segmentation. We’ll define each, share when to use them, and give real-world examples to help you apply them. 1. Demographic segmentation Demographic segmentation breaks your audience into groups based on gender, income, age, education, marital status, occupation, and household size. It’s one of the most foundational segmentation methods because it’s easy to implement and often tied directly to buying behavior. Demographic data makes it easier to get the tone, offer, and channel right from the start. And when you combine demographic segmentation with other segmentation methods, such as behavior or location, the impact multiplies. When to use it Use demographic segmentation when your product or service is clearly more relevant to people in a specific life stage, income bracket, or household type. Among all methods of market segmentation, demographic data is often the easiest starting point. It’s especially effective for industries such as financial services, healthcare, education, retail, and others, where consumer needs change based on demographics. Examples As a real-world example, a health supplement company used Experian data to segment its ambassador program audience into four demographic groups based on lifestyle and household makeup. These included younger singles, value-seeking families, high-income spenders, and older empty nesters. Applying these insights at registration allowed the brand to deliver personalized, channel-specific communications that boosted acquisition and retention. The approach led to stronger engagement and more meaningful customer connections. 2. Geographic segmentation This method of market segmentation categorizes people by location, including country, region, state, city, zip code, or even climate. It’s a simple yet effective way to tailor your marketing, as location often influences everything from lifestyle and language to shopping habits and product needs. It’s most often used among brands with physical locations or region-specific campaigns. Whether you\’re promoting snow boots in Colorado or sunscreen in California, geographic segmentation helps you stay relevant to the local context. When to use it Geographic segmentation is ideal when your offer or message changes depending on climate, culture, availability, or local regulations. It’s also helpful for planning market expansion or testing the performance of different methods of market segmentation across regions. Examples One home furnishings retailer partnered with Experian to understand how customer needs varied across store locations. Using a mix of client data and Experian demographics, we segmented stores based on their surrounding customer base, like urban, white-collar shoppers in metro centers versus lower-income households in more remote cities. These insights enabled the retailer to tailor inventory, marketing strategies, and ad copy for each store type, resulting in more relevant customer experiences. 3. Behavioral segmentation Behavioral segmentation centers on how people live their lives — their interests, habits, and decision-making patterns. It includes factors like past purchases, engagement frequency, brand loyalty, product usage, browsing patterns, and responsiveness to offers or promotions. Among all of the segmentation methods, this one provides insight into intent, helping you go beyond who your audience is to understand what they do. You can use behavioral insights to re-engage former customers with relevant offers, reward loyal buyers with personalized perks, or guide high-intent shoppers toward conversion with timely nudges. When to use it Behavioral segmentation is best when you want to personalize based on intent, habits, or engagement stage. It\’s particularly useful for retention, reactivation, or cross-selling strategies. Examples In practice, a national big-box retailer partnered with Experian to better understand customer behavior during grocery store visits. The goal was to identify distinct “trip missions” that could drive category trial and increase basket size. We analyzed everything from basket contents to customer composition and segmented visits into 11 unique missions. For example, the “All Aisles Online” segment represented large households (often homeowners with families) stocking up on household staples through online orders. In contrast, the “Marketable Mission” segment captured smaller, likely renter households making quick trips for non-essentials. These behavioral insights empowered the retailer to adjust promotions based on the intent behind each visit, strengthen customer relationships, and drive growth. 4. Firmographic segmentation (B2B) Firmographic segmentation is like demographic segmentation for businesses. It groups B2B audiences based on attributes such as annual revenue, location, company size, industry, and organizational structure. You can also segment by job title or decision-maker role to better target key stakeholders. This method is great for aligning your messaging, sales strategy, or product offerings with the unique needs of various business types. A startup in the tech sector will likely respond to a very different pitch than an enterprise manufacturer, and firmographic data helps you speak to both with precision. When to use it Use firmographic segmentation when marketing to other businesses, especially when your product or service has different benefits depending on business size or sector. Examples Recently, a B2B client partnered with Experian to gain a deeper understanding of the revenue potential of their existing business customers. Using firmographic data, we segmented the client’s customers into distinct groups based on the characteristics most strongly tied to spending behavior. For each segment, we calculated potential spend, defined as the 80th percentile of annual spend within that segment. This allowed the client to identify high-value accounts with untapped growth potential. For example, one customer, ABC Construction, had spent $4,750. But based on their segment’s profile, their annual potential was $9,000. That insight revealed a $4,250 opportunity to deepen the relationship through more targeted marketing and sales efforts. Best practices for market segmentation Regardless of the segmentation method you use, the following best practices will help you maximize the benefits of your efforts. Start with clean, reliable data Segments are only as good as the data behind them. If your data is outdated, inaccurate, or incomplete, your segments will result in ineffective targeting and a wasted budget. Utilize accurate, compliant, up-to-date sources like Experian Marketing Data, ranked #1 in accuracy by Truthset, to ensure your targeting is on point. Test and refine segments continuously Business goals, market conditions, and behaviors are constantly changing. What worked last month or even last week might not work today. By adjusting your segments over time, you make sure your marketing stays relevant, focused, and effective. Use A/B testing, performance metrics, and audience analytics to iterate on your segments and improve results over time. Align segments with personalized messaging and offers Each segment has distinct needs, preferences, and motivations, which means generic messaging won’t resonate effectively. Once you’ve built your segments, personalize your creative, copy, and offers to appeal to each group and increase the likelihood of engagement and conversions. Integrate segmentation across all platforms If someone sees one message in an email and a completely different one in an ad or on your website, it creates confusion and weakens trust. From CRMs and email platforms to ad tech and analytics tools, make sure your segmentation method is applied consistently across every channel to improve performance and build a cohesive brand experience. Segment your audiences with Experian Effective audience segmentation is at the heart of every successful marketing strategy, but in this fragmented, privacy-conscious landscape, grouping your audience into meaningful, actionable subgroups is more challenging than ever. That’s where we come in. With coverage of the entire U.S. population, Experian helps marketers define and categorize broad audiences into precise segments using rich data on demographics, behaviors, financial profiles, and lifestyle traits. These insights make it easier to personalize messaging, optimize media spend, and drive better outcomes. From ready-to-use syndicated audiences to custom segments and even Contextually-Indexed Audiences that align targeting with content, Experian offers flexible segmentation solutions that perform across digital, TV, programmatic, and social channels. In our most recent release, we introduced over 750 new and updated audience segments across key categories, including a brand-new category for Experian, giving marketers more accurate, behavior-based targeting options than ever before. 135+ new CPG audiences, a brand-new category for Experian, built from opt-in loyalty card and receipt scan data 240+ new automotive audiences covering ownership and in-market shoppers 100+ new high-spending behavior audiences focused on specific merchant categories 24 new wealth and income segments with refined household net worth tiers 13 new lifestyle-based housing audiences for family- and household-focused targeting 250+ refreshed financial segments with improved naming conventions for better discoverability and clarity Together, these segments give marketers more accuracy to reach high-intent consumers based on real-world behaviors, spending patterns, and financial capacity. Audience solutions powered by consumer insights Experian Marketing Data, one of the most comprehensive and accurate consumer databases in the U.S., is the core of our segmentation capabilities. Backed by over 5,000 demographic and behavioral attributes, it helps you understand not just who your customers are but how they live, shop, spend, and engage, too. Each audience segment is built with privacy and precision in mind, using a blend of demographic data, financial behaviors, lifestyle signals, and media habits. With these consumer insights, we’ll help you uncover meaningful patterns that lead to smarter strategy. Experian’s pre-built audiences Our syndicated audiences are pre-built, ready-to-activate segments based on shared characteristics from age and income to purchase behavior and lifestyle indicators. When speed and scale are a priority, these segments offer a fast, effective way to reach your target audience. 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Healthcare and Life Sciences teams map the patient journey to spot care gaps and guide interventions. However, clinical records cover only what happens inside clinics, not the forces driving patient decisions. Enriching these records with lifestyle, socioeconomic, and consumer-behavior insights reveals the “why” behind health outcomes. That’s where non-clinical insights step in – revealing the real-world forces that shape patient results. To address these blind spots, Experian and Komodo Health have teamed to integrate de-identified insights from millions of patient journeys with Experian’s socioeconomic and lifestyle data. This enriched view lets enterprises see each journey in full, identify care disparities, and craft smarter strategies – while rigorously protecting privacy. Driving tangible outcomes and better patient care This collaboration focuses on turning insights into action. With Experian and Komodo\’s integrated clinical, socioeconomic, and lifestyle data, Healthcare and Life Sciences teams can move from insight to accuracy, building adherence programs, finding hard-to-reach patients, and demonstrating treatment success. They can: Layer Komodo’s de-identified patient-level medical and pharmacy insights and analytics with Experian lifestyle and socioeconomic attributes Segment patient populations by condition, treatment history, and socioeconomic status Prioritize outreach – reducing waste and focusing resources where care is needed most For instance: Neighborhood-level gaps Identify opportunities to capture untreated patients and improve clinical trial inclusion. Income-related support Flag populations most likely to benefit from cost-saving programs, ensuring communications highlight co-pay assistance or financial relief options. Inside the data stack At the core of Komodo Health\’s AI-enabled healthcare analytics platform is its Healthcare Map®. This innovative tool integrates de-identified patient-level medical and pharmacy claims data from the patient journeys of over 330 million unique individuals – providing insights on diagnoses, treatments, outcomes, and care patterns across the United States. Experian enhances this data by adding socioeconomic and lifestyle characteristics that influence up to 80% of health outcomes. Together, this combined data effectively addresses essential questions such as: Which neighborhoods face the highest diabetes risk? Where is therapy abandonment spiking? When should co-pay assistance messages drop? How can we accelerate HCP outreach or clinical-trial recruitment? Experian\’s socioeconomic and lifestyle insights: Fueling data-driven care decisions In this context, Experian provides valuable insights into socioeconomic factors and lifestyle patterns, covering everything from household composition and income ranges to psychographics and other attributes that help build a broader understanding of an individual\’s circumstances. Where deep patient understanding, health engagement, and real-world evidence converge As healthcare marketing, patient engagement, and real-world data converge, the Experian and Komodo collaboration is empowering Healthcare and Life Sciences teams with fast, actionable insights. Fusing de-identified patient-level clinical data with socioeconomic and lifestyle attributes helps teams engage the right patients, and fuels research from product launches to community programs. It elevates experiences while proving impact with real-world evidence. Ready to utilize these insights? 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