In this article…
Third-party cookies have been the foundation of targeted advertising for a long time. Around 75% of marketers worldwide rely on third-party cookies, with approximately 42.2% of websites using them to gather user data. These tiny bits of code silently track our online activities, collecting search history and product preferences to help advertisers tailor their campaigns to our needs.
However, as fears over online privacy have grown, the third-party cookie era is ending. Most American consumers are worried about data privacy when engaging with brands online. Privacy concerns are widespread across all age groups, with 82.7% of 18- to 24-year-olds and 87.8% of 55- to 65-year-olds expressing apprehension about how their data is handled, according to eMarketer.
While some other search engines have already eliminated third-party cookies, Google Chrome — which holds 65% of the global browser market — is just beginning to phase them out as new alternatives are tested. Google’s third-party cookie deprecation is expected to impact marketers in a big way.
Let’s talk about what that impact will look like and how marketers can reconcile consumer demands for browsing privacy with their preference for personalized ad experiences.
What is cookie deprecation?
Cookie deprecation is a process where web browsers, like Google Chrome, phase out the use of a specific cookie type. In the context of this article, we’re referring to third-party cookies, small pieces of data stored on a device by websites a person visits.
Advertisers and other companies use third-party cookies to track a person’s actions on the web. They help those companies learn about an individual’s interests and show them targeted ads. But over time, internet users have become more aware of cookies and how much companies know about them, so browsers are phasing out third-party cookies to respect user privacy.
The timeline and reasons behind the shift
In January 2020, Google announced it would no longer allow third-party marketing cookies by 2022. Realizing it needed to find an alternative first, it pushed the deadline back several times over the years, eventually confirming that third-party cookies would be deprecated by the end of 2024 — a big deal for the advertising industry. So, what’s the motivation behind this change?
Many people are becoming increasingly worried about online privacy and the intrusiveness of third-party cookies. In recent years, lawmakers have pressured tech companies to make changes in response to their constituents’ concerns about online privacy rights. By getting rid of third-party cookies, browsers like Chrome are trying to give users more control over their data and respect privacy demands to create a more privacy-friendly browsing experience.
This shift is part of a broader trend in the digital world toward greater privacy protections, with browsers like Firefox and Safari having already phased out third-party cookies. We’ve also seen other significant moves in this direction, including the following. These regulatory efforts reflect a growing awareness of how important it is to protect data privacy and consumer rights in a world gone digital.
- Apple’s App Tracking Transparency (ATT) framework was introduced in iOS 14.5, requiring users to get permission before tracking their data across other apps or websites.
- The Global Privacy Control (GPC) strives to improve users’ control over their internet privacy by letting them signal their preferences for data sharing.
- Europe’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA) have strict guidelines for how companies handle personal data to prioritize transparency and user consent.
Google’s most popular browser, Chrome, recently made its first big move toward third-party cookie deprecation. On January 4, 2024, Google announced the rollout of a new “Tracking Protection” feature, limiting cross-site tracking by default. They’re doing this gradually, activating the feature for 1% of random Chrome users worldwide, about 30 million people.
Google Chrome’s cookie phase-out impact
Chrome’s third-party cookie deprecation is expected to have the farthest-reaching consequences for marketers like you, as it has almost two-thirds of the browser market worldwide. It’s important to note that this phase-out specifically targets third-party cookies, not first-party cookies, which are generated and stored by the website a user visits directly and will be unaffected by this change.
Here are a few of the impacts to prepare for.
Reduced tracking capabilities
Once third-party cookies are eliminated, you may face challenges in understanding consumer behavior across different websites. Without this tracking capability, understanding your audiences and effectively tailoring advertising campaigns might become more difficult.
Required shift in strategy
It will be key for you to adapt your advertising strategies to rely less on third-party data and more on alternative targeting methods. This shift may involve greater emphasis on contextual advertising, which targets people based on the content of the websites they visit instead of browsing history, and first-party data gathered directly from site users to personalize advertising campaigns.
Additionally, in order to move beyond reliance on cookies and third-party identifiers, activation platforms like demand-side platforms (DSPs) must evolve to identify addressable IDs within bid streams. This adaptability is essential as digital advertising shifts toward privacy and cookieless environments. By being able to recognize addressable IDs in bid streams, DSPs can help facilitate more accurate, personalized targeting and help advertisers reach their audiences across channels and devices without privacy concerns. As a marketer, you should understand the capabilities of your chosen platforms and inquire about their support for evolving targeting methods and data sources.
New compliance regulations
By limiting the ability to track users across the web, Google aims to enhance user privacy and control over their data. You’ll need to embrace privacy-centric approaches to advertising to comply with evolving privacy regulations and build trust with consumers.
Challenges posed by Google’s cookie deprecation in 2024
Marketers are responding to the announcement of third-party cookie deprecation with an eye toward innovation as they proactively seek new solutions. As of early 2024, 56% of marketers in the United States were testing cookieless alternatives. Knowing their customer acquisition will be less efficient without these cookies, they’re looking for ways to maximize the value of their existing customers, increase retention, and make better use of first-party data. Others have been slow to react due to a lack of awareness or uncertainty about how to handle the changes.
Here are some additional challenges advertisers can expect to face as third-party cookies begin to be phased out.
Impact on targeting and personalization
The decline of third-party cookies is expected to have a major impact on targeting and personalization strategies. As advertisers will no longer have access to individual browsing histories, some may struggle to reach specific audiences and deliver personalized content. As a result, they have begun to explore using first-party data and contextual targeting to preserve relevance and consumer engagement.
Attribution and measurement challenges
The future removal of third-party cookies may also make it harder to measure the effectiveness of advertising and accurately attribute conversions. Marketers are currently searching for reliable alternatives to track users across channels and touchpoints. Google’s Attribution Reporting API and private aggregation methods are being explored as potential solutions to these attribution and measurement challenges.
Data privacy and compliance challenges
Future third-party cookie deprecation makes data privacy and compliance a top priority. With the introduction of stricter regulations like GDPR and CCPA, you need to ensure your data collection and usage practices comply with privacy laws. To maintain the trust of consumers and abide by regulatory requirements, it has become essential to shift toward first-party data collection and more transparent consent mechanisms.
Lack of resources to invest in alternative solutions
One of the main challenges advertisers will face with future cookie deprecation is a lack of resources to invest in alternative solutions. Many businesses don’t have the financial resources or technical expertise to explore and implement new targeting and measurement methods.
Additionally, some companies have been reluctant to adopt new solutions because they want to thoroughly test and evaluate their efficacy. The fear of investing resources in unproven technologies or strategies has led to a cautious approach among marketers and advertisers. However, this reluctance to adapt could hinder their ability to remain competitive.
Many companies may also face logistical challenges due to the complexity of transitioning from reliance on third-party cookies to alternative data sources and targeting methods. Integrating new technologies, adjusting workflows, and retraining staff requires time and effort, adding to the complexity of the transition.
Adapting to a cookieless world
Even though third-party cookies are going away, you still have other types of data in your arsenal to help you continue reaching your audience.
Use first-party data
First-party data, collected from customers or website visitors directly, offers valuable insights into consumer behavior and preferences. By investing in proven data collection methods and analytics tools, you can understand your audience more accurately and tailor your messaging and targeting accordingly.
Explore Experian’s signal-agnostic products
Experian is leading the charge in preparing marketers for a cookieless world with our audiences and foundation built from over 200 offline data sources. Our signal-agnostic Graph supports universal IDs and enables brands to expand their existing IDs to all other digital and addressable IDs within our Graph.
Advertisers can enhance their strategies by working with Experian to enrich first-party data with our demographic and behavioral attributes to gain a better understanding of audiences without cookies. Additionally, our data collaboration solutions enable marketers to collaborate with partner data, deriving greater value and enabling deeper insights for effective marketing campaigns. Experian is future-proofing identity strategies to ensure continued marketing performance and success.
Discover alternative targeting technologies
As third-party cookies become obsolete, marketers are starting to investigate alternative targeting technologies for optimizing campaigns. These may include contextual targeting, which focuses on the content and context of a user’s web browsing activity, as well as emerging solutions like cohort-based targeting, which groups users based on shared interests and behaviors. Think of third-party cookie deprecation as the opportunity to innovate and rethink strategies that have relied too heavily on one type of technology.
Best practices for marketers in the post-cookie era
Embracing best practices for a privacy-centric advertising environment can help you maintain your effectiveness and thrive in a cookieless world. Let’s talk strategies to help you succeed in the post-cookie era.
Focus on customer consent and transparency
Having consumers opt-in to sharing their data is an excellent way to build your data pool ethically. One way to do this is by encouraging users to create accounts or log in to access exclusive content or features while providing valuable information in exchange for their data. Another way is by conducting surveys or quizzes to gather insights directly from users about their preferences, interests, and behaviors. You could also use interactive content like polls and contests to engage users and collect data. These approaches can enrich your data pool while demonstrating your commitment to respecting user privacy and preferences.
Prioritize obtaining explicit consent from users before using or gathering their data for your advertising. Implement transparent data practices by clearly communicating to consumers how you’ll use their data and providing easily accessible options to manage their privacy preferences. By building trust through transparency and respecting user choices, you can forge stronger relationships with your audience.
Enhance the customer experience with quality data
In the future absence of third-party cookies, first-party data will be paramount in helping you understand and engage with your audience effectively. Invest in strategies that will help you collect high-quality data directly from customers, such as through interactive content, preference centers, and loyalty programs. By obtaining and using accurate, relevant data, you can provide personalized experiences that resonate with audiences and drive meaningful engagement.
Collaborate with evolving technology platforms
As Google’s cookie deprecation reshapes advertising, it will be important to collaborate closely with technology providers and key industry players who are adapting to these changes. Make sure your chosen platforms are keeping up with the industry and offering solutions that align with the shift to cookieless environments. Partnering with platforms that are proactively addressing these challenges will make it easier to navigate the changing marketing environment and drive better results for consumers and campaigns.
Prepare for the future of advertising with Experian
Despite the fact that third-party cookies are going away, there’s no need to panic. This change offers new opportunities for innovation and strategic refocus. With the emergence of alternative targeting methods, such as first-party data, you can still reach your target audiences effectively while respecting user privacy. By staying proactive and utilizing your available resources, you can navigate the cookieless future with confidence and continue to drive meaningful connections with your audiences.
With a robust suite of data-driven solutions and a breadth of addressable IDs, Experian can help you continue to reach and engage with your target audiences. Our Consumer Sync identity solution is signal-agnostic and empowers consistent consumer interactions, while our Consumer View data solution offers privacy-compliant data to help you connect meaningfully with consumers and reach audiences effectively. Connect with Experian today to discover how we can help you prepare for and thrive in a cookieless future.
Connect with us
Latest posts
In a perfect world, we’d all have a single, go-to grocery store that carried everything on our shopping list – fresh produce, gourmet coffee beans, rare spices, and maybe even that special-grade olive oil, right alongside our wholesale bulk purchases at unbeatable prices. It would be convenient and efficient, and it’d save a lot of driving around town. The changing data marketplace: From one-stop shop to specialized selection For a long time, data buyers enjoyed something similar in their world: a small set of large-scale data marketplaces that offered a wide array of audiences, making it easy to load up on whatever you needed in one place. Not only are there fewer places to pick everything up, but new factors like privacy and signal deprecation are placing a spotlight on quality and addressability. Just as our dinner plans are growing more ambitious insofar as we want health, flavor, value, and convenience all in one place – so are our data strategies. Instead of a single steak-and-potatoes meal, today’s data marketplace operators might be cooking up a complex menu of campaigns. As a result, data buyers are beginning to shop around. Some still rely on large-scale marketplaces for familiar staples, but now they have reasons to explore other options. Some are turning to providers known for offering top-tier, transparently sourced segments. Others are focusing on specialty providers that excel in one area. A more selective approach to data buying In this environment, choosing where to “shop” for data is becoming more deliberate and selective. Data buyers aren’t just thinking about broad scale; they’re looking to prioritize quality, durability, data privacy, and differentiation. They need to place higher value on data marketplaces that can maintain audience addressability over time, despite signal loss. Sometimes, that means accepting a smaller assortment in exchange for tighter vetting and more reliable targeting. Other times it means mixing and matching – stopping by one marketplace for premium segments and another for cost-friendly, wide-reaching data sets. Either way, they can benefit from having more choices. Experian’s marketplace: A trusted source for high-quality data Experian’s vetted and curated blend of data partners and vertically-aligned audiences offers a trusted specialty store for data buyers. Experian’s marketplace, powered by identity graphs that include 126 million households, 250 million individuals, and 4 billion active digital IDs, enables partner audiences to be easily activated and maintain high addressability across display, mobile, and connected TV (CTV) channels. In particular, Experian’s marketplace provides: Enhanced addressability and match rates All audiences delivered from the marketplace benefit from our best-in-class offline and digital identity graphs, which ensure addressability across all channels like display, mobile, and CTV. Unlike other data marketplaces, Experian ensures all identifiers associated with an audience have been active and are targetable, improving the accuracy of audience planning. Audience diversity and scale Access a broad range of audiences across top verticals from our partner audiences, which can be combined with one another and with 2,400+ Experian Audiences. The ability to join audiences across data providers ensures that buyers can build the perfect audience for the campaign. Trusted compliance and oversight With decades of experience, Experian is a trusted expert in data compliance. Our rigorous data partner review ensures available audiences comply with all federal, state, and local consumer privacy regulations. The future of data marketplaces: Precision and flexibility matter The evolution of data marketplaces reflects the industry's shifting priorities. Data buyers seek specificity, reliability, and adaptability to align with their diverse campaign needs. The best data strategy, much like the best grocery run, isn’t about grabbing everything in one place – it’s about carefully selecting the right ingredients to create the perfect recipe for success. This shift underscores the importance of flexibility and precision as data buyers navigate a landscape shaped by privacy regulations, signal loss, and evolving consumer expectations. As data marketplaces adapt to meet these demands, they are redefining what it means to deliver value. Experian’s marketplace enables buyers to strike the perfect balance between reach and quality by offering enhanced match rates, precise audience planning, and seamless distribution. In this new era, data buyers have the tools and options to craft campaigns that are impactful and aligned with the increasingly selective and privacy-conscious digital landscape. The key is recognizing that today’s data strategy is about utilizing the strengths of many to create a cohesive and effective whole. If you're interested in learning more about Experian's marketplace or becoming an active buyer or seller in our marketplace, please contact us. Contact us Latest posts
Conventional TV advertising campaigns have historically relied on general audience metrics like impressions and ratings to measure outcomes. These metrics can help marketers understand how many people have seen an ad, but they don’t reveal its real-world impact, which leaves a gap between ad exposure and results. Outcome-based TV measurement bridges this gap and helps marketers tie ad spending directly to their business goals. Instead of counting eyeballs alone, TV measurement zeroes in on what viewers do after seeing an ad — whether signing up for a service, visiting your website, or purchasing a product. TV ad measurement helps marketers adjust campaigns based on clear, trackable outcomes rather than guesswork. Let’s talk about how marketers can get started with outcome-based TV measurement and start experiencing tangible results. Why outcome-based TV measurement matters Outcome-based measurement indicates a massive shift in how marketers evaluate TV advertising success. As a principal analyst at Forrester explained, the industry is about to “move into a whole different world" where multiple metrics are tailored to advertisers’ unique goals, such as sales, store traffic, or web engagement. This shift is driven by improved tools for tracking TV outcomes, which help justify spending and clarify ROI. With TV measurement, you can see how your campaigns impact aspects of your marketing like sales and engagement. Aligning TV ad spend with business goals Every business has distinct objectives. Outcome-based measurement ties your marketing efforts to business goals and enables smarter decisions, campaign optimization, and ROI improvements. Whether you're a B2C brand wanting immediate sales or a B2B organization looking to drive website traffic, this method provides the insights needed for strategic decision-making. Marketers can deliver the most value by adjusting TV ad spending to maximize desired results: Sales goals: Identify which ads and platforms directly influence purchases to ensure TV ad spend contributes to revenue growth. Customer engagement: Link actions like website visits or app downloads to TV campaigns and refine messaging to deepen audience connections. Desired outcomes: Align ad spend with goals like consumer awareness or repeat purchases to allocate resources effectively for measurable success. Reducing wasted spend on ineffective channels Outcome-based TV measurement allows you to pinpoint which networks, times, or programs drive the most engagement and conversion. When you know your underperforming channels, you can reallocate budgets to those with a higher ROI and avoid waste. Core metrics in outcome-based TV measurement The effective implementation of outcome-based measurement requires advanced TV advertising analytics and tracking metrics that shed light on TV ad performance. Incremental lift This metric measures the increase in desired actions and business results — like purchases or site visits — that can be attributed directly to a TV campaign. Incremental lift quantifies your campaign’s impact and separates organic activity from the results your ads have driven. Let’s say a meal kit service experiences a 20% lift in subscriptions within a single week of running TV ads compared to a week without ads. They’d want to be able to isolate the impact of their ad from their organic growth so they can determine if the growth is actually a result of the TV ads or another effort. Attribution and conversions Attribution links TV ad exposure to specific customer actions, such as newsletter sign-ups and product purchases. Conversion data helps marketers understand the whole customer journey to optimize messaging, targeting, and channel mix to improve conversion rates. A retailer that knows 50% of TV ad viewers visit its e-commerce site within 36 hours of exposure could use that information to adjust the timing of its retargeting and align with site visit spikes. Audience segmentation for targeted measurement Outcome-based measurement breaks down performance across target demographics and allows for granular audience segmentation so TV ads resonate with the right audiences. For example, if a luxury brand saw better TV ad performance with high-earning Millennials, they’d want to refine their campaign messaging based on this group’s habits and preferences. Customer journey tracking Knowing how viewers move from awareness to conversion is critical. Outcome-based TV measurement helps you track the customer journey by pinpointing touchpoints where engagement happens and tying these to your TV campaigns. If a fitness brand found that TV campaigns drive app downloads, it could combine app analytics and TV exposure data to find out when most of their conversions happen after ad exposure and create follow-up messaging for that window of time. Integrating these insights with other marketing channels allows you to fine-tune your messaging, channel mix, and audience targeting to drive better outcomes and deliver more personalized customer experiences. Lifetime value (LTV) Beyond immediate conversions, outcome-based TV ad measurement helps brands identify which TV campaigns attract high-value customers with long-term revenue potential. If a financial institution ran a TV ad campaign centered on its new credit card, for instance, it could use LTV to track new cardholders and determine whether ads occurring during financial news airtime produced customers with higher average annual spend compared to other segments. How outcome-based TV measurement works Outcome-based measurement is a data-driven process that involves collecting, analyzing, and applying insights to improve TV ad performance. 1. Collect data When someone sees your TV ad, they might take action, like downloading your app or buying something. Outcome-based TV measurement begins by tracking these actions and gathering data from various sources, such as: TV viewership CRM Digital engagement Purchase behavior Cross-platform interactions And more Data integration with digital platforms Combining TV data with insights from platforms like social media or website analytics creates a more unified view of campaign performance. This integration powers easier retargeting and better alignment between digital and TV advertising strategies. Some marketers enhance this integration further using artificial intelligence (AI) to streamline data coordination and ensure campaigns are optimized for effectiveness and ROI. 2. Connect the dots Next, marketers need to find out which actions were influenced by TV ads. It’s important to ask questions like these as you work to connect the dots: Did website traffic spike right after the ad aired? Did the ad viewers match the people who signed up for the service or made a purchase? You can link TV exposure to real-world behaviors with tools and identifiers like hashed emails, device IDs, surveys, and privacy-safe data-matching techniques. 3. Analyze the data Then, the data needs to be analyzed for patterns like these: Which TV ads or time slots drove the most engagement? Did certain customer groups respond better than others? Was there a noticeable lift in sales or signups after the ad campaign? This step can help you uncover what’s working and what’s not. Role of advanced analytics and machine learning The data analysis required in this process can be overwhelming, time-consuming, and risky without the right tools. Fortunately, advanced analytics and fast, effective artificial intelligence tools can process large amounts of data from digital platforms, TV viewership, and customer interactions in less time to reveal accurate, actionable insights and patterns. They can also predict which audiences, messages, and channels will be most profitable so campaigns can adapt in real time, whether by reallocating spend to higher-performing channels or refining audience targeting. 4. Turn insights into action Once you have your data-derived insights, you can tweak your campaign in a number of ways, whether you decide to: Adjust your ads: If one message works better than another, lean into it. Refine your targeting: Focus on the audience segments most likely to act. Optimize your spend: Invest in channels or times that deliver the best return. For example, if you see that ads during prime time lead to more purchases than morning slots, you can shift your budget accordingly. This type of knowledge can be used to continuously improve your campaigns. Each time you run a new ad, you measure again, building on past insights to make your outcome-based TV advertising even smarter. Applications of outcome-based TV measurement Outcome-based TV measurement has wide-ranging applications across industries. Here’s how it’s helping businesses link TV ad exposure to real-world actions and optimize campaigns for better results. E-commerce and retail: Retailers can track how TV ads influence purchases and use those insights to refine their assets and target specific customer groups. A clothing retailer may track how well a TV ad boosts online traffic and in-store purchases. For instance, if a seasonal sale commercial correlates with a spike in website visits or mobile app downloads, the brand can refine its ad placement to focus on the most responsive demographics. Automotive: Automakers use outcome-based TV measurement insights to determine how ads drive dealership visits, test drives, or inquiries. A car manufacturer could analyze whether TV spots featuring a new vehicle increase traffic to its dealership locator or car configuration tool online. Healthcare: Pharmaceutical companies could assess whether TV spots lead to increased prescription fills, or a health provider could test how ads promoting flu shots result in appointment bookings through its website or app. If any messages resonate more with families, the provider can create similar campaigns for the future. How Experian enhances outcome-based TV measurement Experian has recently partnered with EDO, an outcomes-based measurement provider, to offer more granular TV measurement across platforms. Our identity resolution and matching capabilities enhance EDO’s IdentitySpine™ solution with rich consumer data, including age, gender, and household income, all in a privacy-centric way. Integrating these demographic attributes is helping advertisers achieve more precise audience insights and connect their first-party data to actionable outcomes. As a result of this collaboration, brands, agencies, and networks can optimize their TV campaigns by identifying which ads drive the most decisive engagement among specific audience segments. We’re improving accuracy, targeting, and more so advertisers can maximize the performance of their CTV strategies. Get in touch with Experian’s TV experts If you’re ready to take your data-driven TV advertising strategies to the next level, connect with our team. We combine advanced data and identity solutions as well as strong industry collaborations to help brands optimize their TV campaigns. Whether you're navigating traditional or advanced TV formats, our expertise ensures your efforts deliver maximum impact. Connect with us today to drive engagement, connect with audiences, and achieve better ROI. Let’s transform the way you measure success on TV. Reach out to our TV experts Contact us Latest posts
Advertising today is more complex than ever. Consumers demand personalized, relevant experiences from brands, making it increasingly challenging to meet expectations without external support. Businesses must work with publishers, retailers, and platforms to thrive, using these partnerships for data insights that refine their strategies and fuel growth. We spoke with industry leaders from Ampersand, AppsFlyer, Audigent, Comcast Advertising, Fox, ID5, and Snowflake to gather insights on how strategic collaboration can expand audience reach, improve targeting precision, and drive measurable advertising success. 1. Expand your reach with strategic collaborations Gone are the days when brands relied solely on third-party data. By linking their first-party insights with equally valuable data from partners, brands develop a far more comprehensive understanding of their audiences. This collaborative approach creates richer audience profiles, improves targeting, and enhances campaign performance. Partnerships also create opportunities for operational efficiencies. For instance, brands that share data and expertise with collaborators can expand their audience reach without overhauling existing systems. These collaborations allow marketers to work smarter, turning shared knowledge into strategic wins. "Partnerships are everything. We can't fulfill our goals on the sale side, marketers can't fulfill their goals of finding their audience where they need to reach them and with the right level of outcomes without partnering together. Why? Because each of them has their own line of sight to the data that they have access to and the data that they know best."Justin Rosen, Ampersand 2. Identify the right partnership model Choosing the right partnership model is key to achieving your business objectives. For some, pairing first-party data with publishers' insights creates better targeting. For others, aligning with complementary brands allows them to engage shared audiences. For large-scale efforts, agencies can unify collaboration frameworks, making onboarding and activation seamless. Meanwhile, emerging categories like FinTech, hospitality, and commerce media provide brands new avenues for impactful partnerships. Evaluating these options thoroughly will ensure your collaboration aligns with long-term marketing goals. "With first-party data being really the central point of signal today, we see more and more of our advertisers identifying partnerships with maybe potentially historical competitors or partners they would've never considered."Tami Harrigan, AppsFlyer 3. Utilize the power of pooled insights Combining various data sources, like CRM records, browsing behavior, and shopping receipts, creates an in-depth view of your customers. By understanding what motivates consumers at every stage of their journey, brands can better tailor messaging and funnel marketing spend to where it matters most. This approach also enables data-driven agility. Real-time insights help brands make informed adjustments, whether it’s shifting strategies mid-campaign or identifying new growth opportunities. When brands share data responsibly, the results are campaigns that resonate and deliver measurable improvements. "A lot of advertisers have gotten smarter about their data than they were just two, three years ago. They’re now doing that segmentation on their side with their data and bringing that to Fox and saying, ‘Look, match this segment against your entire user base.’ In order to do that, we can work with providers like Experian, or with data clean rooms to really bring that data and do a direct match without going through a third party."Darren Sherriff, Fox 4. Adopt the right tools and technology The right tools empower a collaborative data ecosystem. Solutions like data clean rooms ensure privacy-first data matching and measurement. Identity frameworks, such as Unified ID 2.0 (UID2) or ID5, enable secure data alignment across platforms, simplifying audience targeting while safeguarding sensitive information. Shared dashboards are another crucial tool, providing all collaborators with clear, co-owned performance metrics. Yet, while technology is an enabler, success ultimately depends on how well tools align with each partner’s goals and build trust within the collaboration. “You have to make it accessible to non-technical personas and you have to have the ability to have it stood up and pay dividends in a short amount of time. The other thing is interoperability. We very much think as an industry we need to have interoperability with clean rooms, ones that operate on different frameworks.” David Wells, Snowflake 5. Overcome barriers to collaboration Collaboration often faces obstacles, like differing goals, fragmented data, or resource gaps. Brands can tackle these issues by aligning stakeholders on clear KPIs, standardizing data-sharing practices, and selecting tools that integrate smoothly with existing systems. Breaking down barriers early fosters fluid cooperation and improves outcomes for everyone involved. When goals, tools, and resources are in sync, these partnerships deliver lasting value and stronger results. “The key is to bring together data assets and work collaboratively to address fragmentation. The way to solve that is with more interoperability and connect the data in very privacy-safe ways, offering more opportunity to reach high fidelity audiences and incorporate better measurement methodologies.”Carmela Fournier, Comcast Advertising The path to growth through partnership Those who prioritize collaboration will outrun the competition and drive sustainable growth through smarter, more connected advertising. By choosing the right models, using powerful technology, and addressing potential obstacles, brands can co-create campaigns that resonate deeply with their audiences. Connect with our experts Latest posts