At A Glance
Google’s third-party cookie deprecation plans are on hold, but privacy expectations continue to rise. Marketers still need identity-based, data-responsible solutions to understand and reach audiences effectively. Experian helps brands stay connected through privacy-first identity, data collaboration, and measurement solutions that perform across channels, with or without cookies.In this article…
The marketing world has been preparing for years for the end of third-party cookies, and the news has shifted again. In 2025, Google paused its plan to phase out third-party cookies in Chrome, opting instead to introduce new privacy controls that let users manage how their data is shared. Even with this change, one truth remains: privacy-first; identity-driven marketing is no longer optional. For marketers, it’s about moving beyond reliance on cookies toward durable strategies built on trust, consent, and connected data.
What is cookie deprecation?
Cookie deprecation refers to browsers ending support for third-party cookies, which have long allowed advertisers to track user activity across multiple websites. These cookies were the foundation of behavioral targeting and attribution. By contrast, first-party cookies, created by a brand’s own website, will continue to function. They store essential information like logins or preferences and are central to modern data collection strategies.
The change aims to improve privacy and transparency, giving users more control over their information. For marketers, it represents a shift from broad tracking to consented, identity-based engagement.
Experian’s view: While third-party cookies may linger longer than expected, identity should remain the cornerstone of every marketing strategy.
Why is cookie deprecation reshaping the industry?
The shift toward privacy-first marketing didn’t begin with Google, but Chrome’s decision to limit third-party cookies has amplified the impact. Safari and Firefox removed third-party tracking years ago, but Chrome’s dominance, with roughly 65 percent of the global browser market, makes its shift a defining moment for advertisers.
- Apple App Tracking Transparency (ATT): Requires user permission before app tracking.
- Global Privacy Control (GPC): Lets users signal how their data can be shared.
- General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA): Enforce consent and transparency in data use.
- Google Tracking Protection: Now limits cross-site tracking for 1 percent of Chrome users, about 30 million people, before a full rollout.
The platform response
Google’s Privacy Sandbox initiative and new user privacy control interface aim to balance personalization with user protection. These updates mark a shift toward data transparency rather than full deprecation.
Experian supports this evolution by helping marketers adapt through privacy-led identity, data collaboration, and measurement solutions that meet compliance standards while maintaining addressability and performance across channels.
How will cookie deprecation affect marketers?
Marketers will notice several shifts:
- Less cross-site visibility: Without third-party cookies, connecting behavior across websites becomes difficult, making it harder to attribute conversions.
- Greater dependence on first-party data: Data collected directly from consumers (emails, preferences, purchase history) will be crucial for targeting and measurement.
- Increased adoption of alternative IDs: Solutions like Experian’s alternative IDs help maintain addressability and measurement in a cookieless world.
- Renewed focus on contextual advertising: Relevance now depends on where an ad appears rather than who sees it.
- New compliance expectations: Marketers must prove transparency and respect for consent under tightening global privacy laws.
What challenges should marketers expect with cookie deprecation?
Marketers face both operational and strategic hurdles as third-party cookies lose value.
Addressability and targeting gaps
Without universal identifiers, reaching audiences across channels becomes fragmented. Advertisers must unify data from CRM systems, mobile apps, and offline touchpoints to maintain reach.
Measurement and attribution complexity
As cookies disappear, so do last-click and view-through models. Solutions must rely on first-party data and probabilistic modeling to evaluate performance.
Privacy and consent management
Data collection now requires clear opt-ins, user control interfaces, and secure consent management systems that align with IAB standards.
Resource and skill constraints
Testing new identity and data solutions can be costly. Smaller teams may struggle to integrate clean rooms, universal IDs, or new reporting APIs.
Experian’s role: Experian supports marketers through this transition with privacy-compliant data infrastructure, identity graphs, and measurement tools that work across every major platform.
How can marketers adapt to a cookieless future?
Cookies may still exist, but durable identity strategies are the future of digital marketing. Here’s how to prepare:
- Use first-party data: Collect information directly from your customers through loyalty programs, preference centers, and interactive content.
Invest in analytics that translate this data into insight. - Establish a trusted identity foundation: Experian’s Digital Graph connects more than 4.2 billion digital identifiers, linking households and devices in privacy-compliant ways. That means marketers can expand their addressable reach and understand audiences without relying on cookies. Experian’s data-collaboration solutions let you combine your first-party data with partner insights securely, unlocking deeper audience understanding.
- Explore alternative targeting technologies: Contextual methods powered by Experian’s data accuracy ranked #1 by Truthset, help you maintain personalization while respecting privacy.
See how Experian’s identity resolution and data collaboration solutions can help you adapt in a cookieless world.
What are the best practices for post-cookie marketing?
- Be transparent: Make consent simple and clear, and show how data adds value. Experian helps brands maintain transparency through privacy-first data solutions built on consented consumer information.
- Prioritize data quality: High-quality, verified data builds confidence and improves ROI. Experian’s accurate and validated data assets ensure marketers reach real people with relevant messages.
- Choose the right partners: Work with technology providers like Experian that support privacy regulations and enable interoperability across platforms.
- Keep the customer experience central: Relevance and respect earn long-term loyalty, values embedded in Experian’s approach to responsible marketing.
What does the future look like for advertising without cookies?
The end of cookies isn’t the end of personalization. It’s a chance to design advertising that earns consumer trust. Marketers who connect data responsibly and measure real outcomes will outperform those chasing outdated identifiers.
Experian already helps global brands build this future through:
- Consumer Sync identity solution: Enables consistent, privacy-safe engagement across channels.
- Consumer View data solution: Delivers compliant, data-driven insights to inform data-driven marketing decisions.
- Digital and Offline Identity Graph: Provides scalable connectivity across digital and offline environments for a unified customer view.
Learn how Experian can help you thrive after cookie deprecation
Cookie deprecation changes how digital marketing works, but it doesn’t erase the value of data. With Experian’s identity, connectivity, and trust-based solutions, you can continue reaching audiences effectively and measure what matters.
Explore how Experian can help you connect confidently in a cookieless world
FAQs
Cookie deprecation refers to browsers ending support for third-party cookies, which track users across sites. This shift promotes greater privacy and transparency while encouraging marketers to use first-party and identity-based data for targeting and measurement.
As of September 2025, Google paused its plan to fully deprecate third-party cookies in Chrome. The company will introduce new user privacy controls that allow individuals to choose how their data is shared, while continuing to test privacy-preserving APIs through its Privacy Sandbox.
Safari and Firefox already block third-party cookies, and other browsers have adopted similar restrictions. While Chrome’s deprecation is paused, its large user base, more than 60 percent of global traffic, means its future policies will continue to influence how marketers plan and measure campaigns.
Even with Google’s pause, marketers should keep building privacy-first strategies. Focus on:
– Strengthening first-party data through loyalty programs and preference centers.
– Using Experian’s Digital Graph to connect audiences across devices and environments.
– Activating with Consumer Sync® for consistent, privacy-safe engagement.
– Collaborating securely through Experian’s data collaboration solutions, which allow brands to share insights responsibly.
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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
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