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Cookie deprecation: What marketers need to know to stay connected in a cookieless world

Published: March 26, 2024 by Experian Marketing Services

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.


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.

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?

  1. 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.
  2. 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.
  3. Choose the right partners: Work with technology providers like Experian that support privacy regulations and enable interoperability across platforms.
  4. 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:

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

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FAQs

What is cookie deprecation?

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.

Why is Google Chrome phasing out third-party cookies, and what’s changed recently?

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.

Which browsers are affected by third-party cookie deprecation?

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. 

How should marketers adapt to third-party cookie deprecation? 

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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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. 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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. 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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. 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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

Mar 11,2025 by Experian Marketing Services

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