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.
Latest posts

To our valued customers and partners, it’s been an exciting week here at Tapad! As announced in a press release this morning, Tapad is now a member of the Experian family. We’re thrilled to continue to grow as a leader in identity resolution under the umbrella of a global expert in data, analytics and technology. Tapad and Experian are deeply connected by our commitment to serving the needs of our customers; and with a focus on quality of the data we provide, we have a common goal for the future of identity in the advertising ecosystem. As part of this announcement, we wanted to assure you, our valued customer, that we remain deeply committed to serving you today just as we always have. Nothing will change in your daily operations with Tapad. Experian immediately recognized that the success and growth of Tapad was directly tied to the strength and depth of its team members. As such, the acquisition will not result in any changes to day-to-day contacts at Tapad, or processes with weekly graph deliveries and other product support. Experian’s faith and investment in Tapad’s future and the future of identity resolution underscores what we’ve always believed our products could achieve and that we will be able to continue serving brands, advertisers, publishers, and the advertising and marketing ecosystem for years to come. On a personal note, I am excited to be transitioning my role as Chief Operating Officer of Tapad to the General Manager position of a global business that’s achieved exponential growth over the past several years; culminating in this strategic acquisition that will no doubt bring even more value to our customers in the future. We remain committed to open communication and welcome any questions you may have. Thank you,Mark Connon | General Manager, Tapad Contact us today

Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today

For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Contact us today