Insight
7.30.2025

First‑Party Data or Bust: How Brands Can Thrive as Third‑Party Collapses

Third-party data has long been the fuel of digital advertising, but its dominance is rapidly fading. From the imminent demise of third-party cookies to strict privacy laws and platform tracking limits, the pillars supporting third-party targeting are crumbling. For brand marketers, agency data teams, and CPG advertisers, the message is clear: it’s first-party data or bust if you want to keep reaching and understanding your audience.

In this blog, we’ll explore why third-party data is collapsing and how brands can thrive by embracing first-party strategies. We’ll highlight how industry players are adapting – from publishers like Publift to tech firms like Avenga – and offer a blueprint that combines your internal CRM/CDP data with AnthologyAI’s real-time, anonymized consumer dataset. The goal is to show how this combination unlocks privacy-first audience targeting, lookalike modeling, competitive benchmarking, and performance measurement, effectively replacing the cookie-era tactics with a more durable, ethical approach.

The Collapse of Third-Party Data

Several forces are driving the end of third-party data in marketing:

  • Browser Cookie Deprecation: Google’s Chrome (the last major holdout) is finally phasing out third-party cookies by 2024–2025, following moves by Safari and Firefox years earlier. This “deprecation of third-party cookies” is eliminating a cornerstone of digital ad tracking, leading to significant signal loss for marketers.
  • Privacy Regulations: A wave of privacy laws – from Europe’s GDPR to California’s CCPA/CPRA and numerous new state laws – is severely limiting third-party data sharing. In the U.S. alone, 5 states passed consumer data privacy acts in 2023 (with 14 states now having laws in effect and many more on the way). Brands face higher compliance risks and penalties for unauthorized data use, forcing a rethink of data strategies.
  • Platform Changes & Signal Loss: Major tech platforms are cutting off advertiser access to user data. Apple’s iOS updates (App Tracking Transparency) and browser tracking prevention measures mean less identifiers and cross-site tracking available to third parties. The industry is grappling with “the loss of third-party cookies and other signals”, as one analysis noted, creating new blind spots for marketing.

For advertisers, these shifts mean traditional third-party tracking and ad targeting methods are rapidly deteriorating. Third-party cookies in particular had issues even before their demise – they struggled to track users across multiple devices and often delivered incomplete or duplicative data, leading to wasted spend and poor attribution As these legacy signals disappear, brands are left with significant gaps in customer insight and campaign performance measurement. The only viable path forward is to replace those diminishing third-party signals with reliable first-party data.

First-Party Data: The New Imperative for Brands

As third-party options wane, first-party data – the information a company collects directly from its own customers and audiences – has become the cornerstone of modern advertising. This includes everything from website analytics and mobile app data to CRM records and loyalty program info. Critically, first-party data is collected and used within the brand’s own domain, so it faces fewer privacy roadblocks; for example, first-party cookies (set by your own site to remember user preferences) are not being phased out. In a cookieless future, data that you gather with user consent on your own channels is a stable foundation to rebuild targeting and personalization.

Industry players are already proving the power of a first-party focus. Publishers with rich first-party databases are “well positioned to survive in the cookie-free world.” Publift, for instance, has helped its clients achieve an average 55% uplift in ad revenue since 2015 by leaning into first-party data and cutting-edge programmatic technology. On the solutions side, tech firms are doubling down on first-party approaches as well. Avenga – a global IT consulting company – emphasizes first-party data in its ad-tech offerings, noting that its custom retail media solutions leverage first-party data for omnichannel targeting and programmatic revenue generation. In short, companies across the ecosystem are recognizing that first-party data isn’t just a compliance move; it’s key to maintaining marketing effectiveness when third-party tactics fall away.

A Blueprint for the Cookieless Era: First-Party Data + AnthologyAI’s Panel

Collecting more first-party data of your own is vital, but brands don’t have to go it alone. AnthologyAI’s point of view is that the strongest strategy combines a brand’s internal first-party data with an external, ethically sourced first-party panel to fill in the gaps. AnthologyAI has built a revolutionary consumer data panel (the Caden app) that allows users to willingly share their data in exchange for rewards – providing a real-time, consented stream of consumer insights. Unlike data brokers of old, who often aggregated opaque third-party info, Anthology “sources precise data directly from consumers and their interactions with brands” via a consent-based app that ethically collects data in full compliance with privacy regulations. In other words, Anthology’s dataset is first-party at its core – it comes straight from users who have opted in, creating a single source of truth that is both privacy-safe and richly detailed.

The result is a hyper-panel of consumer behavior at a scale and depth few organizations could achieve alone. AnthologyAI’s platform connects “billions of multidimensional consumer data-points in near real-time across retail, spend, location, transport, travel, entertainment, demographic, political affiliation and more”, delivering decision intelligence and predictive capabilities that traditional data sources can’t match. All these data points – from receipt-level retail purchases to geolocation pings – are continuously fed into Anthology’s AI models, which are trained on “tens of billions of unbiased, real-time behavioral signals and transactions (all sourced directly and ethically from users)”. The panel currently includes over 200,000 consumers who contribute data, with updates provided on a weekly, biweekly, or monthly basis to keep insights fresh. In terms of breadth and granularity, Anthology’s first-party dataset offers a multidimensional perspective on consumer behavior that is rarely matched in depth and breadth by other data providers.

For brands, the blueprint is to enrich your own customer data with this expansive panel data. By blending your internal CRM/CDP records with Anthology’s anonymized behavioral data, you eliminate the blind spots left by third-party decay. In fact, Anthology enables clients to “generate entirely new datasets or significantly enrich their existing ones, eliminating the dependency on internal data resources and opening up new possibilities for insights and strategy.” A retailer, for example, could take its list of loyalty program customers and merge it with Anthology’s panel to see those customers’ out-of-store purchase behavior, media consumption, travel habits, and more – all without violating privacy. Conversely, that retailer could use Anthology’s data to find high-potential prospects who resemble its best customers. This kind of enriched view is invaluable in a world where you can no longer rely on third-party cookies to infer what people are interested in. AnthologyAI’s ethical first-party panel effectively steps into the void left by cookie-based targeting, providing a richer and more compliant way to understand and reach consumers.

Unlocking Privacy-First Targeting and Insights

By combining internal and external first-party data, brands can unlock a host of advanced capabilities – all in a privacy-first manner. Here’s what becomes possible with a blueprint that unites your data with AnthologyAI’s anonymized consumer intelligence:

  • Privacy-First Audience Creation: Rather than using sketchy third-party segments, marketers can build target audiences based on real consumer actions from consented data. For instance, you could ask: “show me a cohort of women 25-40 who purchased organic baby food in the last 6 months.” AnthologyAI’s platform can generate such an audience from its panel in a compliant way – all outputs are anonymized and aggregated, with explicit user consent underpinning every data point. This means you get highly relevant audiences without compromising privacy.
  • Lookalike Modeling: With far more behavioral signals at your disposal, you can find new customers that look like your best ones. Anthology’s AI analyzes patterns across billions of data points (spending habits, brand affinities, locations visited, etc.) to identify statistically similar individuals who are likely to convert. By leveraging this “enriched behavioral data to optimize models and predict trends,” brands can supercharge customer acquisition and retention efforts. In essence, your targeting models become smarter and more predictive when they’re trained on multidimensional first-party data instead of shallow cookie profiles.
  • Competitive Benchmarking: AnthologyAI’s panel doesn’t just inform your targeting – it also provides a market-level lens for benchmarking performance. Because the data covers consumer behavior beyond just your brand, you can compare your metrics to broader trends. Want to know your share-of-wallet among customers, or how your shoppers split spend between you and a competitor? These “complex questions” can be answered via Anthology’s aggregated intelligence. Business leaders can get “out-of-the-box answers” on KPIs like category share, online vs. in-store purchase mix, brand loyalty indices and more. Such insights were hard to pin down in the cookie era; now you can measure them directly with real consumer data.
  • Performance Measurement: By merging internal and external data, brands can finally close the loop on marketing performance in a privacy-safe way. Instead of relying on cookies for attribution (which is increasingly untenable), you can use Anthology’s deterministic data to see how campaigns influence actual behavior. For example, after an ad campaign, did the exposed audience increase their spending or visits? Anthology’s near-real-time feed of transactions, locations, and other signals lets you observe these outcomes. The platform delivers “unfiltered insights into consumer behaviors, enabling precise and tailored strategic decisions” about where to invest marketing dollars. In short, you gain a clearer view of ROI and can continuously refine targeting based on what truly works, all while respecting user consent and privacy.

Conclusion: Embracing a First-Party Future

As third-party data collapses, brands that cling to old habits will find themselves increasingly in the dark. By contrast, those who pivot to a first-party data strategy – fortified with ethical data partnerships – will not only survive but thrive in the new landscape. It’s no exaggeration to say first-party data is now a mandate for survival in digital marketing’s next chapter. The good news is that the end of third-party cookies can be a catalyst for better marketing: more transparency, more relevance, and more respect for consumer privacy.

AnthologyAI’s platform offers a clear path forward for brands ready to embrace this future. By fusing your internal data with Anthology’s privacy-first, consent-based consumer dataset, you can rebuild your marketing on a foundation of trust and intelligence. The cookie era may be ending, but your ability to understand and engage customers will be stronger than ever – provided you put first-party data first. It’s first-party data or bust, and AnthologyAI stands ready to help brands make the leap and thrive in a cookieless world.

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