Artificial Intelligence, Signal Loss, and Consumer Personalization: The Rising Importance of First-Party Data in 2025
AdvertorialAs market research evolves, fully permissioned first-party data will become crucial in 2025. Three significant shifts are changing how businesses engage with consumers, making this data indispensable.
As the market research landscape continues to evolve, one thing is clear: fully permissioned first-party data will continue to take center stage and expand in importance in 2025. Three seismic shifts are fundamentally reshaping how businesses engage with and understand their consumers, making first-party data not just valuable but indispensable.
Shift #1: The explosion of large language models highlights the need for high-quality first-party data
The first transformative shift is the rapid rise of large language models (LLMs), which are revolutionizing marketing and market research just as they are across industries worldwide. These AI-driven tools promise incredible potential, but their effectiveness hinges on the quality of the data that fuels them. LLMs require high-fidelity, representative, and bias-free consumer data to generate actionable insights. First-party data, enriched with contextual details and obtained through privacy-safe, fully permissioned methods, provide a much more reliable foundation for these models than simple web scraping. Without high quality data inputs, businesses risk skewed or inaccurate predictions that could lead to flawed decision-making.
LLMs thrive on precision, and first-party data offers the granularity necessary to address unique consumer needs. For example, businesses can use these data to refine algorithms, enhance customer segmentation, and improve predictive analytics. Unlike third-party data, which often comes with gaps, biases, and inconsistencies created from modeling, first-party data are inherently more robust because it originates directly from the consumers themselves. This makes first-party data the gold standard for powering the next generation of AI-driven insights.
Shift #2: With the impending reduction of third-party cookies in Chrome, first-party data will become even more critical in measurement and building consumer trust
The second shift is the deprecation of individual-level signals, including the long-anticipated decline of third-party cookies. Starting in 2025, Google’s Chrome browser, representing more than half of all browser use globally, will prompt users to decide whether to enable third-party cookies. This move expected to reduce their prevalence by as much as 80% based on data from Dynata and others in the marketplace. This will mark the end of the era in which tracking behaviors across the web at a census level has been the norm. First-party data, gathered transparently and with explicit consent, is emerging by necessity as the cornerstone of effective measurement, targeting, and personalization strategies.
The transition away from third-party cookies underscores the importance of building consumer trust. Transparency in data collection practices will be paramount. Businesses that clearly communicate the value exchange—explaining how sharing their consumer data will be used to enhance their experience—will gain a competitive edge. This shift also places a renewed focus on data stewardship, requiring organizations to invest in secure data storage and ethical handling practices to meet evolving regulatory standards.
Shift #3: Brands can leverage first-party data to transform consumer interactions into more personalized, meaningful, and value-driven experiences
The third shift is the growing demand for personalized consumer experiences, which again amplifies the importance of first-party data. Today’s consumers have learned to expect tailored interactions and experiences, leaving businesses little choice but to abandon generic, aggregated data in favor of granular, specific approaches. First-party data enables hyper-personalized experiences that resonate with different individuals’ consumer preferences. By leveraging data directly obtained from their consumers, organizations can address these expectations while minimizing biases inherent in broader datasets. The result is deeper insights and more effective engagement.
Personalization goes beyond just targeted advertising. First-party data also allows businesses to customize product recommendations, refine user interfaces, and create bespoke customer journeys that foster loyalty. For instance, e-commerce platforms can use purchase history and browsing behavior to predict future needs, while subscription services can tailor content offerings based on observed user preferences. These applications highlight how first-party data can transform consumer interactions into meaningful, value-driven experiences.
In 2025, first-party data won’t just be critical assets for brands: they will be a competitive imperative.
These three trends are reshaping the role of data in marketing and market research. Brands, researchers, and marketers are being pushed to adopt first-party data strategies that prioritize consumer trust and transparency. This shift demands a commitment to ethical data practices, including clear communication about how data are collected, stored, and used. Organizations that lean into these strategies will not only navigate the disruptions caused by the deprecation of third-party cookies and the rise of LLMs but also position themselves as leaders in the next chapter of data-driven innovation.
To succeed, businesses must adopt a proactive approach to data management. This includes leveraging advanced tools and platforms to organize, analyze, and activate first-party data at scale. Collaboration between data scientists, marketers, and product teams will be essential to unlock the full potential of these assets. Additionally, organizations should explore partnerships and data-sharing arrangements that align with ethical guidelines to enrich their datasets without compromising consumer trust.
In 2025, first-party data won’t just be critical assets—they will be a competitive necessity. Companies that invest in building robust, permissioned data ecosystems will find themselves equipped to deliver superior consumer experiences while maintaining compliance with evolving privacy regulations. These organizations will stand out as pioneers, setting the standard for responsible and effective data-driven practices in a rapidly changing world.
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Steven Millman
Global Head of Research & Data Science at DynataThroughout my career I have had a focus on quantitative/statistical analysis, survey design, research design, and other applied research techniques. I am presently serving as Global Head of Research and Data Science at Dynata, the world's eighth largest market research company where I lead a team of over 100 researchers and data scientists. I am a frequent speaker and author, multiple Ogilvy award winner, patent holder, and recipient of the prestigious Chairman's Prize from the Publishing & Data Research Forum.
Before Dynata, I served as Chief Scientist at Simmons Research (now MRI-Simmons), where I was responsible for research, statistics, analytics, and data sciences serving on the Senior Leadership Team helping guide vision, innovation, product strategy, and data quality initiatives firm-wide.
Prior to this I served as Senior Vice President for Survey, Research, and Modeling at comScore. In this role I built a team of over 50 research professionals and statisticians conducting thousands of research projects for our clients. Before moving into the market research world, I served as the Firm-wide Lead for Opinion Research at Booz Allen Hamilton, and as the Lead Quantitative Researcher for Healthcare at BearingPoint (now Deloitte), supporting a wide variety of Federal and private clients
In my previous life I worked for several years as a political consultant, designing online fundraising tools and assisting candidates with their overall online strategies. Prior to that I taught college level classes while in my graduate program at MIT including courses on quantitative analysis and research design, public policy, American politics, voting & elections, and Constitutional law.
Specialties: Measurement Science, market research, advertising effectiveness, quantitative analysis, machine learning, research design, product development, digital measurement, survey design and analysis, advertising effectiveness, project management, proposal writing, campaigns & elections, and public policy.