
Every year, the Experian team attends the Consumer Electronics Show (CES) in Las Vegas to study the latest technological advancements and innovations that shape the AdTech industry. The energy at CES 2025 was palpable, with a whirlwind of conversations around artificial intelligence (AI), connected TV (CTV), privacy-first solutions, and sustainability in advertising. Here are four standout themes from this year’s event.
1. The AI evolution: More buzzwords, but growing potential
AI dominated discussions this year, but the gap between hype and practical application was still evident. While some vendors showcased innovative tools for campaign optimization and audience creation, much of the buzz felt aspirational.
The use of AI to generate audiences based on new types of data is a promising sign of things to come. Data providers, including those collaborating with Experian, are beginning to test AI tools to enhance audience accuracy and scale. The AI space still feels frenetic, but the potential for transformative change is undeniable.
“AI was a hot topic, with discussions ranging from campaign optimization tools to audience selection. While many leaned on buzzwords, there were glimpses of legitimate use cases.”
Brooke Logan, VP of Data Strategy and Partnerships
2. CTV: A race for quality and curation
CTV remained a popular topic at CES, particularly around the challenges of fragmentation and scale. Sellers are grappling with an oversupply of inventory, leading to a renewed focus on curation. Conversations highlighted the importance of premium audiences, brand safety, and identity resolution. In the fragmented CTV landscape, advertisers want to be able to define an audience once, have that audience be highly addressable, and then activate everywhere.
One standout theme was the shift in CTV monetization strategies. With linear TV revenues declining, major publishers are exploring ways to maximize yields on streaming platforms. Direct-sold premium inventory still reigns, but programmatic is gaining traction—a trend we’re seeing driven by publishers seeking scalable solutions.
“CTV remains fragmented. While premium inventory is largely direct-sold, big publishers are exploring ways to boost yield on streaming as linear revenue declines.”
Lauren Portell, Sr. Account Executive, Advanced TV
3. Privacy-first solutions
The regulatory landscape continues to evolve, and advertisers are responding with innovative, privacy-centric methodologies. For industries like healthcare, privacy-first solutions are being developed from the ground up to comply with current and future regulations. The emphasis on cookieless and contextual advertising remains strong, with data providers utilizing first-party data to enrich audience targeting strategies.
“Providers across verticals that are typically more sensitive are developing methodologies from the ground up based on current and future potential privacy regulations.”
Adam Kobus, Director of Data Partnerships
4. Eco-conscious advertising: Building a sustainable future
Sustainability emerged as a growing focus, as indicated by initiatives like Scope3 and Experian’s own carbon reduction goals. Companies are exploring ways to reduce the environmental impact of ad serving and data management. For example, platforms like AdGood are transforming unused CTV inventory into opportunities for non-profit initiatives. While not strictly eco-focused, these efforts signal a shift toward more conscientious advertising practices.
“Sustainability is gaining attention, with efforts to reduce the carbon footprint through eco-conscious advertising, data management practices, and ad serving.”
Erin Wolf, Sr. Account Executive, Demand Partnerships
The buzz around Experian
The launch of the Experian marketplace and the Audigent acquisition were major talking points, underscoring Experian’s commitment to innovation in AdTech. Together, Experian and Audigent will be an end-to-end solution where publishers big and small can empower marketers to better understand their customers, create precise audience segments, and activate those audiences across the best inventory.
Likewise, Experian’s new data marketplace connects TV operators, programmers, supply partners, and demand platforms with top-tier third-party audiences across retail, CPG, health, B2B, and location intelligence. All audiences delivered from our marketplace benefit from our best-in-class offline and digital identity graphs, which ensure addressability across all channels like display, mobile, and CTV.
An exciting year ahead
CES 2025 underscored the rapid evolution of the advertising ecosystem. From AI to CTV and privacy-first solutions, the industry is adapting to new challenges and opportunities. As Experian continues to lean into these trends, our role in powering data-driven advertising through connectivity remains more focused than ever.
We’re excited to see how these themes will evolve throughout the year and look forward to collaborating with our partners to shape the future of digital advertising. Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing.
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Third-party data has become the cornerstone to improve marketing effectiveness across all types of online and offline media. Consumer packaged goods (CPG) marketing faces a challenge when utilizing this data, as sales are often made through distributors such as grocery stores or mass merchandisers rather than directly to consumers. Without customer data files that can be enriched for insight, CPG companies often base marketing decisions on custom market positioning studies, surveys and generic consumer personas. These solutions can be quite expensive and prove difficult to develop a targeted marketing program. Optimize your CPG marketing strategy We have a team of experts that leverage the wealth of our database of thousands of attributes covering more than 300 million U.S. consumers and 130 million U.S. households—to identify the demographics and attitudes of a CPG target consumer using syndicated, mobile location, social media, and online behavioral data. 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We were then able to identify the digital channels they were more actively engaged with and determine factors that influence their decision-making, such as product quality or consumer testimonials. By gaining insight into your target audience, you can create digital communication focused on specifics, like an active family looking for a quality meal. Turning insights into action by enabling targeted advertising With a better understanding of your target consumer, and the insight needed to catch their attention, you can unify your ideal target audience and serve advertising that builds brand awareness and increases conversion. Our Custom Analytics team uses advanced analytical techniques to create custom consumer personas. Our database of 130 million U.S. households is scored with a proprietary algorithm created specifically for your organization and creates audiences that are pushed to the preferred marketing channel of your target consumers. 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Among those surveyed, identity resolution strategies have surfaced as an opportunity to create more powerful customer experiences, with 66% aiming to have it help improve customer trust and implement more ethical data collection and use practices, while nearly 60% believe it will point the way to more effective personalization and data management practices. Although organizations are eager to implement identity resolution strategies, a complex web of solutions and partners makes execution a challenge. For example, respondents report using at least eight identity solutions on average, across nearly six vendor partners, and they expect that fragmentation to persist in the ‘cookieless’ future. Additionally, brands’ identity resolution technologies typically represent a patchwork of homegrown and commercial solutions. Eighty-one percent of respondents use both in-house and commercial identity resolution tools today, and 47% use a near-equal blend of the two. 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Marketers are always challenged to expand sales beyond “business as usual,” while being good stewards of company resources spent on marketing. Every additional dollar spent on marketing is expected to yield incremental earnings—or else that dollar is better spent elsewhere. You must be able to determine return on advertising spend (ROAS) for any campaign or platform you add to your marketing mix. A key driver of positive ROAS is incremental customer actions produced by ad exposure. Confident, accurate measurement of incremental actions is the goal of an effective testing program. Why do we test campaign performance? Because demonstrating incremental actions from a campaign is a victory. You can keep winning by doing more of the same. Not finding sufficient incremental actions is an opportunity to reallocate resources and consider new tactics. Uncertainty whether the campaign produced incremental actions is frustrating. Ending a profitable marketing program because incremental actions were not effectively measured is tragic. Test for success When you apply rigorous methods to test the performance of campaigns, you can learn to make incremental improvements in campaign performance. The design of a marketing test requires the following: Customer Action to be measured during the test. This action indicates a recognizable step on the path to purchase: awareness, evaluation, inquiry, comparison of offers or products, or a purchase. Treatment, i.e., exposure to a brand’s ad during a campaign. Prediction regarding the relationship between action and treatment (e.g., Ad exposure produces an increase in purchase likelihood). Experimental design is the structure you will create within your marketing campaign to carry out the test. Review of results and insights. Selecting a customer action to measure Make sure that the customer action you measure in your test is: Meaningful to the campaign’s goal. What is the primary goal of the campaign? Is it brand awareness? Web site visits? Inquiries? Completed sales? An engagement by the customer. Your measurement should capture meaningful, deliberate interaction of consumers with the brand. Attributable to advertising. There should be a reasonable expectation that ad exposure should increase, or perhaps influence the nature of customer actions. Abundant in the data. Customer action should be a) plentiful and b) have a high probability of being recorded during the ad campaign (in other words, a high match rate between actions and the audience members). Selecting campaign treatments It is best for treatments to be as specific as possible. Ad exposures should be comparable with respect to: brand and offer, messaging, call to action, and format. Making a prediction This is the “hypothesis.” Generally, you assume that exposure to advertising will influence customer actions. To do this, you need to reject the conclusion that exposure does NOT affect actions (the “null hypothesis”). Elements of an experimental design An attribution method that links each audience to their purchase action during the test. This consists of a unique identifier of the prospect which can be recognized both in records of the audience and records of the measured action during the measurement period. A target audience that receives ad exposure. A control audience that does not receive ad exposure. It provides a crucial baseline measurement of action against which the target audience is compared. Time boundaries for measurement, related to the treatment: Pre-campaign Campaign Post-campaign Randomly selected audiences (recommended) Some audience platforms, such as direct mail and addressable television operators, feature the ability to select distinct audience members in advance. Randomly selected audiences can generally be assumed to be similar in all respects except ad exposure. The lift of the action rate is simple to calculate: Campaign Lift = (Action Rate (target) / Action Rate (control)) -1 Non-randomly selected audiences are more difficult, but still possible, to measure effectively. There may be inherent biases between them that may or may not be obvious. To measure campaign performance, we must first account for any pre-existing differences in customer actions, and then adjust for these when measuring the effect of ad exposure. Typically, the pre-campaign period (and possibly the post-campaign period as well) are used to obtain a baseline comparison of actions between the two audiences. This is a “difference of differences” measurement: Baseline lift = (Action Rate (target) / Action Rate (control)) -1 Campaign Lift = (Action Rate (target) / Action Rate (control)) -1 Net campaign lift (advertising effect) = Campaign Lift – Baseline Lift Analyzing results and insights How large is the lift? 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The ability to draw confident conclusions from campaigns will allow experimentation with different strategies, tactics, and communication channels to maximize performance. These test-and-learn strategies also enhance your ability to adjust to marketplace trends by monitoring campaign performance. To learn how Experian’s solutions can help you measure the success of your marketing campaigns, watch our short video, or explore our measurement solutions.