At A Glance
AI can make your holiday advertising more efficient, but identity makes it accurate. This season, the brands that connect their AI tools to a strong identity foundation will see measurable performance.Originally appeared in Adweek
This holiday advertising season, identity is the real differentiator
Marketers are betting big on AI to run their holiday advertising, using it to build predictive audiences, generate creative at scale, and optimize media buys in real time. The draw is clear: greater efficiency, delivered at scale.
But here’s the problem: without a solid identity foundation, AI is just guessing. And in a year when consumers are cautious and competition is fierce, guesses won’t deliver the outcomes you need.
Experian’s 2025 Holiday spending trends and insights report shows that success this season will depend on connecting the right data to the right audiences in real time.
Are shoppers really using AI to make holiday purchases?
Not yet. Only 12% of consumers plan to use AI tools to shop this season, mostly for finding discounts. Instead, trusted influences (like retailer websites, product reviews, and recommendations) still guide buying decisions.
For marketers, that’s a signal to focus on credibility and connection. AI can support your holiday advertising strategy, but trust still wins the sale.
Consumer sentiment heading into the holidays is low, but that could mislead marketers
How marketers are really using AI in holiday advertising
Behind the scenes, AI is working overtime. Teams use it to segment audiences, test creative, and optimize media in real time. These capabilities are powerful, but only if they’re grounded in accurate, persistent data.
Think about the typical holiday shopper. They may browse a product online, validate it in store, and finally purchase days later from a different device than they used while browsing. If AI isn’t anchored in identity, it struggles to connect those touchpoints. Instead of amplifying relevance, it amplifies noise.
Why identity is the GPS for AI-driven holiday advertising
Identity is what turns AI from a blunt instrument into an accurate tool. By unifying fragmented signals across channels and devices, identity provides the consistent consumer view that AI needs to be effective.
With that foundation, AI can do more than churn out models. Instead, it can:
Identity doesn’t just improve efficiency; it creates accountability. And in a season where every holiday advertising campaign dollar is scrutinized, accountability is the difference between investment and waste.
How to turn complexity into clarity this holiday season
This year’s holiday advertising season is complicated. Marketers are confident, consumers are cautious, and AI is somewhere in the middle. The challenge isn’t just speed or volume, it’s accuracy.
By pairing AI with identity, you can adapt to real behavior instead of assumptions. You can build campaigns that are consistent across connected TV, retail media, and social platforms. And you can prove results when it matters most.
AI isn’t a holiday miracle. But when it’s powered by identity, it can give you clarity in a noisy season and proof of performance when budgets are under scrutiny.
What’s the real takeaway for marketers this season?
Don’t assume AI alone will save your holiday advertising strategy. It won’t. Consumers still trust human voices more than machines, and your AI models are only as strong as the data beneath them. Identity is the difference between guesswork and accuracy, between activity and impact.
This holiday season, the winners won’t be the brands that simply spend more or automate faster. They’ll be the ones that put identity at the core of their AI strategy and meet consumers where they really are.
Download Experian’s 2025 Holiday spending trends and insights report to see where consumers are spending and how identity can help your holiday advertising campaigns more effective.
About the author
Colleen Dawe
VP, Advertiser Partnerships, Experian
Colleen Dawe is VP, Advertiser Partnerships at Experian Marketing Services, where she oversees revenue growth and client success, helping advertisers harness data and identity to fuel marketing strategies. With over 15 years of experience spanning TV and digital media, she brings deep expertise in data, identity, activation, and measurement to help her clients connect innovation with business outcomes.
Holiday advertising FAQs
AI works best when it’s grounded in accurate data. Without identity, it can’t connect actions across devices or channels, which limits its effectiveness.
Identity creates a single, persistent view of your audience. That means AI can personalize content, measure conversions, and cut waste with far greater accuracy.
It’s the data layer that connects people across their devices, browsers, and behaviors—so your campaigns reach real individuals.
By tying exposure to verified outcomes—like store visits or purchases—using identity-linked data. That’s how Experian helps brands move from impressions to impact.
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula's data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula's data quality, underscoring its position as a leader in the industry. Webbula's data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts