At A Glance
Marketing in 2026 will hinge on connection: between AI and data accuracy, commerce media and category expansion, and curation and programmatic efficiency. These shifts mark marketing’s “6–7 moment,” when once-fragmented parts finally snap together. Experian’s 2026 Digital trends and predictions report outlines the forces shaping this more unified era.Remember when “6-7” was all over your feed and no one really knew why, but somehow everyone got it? In 2025, the internet proved that connection doesn’t always make sense — at least not at first. The “6-7” meme was random, ridiculous, and everywhere. It spread because it felt connected; an inside joke everyone could share.
Marketing in 2026 will have its own 6-7 moment. Experian’s 2026 Digital trends and predictions report explores how 2026 will be defined by connection: between activation and measurement, data and AI, platforms and outcomes. After years of fragmentation, the industry is finally unifying around shared foundations: data accuracy, identity resilience, and measurable performance.
Here are three connections to watch for in 2026.
1. AI is only as good as its data foundation
AI’s performance depends on the quality, recency, and integrity of its inputs. In 2026, marketers will recognize that the differentiator is not the algorithm itself but the data that informs it. As AI becomes embedded into workflows (from audience discovery to media optimization) accurate identity and privacy-safe data become essential.
Why it matters
Good data fuels responsible automation, predictive insight, and personalization that feels human. Without it, even the most advanced models will simply automate bad decisions faster.
What actions should marketers take to strengthen their data foundation?
To make AI adaptive, ethical, and aligned with real-world context, marketers need to strengthen the data foundation beneath it. In 2026, that means taking four core actions:
1. Prioritize accuracy
Verify data and anchor it in real human identity, rather than inferred or fragmented signals.
2. Keep data fresh
Ensure inputs stay current through continuous updates that reflect real-time consumer behavior and conditions.
3. Maintain consent standards
Source data responsibly and stay compliant with privacy regulations emerging across 20+ U.S. states.
4. Enable interoperability
Connect data securely across platforms through a signal-agnostic identity framework that supports consistency and scale.
When these elements come together, AI becomes more than just automation: it becomes adaptive, ethical, and responsive to real-world context.
2. Commerce media expands beyond retail
Commerce media is no longer just a retail play. What began as retailers monetizing their data and media has evolved into a multi-sector movement uniting data, media, and transaction insights. Auto, travel, CPG, and even financial brands are launching their own media networks or partnering with existing ones to close the loop between exposure and conversion.
More than half (58%) of advertisers are interested in advertising on non-retail media networks.
eMarketer
Why it matters
In 2026, commerce media becomes a strategy for any brand with first-party data, measurable outcomes, and the need for closed-loop insight.
What should marketers do with this expansion?
Activate beyond owned channels
Extend audiences beyond owned inventory into addressable connected TV (CTV) and open-web environments where identity links every impression to real outcomes.
Make identity the growth engine
Privacy-first identity resolution increases data addressability and keeps media measurable across every channel.
Collaborate for scale and consistency
Partner with providers that deliver transparency, interoperability, and shared measurement – not just data volume.
3. Curation becomes the programmatic standard
Curation is reshaping programmatic advertising into something more focused, efficient, and accountable. In an era shaped by privacy regulation and signal loss, curation brings identity, quality, and control together, allowing marketers to target confidently across CTV, audio, and the open web.
More than 66% of open-exchange ad spend (over $100 billion annually) now runs through curated private marketplaces (PMPs).
eMarketer
Why it matters
Curation aligns with the industry’s need foraccurateidentity, transparent supply, and stable outcomes, especially as traditional signals fluctuate.
How can marketers use curation more effectively?
Utilize supply-side innovation
Use supply-side platform (SSP) curation tools from partners like Index Exchange and Magnite to optimize in real time and keep your supply paths transparent.
Adopt curated marketplaces
Work with agency-built marketplaces from groups like GroupM and Butler/Till to control data costs, maintain transparency, and improve performance.
Activate with Experian Curated Deals
Tap high-performing audience segments, including PurpleLab’s HIPAA-compliant health audiences, through curated PMPs in leading demand-side platforms (DSPs) such as Amazon DSP.
Optimize and prove performance
Combine Experian data with Audigent supply-path intelligence to adjust campaigns mid-flight using metrics like CPM, CTR, and video completion rate.
2026 will be the 6-7 era for marketing
The “6-7” meme didn’t need to make sense to go viral. But your marketing does.
2026 will be the year marketers move from fragmentation to connection. Download Experian’s 2026 Digital trends and predictions report to explore all five digital marketing trends shaping 2026.
Ready to get started? Connect with a member of our team
About the author
Fred Cheung
Director, Partnership Sales, Audigent, a part of Experian
Fred Cheung has spent over a decade in the programmatic advertising space, with roles at Mindshare, Jounce Media, Twitter, and The Trade Desk. His deep experience in trading and product management helps in his current function on the Experian Marketing Services’ Sales team where he focuses on data growth and adoption across the industries’ leading buy-side platforms.
FAQs
Experian uses this phrase to describe the inflection point where AI, identity, commerce media, and programmatic curation finally connect in practical, scalable ways. It reflects the shift from fragmentation toward unified activation and measurement. Experian covers five digital marketing trends to watch for in 2026 in our 2026 Digital marketing trends and predictions report.
Experian provides verified consumer data, identity resolution, and privacy-first frameworks that strengthen AI accuracy. AI tools require reliable inputs, and Experian’s data foundation helps marketers apply AI in predictive modeling, audience insight, and media optimization.
Identity allows brands and media networks to connect exposure to conversion across sites, screens, and environments. Experian supports this through resilient identity frameworks that maintain recognition even as signals shift.
Experian provides high-performing audience segments and outcome-based signals that improve curated PMP performance. These capabilities give buyers more control, more stability, and clearer pathways to measurable results.
Experian’s 2026 Digital trends and predictions report outlines the five forces shaping the year ahead, including AI’s dependence on data quality, commerce media expansion, and the rise of curation.
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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