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 lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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