At A Glance
2026 marketing trends reveal that people will spend more intentionally, prioritize value and simplicity, and expect personalization that’s transparent and privacy-first. Omnichannel journeys and micro-moments will shape how they shop, with generational differences influencing trust and digital expectations. Experian helps marketers respond with privacy-first identity, high-quality audience intelligence, and omnichannel activation that drive relevant and measurable performance.In this article…
The 2026 consumer is reconsidering how they want to engage with businesses. Research from Nielsen anticipates that in 2026, people will spend more intentionally, think more critically, and expect more from the brands they invite into their lives. They want clear value, marketing experiences that make decisions easier, and personalization that respects their privacy and improves the moment they’re in.
This change has big implications for marketers. Winning in 2026 will require understanding the motivations, concerns, and trust drivers behind consumer behavior. This means embracing a privacy-first identity foundation, deep audience intelligence, high-quality and ethically sourced data, omnichannel activation, and measurement that closes the loop across channels.
Below, we break down consumer shifts shaping 2026 and how you can translate them into practical strategies for 2026.
How will consumer behavior change in 2026, and how should marketers respond?
Consumers are going into 2026 feeling deeply cautious. According to 2026 consumer outlook data, 32.8% of global shoppers say they’re financially worse off than last year, and 73% of those consumers cite rising cost-of-living pressures as the reason.
Ultimately, people are spending, but they’re directing most of their dollars toward core categories like food, health, and household care. That mix of caution and restraint is shaping what they want from brands: clear value, relevant personalization, and simple, low-effort experiences that make choices feel easier and worthwhile.
Want more details on how consumer caution shaped the peak buying season in 2025? Explore our 2025 Holiday spending trends and insights report for insights that can set the foundation for your 2026 strategy.
Here are the consumer trends we expect to shape decision-making most in 2026 and how Experian can help you adapt.
Economic stability will outweigh values
Consumers are prioritizing the realities of their household budgets going into 2026. Global consumer research shows that environmental concerns fell from the #4 global worry to #9 in 2025, while financial pressures and geopolitical issues moved to the top of the list.
People still care about brand values, but economic stability is becoming a stronger driver behind how they decide what to buy, where to shop, and which brands they trust. Consumers want brands to be responsible, fair, and transparent, but they also expect brand values to align with their financial reality.
| Insight | Data point |
| Consumers who feel financially worse off than last year | 32.8% |
| Of those, consumers citing cost-of-living pressures | 73% |
| Environmental concerns falling in priority (2024 to 2025) | #4 to #9 in top global worries |
Source: Consumer Outlook: Guide to 2026
For your marketing, this means shifting from broad value messaging to audience-specific offers tailored to each group’s financial situation, understanding:
- Who feels financially stretched
- Who still has spending flexibility
- Who is shifting habits subtly (frequency, basket size, channel choice)
How marketers should respond to this trend
Experian helps brands read financial signals with accuracy. Using generational segments, income bands, lifestyle indicators, and geo-indexed audiences, you can distinguish between:
- Value-seeking shoppers who prioritize stretch, savings, and reliability
- Higher-income households motivated by sustainability, wellness, or premium experiences
- Multigenerational families with diverse influencers and decision drivers
- Urban vs. suburban households with different price sensitivities and convenience factors
Paired with Experian’s privacy-first identity graph, your brand can activate audiences aligned with consumer insights across commerce media networks (CMNs), connected TV (CTV), social platforms, and programmatic channels using curated private marketplaces (PMPs). This ensures your messaging reflects the financial realities of consumers in 2026. Experian’s predictive insight capabilities also help forecast shifts in financial mindset, enabling you to anticipate change instead of reacting to it.
As financial caution shapes everyday choices, the next question becomes how to remove friction and deliver value in ways that feel simple, relevant, and worth the spend.
Consumers will prioritize value, simplicity, and relevance
With everyday expenses still weighing on households, people will likely simplify their shopping habits in 2026. They want brands to make decisions easier, save them time, and offer clear value without extra effort.
Instead of wading through endless choices or chasing promotions, shoppers are responding to experiences that feel straightforward and trustworthy, with:
- Transparent pricing
- Clear benefits
- Recommendations aligned to budget and needs
- Frictionless decision paths
For your brand, it’ll be essential to deliver carefully crafted and targeted messages at the right moment, rather than overwhelming consumers with excessive messaging. Experian helps you pinpoint what value looks like for different audiences and tailor relevant experiences.
How marketers should respond to this trend
To meet consumers’ demand for value and simplicity, you’ll need to understand what “easy” and “worth it” mean to each audience before you activate a campaign. Experian enables this by identifying the moments, motivations, and household realities that shape how people simplify decisions.
Using Experian’s lifestyle indicators, category affinities, geo-indexed spend patterns, and financial mindset segments, you can quickly pinpoint:
- Which audiences want streamlined choices (e.g., fewer SKUs, clearer value cues)
- Which shoppers expect premium quality without complexity
- Which households prioritize speed and convenience over price
- Which consumers prefer digital-first journeys vs. in-store simplicity
Then, through Experian’s privacy-first identity graph, you can reliably reach these audiences across CMNs, CTV, social, and digital environments with:
- Product recommendations that reduce decision fatigue
- Promotions tuned to value drivers
- Creative that matches each audience’s expectations for ease
- Consistent messaging that aligns across all channels
Experian’s AI-powered simplicity helps reduce manual effort in this process, enabling your team to uncover opportunities, streamline workflows, and focus more time on strategy and outcomes. And as Experian continues to explore agentic workflows, you’ll be able to move from manual audience setup to intelligent audience discovery — enabling strategies you may not have considered before.
Once you’ve simplified the experience, consumers will expect the next layer of relevance: helpful, respectful personalization grounded in the data they choose to share.
People want personalization on their terms
According to Qualtrics’ 2026 Consumer Experience Trends Report, consumers still want personalization going into 2026, but they expect it to happen on their terms:
| Insight | Data point |
| Prefer personalized experiences | 64% |
| Say benefits outweigh privacy trade-offs | 39% |
| Feel uncomfortable with many data-driven personalization tactics | 32% |
Source: 2026 Consumer Experience Trends Report
First-party data is now the foundation of meaningful, privacy-first engagement. Consumers are far more willing to share information when the value exchange is obvious and when they feel in control of how that data is used. They expect brands to:
- Use only necessary data
- Explain how personalization improves the experience
- Offer easy preference controls
- Demonstrate transparent, privacy-first data practices
As your brand lives up to these expectations, trust grows, and consumers become more willing to share the first-party data you need for impactful, privacy-centric personalization in 2026.
Experian helps you meet these needs with Audience Engine, a self-service activation tool that enables you to quickly and accurately view and activate your first-party data and partner segments across 200+ platforms without high operational overhead. And when you need deeper insight, it also connects 3,500+ syndicated audiences and 20+ trusted third-party providers, so you can enrich your first-party data with privacy-safe insights.
This includes Experian’s most recent 2025 Syndicated Audiences release, which adds 400+ updated segments — including 62 Auto Loyalists — giving you a more granular, privacy-safe view of shifting values, lifestyle preferences, and intent signals for 2026. These segments break out characteristics by generation, income, gender, and urbanicity, so your brand can analyze where demand is rising and how behaviors differ across audience groups.
For example:
- An automaker can target Auto Loyalists: Acura with model-specific offers
- A luxury brand can activate Auto Loyalists: Alfa Romeo and adjust messaging by income band, age, urbanicity, or lifestyle
Used together, first-party data and enriched syndicated audiences allow you to personalize responsibly, target more effectively, and respond to 2026 consumer expectations while respecting their privacy wishes.
How marketers should respond to this trend
The future of personalization in 2026 is first-party and zero-party data, supported by a trustworthy identity framework.
Experian enables this through:
- Identity resolution connected to 95% of U.S. households
- Privacy-first activation across digital, CTV, and CMNs
- Data modernization that maintains accuracy and compliance
- Responsible automation that delivers high-performance, human-centered personalization consumers want in 2026
- Mosaic® USA, our household-level consumer classification system that provides a privacy-safe view of lifestyles and preferences so you can apply personalization intelligently across channels
- Audience Engine, which lets you activate and enrich your first-party data for richer, permission-based insights
- Marketing Attributes, which gives you access to thousands of demographic, behavioral, lifestyle, financial, and interest characteristics
As soon as your brand earns permission to personalize, the next expectation is to apply that personalization across channels.
Omnichannel behavior and real-time micro-moments will define how people shop
Consumers don’t differentiate between channels anymore. They want a seamless, cohesive shopping journey. Consumer buying trends indicate that people are shopping more frequently but purchasing fewer items per trip. This suggests more small, mission-driven decisions, often triggered by digital or mobile discovery.
As shoppers move fluidly between mobile, in-store, CTV, and social platforms, they rely on time-saving cues, simple comparisons, and contextual recommendations instead of complex decision-making processes. CMNs now influence choices across the digital shelf, in-store screens, and publisher networks, blurring the lines between media and commerce. Speed also matters; anything longer than next-day delivery reduces the likelihood of a purchase.
These behaviors create more micro-moments: quick, intent-driven decisions shaped by life stage, financial mindset, household composition, real-time signals, and micro-behaviors like quick trips, small-basket missions, and mobile search checks. Meeting consumers in these moments requires contextual relevance, not broad targeting.
How marketers should respond to this trend
Experian helps you act on omnichannel and micro-moment behavior by unifying identity and audiences across:
- CMNs
- CTV
- Social platforms
- Programmatic partners
- Retail media publishers
- In-store digital environments
Meanwhile, our audience assets give you the contextual accuracy these moments demand with:
- Geo-indexed spenders to understand financial posture and neighborhood patterns
- Generational household segments to reflect digital comfort and shopping rhythms
- Lifestyle and interest indicators aligned to real-life needs
- In-market and behavioral signals to reach consumers at the moment intent appears
With privacy-first identity resolution anchoring it all, your brand can deliver consistent sequencing, informed personalization, and accurate measurement across channels. This is essential when omnichannel is the expectation and micro-moments decide who wins the sale.
As these real-time behaviors shift, generational differences will further shape how consumers navigate channels, interpret value, and decide which brands earn their loyalty.
What’s new with Experian Marketing Data?
Explore hundreds of new and updated segments now available — auto, income, lifestyle, spend, TV, and more.
How are generational shifts shaping 2026 consumer behavior?
Generational dynamics are also likely to play a significant role in how people discover, evaluate, and buy in 2026. While every age group is prioritizing value, simplicity, and trust, they express these priorities differently.
Experian’s Syndicated Audiences updated for November 2025 include 61 new demographic segments — broken out by generation, income band, gender, and urbanicity — to help you reach each group with accuracy. These segments are informed by decades of responsible automation and predictive modeling, giving you a clearer view of how each group behaves, even as signals shift.
For example, a retail brand can use the Gen X Dual-Income Households segment to reach value-driven, digitally engaged shoppers, while another brand might activate Millennial Urban Professionals to tailor offers based on lifestyle, income, or urbanicity.
Here’s how key generations will shape buying and the Experian segments that can help you act on these customer insights.
Gen Z expects transparency, authenticity, and digital ease
- Values: Transparency, authenticity, responsible data use
- Digital behavior: Always-on, mobile-first, social and creator-influenced
- Decision drivers: Trust, clarity, seamless digital experiences
- Relevant Experian segments: Gen Z Urban Households, Gen Z Renters
Millennials seek value alignment, financial flexibility, and reliability
- Values: Fair pricing, quality, reliability
- Digital behavior: Efficiency-focused omnichannel shoppers
- Decision drivers: Time savings, cost relief, trust
- Relevant Experian segments: Millennial Urban Professionals, Millennial Parents
Gen X is increasingly digital, highly value-conscious, and loyal
- Values: Reliability, clarity, long-term value
- Digital behavior: Digitally engaged but friction-averse
- Decision drivers: Practicality, stability, predictable service
- Relevant Experian segments: Gen X Dual-Income Households
As these generational differences shape how people discover, evaluate, and buy, one theme unites every age group: trust now determines whether a brand earns attention, data, and loyalty. With today’s consumers scrutinizing how their information is used, that trust might just be what helps you succeed in 2026.
Why is trust the new currency in data-driven marketing?
In 2026, trust will differentiate the brands that flourish. Consumers want:
- Clear data practices
- Transparent value exchanges
- Confidence that brands are honoring their preferences
And as signals decline, first-party data strategies supported by privacy-first identity resolution and responsible automation have become the reliable, transparent foundation for trust-driven marketing.
Experian’s long-standing focus on data accuracy, modernization, and compliance — from quarterly releases and updates to our twice-yearly attribute retirement process — ensures you activate with the most current, ethical, and regulation-aligned data available. These practices strengthen consumer trust and drive more accurate targeting, better match rates, and measurable performance across channels.
This focus on accuracy, governance, and transparency also underpins Experian’s approach to ethical AI, ensuring innovations serve people first while giving you confidence in every decision.
How can marketers apply 2026 consumer insights today?
As trust becomes the deciding factor in whether consumers engage, share data, or stay loyal, marketers need clear ways to operationalize that trust. Fortunately, the insights shaping 2026 translate directly into practical actions your team can take right now.
Here’s where you can start:
- Audit your first-party data strategy and CRM hygiene
- Invest in scalable, privacy-first identity resolution
- Tailor messaging to financial attitudes, not just demographics
- Use Experian’s audience segments to match consumer values, generational traits, and urbanicity
- Build journey-based activation across mobile, CTV, social, and CMNs
- Implement measurement and closed-loop analytics so every activation feeds intelligence back into planning
- Evaluate where predictive insight and responsible automation can reduce manual work and improve outcomes
With Experian, you can reach the right people with the right message at the right moment with accuracy they can trust. Teams gain the predictive insight and responsible automation needed to act on these shifts at scale.
Looking for more insights into the year ahead?
If you’re planning for 2026, consumer behavior is just the starting point. Experian’s 2026 Digital trends and predictions report takes you deeper into the forces reshaping marketing —from AI moving from hype to implementation and the evolution of commerce media beyond retail.
What role does Experian play in helping brands activate data-driven marketing?
As you put these 2026 consumer insights into practice, the challenge becomes turning strategy into scaled, privacy-safe execution. Experian’s data, identity, and activation infrastructure can make the difference:
- Identity as the foundation: Connect first-party data to 95% of U.S. households for a unified, privacy-first view.
- Privacy-first activation: Engage audiences safely across every channel with compliant targeting.
- Actionable data depth: Combine demographic, behavioral, contextual, and household-level attributes to enrich insights.
- Omnichannel reach: Activate at scale across CTV, CMNs, social, programmatic, and in-store environments.
- Closed-loop measurement: Tie exposure to outcomes across channels, enabling more effective optimization and continuous improvement.
These capabilities provide your brand with the clarity, confidence, and control necessary for future success — powered by Experian’s human-centered approach to AI, which combines privacy-first clarity, predictive insight, AI-powered simplicity, real-time intelligence, and transparent innovation to deliver trust, accuracy, and measurable performance in 2026.
Build your 2026 strategy with data you can trust
Those who win in 2026 will be the ones who turn shifting consumer behavior into actionable intelligence rooted in trusted identity, accurate data, and measurement that proves what works. With economic caution shaping decisions, rising privacy expectations, and omnichannel journeys becoming the norm, brands that invest now in a strong data and identity foundation will be the ones that stay visible, relevant, and resilient.
Experian gives you that foundation by unifying identity, high-quality data, activation, and closed-loop measurement through a human-centered approach to AI. With privacy-first clarity, predictive insight, AI-powered simplicity, real-time intelligence, and transparent innovation, Experian helps you understand your audiences deeply, reach them responsibly, and adapt in real time as the market evolves.
2026 is coming fast. Now’s the moment to build a high-performance strategy.
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FAQs
The biggest consumer trends for 2026 revolve around intentional spending, value-conscious choices, low-effort experiences, and personalization that feels transparent and trustworthy. Consumers are cautiously optimistic but still managing tight budgets, prioritizing essentials, and gravitating toward brands that simplify decisions with clear value and relevant experiences that meet them across channels. Personalization remains a differentiator when it’s rooted in responsible data use and clear benefits.
You can use 2026 consumer insights to identify your highest-opportunity audiences, match your messaging and offers to their financial reality and values, and build journey-based activation across channels instead of working in silos. Experian’s identity graph and audiences help you connect online and offline behavior into a single, actionable view.
Experian’s identity graph helps marketers in 2026 by providing a privacy-first, unified view of consumers across channels, connecting first-party data to 95% of U.S. households. This allows you to recognize individuals and households accurately, enrich their data with reliable attributes, and activate personalized experiences across digital, CTV, and CMNs with confidence.
The result is better targeting, higher match rates, and more consistent, relevant engagement at every touchpoint. All of this is further strengthened by Experian’s human-centered approach to AI, which enhances clarity, accuracy, and real-time relevance.
Privacy-first marketing uses consumer data responsibly and transparently to improve the customer experience. In 2026, consumers still want personalization but are more selective about how their data is used.
With privacy-first marketing, you build trust by explaining why data is collected, giving people control, and personalizing only with consented, high-quality data. Experian supports this through our Responsible Data Practices, which prioritize fairness, accuracy, transparency, security, and inclusion.
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With U.S. brands expected to invest over $28 billion in connected TV (CTV) in 2024, balancing linear TV and CTV is now a top priority. Advertisers need to integrate these platforms as the TV landscape evolves to reach audiences with various viewing habits. A successful strategy requires both linear and CTV approaches to effectively reach audiences at scale. We interviewed experts from Comcast Advertising, Disney, Fox, Samsung Ads, Snowflake, and others to gain insights on the evolving landscape of linear and CTV. In our video, they discuss audience fragmentation, data-driven targeting, measurement challenges, and more. Watch now to hear their perspectives. Five considerations for connecting with linear TV and CTV audiences 1. Adapt to audience fragmentation With consumers' rapid shift toward streaming, it's easy to overlook the enduring significance of linear TV, which still commands a large portion of viewership. According to Jamie Power of the Walt Disney Company, roughly half of the current ad supply remains linear, highlighting the need for brands to adapt their strategies to target traditional TV viewers and cord-cutters. As streaming continues to rise, ensuring your strategy integrates both CTV and linear TV is crucial for reaching the full spectrum of audiences. "I don't think that we thought the world would shift so quickly to streaming, but it's not always just all about streaming; there's still such a massive audience in linear."Jamie Power, Disney 2. Combine linear TV’s reach with CTV’s precision Blending the reach of linear TV with the granular targeting capabilities of CTV allows advertisers to engage both broad and niche audiences. Data is critical in understanding audience behavior across these platforms, enabling brands to create highly relevant campaigns tailored to specific audience segments. This strategic use of data enhances engagement and ensures that the right viewers see advertising campaigns. "The future of TV is really around managing the fragmentation of audiences and making sure that you can reach those audiences addressably wherever they're watching TV."Carmela Fournier, Comcast Advertising 3. Manage frequency across platforms Cross-platform campaigns require managing ad frequency to avoid oversaturation while ensuring adequate exposure. With a variety of offline and digital IDs resolved to consumers, our Digital and Offline Graphs can help maintain consistent messaging across linear TV and CTV. This approach allows advertisers to strike the right balance, preventing ad fatigue and delivering the right audience reach for campaign impact. "You've got to make sure that you're not reaching the same homes too many times, that you're reaching everybody the right amount of times."Justin Rosen, Ampersand 4. 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Ideas include: Regularly updating creative Adjusting the media mix Utilizing real-time data insights to ensure campaigns remain relevant "At Fox we were a traditional linear company, and essentially what we're trying to do is merge the reach and the scale of TV as well as the reach and the scale of all the cord-cutters and cord-nevers that Tubi possesses." Darren Sherriff – FoxDarren Sherriff, Fox As streaming TV rapidly changes, brands must stay ahead of trends and shifts in consumer behavior to tap into CTV's growing potential. By focusing on these opportunities, advertisers can blend linear TV and CTV, ensuring their campaigns reach audiences wherever they watch. Connect with Experian's TV experts As a trusted leader in data and identity services, Experian offers the expertise to help you succeed in television marketing. With our strong partnerships with key players in the TV industry, we provide access to unique marketing opportunities. Learn how Experian’s data and identity solutions can deliver outstanding results in advanced TV advertising. Partner with us today to enhance your marketing strategies using our Consumer View and Consumer Sync solutions. Connect with our TV experts Contact us Latest posts
In this article…Understanding the AI revolution in commerceFour benefits of the AI revolution coming to commerceFuture trends and predictionsChart the future of commerce with Experian Technology is pushing the boundaries of commerce like never before. Artificial intelligence (AI) is one of the primary driving technologies at the forefront of the commerce evolution, using advanced algorithms to revolutionize marketing and personalize customer experiences. As of 2024, AI adoption in e-commerce is skyrocketing, with 84% of brands already using it or gearing up to do so. This article explores the AI revolution coming to commerce, focusing on what makes AI a driving force for e-commerce in particular, and the ways it's reshaping how businesses engage with consumers. Understanding the AI revolution in commerce AI is quickly reshaping commerce as we know it by democratizing access to sophisticated tools once reserved for large corporations, breaking down functional silos within organizations, and integrating data from multiple sources to achieve deeper customer understanding. It’s paving the way for a future where every brand interaction is uniquely crafted for the individual, powered by AI systems that anticipate preferences proactively. AI is a broad term that encompasses: Data mining: The gathering of current and historical data on which to base predictions Natural language processing (NLP): The interpretation of human language by computers Machine learning: The use of algorithms to learn from past experiences or examples to enhance data understanding The capabilities of AI have significantly matured into powerful tools that can improve operational efficiency and boost sales, even for smaller businesses. They have also fundamentally changed how businesses interact with customers and handle operations. As AI continues to develop, it has the potential to provide even more seamless, personalized, and ethically informed commerce experiences and establish new benchmarks for engagement and efficiency in the marketplace. Four benefits of the AI revolution coming to commerce Major commerce players like Amazon have benefited from AI and related technologies for a while. Through machine learning, they’ve optimized logistics, curated their product selection, and improved the user experience. As this technology quickly expands, businesses have unlimited opportunities to see the same efficiency, growth, and customer satisfaction as Amazon. Here are four primary benefits of AI adoption in commerce. 1. Data-driven decision making AI gives businesses powerful tools to analyze large amounts of data more quickly and accurately than a person. Through advanced algorithms and machine learning, AI can sift through historical sales data, customer behavior patterns, and market trends to uncover insights and suggest actions that might not be immediately obvious to human analysts. By transforming raw data into actionable insights, AI empowers businesses to make more informed decisions, reduce risks, and capitalize on opportunities. As a real-world example, Foxconn, the largest electronics contract manufacturer worldwide, worked with Amazon Machine Learning Solutions Lab to implement AI-enhanced business analytics for more accurate forecasting. This move improved forecasting accuracy by 8%, saved $533,000 annually, reduced labor waste, and improved customer satisfaction through data-driven decisions. 2. A better customer experience AI is set to make customer interactions smoother, faster, and more personalized by recommending products based on preferences and behaviors, making it easier for customers to find what they need. When consumers visit an online store, AI also provides instantaneous help via a chatbot that knows their order history and preferences. These AI-powered assistants offer real-time help like a knowledgeable store clerk. They give the appearance of higher-touch support and can answer basic questions at any hour, provide personalized product recommendations, and even troubleshoot issues. Chatbots free up human customer service agents for more complicated matters, and these agents can then use AI to obtain relevant information and suggestions for the customer during an interaction. 3. Personalized marketing Data-driven personalization of the customer journey has been shown to generate up to eight times the ROI, as data shows 71% of consumers now expect personalized brand interactions. Until AI came around, personalization at scale was complex to achieve. Now, gathering and processing data about a customer’s shopping experience is easier than ever based on lookalike customers and past behavior. Many businesses have adopted AI to glean deeper insights into purchase history, web browsing, and social media interactions to drive better segmentation and targeting. With AI, advertisers can analyze behavioral and demographic data to suggest products someone is likely to love. Consumers can now browse many of their favorite online stores and see product recommendations that perfectly match their tastes and needs. AI can also offer special discounts based on purchasing habits, and send personalized emails with products and content that interest customers to make their shopping experience more engaging and relevant. This personalization helps businesses forge stronger customer relationships. 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Fraud detection and security There will likely be an increased focus on the ethical use of AI and data privacy regulations to strengthen consumer trust and transparency. AI-powered systems will get better at detecting and preventing fraud in e-commerce transactions, which will heighten security measures for both businesses and consumers. Chart the future of commerce with Experian AI has changed how marketers approach e-commerce in 2024. With AI-driven analytics and predictive capabilities, marketers can extract deeper insights from extensive data sets to gain a clearer understanding of consumer behavior. This enables refined segmentation, precise targeting, and real-time customization of messages and content to fit individual preferences. Beyond insights, AI automates routine tasks like ad placement, content creation, and customer service responses, freeing marketers to concentrate on strategic planning and creativity. Through machine learning, marketers can predict trends, optimize budgets, and fine-tune strategies faster and more accurately than ever. The time to embrace AI is now. At Experian, we’re here to help you make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Using AI in your commerce marketing strategy with our Consumer View and Consumer Sync solutions can help you stay competitive with effective, engaging campaigns. Contact us to learn how we can empower your commerce advertising strategy today. Contact us Latest posts
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 Rachel Herbstman, VP of Data Innovation, and Anastasia Dukes-Asuen, Senior Director of Advanced TV Data & Insights at Ampersand. Could you introduce us to Ampersand and discuss your approach to TV advertising? Ampersand, a joint venture between Comcast, Charter, and Cox, is a media sales organization that offers a unified footprint, unlocking unparalleled scale and unique data/insights for local and national advertisers. Ampersand gives advertisers true audience first planning, scale in execution, and advanced measurement of their TV investments, representing 117 million multiscreen households and over 75% of addressable households in the U.S. (64 million households). We help clients reach their unique target audience and deliver their stories – anytime, anywhere, and on whatever device. How does adding streaming to a linear campaign, or vice versa, enhance overall campaign performance for marketers? Herbstman: Marketers have recognized that multiscreen media strategies are the strongest as viewership continues to fragment. Unique audiences exist in traditional TV and streaming, and failure to include either media channel will reduce the total reach opportunity. These channels have proven to validate unduplicated audiences. In our local business, adding streaming to a historically traditional linear-only media strategy increased campaign reach by 33%. Conversely, adding linear TV to a historically streaming-only media strategy increased reach by 209%. These metrics are validated by matching media exposures to an authenticated households subscriber ID and represent mass opportunities to reach new audiences with a multiscreen media strategy. When considering reallocating media investments, how does Ampersand help clients determine the most effective channels for specific campaigns? Herbstman: For a brand that historically invested in traditional TV, either national or local broadcast, we can provide insights to analyze the performance of any media campaign. The insights can include high-level metrics like reach and frequency and more granular metrics like unique reach per network. By seeing both the high-level results and more detailed granularity, we can provide optimization recommendations for funding other activation opportunities. Our database of past campaigns consistently demonstrates that gaining new eyeballs with a national TV campaign usually plateaus after a few weeks. In other words, if most of your intended audience is reached after about three or four weeks of national television, reaching any new viewers can be exponentially more expensive. We’ve built an Addressable Simulator tool for national advertisers that shows the potential impact of shifting a portion of the national media weight, specifically from the latter part of a flight, into addressable TV. Using our licensed Experian data set, we can measure any standard age/gender target or any advanced target to understand the complementary impact that addressable audience has on national media. This tool has dynamic inputs of CPMs and incidence rates, flight lengths, and budgets to simulate different scenarios and give marketers some intelligence on what holistic reach against that Experian segment they could expect with one given budget using brand-safe, traditional, and streaming inventory with an addressable activation. Additionally, we've developed an interactive eCPM calculator that helps national advertisers assess the cost efficiency of adding addressable TV to their traditional campaigns. By dynamically inputting CPMs, marketers can evaluate tradeoffs between media types for upcoming campaigns. Are there audience demographics that benefit from these combined media strategies, and what indicators or data points guide your recommendations to add cable to a local broadcast campaign versus other reallocations? Herbstman: By including cable or streaming in a local effort, a client can use a data-driven approach to find more intended viewers in other premium content. Utilizing the vast library of Experian audience segments paired with our robust sample of 64 million data-enabled homes enables Ampersand to provide insights into the most valuable networks and dayparts that the intended viewer will likely watch on either platform. With identity and viewing insights at scale, we can understand how consumers watch TV, even for inventory we have yet to sell. Our goal is to help marketers understand what’s happening as a result of their investments at a holistic level. We can analyze a campaign running across hundreds of designated market areas to quickly and simply understand the holistic delivery of their broadcast and cable weight by pulling back set-top-box exposures on broadcast and Ampersand-purchased cable on our measurable footprint. Then, we can determine the share of measurable reach that each portion’s media weight contributes to. We recommend optimizing towards a more balanced approach, where the reach levels for broadcast and cable mirror each other, creating a more effective market media mix. Once we confirm cable's potential in a market, we analyze network and daypart metrics to adjust key areas to optimize the campaign. We invite marketers to use these insights to measure their local or national TV campaign performance and garner unique perspectives to re-balance investments to drive reach and optimal frequencies. Are there common missteps to avoid? Dukes-Asuen: Ampersand's decades of experience with media and data insights have allowed us to create an extensive database complete with targeting and measurement benchmarks. We use this database to curate best practices for brands and help set them up for success, keeping their goals and objectives for reach and frequency in mind. Some clients spread their investment levels too thin, whether through short flight windows, low weekly frequencies, or targeting overly niche audiences that don't fully support KPI goals. One way to avoid these missteps is to set up a test-and-learn plan to validate a hypothesis and refine media strategies, ensuring campaigns are structured to garner meaningful insights. Ampersand can help ensure the test itself is constructed and supported to yield statistically relevant results, and the learnings can then be applied to the next campaign. How does Experian’s data enhance your campaigns at Ampersand? Dukes-Asuen: Within our Experian license, we can map the Experian Consumer View databases against our multichannel video programming distributors subscriber base in a privacy-compliant way to plan and activate them seamlessly. Experian has a rich set of audience targets and segmentation that we utilize to identify households that can be used for audience-based media execution with Ampersand. By defining the right audience—whether consumers are likely to purchase a product, exhibit certain behaviors, or demonstrate specific values—we enhance campaign performance and improve media spending efficiency for our advertisers. Additionally, how do you believe AI and other new technologies will impact your media buying approaches in the future, and how might these innovations improve campaign effectiveness and provide value to your clients? Herbstman: We have a strong use case on the measurement and analytics end. Using AI, we can aggregate a massive amount of historical data—viewership and exposure data. AI helps us understand overarching market trends and media performance to analyze campaign results and inform future campaign optimizations. The value of AI is in its role as an additional technology layer, enriching our insights portfolio and providing faster intelligence that enhances campaign effectiveness and delivers greater value to our clients. Can you share an example of how precise audience targeting and segmentation, powered by Experian, have led to significantly better media spend reallocations and campaign performance for marketers? One great example is how a national cruise brand dramatically improved its media spend and campaign performance by utilizing precise audience targeting and segmentation through Experian. By combining Ampersand’s addressable TV with Experian’s data-driven insights, they achieved a 14% incremental reach, a 3.1x higher frequency, and a 24% lower effective CPM. This strategic approach allowed them to reallocate their media spending more effectively, ensuring every impression reached their custom target audience. Thanks for the interview. For those interested in learning more about Ampersand, reach out for a personalized consultation. Contact us Latest posts