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Experian Audiences help financial marketers serve consumers with very different financial habits, digital behaviors, and spending patterns. Backed by our deep insight into income, debt, and credit, digital behavior, and household dynamics, our approximately 400 financial audiences and 3,500+ syndicated segments give financial marketers the ability to engage consumers with relevance across every life stage, channel, and financial mindset. To help financial marketers build effective, more adaptable programs, in this article, we’ll explore two approaches: Generational: How financial behaviors differ across life stages Seasonal: How consumer financial motivation spikes at key times of year Together, these approaches help financial marketers reach the right consumers with the right message at the right moment. Generational approach Financial marketers face a new kind of challenge: some consumers still visit branches, while others manage nearly every financial task from their phones. That gap reflects more than a channel preference; it signals distinct financial needs, confidence levels, and expectations for how money should work across generations. How do financial behaviors differ across generations? Generational digital behaviors The data below highlights key differences in how younger consumers engage with digital financial tools compared with Boomers. Behavior/metricGen Z and MillennialsBoomersUse peer-to-peer transfer apps (Venmo, PayPal)~50%~20%Use a mobile wallet daily79% (Gen Z), 67% (Millennial)Nearly 70% have never used one Younger generations are driving a mobile-first approach to money management, while Boomers are far less likely to manage their finances this way. They prioritize tools that help them build credit, reduce debt, manage rising costs, and automate everyday tasks. This behavior is reshaping how financial institutions think about acquisition, product relevance, and loyalty. Generational workforce and retirement dynamics As Boomers retire, their focus shifts to protecting accumulated wealth, steady income, and simplified service experiences. These changes are reshaping household finances and long-term planning behaviors across the country. The table below outlines how shifting workforce composition and retirement milestones differ across generations. Behavior/metricGen Z and MillennialsBoomersShare of the U.S. workforceGrowing toward 74% of the global workforce by 2030 (younger generations collectively)~15% of the U.S. workforce and shrinkingRetirement outlookExpected age to retire 67-69~75 million people will have retired by 2030 Marketers need to do more than track trends; they need to act on them with confidence. That’s where Experian Audiences come in. Turn generational insights into action with Experian Audiences Experian Audiences turn complex generational data into actionable marketing segments, helping financial brands reach the right people with the right message across every life stage. We offer approximately 400 financial audiences, each reflecting distinct financial priorities, from debt management to wealth preservation. These audiences are built using privacy-safe data and grounded in our deep understanding of income, debt, and digital behavior. Experian’s financial audiences blend credit, behavioral, and demographic signals to help you connect with consumers based on: Debt profile, including type and overall burden Income tier and earning stage Financial confidence and digital engagement habits How can marketers activate generational insights with Experian Audiences? Each generation has unique financial journeys, needs, and motivations that marketers can address with Experian Audiences designed to reach: Generation Z (Gen Z) Millennials Generation X (Gen X) Baby boomers (Boomers) In addition to these four generational segments, Experian Audiences also includes segments that apply broadly across life stages. These audiences reflect core financial attributes, such as income, capacity, and lifestyle, that are consistently relevant and can be layered onto any generational strategy. Ability to pay Generational income bands  Income Mosaic® USA While Fair Lending regulations prohibit age-based targeting, these groups are not built on age itself. Instead, they’re derived from observable financial behaviors and signals that often align with different life stages; allowing marketers to engage consumers in a compliant, behavior-driven way. We also offer FLA-friendly¹ audience segments when required, alongside expanded options for non-lending campaigns, supporting initiatives such as brand and product awareness, deposit growth, credit union membership, and other programs that don’t rely on credit-based targeting. You can find the full taxonomy paths in the appendix. This generation is young, digitally savvy, and highly engaged. Gen Z is beginning their financial journey with a focus on independence and debt management. Their preference for mobile-first tools and peer-to-peer payments reflects an expectation for simple, accessible financial experiences. Campaigns centered on credit-building tools, savings apps, and financial literacy resources are especially relevant for this group. Behavior/metricGen ZUse peer-to-peer transfer apps80%+Use mobile wallets daily79% Here are seven recommended audiences to target Gen Z:  Credit Card Financial Personality Discretionary Spend: Dining Out Discretionary Spend: Education Discretionary Spend: Entertainment In Market Buy Now Pay Later In Market for Auto Loan or Lease Renter How to use these audiences Financial marketers can activate audiences like Credit Card Financial Personality, In-Market Buy Now Pay Later, and Renter to introduce credit-building tools and mobile-first financial products. Millennials are entering their peak earning years while balancing family, homeownership, and digital convenience. Their preference for digital and contactless payments reflects a broader expectation for seamless, mobile-first financial experiences. Campaigns highlighting mortgage products, family insurance, and digital banking resonate across connected TV, mobile, and display. Behavior/metricMillennialPrefer digital or contactless payments~85% Here are ten audiences to target Millennials:  Deposits Financial Personality Discretionary Spend Education Discretionary Spend Home Furnishings In Market Buy Now Pay Later In Market Real Estate Investable Assets Likely to Move Mortgage Financial Personality New Parents Student Loan Age How to use these audiences Financial marketers can use audiences such as Mortgage Financial Personality, New Parents, and Discretionary Spend: Home Furnishings to reach Millennials navigating homeownership, family growth, and major financial decisions. Gen X leads in household income and prioritizes investments, education, and long-term financial stability. They respond well to data-driven offers for refinancing, college planning, and wealth management, especially across digital video, streaming, and email channels. Behavior/metricGen ZMillennialsGen XBoomersMedian income$71,200~$104,000~$126,000~$54,000 Here are ten audiences to target Gen X:  Discretionary Spend Discretionary Spend Donations Discretionary Spend Entertainment Discretionary Spend Travel Equity Loan Age Insurance Financial Personality Investment Financial Personality Investable Assets Mortgage Loan Age Net Asset Score (Net Worth) How to use these audiences Financial marketers can utilize audiences like Investment Financial Personality, Equity Loan Age, and Net Asset Score to promote refinancing, college planning, and wealth-building solutions. Boomers tend to have lower debt loads and more stable income, but place a high value on security and simplicity. Their channel preferences skew traditional, focusing on direct mail, television, and formats that reinforce trust and familiarity. Behavior/metricBoomerMedian net worth$410,000TV consumption98% watch TV; 77% watch more than 2 hours per dayNewspaper readership50%+ still read print or a mix of print and digital Here are eight audiences to target Boomers:  Charitable Causes Discretionary Spend Discretionary Spend Donations Discretionary Spend Travel Equity Loan Age Home Equity Financial Personality Mortgage Loan Paid Off or “Has Existing” Net Asset Score (Net Worth) How to use these audiences Financial marketers can target audiences such as Home Equity Financial Personality, Mortgage Loan Paid Off, and Net Asset Score to support messaging around wealth preservation, estate planning, and retirement security. Seasonal approach Alongside generation insights, financial advertisers should also capitalize on key seasonal events where financial motivation naturally spikes. Each season brings unique consumer behaviors, and Experian Audiences can be activated to align with these key seasonal moments. Tax season Refunds and debt payoff are top of mind as consumers prepare and file their returns. Experian Audiences you can activate: Household Tax Shelter User Tax Preparation Services and Software Tax Return: Professional Service Prepare User Tax Return: Self Prepare User How to use these audiences Use Tax Preparation Services and Software or Tax Return: Self Prepare User to reach consumers actively preparing returns, paying down debt, or planning how to use their refunds.  Home buying season Mortgage, refinancing, and home equity activity increases as consumers enter the peak home buying window. Experian Audiences you can activate: In Market First Mortgage In Market Home Equity In Market New Mortgage In Market Second Mortgage Refinancing Homeowners How to use these audiences Use In Market First Mortgage or Refinancing Homeowners to connect with consumers exploring first-time home purchases, refinance options, or equity-based borrowing. Back-to-school Household spending increases as families manage education costs, holiday purchases, and year-end budgeting. This period also drives heightened activity around payments, credit usage, and financial planning. Experian Audiences you can activate: Back to School High Spend Back to School Moderate Spend Back to School Spend: PreK through High School College Tuition Geo Index High Spenders Credit Card Age <2 Years Credit Seeking Card Switcher In Market Credit Card In Market Personal Loan Mobile Location > College Students Student Loan Age <5 Years Student Loan Existing How to use these audiences Activate Back to School High Spend, Back to School Moderate Spend, or Back to School Spend: PreK through High School audiences to reach households actively preparing for the school year. Year-end planning (October-December) As Boomers and Gen X plan for retirement or tax optimization, focus on wealth preservation and investment management.  Experian Audiences you can activate: Baby Boomer Household Income $150K–$249K Baby Boomer Household Income $250K–$499K Estimated Household Income Range $500K Gen X Household Income $1M Plus Geo-Indexed Household Income $1M Plus How to use these audiences Use Estimated Household Income Range $500K or Geo-Indexed Household Income $1M Plus to engage consumers focused on financial wrap-up activities. What sets Experian Audiences apart? Our syndicated audiences give you an advantage across channels, offering both scale and accuracy: Experian’s 3,500+ syndicated audiences can be sent to 200+ leading social platforms, such as Meta and Pinterest, TV, and programmatic advertising platforms, and activated directly within Audigent, a part of Experian,  with private marketplaces (PMPs). Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes. Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent, a part of Experian, for activation in PMPs, and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. You can activate our syndicated audiences on-the-shelf of most major platforms. For a full list, download our syndicated audiences guide. Explore Experian and FMCG Direct’s financial audiences in non-financial campaigns Where can you activate Experian Audiences? Experian Audiences can be activated on 200+ leading destinations or found directly on over 30 platforms, including: Basis  FreeWheel  Magnite  Nexxen  The Trade Desk  Viant  Microsoft Advertising and more Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice. Want to activate an Experian Audience on Meta, Pinterest, Snap, TikTok or on a platform not listed above? Contact us today. Explore our other audiences that you can activate today Activate Experian Audiences today with Audigent Audigent will build customized deals that combine premium Experian Audiences or Partner Audiences and inventory into a single, streamlined deal ID – tailored to your campaign needs. Plus, our powerful supply-side optimization ensures your campaigns deliver top marks in performance. Connect with the Audigent team today at AudigentAgency_Brands@experian.com to get started. Make every consumer part of your financial strategy From first paychecks to retirement portfolios, every generation has its own financial story, and seasonal moments create predictable spikes in financial behavior. With Experian Audiences, you can plan across life stages and timing to meet consumers when intent is highest, building relationships grounded in trust, relevance, and meas Reach out to us today FAQs What are Experian Audiences? Experian Audiences are pre-built, privacy-compliant consumer segments that help marketers target based on verified demographic, financial, and behavioral data.They’re designed for flexibility across channels and can be activated on 200+ platforms, including major social, CTV, and programmatic partners.Experian ranks #1 in demographic accuracy according to Truthset, and marketers can choose from 3,500+ syndicated audiences that capture signals such as income, spending behavior, household structure, financial attitudes, and ability to pay. These same audiences are also available through partnerships on platforms like DirecTV, Dish, Magnite, OpenAP, and The Trade Desk.For a deeper look at our audience catalog, explore our syndicated audience guide.  How can financial marketers use Experian Audiences effectively? Financial marketers can use Experian Audiences by aligning audience selection with generational priorities, such as digital banking for Gen Z or retirement planning for Boomers, to improve engagement and ROI. Are Experian Audiences compliant with financial marketing regulations? Experian Audiences are designed to meet a variety of needs while respecting different levels of privacy standards. For example, we offer FLA-compliant segments where required, as well as broader audiences for objectives such as brand awareness, promotion, credit union membership growth, and more.Experian’s approach to data is guided by our Global Data Principles, which reflect how we protect and manage information:Data security: safeguarding data against unauthorized access, use, or lossAccuracy: ensuring data is as accurate, complete, and relevant as possibleFairness: collecting and using data responsibly and for legitimate purposesTransparency: being open about the data we collect, how it’s used, and where it’s sharedInclusion: using data to expand financial access and support consumer financial health Where can you activate Experian Audiences? You can activate Experian Audiences are available across 200+ digital and connected TV platforms, including Meta, Pinterest, The Trade Desk, and Audigent PMPs. Can I combine Experian data with my own? Yes, you can combine Experian data with your own. You can combine your own first-party data with Experian’s 3,500+ syndicated audiences and additional segments from multiple Partner data providers, as a custom audience within a Curated Deal or self-service via Audience Engine. Footnote “Fair Lending Friendly” indicates data fields that Experian has made available without use of certain demographic attributes that may increase the likelihood of discriminatory practices prohibited by the Fair Housing Act (“FHA”) and Equal Credit Opportunity Act (“ECOA”). These excluded attributes include, but may not be limited to, race, color, religion, national origin, sex, marital status, age, disability, handicap, family status, ancestry, sexual orientation, unfavorable military discharge, and gender. Experian’s provision of Fair Lending Friendly indicators does not constitute legal advice or otherwise assures your compliance with the FHA, ECOA, or any other applicable laws. Clients should seek legal advice with respect to your use of data in connection with lending decisions or application and compliance with applicable laws. Appendix Generation Z Financial Personalities > Credit Card Financial Personality > Uninterested, Average Credit Card Balance Financial Personalities > Credit Card Financial Personality > Reluctant User, High Credit Card Balance Financial Personalities > Credit Card Financial Personality > Loyal Rewards Enthusiast, Low Credit Card Balance Financial Personalities > Credit Card Financial Personality > Credit Seeking Card Switcher, High Credit Card Balance Financial Personalities > Credit Card Financial Personality > Complacent Card User, Low Credit Card Balance Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $4302-$99999 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $2084-$4301 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $0-$2083 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $512-$1227 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $1228-$99999 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $0-$511 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $4607-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $2230-$4606 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $0-$2229 Financial FLA Friendly > In Market > Buy Now Pay Later Financial > In Market > Buy Now Pay Later Financial FLA Friendly > In Market Auto Loan Financial FLA Friendly > In Market Auto Lease Demographics > Homeowners/Renters > Renter Millennials Financial Personalities > Deposits Financial Personality > Uninterested, Average Deposit Balance Financial Personalities > Deposits Financial Personality > Self-Directed Diversifier, Very High Deposit Balance Financial Personalities > Deposits Financial Personality > Hesitant Borrower, Low Deposit Balance Financial Personalities > Deposits Financial Personality > Demanding Advice Seeker, Low Deposit Balance Financial Personalities > Deposits Financial Personality > Conservative Branch Banker, Very High Deposit Balance Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $512-$1227 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $1228-$99999 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $0-$511 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $2602-$99999 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $1272-$2601 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $0-$1271 Financial FLA Friendly > In Market > Buy Now Pay Later Financial > In Market > Buy Now Pay Later Publisher Derived > In-Market: Real Estate > In-Market Real Estate Consumer Financial Insights > Investable Assets > Investable Annual Assets Score Less Than $10000 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $10000-$49999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $50000-$99999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $100000-$249999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $250000-$499999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $500000-$999999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $1000000 Plus Lifestyle and Interests (Affinity) > Movers > Likely to Move Financial Personalities > Mortgage Financial Personality > Uninterested, Slightly Below Average Mortgage Balance Financial Personalities > Mortgage Financial Personality > Secure, Active Refinancer, Above Average Mortgage Balance Financial Personalities > Mortgage Financial Personality > Disciplined, Passive Borrower, Below Average Mortgage Balance Financial Personalities > Mortgage Financial Personality > Conservative, Bank Loyalist, Slightly Below Average Mortgage Balance Financial Personalities > Mortgage Financial Personality > Advice Seeking Refinancer, Slightly Above Average Mortgage Balance Life Events > New Parents > Child Age 0-36 Months Financial FLA Friendly > Student Loan Age > 9 Years Financial FLA Friendly > Student Loan Age > 8 Years Financial FLA Friendly > Student Loan Age > 7 Years Financial FLA Friendly > Student Loan Age > 6 Years Financial FLA Friendly > Student Loan Age > 12 Years Financial FLA Friendly > Student Loan Age > 11 Years Financial FLA Friendly > Student Loan Age > 10 Years Financial FLA Friendly > Student Loan Age > <5 Years Generation X Financial - Analytics IQ > Discretionary Spend > Travel Annual Spend $682-$1364 Financial - Analytics IQ > Discretionary Spend > Travel Annual Spend $1365-$99999 Financial - Analytics IQ > Discretionary Spend > Travel Annual Spend $0-$681 Financial - Analytics IQ > Discretionary Spend > Reading Annual Spend $193-$99999 Financial - Analytics IQ > Discretionary Spend > Reading Annual Spend $102-$192 Financial - Analytics IQ > Discretionary Spend > Reading Annual Spend $0-$101 Financial - Analytics IQ > Discretionary Spend > Personal Annual Spend $993-$99999 Financial - Analytics IQ > Discretionary Spend > Personal Annual Spend $525-$992 Financial - Analytics IQ > Discretionary Spend > Personal Annual Spend $0-$524 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $2602-$99999 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $1272-$2601 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $0-$1271 Financial - Analytics IQ > Discretionary Spend > Entertainment Other Annual Spend $911-$1973 Financial - Analytics IQ > Discretionary Spend > Entertainment Other Annual Spend $1974-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Other Annual Spend $0-$910 Financial - Analytics IQ > Discretionary Spend > Entertainment AV Annual Spend $952-$1763 Financial - Analytics IQ > Discretionary Spend > Entertainment AV Annual Spend $1764-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment AV Annual Spend $0-$951 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $4607-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $2230-$4606 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $0-$2229 Financial - Analytics IQ > Discretionary Spend > Entertainment Admissions Annual Spend $833-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Admissions Annual Spend $326-$832 Financial - Analytics IQ > Discretionary Spend > Entertainment Admissions Annual Spend $0-$325 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $512-$1227 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $1228-$99999 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $0-$511 Financial - Analytics IQ > Discretionary Spend > Donation Annual Spend $2568-$99999 Financial - Analytics IQ > Discretionary Spend > Donation Annual Spend $1265-$2567 Financial - Analytics IQ > Discretionary Spend > Donation Annual Spend $0-$1264 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $31619-$99999 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $0-$7900 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $7901-$10930 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $21952-$31618 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $15180-$21951 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $10931-$15179 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $4302-$99999 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $2084-$4301 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $0-$2083 Financial - Analytics IQ > Discretionary Spend > Apparel Annual Spend $2818-$99999 Financial - Analytics IQ > Discretionary Spend > Apparel Annual Spend $1459-$2817 Financial - Analytics IQ > Discretionary Spend > Apparel Annual Spend $0-$1458 Financial - Analytics IQ > Discretionary Spend > Alcohol and Wine Annual Spend $727-$99999 Financial - Analytics IQ > Discretionary Spend > Alcohol and Wine Annual Spend $331-$726 Financial - Analytics IQ > Discretionary Spend > Alcohol and Wine Annual Spend $0-$330 Financial FLA Friendly > Equity Loan Age > 9 Years Financial FLA Friendly > Equity Loan Age > 7-8 Years Financial FLA Friendly > Equity Loan Age > 12+ Years Financial FLA Friendly > Equity Loan Age > 11 Years Financial FLA Friendly > Equity Loan Age > 10 Years Financial FLA Friendly > Equity Loan Age > <6 Years Financial Personalities > Insurance Financial Personality > Uninterested, Below Average Insurance Policy Face Value Financial Personalities > Insurance Financial Personality > Secure Agent-Oriented Loyalist, High Insurance Policy Face Value Financial Personalities > Insurance Financial Personality > Reluctant Insurance Skeptic, Below Average Insurance Policy Face Value Financial Personalities > Insurance Financial Personality > Insurance Averse, Below Average Insurance Policy Face Value Financial Personalities > Insurance Financial Personality > Engaged Advice Seeker, Average Insurance Policy Face Value Financial Personalities > Insurance Financial Personality > Confident, Self-Directed Planner, High Insurance Policy Face Value Financial Personalities > Investments Financial Personality > Skeptical, Fund-Oriented Investor, Low to Medium Investable Assets Financial Personalities > Investments Financial Personality > Savvy Sounding-Board Seeking Investor, Average Investable Assets Financial Personalities > Investments Financial Personality > Price Sensitive, Self-Directed Investor, Very High Investable Assets Financial Personalities > Investments Financial Personality > Cautious Investing Novice, Low Investable Assets Financial Personalities > Investments Financial Personality > Broker-Reliant Delegator, Very High Investable Assets Consumer Financial Insights > Investable Assets > Investable Annual Assets Score Less Than $10000 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $10000-$49999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $50000-$99999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $100000-$249999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $250000-$499999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $500000-$999999 Consumer Financial Insights > Investable Assets > Investable Annual Assets Score $1000000 Plus Financial FLA Friendly > Mortgage Loan Age > 9 Years Financial FLA Friendly > Mortgage Loan Age > 8 Years Financial FLA Friendly > Mortgage Loan Age > 7 Years Financial FLA Friendly > Mortgage Loan Age > 6 Years Financial FLA Friendly > Mortgage Loan Age > 5 Years Financial FLA Friendly > Mortgage Loan Age > 13 Years Financial FLA Friendly > Mortgage Loan Age > 11-12 Years Financial FLA Friendly > Mortgage Loan Age > 10 Years Financial FLA Friendly > Mortgage Loan Age > <4 Years Consumer Financial Insights > Net Assets Score (Net Worth) > Net Asset Score Net Worth $1000000 Plus Consumer Financial Insights > Net Assets Score (Net Worth) > Net Asset Score $2500000 Plus Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score Less Than $25000 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $750000-$999999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $75000-$99999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $500000-$749999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $50000-$74999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Asset Score $5000000 Plus Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $250000-$499999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $25000-$49999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $2500000-$4999999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $100000-$249999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $1000000-$2499999 Baby boomers Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Private Foundations Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Political Charities Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Health Charities Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Education Charities Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Charities Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Arts/Culture Charities Lifestyle and Interests (Affinity) > Charitable Causes > Contributes by Volunteering Financial - Analytics IQ > Discretionary Spend > Travel Annual Spend $682-$1364 Financial - Analytics IQ > Discretionary Spend > Travel Annual Spend $1365-$99999 Financial - Analytics IQ > Discretionary Spend > Travel Annual Spend $0-$681 Financial - Analytics IQ > Discretionary Spend > Reading Annual Spend $193-$99999 Financial - Analytics IQ > Discretionary Spend > Reading Annual Spend $102-$192 Financial - Analytics IQ > Discretionary Spend > Reading Annual Spend $0-$101 Financial - Analytics IQ > Discretionary Spend > Personal Annual Spend $993-$99999 Financial - Analytics IQ > Discretionary Spend > Personal Annual Spend $525-$992 Financial - Analytics IQ > Discretionary Spend > Personal Annual Spend $0-$524 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $2602-$99999 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $1272-$2601 Financial - Analytics IQ > Discretionary Spend > Furnishings Annual Spend $0-$1271 Financial - Analytics IQ > Discretionary Spend > Entertainment Other Annual Spend $911-$1973 Financial - Analytics IQ > Discretionary Spend > Entertainment Other Annual Spend $1974-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Other Annual Spend $0-$910 Financial - Analytics IQ > Discretionary Spend > Entertainment AV Annual Spend $952-$1763 Financial - Analytics IQ > Discretionary Spend > Entertainment AV Annual Spend $1764-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment AV Annual Spend $0-$951 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $4607-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $2230-$4606 Financial - Analytics IQ > Discretionary Spend > Entertainment Annual Spend $0-$2229 Financial - Analytics IQ > Discretionary Spend > Entertainment Admissions Annual Spend $833-$99999 Financial - Analytics IQ > Discretionary Spend > Entertainment Admissions Annual Spend $326-$832 Financial - Analytics IQ > Discretionary Spend > Entertainment Admissions Annual Spend $0-$325 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $512-$1227 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $1228-$99999 Financial - Analytics IQ > Discretionary Spend > Education Annual Spend $0-$511 Financial - Analytics IQ > Discretionary Spend > Donation Annual Spend $2568-$99999 Financial - Analytics IQ > Discretionary Spend > Donation Annual Spend $1265-$2567 Financial - Analytics IQ > Discretionary Spend > Donation Annual Spend $0-$1264 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $31619-$99999 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $0-$7900 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $7901-$10930 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $21952-$31618 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $15180-$21951 Financial - Analytics IQ > Discretionary Spend > Discretionary Annual Spend Estimate $10931-$15179 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $4302-$99999 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $2084-$4301 Financial - Analytics IQ > Discretionary Spend > Dine Out Annual Spend $0-$2083 Financial - Analytics IQ > Discretionary Spend > Apparel Annual Spend $2818-$99999 Financial - Analytics IQ > Discretionary Spend > Apparel Annual Spend $1459-$2817 Financial - Analytics IQ > Discretionary Spend > Apparel Annual Spend $0-$1458 Financial - Analytics IQ > Discretionary Spend > Alcohol and Wine Annual Spend $727-$99999 Financial - Analytics IQ > Discretionary Spend > Alcohol and Wine Annual Spend $331-$726 Financial - Analytics IQ > Discretionary Spend > Alcohol and Wine Annual Spend $0-$330 Financial FLA Friendly > Equity Loan Age > 9 Years Financial FLA Friendly > Equity Loan Age > 7-8 Years Financial FLA Friendly > Equity Loan Age > 12+ Years Financial FLA Friendly > Equity Loan Age > 11 Years Financial FLA Friendly > Equity Loan Age > 10 Years Financial FLA Friendly > Equity Loan Age > <6 Years Financial Personalities > Home Equity Financial Personality > Uninterested, Low Home Equity Balance Financial Personalities > Home Equity Financial Personality > Secure, Savvy Credit User, High Home Equity Balance Financial Personalities > Home Equity Financial Personality > Home Equity Enthusiast, Very High Home Equity Balance Financial Personalities > Home Equity Financial Personality > Home Equity Averse Skeptic, Very Low Home Equity Balance Financial Personalities > Home Equity Financial Personality > Hesitant Borrower, Low Home Equity Balance Financial FLA Friendly > Mortgage Loan Paid Off Financial FLA Friendly > Mortgage Loan Has Existing Consumer Financial Insights > Net Assets Score (Net Worth) > Net Asset Score Net Worth $1000000 Plus Consumer Financial Insights > Net Assets Score (Net Worth) > Net Asset Score $2500000 Plus Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score Less Than $25000 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $750000-$999999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $75000-$99999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $500000-$749999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $50000-$74999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Asset Score $5000000 Plus Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $250000-$499999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $25000-$49999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $2500000-$4999999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $100000-$249999 Consumer Financial Insights > Net Assets Score (Net Worth) > Net Assets Score $1000000-$2499999 Tax season Lifestyle and Interests (Affinity) > Financial Behavior > Household Tax Shelter User Publisher Derived > In-Market: Financial Services > Tax Preparation Services and Software Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return --Professional Service Prepare user Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return - Self prepare user Home buying season Financial FLA Friendly > In Market First Mortgage Financial FLA Friendly > In Market Home Equity Financial FLA Friendly > In Market New Mortgage Financial FLA Friendly > In Market Second Mortgage Financial FLA Friendly > Refinancing Homeowners Back to school Retail Shoppers: Purchase Based > Seasonal > Back to School Apparel - High School Retail Shoppers: Purchase Based > Seasonal > Back to School Moderate Spend Retail Shoppers: Purchase Based > Seasonal > Back to School High Spend - PreK (Early Ed - PreK) Geo-Indexed > Discretionary Spend > College Tuition GeoIndex High Spenders Financial Personalities > Credit Card Financial Personality > Credit Seeking Card Switcher, High Credit Card Balance Financial FLA Friendly > In Market Credit Card Financial FLA Friendly > In Market Personal Loan Consolidated Mobile Location Models > Visits > College Students Financial FLA Friendly > Student Loan Age > <5 Years Financial FLA Friendly > Student Loan Has Existing Year-end planning Demographics > Household Income (HHI) > Baby Boomer Household Income $150K-$249K Demographics > Household Income (HHI) > Baby Boomer Household Income $250K-$499K Demographics > Household Income (HHI) > Estimated Household Income Range $500K Plus Demographics > Household Income (HHI) > Gen X Household Income $1M Plus Geo-Indexed > Demographics > Geo-Indexed Household Income $1M Plus Latest posts

As marketers gear up for the 2025 holiday season, economic turbulence, tariffs, and shifting digital habits are changing how and where consumers shop. Black Friday and Cyber Monday are still set to be the crown jewels of retail, but winning this year means leaning into data, omnichannel activation, and tools that help you do more with less as you start your Black Friday planning.  Let’s explore this year’s Black Friday trends in relation to last year’s and how to make the most of every opportunity in the 2025 holiday season. Download our 2025 holiday shopping report Spending trends we saw in 2024 After years of economic uncertainty, Black Friday 2024 marked a return to retail “normalcy” with record-setting online and in-store shopping that reflected growing optimism and smarter behaviors: Online Black Friday sales increased by 10.2% from 2023, largely due to better-timed deals and earlier shopping. Mobile shopping made up 69% of global purchases. In-store traffic rebounded, surpassing online during Cyber Week for the first time in years. Buy now, pay later (BNPL) added $686 million to online sales — an 8.8% YoY increase — as consumers spread out their holiday spending. Retailers using AI tools (like chatbots and shopping assistants) saw up to 15% more conversions. Ultimately, last year’s Black Friday e-commerce trends showed that shoppers prioritized flexible payments, value, and easy, personalized buying experiences. Key products and categories in 2024 After years of favoring lower-cost essentials, consumers returned to higher-ticket purchases during Cyber Week. The share of expensive goods sold online rose over 15% compared to pre-season figures, with AI-powered product recommendations leading consumers to top-selling products like: AirPods Pro Ninja Creami Our Place Always Pan Vitamix blenders Oura Ring The highest-performing gift categories included electronics, apparel, furniture and bedding, groceries, and cosmetics. 2024 Black Friday trends we expect to continue in 2025 As we reflect on a record-breaking 2024 holiday season, we predict many of the key Cyber Monday trends and Black Friday strategies for retailers in 2024 will carry over and intensify in 2025: Mobile will remain the primary shopping channel. The shift to early shopping will persist. AI-driven efficiencies will play an increasing role. Retailers that focus on the customer experience will capture the most wallet share. As a marketer, you can use these insights to plan your Black Friday e-commerce strategy and meet audiences where and when they scroll and shop. Projected growth YoY While 2025 holiday retail shopping may not match the explosive growth of 2023 to 2024, consumers are still expected to show up in force for Black Friday in 2025. The National Retail Federation projects that overall U.S. holiday sales will rise between 2.7% and 3.7% compared to last year. Experian’s 2025 Q1 consumer data paints a more nuanced picture: Mass retail transactions remain above 2024 levels, but YoY growth is slowing, from +8% in January to +4% in May. Department stores, which grew 10% YoY in January, have since declined to -3% by May. Apparel saw a similar trajectory, slipping from +7% growth in Q1 to slightly negative growth leading up to the summer months. This slowdown suggests early signs of consumer fatigue, especially in discretionary categories, as inflation and tariffs continue to erode the spending power of price-sensitive consumers and small brands that rely heavily on imports. Emerging trends and behaviors to expect in 2025 With inflation still weighing on household budgets and new tariffs potentially reducing consumer spending power by up to $78 billion, brands and shoppers are entering the holiday season with uncertainty. Roughly 91% of consumers may adjust their buying habits in response to tariff-driven price increases and inflation. Consumers are still motivated by value, but they’ll expect more for their money and may start deal-hunting even earlier this season. You’ll need to be agile with your messaging, inventory, and budget allocation, as shoppers will still spend when the experience is seamless, personalized, and smart. Let’s explore the key trends shaping the 2025 holiday season and how you can build them into your omnichannel marketing plan before the rush hits. Omnichannel campaigns In 2025, holiday shoppers will be more intentional than impulsive, which means they may zigzag between channels — browsing products on TikTok, watching TV ads, researching on Google, and checking out in-store or online before purchasing. They’ll want consistent, personalized experiences no matter where they engage.  This means you can’t rely on a single sales touchpoint anymore and must deliver a seamless experience wherever your audience spends time. Forrester shows 21% of global B2C leaders are already prioritizing omnichannel, which makes it a competitive necessity. Fortunately, these efforts pay off. Omnichannel shoppers spend 1.5x more per month than those who shop on a single channel. How Experian helps Experian simplifies omnichannel marketing. Our identity graph connects hashed emails, mobile ad IDs (MAIDs), connected TV (CTV) IDs, and more so you can define your audience once and reach them consistently across every major channel.  With unified data, identity, and activation, we help you cut through platform silos and deliver coordinated, cross-device campaigns that actually feel connected. Mobile first In 2024, over 70% of orders and $195 billion in sales happened on mobile devices, according to Salesforce. As more consumers browse holiday deals from the couch, car, or checkout line, mobile-first shopping is among the top Cyber Monday retail trends and the main channel for on-the-go purchases. For marketers, this means your mobile experience can make or break your Black Friday results. Responsive design, fast load times, and smooth checkout flows are the new expectations. Brands that invest in sleek mobile sites, intuitive apps, and frictionless buy online, pick up in-store (BOPIS) options will better meet and convert customers where they are at key moments. How Experian helps With Experian, you can reach mobile-first shoppers precisely at scale. Our identity graph connects MAIDs to individuals, so you can activate campaigns across mobile apps, SMS, and social with confidence. Define your audience once and deliver consistently personalized offers wherever they scroll, search, or shop. CTV On Black Friday 2025, shoppers won’t just be scrolling — they’ll be streaming, too. CTV continues to surge as a key channel for holiday shoppers, with viewership far outpacing ad spend. In 2024, CTV drove 31% of digital audience activation revenue. With nearly half of U.S. viewers expected to tune into free ad-supported TV (FAST) in 2025, CTV is becoming a core part of the Black Friday media mix. Still, many marketers underestimate the channel, assuming it’s strictly an upper-funnel awareness channel rather than a direct driver of conversions. In reality, CTV can influence high-intent holiday shoppers closer to purchase than many assume. With more consumers engaging with FAST during the holidays, CTV offers scalable, measurable reach and can fuel conversions across the entire funnel. And when paired with identity resolution and cross-device targeting, it becomes a powerful full-funnel tool. How Experian helps Experian gives marketers the household-level insights and activation capabilities to reach the right shoppers at the right frequency across platforms — a must for a high-volume weekend like Black Friday. Our identity graph connects devices within a household to manage frequency, unify messaging, and eliminate waste.  Plus, with support for Universal IDs like Unified I.D. 2.0 (UID2), you can activate audiences across CTV environments — including FAST — using login-based, privacy-compliant signals for a campaign that connects, converts, and performs on the biggest shopping weekend of the year. Signal loss Although Google has reversed its plan to phase out third-party cookies, 40% of browser traffic no longer supports them. You now need various identifiers across devices and platforms to get a complete customer view, especially during Black Friday when reach and precision are key. That’s why marketers are shifting to alternative IDs like UID2, ID5, and Hadron ID to maintain reach. In 2024, we saw a 50% increase in Experian clients using alternative IDs and a 30% jump in the number resolved to individuals in our Digital Graph. These IDs are unlocking up to 60% incremental reach in campaigns compared to cookies. Preparing a multi-ID approach and incorporating privacy-first strategies, such as contextual targeting, can give you a competitive edge this holiday season. How Experian helps Experian’s identity solutions connect all your digital and offline identifiers into a single, privacy-forward customer profile. This lets you recognize and reach your audiences no matter what device or platform they’re using. Plus, with Contextually-Indexed Audiences, you can activate high-performing segments instantly in major demand-side platforms (DSPs) without cookies to maintain and improve addressability during the holidays. RMNs Retail media networks (RMNs) are set to capture 20% of digital ad spend in 2025. In particular, off-site retail media is expected to surge 42.1% this year, driving more Black Friday campaigns into channels like CTV, programmatic, and social. This shift reflects a growing demand for full-funnel strategies, broader reach, and cross-channel measurement. RMNs that extend their first-party data beyond owned platforms will be best positioned to deliver results during peak shopping periods like Cyber Week. However, off-site success hinges on clean, connected data. Many RMNs still face fragmented views of their customers, making it harder to scale audiences and measure performance. How Experian helps Experian helps RMNs scale off-site by resolving fragmented identities, enriching first-party data, and enabling seamless activation across channels. Our identity graph connects key digital identifiers to unify customer profiles, while our audience insights add depth with demographic, behavioral, and purchase data. Curation Curation is quickly becoming a go-to Black Friday marketing strategy, helping advertisers connect with high-value audiences by blending inventory with audience and contextual data. In fact, by 2026, private marketplace ad spending is projected to grow by $31 billion. Instead of choosing between wide-open auctions or direct publisher deals, curation offers a powerful middle ground through curated private marketplaces (PMPs) built on first-party publisher data, contextual signals, and alternative IDs. How Experian helps Now unified with Audigent, Experian is setting a new standard for curated media buying. Our Curated Deals combine Experian’s powerful identity and data capabilities with Audigent’s flexible activation and audience customization. You can activate high-performing audiences across DSPs or directly through Audigent’s PMPs to maximize precision, privacy, and scale ahead of the biggest shopping week of the year. AI-powered shopping experiences AI is becoming a co-pilot for holiday shoppers and reshaping the customer journey. From researching gift ideas and comparing prices to relying on personalized product recommendations and AI chatbots for faster service, consumers are using AI to shop smarter. Salesforce reports that AI influenced 19% of holiday purchases in 2024 — a 6% increase from the previous year. In an Experian survey, shoppers shared they’re also using AI to help with BOPIS logistics and even choosing which BNPL option to use at checkout. Influencer content powered by AI and social algorithms is also guiding purchases in real time. This holiday season, brands that weave AI into their digital storefronts, payment options, and social strategies will drive conversion. How Experian helps Experian uses AI and machine learning to help marketers deliver faster, smarter Black Friday campaigns. Our Digital Graph improves targeting with advanced household connections, while machine learning models fill in data gaps and identify high-intent shoppers. We also offer AI-powered audience recommendations and real-time contextual signals, enabling you to quickly build and activate the right segments at scale. How to prepare for Black Friday 2025 Now that we’ve covered Black Friday trends for this year, it’s time to talk about how you can build them into a data-powered marketing strategy. Here’s where we suggest you focus your Black Friday planning for Cyber Week 2025. Understand and segment your audience Winning Black Friday 2025 starts with knowing your audience and how they shop so you can reach them at optimal times with messaging that resonates. Whether you're targeting early-bird deal hunters or last-minute gifters, audience precision is the foundation for success this holiday season — and Experian can help. Purchase intent Drive performance by identifying consumers actively in the market for holiday purchases. With Experian’s holiday shopping audiences (available across major DSPs and platforms like Audigent, The Trade Desk, and DirectTV), you can reach: Last-Minute Shoppers One-Stop Holiday Shoppers Post-Holiday Shoppers Heavy Gift Givers These intent-rich segments can help you capture demand at every phase of the season. Spending behavior While some consumers may splurge this year, others are tightening their belts due to economic turbulence. Experian’s pre-built holiday audiences help you target accordingly, with segments like: Holiday High Spenders and Moderate Spenders Big Box/Club Stores Discount Holiday Shoppers, Black Friday, and Cyber Monday Shoppers These segments can help you optimize campaign spend based on wallet size. Channel preferences Knowing where your audience shops is just as important as how much they spend or what they buy. Experian offers audiences like: eCommerce Diehards Brick-and-Mortar Diehards Impulse Buyers BOPIS Shoppers Tailor your media mix and creative strategy to align with their channel behavior, whether they’re browsing in-store, online, or on social. Demographic, lifestyle, and behavioral data Experian helps you tap into rich demographic and lifestyle data to better understand and engage high-value segments, whether that’s suburban deal hunters, Gen Z beauty buyers, or luxury holiday splurgers. And by layering in Experian Marketing Attributes — 5,000+ attributes that include financial behaviors, interests, shopping patterns, car ownership, media consumption, and more — you can gain a clearer picture of age, gender, purchase behaviors, and content habits for refined holiday targeting. With our data marketplace, audiences are more accessible and actionable than ever. We offer: Diverse, high-fidelity partner audiences Easily activate audiences from 31+ premium data providers, including: Attain: Real-time, permissioned transaction data from 8 million U.S. consumers Alliant: Predictive audiences built from billions of consumer transactions across key verticals Circana: Loyalty-based CPG and general merchandise audiences Dun & Bradstreet: Privacy-compliant B2B audiences based on firmographic and professional attributes Flexible activation across top platforms Our identity graph powers our data marketplace, enabling audiences to be easily activated and highly addressable across display, mobile, and CTV with 10+ activation platforms, including Madhive, Open AP, Optimum, and Yieldmo. Privacy-first audience planning All data in our marketplace meets strict privacy and compliance standards, helping brands scale campaigns confidently. Custom and pre-built audience options Mix and match from 2,400+ Experian Audiences and Partner Audiences to find the right shoppers and meet your campaign goals. Our data marketplace delivers the people you want to reach, where you need to reach them, with the insights to optimize in real time. Personalize promotions One-size-fits-all promotions won’t cut it in 2025. Consumers expect relevance at every touchpoint and ignore what feels generic or off-base. With the abundance of Black Friday offers, shoppers are filtering fast and prioritizing brands that understand their needs, preferences, and timing. Here’s how you can deliver on these demands: Deliver targeted product recommendations: Whether through chatbots or personalized emails, consumers want help quickly finding what they need. Brands that invest in smart recommendation engines position themselves to drive cart additions and increase average order value (AOV). Customize promo codes by segment: Everyone loves discounts, but not all shoppers should get the same one. Use customer segments like high-spenders, last-minute shoppers, or deal-hunters from Experian’s syndicated holiday audiences to offer custom promo codes, boost conversions, and avoid over-discounting with those who would buy regardless. Optimize the timing of offers: Timing is everything during Cyber Week when inboxes and feeds are flooded. Use our behavioral and lifestyle data to determine when your segments are most active and likely to buy, and schedule your best offers for maximum impact. Use Experian Activity Feed: Black Friday 2025 will span devices, stores, and channels. Activity Feed connects the dots between online ad exposures and offline sales, helping you measure the impact of your campaigns and identify what drives conversions. Case study: How Cuebiq increased match rates with Activity Feed Using Activity Feed, Cuebiq, resolved digital ad exposures to MAIDs so they could know the impact of their campaigns on in-store visits and purchases. Within three weeks, they resolved 85% of ad events to households across web, mobile, and CTV, giving their clients a clearer view of what drove store traffic and sales. “In just a few weeks, they were able to maximize the match rate across the fragmented digital inventory, solving a huge problem when it comes to cross-channel attribution.”Luca Bocchiardi, Director of Product, Cuebiq Experian can help you win big this holiday season Marketers are entering this season with more pressure, more complexity, and more opportunity than ever before. Whether you're grappling with signal loss, evolving your omnichannel mix, or launching your first curated PMP, Experian has the data, identity infrastructure, and activation tools to help you win. Download our 2025 Holiday spending trends and insights report, in collaboration with GroundTruth, to access our predictions for this year's holiday season. Download now Want help building your Black Friday marketing strategy? Let’s talk. Latest posts

Time to polish off our crystal ball and give predictions from consumers’ fingertips of hot products of the holiday season. See what made the list.

Personalization without context misses the moment Marketers have spent years perfecting personalization — but personalization alone often misses the mark. We’ve all seen it. You shop for a weekend getaway, then get served travel ads weeks later when you’re already home. The data was right. The timing wasn’t. Personalization based only on identity and behavior knows who you are but not when or why you’re ready to act. At Experian, we believe AI should make marketing feel more human. That means understanding people in context, recognizing their environment, mindset, and the moment, to create relevance that feels timely, not intrusive. The context gap: Why identity and behavior aren’t enough Identity and behavioral data can reveal the kind of consumer someone is and the kind of products they may want to buy. But they don’t explain what’s happening right now. The missing layer is context: the dynamic, real-time signal that shows why this moment matters. Context bridges the gap between knowing something about a consumer and understanding their intent. In an era of fragmented signals and stricter privacy rules, context is one of the most reliable ways to stay relevant without over-reliance on personal identifiers. It helps marketers adapt to shifting needs while keeping privacy intact. How Experian interprets context in real-time By context, we mean all the subtle, in-the-moment signals, like time of day, location, or what someone’s watching, that shape what people care about in real-time. At Experian, our technology interprets these in real-time: Temporal signals Time-based patterns such as daypart (morning vs. evening), recency (how fresh a signal is), seasonality (holidays, life events), and micro-moments (split-second intent-driven actions). Environmental signals The media or content environment; what type of program, article, or channel someone is engaging with when they see your ad. Situational intent Signals like browsing behavior or purchase patterns that hint at a person’s stage in the buying journey, from early research to final decision. By layering these signals over verified identity and behavioral data, Experian’s AI-powered technology helps marketers predict not just who will act, but when they’re ready to act. Experian’s approach: Turning context into relevance Consumer behavior changes by the minute, and marketers need to adapt just as quickly. Our technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring your campaigns deliver meaningful relevance, not just broader reach. Our process combines: Input Clean, accurate identity and audience data anchored in our privacy-first framework. Enrichment Our models fuse household, device, and publisher context to reveal moment-based intent. Activation We're investing in agentic workflows that help marketers plan and execute performance campaigns at scale, activated via our real-time technology that dynamically adjusts deals and surfaces contextually aligned opportunities. Governance Every signal and recommendation follows Experian’s principles of transparency, consent, and ethical oversight. We call this AI-powered simplicity tools that help marketers work more efficiently, with intelligence that feels intuitive and human-centered. How context changes the game for marketers AI without real-time context can only react based on what it already knows. AI-powered by in-the-moment contextual data points enables marketers to anticipate, not just react. A travel brand can shift creative from “dreaming” to “booking” mode when AI detects signals of active planning. A retailer can align promotions with trending content or regional weather shifts in real time. A CPG brand can trigger different product messages based on the context of recipes or household occasions. Adjustments based on contextual signals compound into meaningful gains — higher engagement, better efficiency, and a consumer experience that feels natural rather than intrusive. Context makes AI more human Context introduces empathy into automation. It’s what keeps AI from overstepping, ensuring the message fits the moment. When marketers respect timing, environment, and intent, ads feel like service, not surveillance. Context transforms relevance into respect. At Experian, our vision is to make every signal serve people, not profiles. Because the more our technology (including our AI tools and capabilities) understands context, the more human marketing becomes. At Experian, responsible intelligence is built in Every contextual model we deploy adheres to our standards for transparent and responsible innovation. We validate inputs, monitor model drift, and ensure no context-based variable introduces bias or privacy risk. This is what responsible automation looks like in practice: intelligent, explainable, and ethical. From who to when: Context is the future of AI-driven marketing Identity tells us who someone is. Context tells us when it matters. The next wave of AI-driven marketing will unite privacy-first identity with contextual intelligence to deliver real-time relevance, responsibly. At Experian, we’re building that future now. Our AI-driven capabilities bring identity, insight, and generative intelligence together so brands, agencies, and platforms can reach the right people, at the right moment, with relevance and respect. Get started now About the author Matthew Griffiths SVP of Technology, Audigent, a part of Experian Matthew Griffiths is a seasoned technology entrepreneur and a driving force in advertising technology, data technology, and AI. As the Co-Founder and former CTO (now SVP of Technology) at Audigent, a part of Experian, he plays a pivotal role in shaping the company’s cutting-edge solutions for data activation, curation, and identity management. With years of executive experience across the U.S., Africa, and the U.K., Matthew has a proven track record of leadership in steering the adoption and use of cutting-edge technologies to drive business outcomes. His expertise spans from collaborating with top global corporations and governments to spearheading award-winning technology projects that deliver life-changing impacts in some of the world's most underserved communities. Matthew’s dynamic approach to solving complex business and technology challenges makes him a visionary leader in the AdTech space, consistently driving innovation and performance through technology. FAQs How does context make AI-driven marketing more effective? Context makes AI-driven marketing more effective because it helps marketers understand people in context, recognizing their environment, mindset, and the moment, to create relevance that feels timely, not intrusive. Context helps marketers understand not just who a person is, but when and why they’re ready to act. Experian’s AI-powered technology layers contextual signals over verified identity data to deliver relevance that feels intuitive, not invasive. This approach connects recognition with understanding, making every campaign more effective and more human. What is the context gap in AI-driven marketing? Identity and behavioral data can reveal the kind of consumer someone is and the kind of products they may want to buy. But they don’t explain what’s happening right now. That’s the context gap—the missing link between knowing something about a consumer and understanding their intent.  Context closes this gap by analyzing environmental, temporal, and situational signals that reveal intent—without using invasive identifiers. Does Experian interpret contextual signals in real-time? Yes, at Experian, our technology interprets contextual signals, including temporal, environmental, and situational, in real-time. By layering these signals over Experian’s verified identity and behavioral data graph, marketers can predict when consumers are most receptive, turning data into real-time opportunity. What does responsible intelligence look like in practice? At Experian, every contextual model we deploy adheres to our standards for transparent and responsible innovation. We validate inputs, monitor model drift, and ensure no context-based variable introduces bias or privacy risk. What does Experian’s foundation in responsible automation look like? - Privacy-first clarity: We unify household, individual, device, demographic, behavioral, publisher first-party signals, and contextual data points to build a reliable view of consumers, even when certain signals are missing. This clarity helps marketers personalize, target, activate, and measure with confidence.- Predictive insight: Our models go beyond describing the past. They forecast behaviors, fill gaps with inferred attributes, create lookalikes, and recommend next-best audiences so clients can anticipate opportunity.- AI-powered simplicity: We’re investing in generative AI and exploring emerging agentic workflows to reimagine how marketers work. Our vision is to move beyond basic audience recommendations toward intelligent audience discovery and automated setup, helping teams uncover opportunities they may not have considered, while spending less time on manual work and more time on strategy and outcomes.- Real-time intelligence: Consumer journeys never stand still. Our AI-powered technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring campaigns deliver meaningful relevance, not just broader reach.- Transparent and responsible innovation: We drive safe, modular experimentation, from generative applications to agentic workflows, always balancing bold ideas with ethical guardrails. We stay at the forefront of evolving legislation and regulation, ensuring our innovations protect consumers, brands, and the broader ecosystem while moving the industry forward responsibly. 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 Ben Smith, VP of Product, Data Products at Infillion. Adapting to signal loss What does the Experian–Infillion integration mean for advertisers looking to reach audiences as signals fade? As cookies and mobile identifiers disappear, brands need a new way to find and reach their audiences. The Experian integration strengthens Infillion’s XGraph, a cookieless, interoperable identity graph that supports all major ID frameworks, unifying people and households across devices with privacy compliance, by providing a stronger identity foundation with household- and person-level data. This allows us to connect the dots deterministically and compliantly across devices and channels, including connected TV (CTV). The result is better match rates on your first-party data, more scalable reach in cookieless environments, and more effective frequency management across every screen. Connecting audiences across channels How does Experian’s Digital Graph strengthen Infillion’s ability to deliver addressable media across channels like CTV and mobile? Experian strengthens the household spine of XGraph, which means we can accurately connect CTV impressions to the people and devices in that home – then extend those connections to mobile and web. This lets us plan, activate, and measure campaigns at the right level: household for CTV, and person or device for mobile and web. The outcome is smarter reach, less waste from over-frequency, and campaigns that truly work together across channels. The value of earned attention Infillion has long championed “guaranteed attention” in advertising. How does that philosophy translate into measurable outcomes for brands? Our engagement formats, such as TrueX, are based on a simple principle: attention should be earned, not forced. Viewers choose to engage with the ad and complete an action, which means every impression represents real, voluntary attention rather than passive exposure. Because of that, we consistently see stronger completion rates, deeper engagement, and clearer downstream results – like lower acquisition costs, improved on-site behavior, and measurable brand lift. To take that a step further, we measure attention through UpLift, our real-time brand lift tool. UpLift helps quantify how exposure to a campaign influences awareness, consideration, or purchase intent, providing a more complete picture of how earned attention translates into business impact. Creative innovation and location insights Beyond identity resolution, what are some of Infillion’s capabilities, like advanced creative formats or location-based insights, that set you apart in the market? One key area is location intelligence, which combines privacy-safe geospatial insights with location-based targeting through our proprietary geofencing technology. This allows us to build custom, data-driven campaigns that connect media exposure to real-world outcomes – like store visits and dwell time – measured through Arrival, our in-house footfall attribution product. We also build custom audiences using a mix of zero-party survey data, first-party location-based segments, and bespoke audience builds aligned to each advertiser’s specific strategy. Then there’s creative innovation, which is a major differentiator for us. Our high-impact formats go beyond static display, such as interactive video units that let viewers explore products through hotspots or carousels, rich-media ads that feature polls, quizzes, dynamic distance, or gamified elements, and immersive experiences that encourage active participation rather than passive viewing. These creative formats not only capture attention but also generate deeper engagement and stronger performance for a variety of KPIs. Future ready media strategies How does Infillion’s ID-agnostic approach help brands future-proof their media strategies amid ongoing privacy and tech changes? We don’t put all our eggs in one basket. XGraph securely unifies multiple durable identifiers alongside our proprietary TrueX supply to strengthen CTV household reach. This agnostic design allows us to adapt as platforms, regulations, and browsers evolve – so you can preserve reach and measurement capabilities without getting locked into a single ID or losing coverage when the next signal deprecates. Raising the bar for media accountability Looking ahead, how is Infillion evolving its platform to meet the next wave of challenges in audience engagement and media accountability? From an engagement standpoint, we’re expanding our ability to support the full customer journey, offering ad experiences that move seamlessly from awareness to consideration to conversion. That includes smarter creative that adapts to context, intelligent targeting and retargeting informed by real data, and formats designed to drive measurable outcomes rather than just impressions. When it comes to accountability, we’re ensuring that measurement is both flexible and credible. In addition to our proprietary tools, we partner with leading third-party measurement providers to validate results and give advertisers confidence that their investment is truly performing. Within our DSP, we emphasize full transparency and log-level data access, ensuring advertisers can see exactly what’s happening on every impression. All of this builds toward the next era of agentic media buying – one enabled by our MCP suite and modular, component-based tools. This evolution brings greater accountability and next-generation audience engagement to an increasingly automated, intelligent media landscape. Our goal is to help brands connect more meaningfully with audiences while holding every impression – and every outcome – to a higher standard of transparency and effectiveness. Driving impact across the funnel What is a success story or use cases that demonstrate the impact of the Experian–Infillion integration? We recently partnered with a national veterans’ organization to raise awareness of its programs for injured or ill veterans and their families. Using the Experian integration, we combined persistent household- and person-level identifiers with cross-device activation to reach veteran and donor audiences more precisely across CTV, display, and rich media. The campaign achieved standout results – industry-leading engagement rates, a 99% video completion rate, and measurable lifts in both brand awareness (3.6 % increase) and donation consideration (13.7% lift). It’s a clear example of how stronger identity and smarter activation can drive meaningful outcomes across the full funnel. Contact us Identity resolution FAQs Why is identity resolution critical for CTV and cross-channel campaigns?  Identity resolution ensures accurate connections between devices, households, and individuals. Experian's Offline Identity Resolution and Digital Graph strengthen these connections for improved targeting and consistent measurement across CTV, mobile, and web.  What strategies help address the loss of cookies and mobile IDs?  Solutions like Experian's Digital Graph enable brands to connect first-party data to household and person-level identifiers, ensuring scalable reach and compliant audience targeting legacy signals fade.   How can engagement translate into measurable results?  Focusing on earned attention (where audiences actively choose to engage) leads to stronger completion rates, improves on-site behavior, and drives measurable increases in brand awareness and consideration.  What makes cross-channel targeting more effective?  By linking CTV impressions to households and extending those connections to mobile and web, Experian's identity solutions ensure campaigns work together seamlessly, reducing over-frequency and improving overall reach. About our expert Ben Smith VP Product, Data Products, Infillion Ben Smith leads Infillion’s Data Products organization, delivering identity, audience, and measurement solutions across the platform. Previously, he was CEO and co-founder of Fysical, a location intelligence startup acquired by Infillion in 2019. About Infillion Infillion is the first fully composable advertising platform, built to solve the challenges of complexity, fragmentation, and opacity in the digital media ecosystem. With MediaMath at its core, Infillion’s modular approach enables advertisers to seamlessly integrate or independently deploy key components—including demand, data, creative, and supply. This flexibility allows brands, agencies, commerce and retail media networks, and resellers to create tailored, high-performance solutions without the constraints of traditional, all-or-nothing legacy systems. Latest posts

What makes data “good” in the age of AI? In AI-driven marketing, data quality now defines success. “Good data” in AI isn’t about volume; it’s about the balance of accuracy, freshness, consent, and interoperability. As algorithms guide decisions, they must learn from data that’s both accurate and ethical. At Experian, we believe good data must meet four conditions: 1. Accurate Verified and anchored in real human identity. 2. Fresh Continuously updated to reflect today’s consumers. 3. Consented Collected and governed transparently. 4. Interoperable Easily integrated across platforms through a secure, signal-agnostic identity spine, enabling seamless data activation. This is the data AI can trust and the data that keeps marketing relevant, predictive, and privacy-first. Listen to InfoSum's Identity Architect's podcast for more on AI, outcomes, and curation Why does data accuracy matter more than ever? AI models are only as intelligent as their inputs. Incomplete or inconsistent data leads to bad predictions and wasted spend. As the industry moves toward agentic advertising, where autonomous systems handle campaign buying and optimization, data accuracy becomes even more critical. If your ad server or audience data is flawed, these new AI agents will simply automate bad decisions faster. Experian applies rigorous quality filters and conflict resolution rules to ensure our data is both deterministic and accurate. Deterministic signals alone don’t guarantee accuracy; they must be verified, deduplicated, and contextualized. Our identity resolution process anchors every attribute to real people, giving brands and platforms the confidence that every insight stems from truth, not noise. Our data is ranked #1 in accuracy by Truthset, giving our clients confidence that every decision they make is backed by the industry’s most reliable insights. See how Experian's Digital Graph improved attribution accuracy for a demand-side platform (DSP) with 84% of IDs resolved Just because it is deterministic, doesn’t mean it’s highly accurate. You still need to refine and validate your data to make sure it tells a consistent story. You need to anchor your data around real people. Calculate the real impact of data accuracy Why does AI need fresh data? Outdated data can’t predict tomorrow’s behavior. AI thrives on recency. At Experian, our audiences are refreshed continuously to mirror real-world signals, from purchase intent to media habits, so every campaign reflects what’s happening now, not six months ago. And we don’t just advocate for fresh data, we rely on it ourselves. Our own AI-powered models, used across our audience and identity platforms, are continuously retrained on the most current, consented signals. This allows us to see firsthand how freshness drives better accuracy, faster optimization cycles, and more relevant outcomes. But freshness alone isn’t enough. With predictive insights, our models go beyond describing the past. They forecast behaviors, fill gaps with inferred attributes, and recommend next-best audiences, helping you anticipate opportunity before it happens. Fresh and predictive data means you’re reaching people in the moment that matters and shaping what comes next. With AI, that’s what defines performance. Explore Experian's most popular audiences, ready to activate now How do consent and governance build trust in AI? Responsible AI starts with responsible data. With 20 U.S. states now enforcing privacy laws, data compliance isn’t optional, it’s operational. At Experian, privacy and compliance are built in. Every data signal, attribute, audience, and partner goes through our rigorous review process to meet federal, state, and local consumer privacy laws. With decades of experience in highly regulated industries, we’ve built processes that emphasize risk mitigation, transparency, and accountability. Governance isn’t just about regulation, it’s also about innovation done right. We drive transparent and responsible innovation through safe, modular experimentation, from generative applications to agentic workflows. By balancing bold ideas with ethical guardrails and staying ahead of evolving legislation, we ensure our innovations protect consumers, brands, and the broader ecosystem while moving the industry forward responsibly. Compliance and governance aren’t just boxes to check; they’re the foundation that gives AI its license to operate. How does interoperability enable AI’s full potential? AI delivers its best insights when data connects seamlessly across fragmented environments. Our signal-agnostic identity spine allows data to move securely between platforms (connected TV, retail media networks, and demand-side platforms) without losing context or compliance. Interoperability isn’t just about moving data between systems; it’s about connecting insights across them. When signals connect across environments, AI gains a more complete view of the customer journey revealing true behavior patterns, intent signals, and cross-channel impact that would otherwise remain hidden. This unified perspective allows AI to connect insights in real time, improving predictions, performance, and personalization while protecting privacy. Where do AI and human oversight meet? AI can make marketing more predictive, but people make it meaningful. At Experian, our technology brings identity, insight, and generative intelligence together so brands, agencies, and platforms can reach the right people with relevance, respect, and simplicity. Our AI-powered models surface connections, recommend audiences, and uncover insights that would take humans months to find. But our experts shape the process, crafting the right inputs, ensuring data quality, reviewing model outputs, and refining recommendations based on industry knowledge and client goals. It’s this partnership between advanced AI and experienced people that turns predictions into actionable, trustworthy solutions. What “good data” looks like in action “Good data” becomes most powerful when it’s put to work. At Experian, our marketing data and identity solutions help brands and their partners connect accurate, consented, and interoperable data across the ecosystem, turning insight into measurable outcomes. Learn more about Experian's data solutions Learn more about Experian's identity solutions When Windstar Cruises and their agency partner MMGY set out to connect digital media spend to real-world bookings, they turned to Experian’s marketing data and identity solutions to close the attribution loop. By deploying pixels across digital placements and using Experian’s identity graph to connect ad exposure data with reservation records, we created a closed-loop attribution system that revealed the full traveler journey, from impression to confirmed booking. The results were clear: 6,500+ bookings directly tied to digital campaigns, representing more than $20 million in revenue, with a 13:1 ROAS and $236 average cost per booking. Attributed audiences booked $500 higher on average, and MMGY’s Terminal audience segments powered by Experian data achieved a 28:1 ROAS. This collaboration shows that responsible, high-quality data and AI-driven insights don’t just tell a better story; they deliver measurable business performance. Download the full case study How to choose the partner built for responsible AI Why the future of AI depends on “good” data The next phase of AI-driven marketing won’t be defined by who has the most data, but by who has the best. Leaders will: Operate with clear data principles grounded in transparency and truth Build consent and compliance into every workflow Keep data accurate, current, and interoperable Pair automation with human oversight   AI success starts with good data. And good data starts with Experian, where accuracy, privacy, and purpose come together to make marketing more human, not less. Partner with Experian for AI you can trust About the author Budi Tanzi VP, Product, Experian Budi Tanzi is the Vice President of Product at Experian Marketing Services, overseeing all identity products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek, and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible. "Good" data in AI FAQs What defines “good data” according to Experian? At Experian, we define "good data" as the balance of accuracy, consent, freshness, and interoperability. We apply rigorous governance, validation, and cleansing across every signal to ensure that AI systems learn from real-time behaviors, not assumptions. This approach turns data into a foundation for reliable, ethical, and high-performing intelligence. How does Experian ensure AI-ready data accuracy? Experian ensures AI-ready data accuracy through advanced cleansing, conflict resolution, and human anchoring. Experian ensures AI models rely on verified, high-quality inputs. Experian's data is ranked #1 in accuracy by Truthset. Can Experian help brands stay compliant with privacy laws? Yes, Experian can help brands stay compliant with privacy laws. Experian’s privacy-first governance framework integrates ongoing audits, legal oversight, and consent management to ensure compliance with all federal, state, and global privacy laws. Compliance isn’t an afterthought; it’s embedded in every step of our data lifecycle. How does Experian make AI more human? Experian makes AI more human by pairing innovation with human oversight to ensure AI helps marketers understand people, not just profiles. At Experian, we believe the future of marketing is intelligent, respectful, and human-centered. AI has long been part of how we help brands connect identity, behavior, and context to deliver personalization that balances privacy with performance. Our AI-powered solutions combine predictive insight, real-time intelligence, and responsible automation to make every interaction more relevant and ethical. Where can marketers access Experian’s high-quality data? Marketers can activate Experian's high-quality data directly in Experian’s Audience Engine, or on-the-shelf of our platform partners where Experian Audiences are ready to activate. Built on trusted identity data and enhanced with partner insights, it’s where accuracy meets accessibility, helping brands power campaigns with confidence across every channel. 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 Allison Dewey (Director, Data & Curation) at 33Across. Navigating complexity in digital advertising Digital advertising is more fragmented and privacy-constrained than ever. How is 33Across helping marketers cut through that complexity to drive real outcomes, and what makes your approach distinct?  Reaching audiences without compromising scale or performance is one of the toughest challenges for marketers. Users consume content across multiple devices and channels, making it difficult for marketers to identify and accurately target them with the right message. 33Across segments leverage AI-powered contextual and behavioral signals across privacy-safe environments to help marketers accurately identify audiences, whether they’re streaming content on their connected TV or researching products on their mobile device. What sets us apart is that we don’t just identify valuable audiences; we help marketers also target cookieless inventory and power it with real-time signals. Marketplace integration milestones What excites you most about bringing 33Across audiences into Experian’s data marketplace? We’re excited to bring 33Across audiences into Experian’s data marketplace because it connects our unique segments with a powerful data ecosystem that marketers already trust. Buyers looking to activate audiences that are both privacy-safe and performant continue to tap into the Experian data marketplace for high-quality, high-performing data. We offer a wide range of audience verticals, including B2B, demographic, retail purchase data, interest and intent, and political data. In addition, we offer the ability to create custom segments across verticals.  Our intent-based audiences, built from contextual and engagement signals, help buyers reach consumers on CTV, desktop, or mobile devices with scale.  Being part of Experian’s data marketplace accelerates access to these audiences, drives better ROI, and helps brands future-proof their strategies today. Retail demand signals Retail brands are racing toward privacy-safe, first-party data. Which 33Across retail datasets or segments are experiencing the highest demand, and what makes them a must-have?  Retail marketers are leaning into contextual and behavioral intent signals to complement their first-party data strategies. At 33Across, we’re seeing high demand for segments tied to shopping intent, including in-market consumers browsing for categories like fashion, home goods, electronics, and health & wellness. What makes these segments essential is their real-time nature - they can capture consumer interest as it happens. For retail brands looking to expand their reach while respecting privacy, our segments offer scalable, actionable intent that drives results. B2B without cookies Reaching real B2B decision-makers at scale is tough with or without signals. How does 33Across deliver both precision and reach in this environment?  B2B marketing often struggles with balancing scale and specificity. 33Across addresses this by combining contextual precision with AI-modeled behavioral signals; this segment approach reaches professionals actively engaging with relevant content and topics, even in environments where IDs are unavailable. Marketers gain access to more signals and, in turn, better reach from 33Across’ unique publisher integrations and audience curation built from machine learning and AI. We surface intent through content consumption patterns and contextual engagement, unlocking valuable, privacy-safe signals at scale. Allowing B2B marketers to reach real decision-makers in a signal-sparse world.  Use cases With retail, B2B, and beyond, can you share an example of how brands in these verticals are utilizing your audiences? Top brands that have a user-focused approach use 33Across audiences to drive scale; performance. These brands enable our segments to precisely reach the right users across devices and increase conversion rates; brand awareness. By reaching the right users, brands have higher conversion rates and increase campaign efficiency. Supply path innovation As identifiers disappear, advertisers are looking for scalable, privacy-safe ways to reach real people. How is 33Across helping unlock more addressable inventory and drive performance? By combining contextual, semantic, and engagement-based signals, we deliver intent-based targeting that performs across CTV, display and video. Higher addressability helps marketers not only extend their reach but also deliver personalized messaging across digital channels in a privacy-compliant way.  Contact us About our expert Allison Dewey Director of Data and Curation, 33Across Allison Dewey is the Director of Data & Curation at 33Across, where she oversees data partnerships, integrations, and supply-side curation. With a deep expertise in audience targeting and signal optimization, Allison plays a key role in connecting data into the programmatic world. Allison holds a Bachelor's degree in Psychology from Bates College. About 33Across Rooted in over 15 years of data expertise, 33Across harnesses signals to enrich and expand marketers’ audiences and reach them wherever they consume content. Built from over 300 billion proprietary data signals, we apply machine learning and AI to create over 1,500 B2C and B2B segments using privacy-first principles to reach audiences.   Cookieless targeting FAQs How can advertisers reach audiences without traditional identifiers?  By using contextual and engagement-based signals, advertisers can target consumers across CTV, mobile, and desktop in a privacy compliant way, even as identifiers become less available.  What audience segments are most in demand for retail marketers?  Segments tied to shopping intent, such as consumers browsing fashion, electronics, or health products, are highly sought after because they capture real time interest and drive results.  How can B2B marketers find decision-makers without cookies?  Combining content engagement patterns with machine learning allows marketers to reach professionals actively engaging with relevant topics, even in environments where IDs are unavailable.  What makes privacy safe audience targeting effective?  Privacy safe targeting uses real time contextual and behavioral signals to deliver relevant messaging across devices and channels without compromising consumer trust.  How can real-time intent signals drive demand?  Real time intent signals allow advertisers to capture consumer interest as it happens, helping demand side platforms and brands deliver timely, relevant ads that increase engagement and drive conversions across devices like CTV, mobile, and desktop.  Latest posts

Holiday shopping in 2025 feels a lot like a complicated relationship. Shoppers want deals, but they also want trust. They start shopping early, but they’re still browsing well into December. They love the convenience of online shopping, but they still show up in-store before making the final call.

We spend our days surrounded by screens: at work, at home, and everywhere in between. But audio is the one channel that moves with us, from morning routines to evening commutes, from workouts to household chores. More than two-thirds of U.S. consumers will listen to digital audio every month this year, making it one of the fastest-growing ways to connect with audiences. Experian and Audacy are working together to solve the challenges of fragmented listening, cross-platform targeting, and campaign measurement, helping brands reach people in the moments other channels can’t. Why audio sticks with us Audio fits into life’s in-between moments, from the commute to the workout to the chores, when other media can’t. Unlike video, it doesn’t demand full attention; it joins the flow of daily routines. This makes audio uniquely personal, creating connections that other formats can’t replicate. Audacy’s expertise in understanding listener behavior ensures that audio campaigns feel like a natural part of daily life. Experian's data helps advertisers identify the right audiences, while Audacy ensures the message is delivered at the right time. Together, we help brands create campaigns that resonate deeply with listeners. By meeting audiences in their moments of focus, audio becomes a powerful tool for building meaningful and lasting connections. "Audio is a companion in people’s daily rituals. Whether it’s doing dishes, folding laundry, or going for a run, you have audio going in your ears, and you’re really engaged with it. From an advertising perspective, that’s incredibly powerful because listeners are paying attention to the content.”Kevin Greenwald, SVP of Advertising and Audience Products Making sense of scattered listening habits Today’s listeners consume audio across a variety of devices and platforms. Devices like smart speakers and smart home hubs now account for over 27% of digital audio time spent daily among U.S. adults, highlighting the growing role of connected devices in audio consumption. When listeners bounce between apps, stations, and devices, it’s easy for advertisers to lose track of them. Audacy’s advanced platform capabilities, combined with Experian’s identity solutions, simplify this process by providing a unified view of audience behavior, ensuring campaigns remain cohesive.  Audio is highly adaptable, letting advertisers tweak a message on the fly by shifting tone, length, or format to stay relevant in the moment. This flexibility ensures that campaigns remain cohesive and impactful, no matter where or how listeners engage. “Audio has a degree of flexibility that other channels don’t. You’re not tied to a programming clock, and ad lengths can vary. It’s also easy to create a great audio ad quickly, which makes it a channel ripe for experimentation and innovation.”Kevin Greenwald, SVP of Advertising and Audience Products Following listeners wherever they go Today’s listeners don’t stay in one place: they bounce from live radio in the morning to streaming music during the day, then wind down with a favorite podcast at night. For advertisers, that creates a challenge: how do you keep up with an audience that’s always moving? Without a unified view of the listener journey, campaigns can lose impact. With the right insights, though, every handoff becomes an opportunity to stay relevant and connected. Audacy’s platform, combined with Experian’s identity solutions, bridges these gaps. Together, we help you follow your audience wherever they go, creating consistent experiences that drive results. This approach improves targeting and ensures that messages remain impactful. "I hope that there’s a day coming where we can understand ad exposure in the car as well as more cars are connected and things like that. That would be really powerful."Kevin Greenwald, SVP of Advertising and Audience Products Your audience is listening, let's make sure they hear you Audio helps you connect with your audience in moments other channels miss. With Experian’s marketing data and Audacy’s expertise, you can simplify cross-platform targeting, improve campaign measurement, and create messages that truly resonate. Let’s work together to make your message heard. Let's talk audio strategy. Contact us today About our experts Kevin Greenwald SVP of Advertising and Audience Products, Audacy Kevin Greenwald is the SVP of Advertising & Audience Products, where he partners closely with Audacy's sales team to deliver leading ad product and measurement capabilities for their clients. Crystal Jacques VP of Enterprise Partnerships, Experian Crystal Jacques is the VP of Enterprise Partnerships, leading Experian's go-to-market team across all verticals. With over ten years of experience in the Identity space, Crystal brings a wealth of expertise to her role. She joined Experian in 2020 through the Tapad acquisition, following her successful stint as the head of Global Channel Partnerships for Adbrain, which The Trade Desk later acquired. Latest posts