At A Glance
Financial marketers serve consumers with very different financial habits, digital behaviors, and spending patterns. Experian Audiences offer approximately 400 financial segments and thousands of additional syndicated options covering various industries to help reach individuals at the right moment across generations, channels, and seasonal events. These privacy-safe audiences support acquisition, engagement, and year-round planning.In this article…
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/metric | Gen Z and Millennials | Boomers |
| Use peer-to-peer transfer apps (Venmo, PayPal) | ~50% | ~20% |
| Use a mobile wallet daily | 79% (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/metric | Gen Z and Millennials | Boomers |
| Share of the U.S. workforce | Growing toward 74% of the global workforce by 2030 (younger generations collectively) | ~15% of the U.S. workforce and shrinking |
| Retirement outlook | Expected 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.
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/metric | Millennial |
| Prefer 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.
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/metric | Boomer |
| Median net worth | $410,000 |
| TV consumption | 98% watch TV; 77% watch more than 2 hours per day |
| Newspaper readership | 50%+ 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.
Where can you activate Experian Audiences?
Experian Audiences can be activated on 200+ leading destinations or found directly on over 30 platforms, including:
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.
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
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.
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.
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 loss
Accuracy: ensuring data is as accurate, complete, and relevant as possible
Fairness: collecting and using data responsibly and for legitimate purposes
Transparency: being open about the data we collect, how it’s used, and where it’s shared
Inclusion: using data to expand financial access and support consumer financial health
You can activate Experian Audiences are available across 200+ digital and connected TV platforms, including Meta, Pinterest, The Trade Desk, and Audigent PMPs.
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
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In this article…A history of ad-supported TVThe resurgence of ad-supported TV models Free ad-supported streaming vs paid ad-supported TV What FAST popularity means for marketersThe future of ad-supported TV In the early days, streaming services were presented to viewers as convenient alternatives to cable that allowed you to get content whenever you wanted it — without ads. But as standalone streaming platforms have grown in number and prominence, often charging high monthly costs for subscription-based content and continually hiking their rates, many are warming back up to the idea of ads if it means lower monthly fees. Cue free ad-supported TV (FAST) streaming services: free video content with no paid subscription requirement. These services generate revenue through advertising and deliver content with periodic commercial breaks to support their free model. This option has become popular as viewers have sought out cost-effective alternatives to traditional scheduled television. Free streaming TV platforms such as the Roku Channel, Tubi, and Pluto TV are growing, with one in three U.S. viewers subscribing to free ad-supported TV streaming services. If premium streaming platforms keep raising their monthly costs, we can predict that FAST will continue to grow. In this article, we’ll talk about the current state of the ad-supported TV climate, including the opportunities and challenges it poses for marketers. A history of ad-supported TV Historical context is crucial to understanding the current climate of ad-supported TV and its implications for your marketing. Before the rise of cable TV, television was free for viewers, with advertisers covering the costs. The first TV commercial, a 10-second spot for the Bulova Watch Company, aired in 1941 during a baseball game and cost the company $9. This ad kickstarted the era in which advertisements funded the TV model, which quickly surpassed radio in popularity and led to an explosion of content. From 1956 to 1988, commercials became embedded in culture, giving rise to marketing icons like Ronald McDonald and memorable campaigns like Nike's “Just Do It.” From 1989 to 2006, the world saw the rise of online entertainment and advertising with the invention of the World Wide Web — and subsequently, online video broadcasting and advertising emerged. But between 2007 and 2014, over-the-top (OTT) broadcasting and connected television (CTV) innovation disrupted traditional broadcasting, with ad-supported streaming gaining greater prominence. Platforms like Netflix and Hulu allowed viewers new freedom from the confines of scheduled programming. By 2022, CTV advertising thrived thanks to programmatic advertising, which allowed businesses to reach targeted audiences with relevant campaigns. Ad-supported streaming became widespread as platforms like Netflix and Disney+ incorporated advertising into their models. Free ad-supported TV (FAST) emerged as a form of advanced television that displaced traditional cable and satellite TV. Recent years have witnessed a notable shift back to ad-supported streaming television due to the proliferation of streaming services, subscription fatigue, and the desire for cost-effective content consumption. Looking ahead to the future, TV advertising is expected to continue growing with the potential to be influenced by innovations like virtual reality and artificial intelligence. Why did the popularity fade? Ad-supported TV waned in popularity due to the introduction of cable TV and subscription-based models. Cable TV offered ad-free content for a subscription fee, which reduced the appeal of traditional ad-supported broadcasts. Uninterrupted content became a critical selling point for cable providers, but it created fragmentation for advertisers and made it more challenging for them to reach their target audience. With cable and, later, satellite TV dominating the market, advertisers had to adapt their strategies. The decline in the popularity of ad-supported TV led to a decreased reliance on traditional advertising methods, and marketers began exploring alternative avenues to connect with consumers effectively. The recent resurgence of ad-supported TV, particularly in streaming services, indicates a shift in viewer preferences. You can utilize targeted advertising cost-effectively, as viewers prefer free, ad-supported content over subscription-based models. The resurgence of ad-supported TV models The resurgence of ad-supported TV models can be partly attributed to the COVID-19 pandemic and changing viewer preferences. In 2020, stay-at-home measures led to a surge in media consumption, and people turned to streaming for entertainment. This shift provided a unique opportunity for ad-supported models to regain popularity. But as viewers explored various streaming options, subscription fatigue set in. Paid streaming proliferation increased costs, and people began reconsidering spending on multiple subscriptions. The pandemic triggered a fundamental shift in TV consumption and caused viewers to favor ad-supported streaming models that offered free content with occasional commercial breaks. In fact, LG Ad Solutions research revealed that 80% of American TV viewers use free ad-supported streaming services — and 63% express a preference for this model. This finding challenges assumptions made during the initial stages of the pandemic, where subscription-based consumption seemed dominant. The study suggests that as subscription fees accumulated, viewers sought more content without increasing costs, driving a preference for ad-supported streaming. Furthermore, the landscape of ad-supported TV saw notable entries from major streaming platforms: HBO launched its ad-supported model in June 2021. Netflix and Disney+ introduced their ad-supported tiers in late 2022. Amazon announced in September 2023 that they would be launching their ad-supported service in 2024. These developments emphasize the industry's recognition of the demand for ad-supported content and further contribute to the prominence and endurance of this model. Most popular platforms A report from Samba TV showed that one in three U.S. viewers subscribes to free ad-supported TV streaming services, such as Pluto TV, Tubi, or the Roku Channel. The report highlights Amazon's Freevee as a standout due to its high viewership growth in the first half of 2023 compared to competitors. Here are some details to note about Freevee and its major competitors: Freevee (Amazon Prime) With a focus on bringing diverse content to its audience, including thousands of premium TV shows and movies, Freevee has positioned itself as a go-to destination for those looking for quality programming without subscription fees. In early 2022, Freevee had 65 million monthly active users, and their ad prices, similar to competitor costs, range between $13 and $24 per day — around $400 and $720 per month, respectively. Pluto TV (Paramount) As a pioneer in the FAST streaming space, Pluto TV, now under Paramount, boasts a diverse range of 250+ channels. According to Statista data from November 2022, 8% of Americans watched TV on Pluto on a daily basis, with men watching more often than women. You can strategically engage with Pluto TV's varied audience for around $999 a month, with advertising costs influenced by factors like viewership and channel prominence. Tubi (Fox) Surpassing many competitors in viewership, Tubi, owned by Fox, offers an extensive collection of free content (200,000 movies and TV episodes) and enjoys 74 million active monthly users. Tubi has experienced the fastest growth among young, diverse audiences and has produced or acquired 200 titles that almost 54 million viewers have watched. You can market to viewers on Tubi for $10 to $45 daily or $300 to $1,350 monthly. The Roku Channel With over 350 channels and premium original content, The Roku Channel has become an important player in the FAST space. Approximately 38% of streaming hours in U.S. households are spent on the Roku Channel. With Roku Ads Manager, you can get started with only $500. New players The FAST industry is seeing an influx of new players all the time, which is contributing to the industry's growth and innovation. As traditional subscription-based models adapt to include ad-supported tiers, the competition in the ad streaming sphere has intensified, prompting both established and emerging platforms to explore the FAST model. Statista reports that the number of users in the FAST market is expected to reach 1.1 billion by 2028! The recent entry of industry giants like Netflix into the ad-supported realm has set the stage for significant shifts. When Netflix announced and launched its ad-supported tier in late 2022, the industry experienced a notable spike in CPMs (cost per mille/cost per thousand impressions). This reflected the initial scarcity of users on this tier. As more subscribers embraced the ad-supported offering, CPMs decreased. Subscription video-on-demand (SVOD) platforms, including Disney+, are also incorporating ad-supported tiers into their models to cater to viewers' preferences for cost-effective streaming options. Industry reports illustrate a decrease in CPMs as more users engage with ad-supported tiers, which creates a vibrant, competitive environment for advertisers like you. Free ad-supported streaming vs paid ad-supported TV The affordability of free ad-supported streaming services is attractive for viewers seeking cost-effective alternatives to traditional cable or non-ad-supported streaming platforms. Platforms like Pluto TV and Tubi provide viewers with a wealth of content without the financial commitment of a subscription. Free ad-supported streaming services like these have gained traction for their cost-effectiveness. In contrast, paid ad-supported TV models present a unique proposition — pay for the service and enjoy reduced subscription costs by opting for an ad-supported plan. These models provide users with a middle ground between subscription-based and free ad-supported streaming. The future popularity of free ad-supported streaming versus paid ad-supported streaming is likely to be influenced by a combination of viewer preferences, content strategies, ad experiences, and broader industry dynamics. As both models evolve, streaming services will continue to experiment and adapt to meet the diverse needs of their audiences. What FAST popularity means for marketers The shift towards FAST aligns with changing viewer preferences. This makes things easier for your marketing, as you can: Engage a broader audience: Without the barriers of subscription fees, and the ability to place ads in front of diverse demographics, you can customize campaigns for specific audiences and ensure your messages resonate with viewer interests. Convey your message to a captive audience: The rise of FAST also implies an increased viewership of commercials, as these services typically feature ad-supported models with limited options for viewers to skip or fast-forward through ads, creating a more captive and engaged audience. Expand your brand exposure: The cost-effectiveness of ad-supported models provides a valuable avenue for brand exposure without the hefty price tags associated with traditional TV advertising. As a marketer, it’s essential for you to understand the dynamics of ad-supported TV platforms so you can recognize unique advertising formats, optimize campaign frequency to prevent ad fatigue, and embrace the potential for localization and personalization. As advertising evolves with the growing popularity of FAST, you have an opportunity to stay ahead of the curve, craft compelling campaigns, and maximize your reach at a time when ad-supported streaming is at the forefront of entertainment. The future of ad-supported TV The re-emergence of ad-supported TV, along with recent innovations, indicates that the future of this model is bright. Teevee Corporation, a hardware startup led by the co-founder of Pluto TV, is an excellent example. It is set to unveil a groundbreaking ad-supported physical television that won’t cost consumers a single cent — as long as they’re okay with a second integrated screen that displays ads while they watch the main screen. This TV is distinct from streaming services and uses automatic content recognition (ACR) for contextually relevant ad delivery. Teevee's approach introduces a new dimension to viewer engagement that combines traditional broadcasting with targeted advertising. Major streaming platforms are actively contributing to the evolution of ad-supported TV as well. Amazon made the strategic move to bring Amazon Original titles and additional ad-supported channels to Freevee to demonstrate its commitment to the ad-supported market. The platform introduced 23 new ad-supported TV channels from major entertainment players such as Warner Bros. Discovery and MGM. As a result, Amazon's Freevee experienced tremendous growth in viewership in the first half of 2023, up 11% year-over-year. These recent advances illustrate what the future of streaming with ad-supported TV may look like moving forward, where hardware innovation meets strategic content integration, and major platforms compete to enhance their ad-supported offerings. How Experian can help Although the FAST industry is rapidly evolving, Experian stands at the forefront with powerful data-driven solutions that empower you to take advantage of this valuable marketing opportunity. Consumer Sync is a robust identity solution that empowers advertisers by facilitating collaboration and offering insights that contribute to more effective and targeted FAST campaigns. Audience segmentation, attribution, and campaign optimization play vital roles in FAST advertising. Our Consumer View solution provides industry-leading data solutions for audience segmentation, which allows marketers to predict buying behaviors and deliver personalized experiences. Connect with Experian's TV experts As you explore the possibilities of ad-supported TV, Experian offers the expertise and solutions you need to elevate your marketing strategies. Connect with our TV experts today to gain a deeper consumer understanding, refine your targeting, and ensure the success of your campaigns. Connect with our TV experts today Latest posts

Experian continues to lead in data accuracy according to Truthset's latest analysis Advertisers, technology partners, and agencies are all chasing accurate data to power their marketing strategies. But not all data is created equal. Truthset’s latest findings confirm Experian's leadership in third-party data accuracy, giving brands and agencies confidence in every decision they make. Accurate data is the foundation for predictive insight, real-time intelligence, and AI-powered personalization. Experian’s AI-driven solutions help marketers move from data to action, delivering more relevant messages with less waste. Truthset's independent study found that up to 51% of ad targeting data is inaccurate, with accuracy rates ranging between 32% and 69% across providers. This reinforces the importance of validated, trusted data from partners like Experian. The data quality challenge Inaccurate data can lead to: Wasted ad spend Without accurate data at the start, marketers can’t reach the right audiences, resulting in wasted impressions. Privacy and compliance risks In an increasingly privacy-centric world, advertisers need to be especially mindful of accurate targeting to avoid putting their brand reputation at risk. Poor campaign performance Low-quality data skews metrics and attribution models, making it difficult to measure campaign success and optimize spend. Low-quality data can come in different forms, like inconsistent or outdated information – think demographics (age, gender) and interests (dog versus cat lover), or simply the wrong relationship can be made between data sets. Data records can be incomplete or duplicative, and data segments could be misclassified or inaccurate. For example, a kids' snack food company may think they’re targeting a 35-year-old man, who lives in the suburbs with his young family, when in fact it’s a 65-year-old woman who moved to the city after her kids went to college. That's wasted investment. As data ecosystems grow more complex, that's where Experian's AI-powered simplicity comes in. We can clean, enrich, and infer missing signals, helping you act on incomplete or imperfect data with greater confidence. Building a solid data foundation Accurate data is essential for personalization and trust. According to eMarketer, more than 75% of internet users worldwide are willing to share their email address, brand interest, and name in exchange for personalized experiences. Without accurate data, marketers won’t be able to provide the level of personalization that consumers desire. But personalization at scale requires more than just data, it needs intelligence. Experian's AI-powered capabilities, including predictive models, transform clean, validated data into meaningful engagement strategies that balance performance with privacy. Independent validation from Truthset ensures that Experian’s data remains among the most accurate in the ecosystem. "As cookies and mobile ad identifiers continue to phase out, consented, durable identifiers (hashed email, postal addresses) are going to serve as the foundation for identity solutions of the future. And the only way to ensure you are transacting on the highest quality identity and demography data is to actively validate the data you rely on with a third party.” Chip Russo, President Experian's commitment to data accuracy Since joining the Truthset Data Collective in 2023, Experian continues to be the industry leader in data accuracy. Truthset's latest Q2 2025 analysis reaffirms our leadership in data accuracy: Experian is the #1 data provider of largest volume of high-accuracy hashed emails (HEMs) Experian ranks #1 in accuracy for eight marketing data attributes, including but not limited to Age, Geography, Presence of Children, and Education Experian ranks #1 or #2 for 22 of the 24 attributes, and #3 for the two others (out of 12 companies being analyzed) Experian consistently has the largest number of HEMs that are 90% or more likely to be accurate “As a member of the Truthset Data Collective, Experian received top ranks across a variety of categories for its data. The entire digital advertising world runs on data, but focusing on data accuracy is going to drive the next phase of innovation for the industry, enhancing ROI for advertisers, CPMs for publishers, and relevant experiences for consumers.” Chip Russo, President As Truthset's recent study highlights, the data matched between hashed emails and postal addresses is crucial, underpinning everything from targeted ads to TV audience measurement. Highly accurate HEMs linked to high-quality demographic data should be the foundation of any marketing plan. Advertisers are able to overcome the complexities of identity resolution by tying online and offline touchpoints together to deliver a consistent message across channels. Real-time relevance, powered by ethical AIExperian combines validated identity data with intelligent technology to deliver marketing that works for people and brands. Companies are striving to eliminate marketing waste and provide consumers with personalized marketing and the advertising industry can have confidence that Experian’s marketing data has been externally validated as being highly accurate. The accuracy of our data will power better marketing initiatives, like insights, targeting, identity, and measurement. Whether you're optimizing for reach, relevance, or ROI, AI is changing how marketing works. Experian’s human-centered, privacy-first AI makes it easier to adapt, act faster, and connect with consumers in ways that are more meaningful. Let's start a conversation about how we can fully realize the potential of data-driven advertising together. Contact us today FAQs What is Truthset, and why does their validation matter? Truthset is an independent data validation company that reviews and ranks data providers based on accuracy. Their ratings help advertisers understand which data sources they can trust. Experian ranks #1 in data accuracy according to Truthset. How does Experian’s performance compare to others in Truthset’s study? Experian ranks #1 for accuracy in multiple categories, including Age, Geography, and Presence of Children, and holds the largest number of hashed emails that are 90% or more likely to be accurate. Why is data accuracy so important for marketers? Accurate data is important for marketers because it leads to more efficient targeting, reduced ad waste, and better campaign performance. It also reduces compliance risk by helping advertisers engage responsibly. Experian's data is ranked #1 in data accuracy according to Truthset. How does Experian use AI responsibly? Experian’s privacy-first, AI-driven models clean, enrich, and validate data while respecting consent and ethical standards. How can advertisers get started with Experian's data? Connect with the Experian team to learn how our validated data and AI-powered solutions can strengthen your targeting, insights, and ROI. Latest posts

In this article…Typical paths to programmatic TV ad buying What platforms can your programmatic ads show on?Where to get started with programmatic TV buying How to optimize your bids for smarter ad spend In advertising, it’s crucial to maintain efficiency and cost-effectiveness through every campaign. Whether you’re a seasoned marketer or just starting with programmatic advertising, finding the best deal for programmatic TV ads is essential. In this blog post, you’ll learn about the intricacies of programmatic TV and how you can uncover the best paths, platforms, and strategies to maximize your advertising budget. Typical paths to programmatic TV ad buying Programmatic advertising has revolutionized how businesses reach their target audience on television and has become an increasingly popular marketing approach. So far, in 2023, 87% of connected TV (CTV) ads have been bought using programmatic methods. That percentage is expected to continue rising as more advertisers take advantage of this buying method. To find the best deal for cheap programmatic TV, it’s essential to understand the typical paths to programmatic media buying: direct deals and programmatic auctions. Direct deals One common route for programmatic ad buying is direct deals with publishers and broadcasters. This approach gives you more control over your ad placements, allowing you to negotiate pricing and secure prime time slots. However, this method can be expensive as premium placements often have a premium price tag. Programmatic auctions Another option is programmatic auctions, where advertisers bid on available ad inventory in real time. These auctions can be public or private, each with its own benefits. Public auction Public auctions are the primary marketplace for cheap programmatic TV ad buying, and advertisers compete in real-time for available ad slots. This option can be cost-effective if you are strategic with bidding. However, it can be highly competitive, which could drive up prices. Private auction A private auction provides a more controlled bidding environment. These auctions offer access to premium inventory and the ability to negotiate directly with publishers and broadcasters. Prices are typically higher at private auctions, but they can lead to more exclusive, high-quality ad placements to better reach your target audiences. Auction vs. direct The auction vs. direct debate is crucial for finding the best deal in programmatic TV advertising. Direct programmatic ad buying involves establishing personal relationships with publishers and broadcasters. This approach offers more control over ad placements, creates the potential for long-term partnerships and premium positions, and allows for more negotiation power on pricing. On the other hand, the auction route relies on real-time programmatic auctions that give advertisers more efficiency, dynamic pricing through competitive bidding, and access to diverse ad inventory. This approach also allows better data-driven decision-making to help advertisers with precise targeting and optimization. What platforms can your programmatic ads show on? Programmatic ads are limited to traditional television. You can use various platforms to broaden your audience reach, including blogs, lifestreams, and more. Multiple platform options also let advertisers search around for cheap programmatic ad buys. Some popular platforms include: Display and video YouTube videos Custom publisher formats Audio ads Unexpected platforms where you can buy programmatic TV ads Some unexpected platforms offer unique opportunities to find the best programmatic TV deals. Some of these examples include: YouTube shorts Mobile games Music streaming apps Pinterest TikTok Try local Local (linear) television advertising often flies under the radar, but it can be a goldmine for finding cheap programmatic ad buys. Customize your messages to local audiences by focusing on specific geographic regions. This level of specificity can lead to highly efficient ad campaigns with lower costs compared to national or global placements. Where to get started with programmatic TV buying When it comes to programmatic TV ad buying, you have two main options: using an agency or going directly to the marketplace. Using an agency Advertising agencies have the expertise to navigate the complexities of programmatic TV ad buying. By working with one, you may be able to find better deals and get help negotiating terms and optimizing your campaigns. However, remember that agency fees could take up a large portion of your budget. Going to the marketplace For a more hands-on approach, you can explore programmatic ad buying directly through the marketplace. This approach gives you direct control over your campaigns and the ability to explore different deals and platforms. However, you’ll want to understand programmatic advertising strongly to ensure you make the most of the marketplace. How to optimize your bids for smarter ad spend Finding the best deal doesn’t end with choosing the right options for programmatic buying. You need to focus on smart bidding strategies to optimize your advertising budget. Choose placement based on segmentation Segmentation is vital to maximizing your ad spend. By targeting the specific audience segments most likely to convert, you can make the most of your budget. Platforms often offer options to narrow your audience based on behavior, interests, and demographics. Work with an identity resolution provider Identity resolution is the process of matching online and offline customer data, giving you a comprehensive view of your target audience. By working with an identity resolution provider, you can make informed decisions about where and when to place your programmatic TV ads for the best results. Create an omnichannel view of your campaign To find the best deals on cheap programmatic ads, it’s essential to have an omnichannel view of your advertising campaign. By coordinating your programmatic media with other channels, you can create a seamless and cohesive brand experience for your audience. Get started with programmatic TV today Now that you better understand programmatic TV ad buying, you’re ready to get started. But how can Experian help you make the most of your programmatic advertising efforts? At Experian, we offer a suite of data-driven solutions to enhance your programmatic TV advertising campaigns. Our extensive data and identity resolution capabilities empower you to make informed decisions to improve your targeting capabilities, optimize engagement, and more. By working together, you can unlock the potential of your programmatic TV ads and find the best deals to optimize your advertising budget. Get started today Latest posts