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
Latest posts
Cuebiq’s mission, as an offline intelligence and measurement company, is to quantify how digital marketing impacts offline consumer behavior. This case study shows how Cuebiq partnered with Experian to continue delivering in-store lift analyses despite signal loss. To achieve this, Cuebiq used Experian’s Activity Feed to resolve digital ad exposures to mobile ad IDs, so that marketers could know the effectiveness of their media campaigns on in-store visits and purchases. Even as Google backs away from third-party cookie deprecation, the need for flexible, future-proof identity solutions remains. By working with Experian, Cuebiq could help their clients more accurately measure their campaigns and optimize their media. Challenge: Increasing match rates across digital platforms Cuebiq wanted to enhance how well they connect digital ad exposures, across web, mobile, and connected TV (CTV), to mobile ad IDs (MAIDs), of consumers who visited their clients’ stores. They needed a single technology partner who could collect data across these environments and improve these connections. With the ability to resolve exposures to households, individuals, and MAIDs to then facilitate attribution of digital exposures to offline store visitation, Cuebiq could continue to provide accurate reports on how digital ads impact offline consumer behavior. This clarity in data enables their clients to fine-tune their marketing strategies. Cuebiq’s key objectives included: Resolving digital exposures to MAIDs Increase overlap of offline and online data Improving the effectiveness of offline measurement offerings Activity Feed: The solution to increase match rates Experian’s Activity Feed pulls together fragmented digital event data from all digital channels, including browsers like Safari and Firefox that restrict traditional tracking methods. Activity Feed ingests and ties digital ad exposure and website activity data to household or individual profiles hourly, helping client's associate ad exposures to impact by a household or individual. Activity Feed plays a crucial role in overcoming fragmented data and helping marketers accurately measure their cross-channel marketing efforts. Cuebiq used Activity Feed to resolve exposure data from all environments, even cookieless ones, to a single household or individual and saw significantly higher match rates. Cuebiq received their clients’ ad exposure data resolved to mobile ad IDs (MAIDs) and correlated it to their clients’ in-store visitation and sales. To do so, Cuebiq implemented the Experian pixel, which they placed to track all their marketers’ impressions (mobile, CTV, web traffic, etc.). The Experian pixel collects information in real-time, such as: Timestamp Cookies Device ID (MAID/CTV) when available IP address User-Agent Impression ID “Before we started working with Experian, we couldn’t fully maximize ad views across the complex digital landscape. 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 Results Activity Feed combines separate data streams and matches them back to a household. This enables Cuebiq to expand household IDs and accurately identify MAIDs that are seen in-store for cross-channel measurement. Over a 21-day period, Cuebiq passed ~1 billion events to Experian. Activity Feed resolved 85% of total events to a household, 91% of which were tied to MAIDs. By implementing Activity Feed, Cuebiq was successfully able to: Gain clearer insights into the success of their client‘s campaigns Match consumer engagements in a privacy-compliant manner Tell the story of the key performance indicators (KPIs) related to their marketing efforts A solution for measurement across cookied and cookieless environments Activity Feed is prepared for whatever the future of signal loss holds in store, capable of using third-party cookies and alternative IDs, like UID2.0s, ID5 IDs, hashed emails, and IPs for identity resolution. Experian remains fully committed to exploring a suite of next-generation solutions and prioritizing continued testing of different industry solutions to help customers maintain consumer visibility amidst signal loss. We’ve identified six viable alternatives to third-party cookies, how these alternatives fall short, and how Experian can help you navigate these alternatives. “Experian’s customer service is extremely efficient and collaborative. We trust them to keep putting our business first long-term.”Luca Bocchiardi, Director of Product, Cuebiq Download the full case study to discover how Cuebiq used Activity Feed to overcome their challenges. Your path to maximizing match rates and resolving data from cookieless environments starts here. Download the full case study Contact us About Cuebiq Cuebiq is transforming the way businesses interact with mobility data to providing a high-quality and transparent currency to map and measure offline behavior. They are at the forefront of all industry privacy standards, establishing an industry-leading data collection framework, and making it safe and easy for businesses to use location data for innovation and growth. To learn more, visit their website at www.cuebiq.com Latest posts
Experian offers a suite of next-generation tools built on the Experian Digital Graph to help marketers adapt to ongoing signal fragmentation and privacy regulation. These solutions enable brands to maintain behavioral targeting and campaign performance even as traditional signals decrease. Through Experian's integration with Audigent, we now offer early access to Curated Deals, contextually-indexed audiences, and Geo-Indexed Audiences that help advertisers test privacy-first audience activation in a period of accelerating signal fragmentation. Experian and Audigent offer a data management platform (DMP) that enables publishers to collect, manage, and understand their first-party data, while also accessing third-party data, to better monetize their data assets. At the same time, Experian continues to advance its signal-agnostic Digital Graph, which already covers industry-standard universal IDs, like Unified ID 2.0 (UID2) and ID5, as well as both IPv4 and IPv6, which are becoming more and more prevalent. Together, these updates give marketers a reliable, privacy-forward foundation for audience reach, cross-device targeting, and measurement as signal fragmentation continues to reshape digital advertising. How is Experian's Digital Graph evolving in a multi-signal world? Signal fragmentation is reshaping how marketers reach and measure audiences, so we continue to strengthen the Experian Digital Graph to keep performance steady across channels. Recent updates focus on improving connectivity, accuracy, and durability: More signals to keep reach strong: We added IPv6 and phone-based UID2s to our Digital Graph, building on the hashed email (HEM)-based UID2s we already support. Better AI models for cleaner identity data: We improved our AI clustering and device classification models to sharpen ID resolution. More stable customer profiles: We enhanced stability in our Digital Graph by tying it more closely to our Offline Graph, ensuring more complete customer profiles that last over time. Together, these updates give marketers a more resilient identity foundation and help maintain performance in a market defined by rising signal fragmentation. How is Experian advancing contextual targeting and geo-based targeting with our partners? AWith more signals in market and traditional identifiers becoming less reliable advertisers are returning to tactics that don’t rely on cookies. Contextual targeting and geo-based targeting have both delivered results for years, and are becoming even more important as marketers look for consistent ways to reach audiences without relying on ID-level data. Experian is modernizing these approaches by pairing Experian Marketing Data with contextual and geographic signals to create privacy-first activation paths that hold up as identifiers fade. With our acquisition of Audigent, we’re expanding the ways marketers can activate privacy-forward audiences at scale. Together, these capabilities strengthen how brands reach people with relevant experiences, even as traditional IDs fade: Contextually- Indexed Audiences: We index Experian’s syndicated audiences against contextual signals inside private marketplace (PMP) deals using Experian’s Digital Graph and Audigent’s Hadron ID. In a 15-day test with a national advertiser, this ID-less approach exceeded click-through rate goals by 25% while matching the scale and delivery of ID-based campaigns. Geo-Indexed Audiences: We also offer Geo-Indexed Audiences that use location-based signals to reach consumers in the right places and moments, providing another durable option when IDs are unavailable or restricted. Evolving toward more intent-rich signals: Looking ahead, we are developing ways to incorporate additional intent indicators, such as content consumption patterns and repeated contextual behaviors, to give marketers stronger cues about where their audiences are in their decision process, all without relying on user-level identifiers. Together, these tactics make contextual and geo-based targeting more measurable, scalable, and privacy-safe, helping marketers keep performance steady as signal fragmentation accelerates. Which alternative IDs does Experian's Digital Graph support? Experian’s signal-agnostic Digital Graph is designed to interoperate across identity frameworks and connect digital identifiers into a single, privacy-compliant system. It now supports alternative IDs such as: UID2s ID5 IDs HEMs Connected TV (CTV) IDs Our Digital Graph is rebuilt weekly to maintain high accuracy and addressability across campaigns. These capabilities ensure marketers can continue cross-device activation and measurement as legacy signals decline. “Experian is a valued partner in Nexxen’s unified identity graph powering the Nexxen data platforms, which bring us the ability to seamlessly onboard client data, activate campaigns, and measure performance while maximizing biddable opportunities for our advertisers. They help ensure our clients can continue reaching audiences at scale and successfully execute campaigns.”Chance Johnson, Chief Commercial Officer What's next for Experian's identity and connectivity roadmap? As digital signals change and CTV viewership grows, we continue to expand the identifiers supported within the Experian Digital Graph. Recent additions such as IPv6 and phone-based UID2s, alongside existing IPv4 and email-based IDs, help marketers and platforms understand the full customer journey across screens and households within a privacy-first framework. We are committed to maintaining and increasing connectivity in the digital world, ensuring that clients can reach their audiences even as familiar signals decline. A core part of that commitment is strengthening the overlap between our Offline and Digital Graphs. This work improves cross-channel consistency and gives marketers more reliable links between individuals, households, and devices. As we keep investing in identity resilience, clients can expect ongoing innovation that supports addressability and performance despite evolving privacy constraints. Start exploring privacy-first audience targeting through Experian's data marketplace How can marketers maintain addressability at scale today? Experian’s connected toolkit of signal-agnostic advertising solutions empowers brands to continue reaching audiences with confidence: Identity resolution through Experian’s Digital Graph Curation via Audigent Cross-device measurement built for privacy compliance Universal ID interoperability across platforms As the industry adjusts to signal fragmentation, Experian provides the scale, trust, and connectivity required to sustain effective targeting. A resilient path forward for addressable advertising As the AdTech industry continues to evolve, Experian’s Digital Graph continues to power interoperability, scale, and privacy-safe measurement. With data ranked #1 in accuracy by Truthset, collaborations across the AdTech ecosystem, and ongoing support for universal IDs, Experian gives marketers a reliable path to addressable, measurable, and privacy-first advertising. Connect with our team About the author Budi Tanzi, VP of Product and Solution Engineering, Experian Marketing Services 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. FAQs How does Experian's Digital Graph help marketers prepare amidst signal fragmentation? Experian’s Digital Graph enables consistent audience targeting and measurement across browsers and devices using privacy-compliant identifiers. It connects verified digital data, giving advertisers continuity as traditional IDs become less reliable.Experian’s Digital Graph supports consistent audience targeting and measurement across browsers and devices using privacy-compliant identifiers. By connecting verified digital data, the Digital Graph gives marketers continuity as signals such as cookies, device IDs, and IP-based identifiers become less reliable. Recent updates, including IPv6, phone-based UID2s, and improved AI clustering, help you maintain reach and accuracy even as digital signals shift. What partners support Experian’s signal fragmentation strategy? Experian works with a variety of partners to source digital IDs. We work with The Trade Desk and ID5 to incorporate their universal IDs into our Digital Graph. Additionally, Audigent, now a part of Experian, offers Curated Deals, which are a non-cookie dependent way to provide reach and relevance. Does Experian’s Digital Graph comply with privacy standards? Yes. Experian’s identity and data solutions align with IAB Data Privacy Standards and regulations such as the California Consumer Privacy Act (CCPA), ensuring transparent and compliant data use. What future plans does Experian have for the Digital Graph? Our current focus is to increase the overlap between our Offline and Digital Graphs, enabling more cross-channel addressability for our clients. We also continue expanding supported identifiers and improving our AI models to maintain performance as signal fragmentation grows. How can I get started testing Experian’s signal-agnostic solutions? You can reach out directly to explore privacy-first activation options, including contextual, geo-indexed, curated deals, and ID-based strategies supported by the Experian Digital Graph. Latest posts
What is Experian Third-Party Onboarding? Experian Third-Party Onboarding is a our capability that streamlines how third-party data providers distribute and monetize their audience segments across Experian’s connected ecosystem. It reduces friction in the onboarding process, allowing data providers to reach more buyers through direct integrations with over 20 programmatic, social, and TV platforms. Key benefits at a glance Future-proofed addressability Access to premium connected TV (CTV) and cross-channel activation Clear pricing and faster reporting Self-service control and expert support Flexible audience support Data providers including AnalyticsIQ, Circana, Dun & Bradstreet, PurpleLab, PlaceIQ, and over 20 more are already using Experian Third-Party Onboarding. Read the announcement in AdExchanger Why now? The industry shift driving third-party onboarding Marketers and platforms are under growing pressure to maintain audience addressability amidst signal loss and increasing privacy regulations. Experian’s Third-Party Onboarding meets this demand by unifying AI-enhanced identity, compliance, and monetization in one place. What's the difference between first-party and third-party onboarding? Find out here How does Experian Third-Party Onboarding improve connectivity and addressability? Experian Third-Party Onboarding builds on the infrastructure that powers our own syndicated audience distribution. Since 2020, we've shifted from third-party partners to direct platform connections, giving data providers access to the same high-performance network. Verified performance metrics The data below highlights the performance advantage of Experian Third-Party Onboarding compared to our competition. MetricExperian performanceProgrammatic addressability50% higherConnected TV (CTV) addressability73% higherActive digital IDs (weekly)4.2 billion "Moving beyond cookie-only third-party onboarding solutions is critical for our users in the age of cookie deprecation, and Experian's identity graph does that. Experian's match rates and speed to turn around audiences to a large number of platforms is critical for our political buyers during this very busy campaign season."Paul Westcott, EVP What unique advantages does Experian Third-Party Onboarding offer? Experian Third-Party Onboarding combines AI-powered identity technology with user-centric design to make onboarding seamless and scalable. Future-proofed addressability With Experian's advanced Digital and Offline Graphs embedded within our Third-Party Onboarding solution, user audiences will automatically be expanded to a deep set of identifiers to ensure scale and maximum addressability. Identifiers include: CTV IDs Mobile ad IDs (MAIDs) IP addresses Unified I.D. 2.0 (UID2) Hashed emails (HEMs) and more Access to premium CTV and cross-channel activation Tap into 300 million CTV IDs and 350 million UID2s through integrations with TV and digital platforms. Clear pricing and faster reporting Enjoy a straightforward, revenue-share pricing model with self-service reporting available within days. Track segment adoption, advertiser usage, and destination performance instantly. Flexible audience support Seamlessly onboard bulk syndicated audience taxonomies and custom audiences to programmatic, social, and TV platforms through our existing integrations. “Both activation platforms and data providers familiar with our world-class identity graph and top-notch service have proactively asked Experian to provide third-party onboarding services. After listening carefully to how we can improve upon their current setup, we are excited to bring a solution to the market that directly addresses their needs.”Scott Kozub, VP, Product Key takeaways Experian Third-Party Onboarding streamlines audience monetization for third-party data providers. Built on Experian’s AI-powered identity graph with direct integrations across more than 20 programmatic, social, and TV platforms. Experian Third-Party Onboarding provides 50% greater programmatic addressability and 73% higher CTV reach than the competition. Experian Third-Party Onboarding is privacy-first, transparent, and designed for interoperability. Connect with our team to learn more about Experian Third-Party Onboarding and how you can get started About the author Scott Kozub VP, Product, Experian Scott leads the Product Strategy team at Experian Marketing Services working across the entire product portfolio. He has over 20 years of product experience in the marketing and advertising space. He’s been with a few startups and spent many years at FICO and Oracle Data Cloud heavily focused on loyalty marketing and advertising technology. Experian Third-Party Onboarding FAQs What makes Experian’s onboarding process different from other providers? Experian Third-Party Onboarding eliminates intermediaries and uses direct integrations with more than 20 programmatic, social, and TV platforms. This creates faster audience availability, higher match rates, and transparent pricing. Can data providers onboard both syndicated and custom audiences? Yes. Data providers can upload and manage syndicated taxonomies or custom audience builds for activation across Experian’s network of programmatic, social, and CTV destinations. How quickly can data providers access reporting? Self-service reporting is available within days of audience activation, giving providers near real-time visibility into usage by destination, advertiser, or campaign. Where can I learn more about Experian’s identity capabilities? Visit our website to learn more about Experian's AI-powered identity solutions. Latest posts