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
We’re excited to introduce our new Q&A series, Ask the Expert! Ask the Expert will feature a series of conversations with product experts. We’ll spotlight and dive into the areas you care most about: identity resolution, targeting, attribution, and more. Our first segment features a conversation on Hashed Email. Jeff Tognetti, the Product Development Team Lead at DealerX joins us to chat with Experian’s Chief Revenue Officer, Chris Feo. Chris and Jeff review how to future-proof your identity strategy by exploring Hashed Email use cases, technical details, and offer an expert point of view on the cookieless future. Let’s review a few highlights from their conversation. DealerX’s use case When DealerX first started working with us, we focused on digital identity. DealerX wanted to understand the browsing habits of their first-party shoppers that relate to their clients: What they’re doing How they’re interacting with client sites and products Apply those learnings to target them across the web Eliminate ad fraud and targeting waste Our partnership gave DealerX the ability to take an anonymous consumer from anywhere across their portfolio of customers and understand who they are, while in an anonymous state. Then, they could activate on any channel where that consumer may be in the market for a product. This allowed DealerX to resolve who these people are as they browse the web, leading to reduced ad spend and targeting waste. This was the original and primary use case for DealerX when partnering with us. So, when did Hashed Email come into the mix for DealerX? Before we dive into the specifics, let’s take a step back and understand Hashed Email. What is Hashed Email? Hashed Email is a privacy-safe identifier that can further enrich the connection between the online (digital) and offline (real world) ecosystems. When paired with the Tapad Graph with access to Tapad’s universe of email data, it can provide maximum coverage for targeting and measurement when combined with IDs such as cookies, mobile ad IDs (MAIDs), connected TV (CTV) IDs, and IP addresses. Email hashing uses a method of coding to transform an email address into a jumble of numbers and letters so that it’s fully pseudonymized and privacy safe. Hashed emails can then be used as a digital identifier when a user is logged in to that email and trace their activity – without linking back to the user’s real email address. This allows marketers to collect data on their users and understand their behavior without knowing their email address – a win for both consumer privacy and marketer insight. DealerX & Hashed Email DealerX was one of our first customers to onboard Hashed Email to the Tapad Graph. Adding Hashed Email gave them a privacy-compliant way to work with identity and resolve what a user did on their site. This allowed them to gain insight into where an ad and impression was served; even the day and time these actions occurred. Now, we’re not the only data partner that DealerX works with. Many companies offer the notion of converting email to a digital ID in a privacy-safe way. How does DealerX evaluate the right data partner? Evaluating the right data partner When we say, ‘data partner,’ we’re referring to the data, the service, and the support. The most important characteristics to consider when choosing a data partner, according to DealerX, include: Technical prowess Efficiency Agility Scalability Why did DealerX choose to partner with us? Our services met the characteristics they were looking for in a data partner. We grew the product by iterating on features that worked best for Jeff and his team. The rollout was organized, efficient, and lacked bureaucracy, which can slow down an implementation timeline. While we started our relationship with DealerX as a vendor, now we're partners. How did we transition from vendor to partner? Transitioning from vendor to partner The key to a great partnership is trust. It’s tough to navigate an ecosystem with numerous companies that claim to have the same products and services. The relationship will start off as vendor-client, and both teams will get to know each other’s strengths and weaknesses. As the vendor makes your work seamless and offers an efficient implementation process, the relationship turns into a partnership. There’s more! This is just a taste of Chris and Jeff’s conversation. Visit the Ask the Expert content hub to watch a recording of the conversation. Stay tuned for future segments in our Ask the Expert series. We’re just getting started! Get in touch About DealerXIn just a few short years, DealerX has grown to serve 1,000’s of Tier 3 dealerships across all brands, enterprise partners and OEMs. Their keen approach to data, analytics, machine learning and programmatic initiatives have led DealerX to quickly become the most savvy player in the automotive space. DealerX has helped automotive retailers save 10’s of millions of dollars by avoiding fraud and eliminating wasteful ads pends, while dramatically reducing “cost per sale." In doing so, their partners significantly outperform those leveraging generic “one size fits all” competitive offerings. To learn more, visit their website at Dealerx.com.
While the weather outside is frightfully hot this summer, it’s never too soon to start thinking about the holidays – and consumers are more likely to start their holiday shopping early this year. To get you ready for the 2022 holiday shopping season, we looked back at consumer shopping trends from 2019-2021. What did we learn and what trends do we expect to see this year? Let’s look back. A look back Over the last three years, average consumer spending has increased. Record 2021 holiday sales came amidst a wave of COVID-19 cases, rising inflation, labor shortages, and supply chain problems. Despite these challenges, consumers continued to let it snow when it came to spending during the holiday season. 2022 has been a year with its own economic roadblocks – the war in Ukraine, rising gas prices, and recession concerns. Yet 2021 was a banner year for holiday sales despite its obstacles, and we predict similar trends in the 2022 holiday shopping season. What trends do we expect to see for the most wonderful time of the year? 2022 predictions While consumer spending remains strong, changing economic conditions continue to shape shopper behavior. To develop our predictions for 2022 holiday shopper behavior, we focused on four key areas: When consumers shop Where consumers shop What consumers purchase Consumer media preferences Now, let's make our holiday campaign planning checklist and check it twice. When consumers shop Chestnuts roasting on an open fire. Jack Frost nipping at your nose. Those aren’t the only ways to know when the holiday season has begun. Shoppers tend to spread out their holiday purchases across multiple months and were more likely to start shopping earlier. To understand holiday retail sales trends from 2019-2021, we identified four shopper segments: Early Shoppers Traditional Shoppers Late Shoppers Random Shoppers What differences did we see between our four shopper segments? Early shoppers made almost half of their holiday purchases in October Random shoppers spread out their holiday purchases evenly across multiple months Late shoppers made almost half of their holiday purchases in December Traditional shoppers made almost half of their holiday purchases in November While December continues to dominate holiday sales, October has started to gain traction over the last three years, and November remains a core shopping month. Everybody knows a turkey and a mistletoe help to make the season bright but knowing when your consumers are most likely to shop will help deck your campaign planning halls. Jingle bell rock your way to holiday sales that shine bright with our tips to prepare for earlier shoppers: Offer targeted promotions earlier in the shopping season Target your ads based on the shopping habits of your customers throughout the season Where consumers shop There’s no place like home for the holidays but most consumers aren’t shopping from home. Despite the rise in online shopping, brick and mortar locations continue to dominate holiday sales. October is the most popular month to take a one-horse open sleigh to a store, and consumers gather around the fire to online shop in November and December. With most shoppers preferring to shop in-store, and e-commerce popularity growing, it’s critical to think about bridging the gap between your online and offline presence for the consumer. Are you offering multiple paths to purchase with solutions such as BOPIS (Buy Online, Pickup In-Store)? Go down in history like Rudolph with our tips to prepare for more in-store shopping: Focus on in-store shopping experience technology (self-checkout, VR, QR codes, scan to pay, etc.) Offer multiple paths to purchase to connect your online and physical presence through methods such as BOPIS (Buy Online, Pickup In-Store), BORIS (Buy Online, Return In-Store), and ROPO (Research Online, Purchase Offline), etc. What consumers purchase When it comes to holiday gifts, for some, only a hippopotamus will do. Compared to pre-pandemic, shoppers are spending more at apparel stores and mass retailers. Spending at specialty retailers, warehouse clubs, and on office, electronic, and games is almost the same across holiday and non-holiday shopping months. Time for toys and time for cheer may be year-round, but are there any correlations between where consumers shop (online vs. in-store) and what they purchase? Our data found that shoppers who bought from mass retailers were more likely to shop online, while shopping for apparel and warehouse clubs was done at a physical store location. Put this insight to the test by thinking through how you can target your consumer based on where they shop in-store and online. You just might find that hippopotamus at a brick and mortar mass retailer location! Consumer media preferences Do you see what I see? While we are seeing a shift to digital media channel preference, consumers still engage with traditional media channels like direct mail and the traditional newspaper. Successfully connecting with your customers involves capturing their attention through the right channel. We found that our four shopping groups prefer a mix of traditional and digital media channels. What does your media channel mix look like? Hark! The herald angels sing of ways to adapt to the change in holiday spend and media preferences: Align your activation efforts to digital, but don't forget about traditional channels Expand your targeting and activation focus beyond in-store vs. online Download our new 2025 report For a deeper dive into our predictions and actionable insights you can use to take your holiday campaign planning home for the holidays, download our new 2025 report, in collaboration with GroundTruth. Experian data can help you refine your content and creative strategy to achieve maximum ROI for each campaign across all your channels. Download now Get in touch
Fluctuation in consumers' behaviors and preferences during the pandemic has prompted a shift in the practices and patterns that we are accustomed to. Powerful market forces are emerging as society builds a new normal, forcing marketers to rethink their strategy, activation, and measurement. It is important for marketers to understand the forces that influence the industry, and to learn about alternative approaches that can be applied to help reach their goals. In our recent webinar, ‘How to Adjust to the New World of Advertising,’ Experian’s Chris Feo and guest speaker Tina Moffett, Principal Analyst at Forrester Research, lead an in-depth discussion of the market dynamics and developments guiding us to this new era of advertising. They talked about: The pandemic changing consumer behavior Emerging media channels Data deprecation The pandemic and increased media consumption The pandemic caused seismic shifts in consumer behaviors and business operations. Work from home became the norm, consumers made drastic changes in their routines, and businesses had to adjust to new operating models as local economies shrank and supply chains strained. As stay-at-home orders were put into effect, consumers increased their media consumption drastically as more time was spent at home in front of their devices. According to Forrester, by June 2020, 48% of US online adults subscribed to at least one streaming service, while 34% had signed up for multiple. Forrester contends that: Social and online video/OTT will grow fastest among other categories of ad spend Connected TV outpaces other video advertising channels 55% of consumers plan to continue watching movies at home rather than in theatres after the pandemic Data deprecation The ways that marketers can personalize content and measure the effectiveness of campaigns is changing with data deprecation. Consumer preferences, regulations, and technology providers are evolving the way advertisers understand consumers, causing changes to existing identity-based marketing strategies. According to Forrester, 66% of marketers are investing in first-party data collection strategies to adapt to these market forces. Marketers need to adjust Demand for a new advertising approach Changes in consumer behavior, evolving media consumption patterns, and data deprecation have marketers looking at new approaches to targeting and measurement. However, with the future uncertain in many of these areas, marketers need to test and experiment to determine which approach is best for them in particular use cases. Shifting to a new world of experimentation Advertisers need to start by assessing their current environment to determine where they have exposure today, which methods of identification they are using, and how those channels may be impacted by the market forces outlined earlier. From there, they need to start asking themselves how they can assess identity in the future or if there is another way to approach advertising in that specific channel. There are specific areas where marketers can look to make investments in terms of experimentation: Adoption of cleanrooms to support analytics and audience targeting Investment in first-party data to overcome the issue of data deprecation Shifting to a value-based, omni-channel advertising mindset to address customers’ needs Investment in data-savvy resources to manage media insights Adoption of consistent cross-platform advertising metrics and currencies to inform better planning If you missed our recent webinar ‘How to Adjust to the New World of Advertising,’ you can listen to the full discussion here. Get in touch