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

Brands are increasingly focused on offering personalized experiences while respecting consumer privacy. Addressability enables them to reach specific audiences with relevant messages, and personalization crafts unique content that aligns with each audience's interests and needs. By combining these strategies, brands can create more relevant and effective marketing campaigns. With new regulations and signal loss reshaping the landscape, alternative identifiers like the ID5 ID and The Trade Desk's Unified I.D. 2.0 (UID2) are gaining importance. These tools give advertisers a more holistic view of consumers across channels, enhancing personalization and addressability even as traditional third-party cookies lose relevance. To shed light on this topic, we interviewed experts from Audigent, Basis Technologies, CvE, ID5, MiQ and others. They shared insights on navigating privacy, utilizing new identifiers, and enhancing personalization with consent. Drawing from their perspectives, we've identified five considerations to help brands adapt and succeed in this evolving landscape. 1. Embrace a privacy-centric approach With the increasing focus on consumer data protection, prioritizing privacy in your addressability efforts is essential. Implement strict data guidelines to protect personally identifiable information (PII) and maintain compliance with state-specific regulations. To achieve this, empower consumers by providing clear and transparent choices about data sharing and honoring their preferences. Avoid targeting based on protected categories or sensitive information. By adopting a privacy-first mindset, you can build consumer trust while still delivering relevant advertising experiences. “It's important to champion consumer privacy and the free internet. We need to strike a balance between the two. This balance is essential for our jobs, the economy, news, politics, and all the valuable content and information we rely on.”Drew Stein, Audigent 2. Personalize with consent Consumers are more willing to share their information when they see clear benefits. In fact, over half of shoppers—and two-thirds of Gen X and Millennials—express a desire to receive holiday shopping deals directly from their preferred brands1. By offering value through loyalty programs, special offers, or interactive platforms, you can personalize experiences without compromising privacy. To implement this strategy, encourage consumers to share their preferences and needs by being transparent and giving them control over their data. This approach builds trust, empowers your audience, and enhances personalization. “Building personalization based on the data consumers have consented to share should lead to a positive experience that drives better engagement because it's relevant to them.” April Weeks, Basis Technologies 3. Personalize with contextual targeting Contextual targeting involves delivering ads based on the content users are currently engaging with rather than user identifiers. By focusing on personalization through contextual targeting and dynamic content, you can align your strategies with your audience's real needs and interests. This approach allows advertisers to reach consumers on websites with more visitors matching the demographics, behaviors, or interests they want to target. “Personalization absolutely can thrive. We have various solutions, all utilizing IDs for targeting and personalization. Beyond that, we can also personalize using context, geo-contextual data, and creative strategies.” Georgiana Haig, MiQ 4. Use alternative identifiers As advertisers move beyond third-party cookies, exploring alternative identifiers offers reliable means to connect with consumers. Options like email addresses or device IDs provide direct connections, improving targeting accuracy. Utilize identity graphs to link different signals and identifiers to establish strong ties to individual users or households. This approach maintains, and can even enhance, your ability to reach the right audience and measure campaign performance. “It's not just about maintaining addressability. It's about massively improving addressability. When we run tests with some of our clients, they're seeing 30, 40, 50, 60% incremental reach by using ID5 versus cookies.” Mathieu Roche, ID5 5. Build partnerships Navigating the complexities of addressability doesn't have to be a solo effort. Partnerships between brands, publishers, and tech providers can lead to innovative solutions that benefit everyone. Consider engaging in data partnerships to access new audience segments without maintaining extensive data. Collaborations focused on your tech stack can enhance your ability to deliver personalized content effectively and at scale. “The rise of second-party data partnerships is going to be an interesting trend over the next couple of years. And if you need mass scale across the world, I think that's a much more cost effective and scalable way to do it.” Paul Frampton, CvE Steering toward success The future of addressability and personalization hinges on your ability to adapt to the changing privacy landscape while delivering meaningful, personalized experiences. By focusing on these five key considerations, you can navigate the complexities of modern advertising, build stronger relationships with consumers, and drive sustainable growth. Connect with our addressability experts Footnote Online survey conducted in June, 2024 among n=1,000 U.S. adults 18+. Sample balanced to look like the general population on key demographics (age, gender, household income, ethnicity, and region). Latest posts

Originally appeared on VideoNuze Connected TV (CTV) is a leading platform in digital advertising, combining the precise targeting of digital ads with the broad reach and storytelling power of traditional TV. This creates an immersive experience that offers full-funnel marketing results. As consumer time spent watching CTV has doubled over the past five years and linear TV viewing patterns have shifted, advertisers now see CTV as essential for reaching and engaging audiences. Of those CTV users, viewers increasingly choose to watch content with ads. By 2025, free ad-supported streaming TV (FAST) viewers will increase to 49% of CTV users, further highlighting the opportunity for marketers to captivate audiences in ways standard digital display ads can't match. With the explosion of consumer time spent and advertising dollars following, making CTV more addressable and targeted requires a combination of identity and audience. Historically, the IP address has been the most popular way to target a household with a CTV (e.g., LG, Samsung, Vizio device) or streaming platform (e.g., Disney+, Paramount+, Roku, Amazon Prime, etc.). As IP addresses continue to fluctuate in terms of durability, consistency, and type, including the increased adoption of IPv6, we have seen a new incumbent enter the CTV ecosystem: Unified ID 2.0 (UID2). UID2 stands out as a particularly valuable tool for CTV advertisers. It provides a standardized way to identify and target users across CTV and traditional channels like display and mobile while respecting consumer privacy. Given that purchases might not occur on CTV, UID2's ability to link ad exposure on CTV to conversions on other devices is crucial for demonstrating a CTV campaign's true impact. Authenticated audiences are key to CTV's appeal A significant advantage of CTV is its high rate of logged-in, authenticated users. This provides marketers with reliable first-party data for targeting and measurement purposes. UID2 benefits from this since it's a universal identifier based primarily on first-party data, such as people’s email addresses and phone numbers. Authenticated viewers can also be connected across different devices, enabling marketers to understand the full customer journey, which helps attribute conversions more accurately to CTV ads. Key advantages of CTV for digital marketers Superior viewing experience: Larger screens and a captive audience watching high-quality on-demand content Authenticated users: Enables precise audience targeting, more personalized ad experiences, and enhanced cross-device attribution Value exchange: Viewers get cost-effective content with personalized ads, leading to higher engagement "Authenticated viewers and universal IDs like UID2 are revolutionizing CTV advertising, enabling the effective delivery of personalized content and ensuring strong engagement for marketers; Paramount is committed to optimizing across platforms and will continue to utilize tools and advancements that maximize reach for our partners and improve the user experience for our viewers."Travis Scoles, Executive Vice President, Paramount Advertising The role of universal IDs in CTV advertising Universal IDs, like UID2, play a critical role in CTV by ensuring consistent user identification across platforms while respecting privacy. Adoption of UID2 is gaining traction in the TV industry, with brands such as AMC Networks, Disney, Dish Media, FreeWheel, NBCUniversal, Roku, and Paramount integrating it into their digital advertising ecosystem. As authentication increases across traditional digital and mobile apps, especially CTV, universal IDs like UID2 enable cross-device and cross-channel identity strategies without cookies. This is especially important as traditional identifiers like third-party cookies and IP addresses face an uncertain future. Better understand and reach your audience with identity graphs For CTV ad spending to catch up to time spent with CTV, the industry must use these authenticated signals and universal IDs. Identity graphs, like Experian’s, integrate various identifiers (e.g., universal IDs, CTV IDs, IP addresses), allowing CTV platforms to understand relationships between households, individuals, and devices. This understanding enables: Publishers using universal IDs can make advertising on their platform more addressable, which will lead to higher demand. Marketers can achieve greater precision with cross-device targeting, cross-channel frequency management, and more holistic measurement since conversions often happen on non-CTV devices. Viewers receive a more personalized ad experience (without seeing the same ad repeatedly), which will increase engagement with a marketer's campaign. Watch our Ask the Expert video with The Trade Desk to deepen your knowledge on CTV advertising and UID2. Watch the video here Contact us Latest posts

In this article…The rise of omnichannel retailingData and identity-related retail marketing challengesStrategies to help you overcome retail marketing challengesExperian can help advance your retail marketing strategies The questions that keep retail marketers up at night have evolved significantly over the last decade. It wasn’t long ago that marketers would spend their time debating which highway to place their billboard on, whether or not their next TV commercial should be comical or heart-tugging, or even what the optimal time of day was to blast an email campaign to their entire customer list. In 2024, retail marketing has new challenges on the radar. The rise of omnichannel retailing The modern, digital-savvy customer expects a flawless and interconnected shopping experience across touchpoints — one of the many reasons omnichannel marketing is on the rise. Research shows that over half of B2C consumers engage with between three and five channels whenever they make a purchase. For businesses, omnichannel engagement is a lucrative opportunity; McKinsey reports that customers who engage across channels shop nearly twice as much as those using a single channel and usually spend more money. However, the rise in omnichannel engagement also presents several retail marketing challenges, such as the complexity of managing vast amounts of data and piecing together an accurate picture of consumer behavior. Data and identity-related retail marketing challenges Today’s data-driven environment has turned the retail marketing landscape on its head, and businesses have a whole new set of struggles that revolve around identity and data. We identified the top five retail marketing challenges and how to solve them. 1. Knowing what data to capture In the omnichannel era, online and offline data is abundant. When a customer shops at a physical store, they create data points like: What items they purchased What time they visited How long they were there When the same customer shops online, they create a whole new set of data points, such as: What device they used Which items they browsed but didn’t purchase How long they spent on specific pages The vast available data can overwhelm retailers and make it a challenge to determine which data points to prioritize. Start by identifying the challenge you’re addressing. By defining your problem, you can better decide which data is most relevant. For instance, if you’re optimizing the timing of incentives, analyze when customers shop most frequently and customize offers based on individual behavior patterns. How Experian’s Activity Feed can help Experian Activity Feed connects online and offline data to promote precise targeting and measurement across mobile, web, connected TV (CTV), and more. We provide addressable insights that work across all channels by integrating real-time device IDs, cookies, and IP addresses. Our case study with Cuebiq, found here, discusses how we used Activity Feed to deliver in-store lift analyses to Cuebiq’s clients. Because our impressive breadth of addressable data works across channels, we’re perfectly positioned to be your comprehensive identity solution, as we’re capable of addressing the entire U.S. population. With access to over 250 behavioral and demographic attributes per individual, our data fills in audience gaps to help you create a complete customer profile. 2. Understanding customer behavior The complexity of modern consumer behavior is growing, and one of the biggest retail marketing challenges is merging all this information into a single unified customer view. With consumers moving seamlessly between devices like tablets, mobile phones, and laptops, retailers face the grueling task of keeping up with their fragmented journey. For instance, a customer may spot a pair of shoes in-store, add them to their cart via mobile due to long cashier lines, and finish the purchase later from their laptop. However, if they cannot be recognized across these touchpoints, they may abandon the purchase out of frustration. Retailers need solutions that link offline customer relationship management (CRM) and purchase data with a customer's online activity, regardless of channel or device. This is where Experian identity resolution and Graph come into play. How Experian’s Graph and identity resolution can help Experian’s identity solutions help brands resolve disparate data by merging fragmented identifiers into a singular customer profile for a 360-degree view. We ensure each touchpoint is connected, whether the interaction happens online or offline, across mobile apps, or in-store. This enables retailers to recognize the same customer across various devices and enhances the customer experience by keeping items in their cart and personalizing their journey across platforms. With Experian’s identity graph, brands can further enrich these customer profiles with digital identifiers that span hashed emails (HEMs), cookies, mobile device IDs (MAIDs), IP addresses, universal IDs, and CTV IDs to create a more accurate, actionable view of consumer behavior. We rebuild the graph weekly, which ensures persistent and refreshed connections between households, individuals, and their devices. This ongoing linkage allows for precise targeting and measurement over time and aligns with privacy standards and compliance obligations. By organizing identity into households and device IDs and enriching them with marketing data, brands can gain deeper customer insights, addressability across devices, and the ability to measure the impact of their retail marketing strategies. 3. Building trust between consumers and your brand Trust is the foundation of online relationships, and consumers who trust your brand are likelier to share their data. To establish this trust, retailers must collect customer data transparently and respectfully. According to Experian data, 80% of consumers believe more transparency around the use of their information fosters greater trust in a business. Additionally, the same data revealed that 56% of companies plan to invest more in transparency initiatives, such as consumer education, clearer terms of communication, and consumer control over personal data. Experian’s commitment to data accuracy and transparency further strengthens this trust. Our data is ranked #1 in accuracy by Truthset, which means you can power smarter insights, targeting, and measurement using the highest-rated, most reliable data to build customer profiles. 4. Establishing customer loyalty with retail marketing Today’s consumer has many opportunities and choices available at their fingertips, which makes it harder for retailers to build and maintain customer loyalty. Signal loss and the rise of omnichannel media consumption have made it even more of a challenge to keep loyal customers. By using data and insights to interact with people more meaningfully, you can overcome these difficulties to provide a more personalized, relevant experience and establish loyalty. Experian’s new Digital Graph and Marketing Attributes solution makes it easier to do just that. Experian’s Digital Graph and Marketing Attributes solution Using our Digital Graph and Marketing Attributes, you can gain comprehensive insights into consumer behavior by combining offline and digital data through our Living Unit ID (LUID). Our Digital Graph provides robust digital identifiers like MAIDs, CTV IDs, HEMs, and universal IDs, while our Marketing Attributes offer detailed consumer insights spanning age, gender, purchase behaviors, and content consumption habits. With this data, you can create relevant messaging and informed audience segmentation to enhance your personalization and targeting efforts across all digital channels. Using our solution can help you deliver what customers need when they need it — like winter gear before a ski trip or swimwear before a beach vacation. These personalized experiences drive additional revenue and build lasting relationships that keep customers coming back, establishing a strong foundation of loyalty in an increasingly competitive market. 5. Finding your technology solution Retailers need to integrate technology to make their data actionable and use it to streamline the customer experience. They need to integrate data storage platforms with fulfillment and reporting solutions, such as email service providers, display networks, and marketing intelligence tools. Whether retailers are exploring the industry or gearing up to make a substantial investment in the right technology partner, it’s vital to ensure you evaluate potential partners equally and consistently. Experian works with major platforms, marketers, and agencies, meaning we have existing partnerships across the ecosystem for you to connect with that can bring your consumer data to life and meet your needs. Our offline and digital graphs are baked into partner integrations so customers can achieve higher match rates that improve addressability. Strategies to help you overcome retail marketing challenges When it comes to modern retail marketing, you’ll need to take a strategic approach to handle emerging challenges. Here are five retail trends of 2024 to consider integrating into your retail marketing strategy: Use predictive analytics: Data can be overwhelming, but you can analyze historical purchase patterns to capture and prioritize the most relevant data for your retail marketing efforts. Optimize omnichannel campaigns: Cross-channel data integration can help you ensure consistent messaging, provide a seamless experience, capture a unified view of customer interactions, and improve engagement. Personalize experiences with AI: Utilize AI data capture across touchpoints to create personalized recommendations and tailored experiences that resonate with individual customer preferences and behaviors. Adopt dynamic pricing: Use real-time data to adjust prices based on customer behavior and market conditions so your pricing strategies align with current demand and maximize revenue. Invest in customer experience tech: Virtual fitting rooms, augmented reality, and other advanced technologies allow customers to engage with your brand across platforms, which can improve their shopping experience. Utilize Experian’s retail media network (RMN) solution Experian’s solution for RMNs is another tool for overcoming retail marketing challenges. We empower RMNs to better understand their customers with unified views of online and offline behavior across channels and extend their reach across environments. Using our top-ranked identity and audience services, we can help RMNs access expanded customer insights, enhance cross-channel audience targeting, and improve real-time measurement and attribution to enable precise, streamlined, personalized omnichannel campaigns. Our solution’s integration with major platforms improves data match rates and addressability so retailers can overcome data fragmentation and optimize their retail marketing strategies. Experian can help advance your retail marketing strategies Experian can help retailers effectively use data and insights to interact with customers and prospects meaningfully. Our data and identity solutions help you deliver relevant, impactful messaging to ensure the customer who puts shoes in the cart at the store is the same customer who wants to finalize their transaction later that evening online. As the holiday season approaches, it’s time to refine your retail marketing strategies and connect authentically with shoppers. With over a billion consumers preparing to shop, Experian offers 19 new syndicated audiences available for activation across major ad platforms, including TV and programmatic, to help you reach the most relevant prospects. Whether you’re targeting discount seekers, last-minute gift-buyers, or frequent travelers, our audiences align with diverse shopping styles and preferences. Choosing the right audience segments aligns your holiday marketing efforts with consumer expectations and maximizes impact. With our tools, you can seamlessly connect with the same customer across various channels, whether they’re shopping in-store or online. Embrace the holiday season confidently, and let Experian help your retail marketing strategy shine. Get started with us today Latest posts