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Mind the gap: How financial marketers can reach every consumer with Experian Audiences

Published: January 7, 2026 by Experian Marketing Services

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.


Experian Audiences help financial marketers serve consumers with very different financial habits, digital behaviors, and spending patterns. Backed by our deep insight into income, debt, and credit, digital behavior, and household dynamics, our approximately 400 financial audiences and 3,500+ syndicated segments give financial marketers the ability to engage consumers with relevance across every life stage, channel, and financial mindset.

To help financial marketers build effective, more adaptable programs, in this article, we’ll explore two approaches:

  • Generational: How financial behaviors differ across life stages
  • Seasonal: How consumer financial motivation spikes at key times of year

Together, these approaches help financial marketers reach the right consumers with the right message at the right moment.

Generational approach

Financial marketers face a new kind of challenge: some consumers still visit branches, while others manage nearly every financial task from their phones. That gap reflects more than a channel preference; it signals distinct financial needs, confidence levels, and expectations for how money should work across generations.

How do financial behaviors differ across generations?

Generational digital behaviors

The data below highlights key differences in how younger consumers engage with digital financial tools compared with Boomers.

Behavior/metricGen Z and MillennialsBoomers
Use peer-to-peer transfer apps (Venmo, PayPal)~50%~20%
Use a mobile wallet daily79% (Gen Z), 67% (Millennial)Nearly 70% have never used one

Younger generations are driving a mobile-first approach to money management, while Boomers are far less likely to manage their finances this way. They prioritize tools that help them build credit, reduce debt, manage rising costs, and automate everyday tasks. This behavior is reshaping how financial institutions think about acquisition, product relevance, and loyalty.

Generational workforce and retirement dynamics

As Boomers retire, their focus shifts to protecting accumulated wealth, steady income, and simplified service experiences. These changes are reshaping household finances and long-term planning behaviors across the country.

The table below outlines how shifting workforce composition and retirement milestones differ across generations.

Behavior/metricGen Z and MillennialsBoomers
Share of the U.S. workforceGrowing toward 74% of the global workforce by 2030 (younger generations collectively)~15% of the U.S. workforce and shrinking
Retirement outlookExpected age to retire 67-69~75 million people will have retired by 2030

Marketers need to do more than track trends; they need to act on them with confidence. That’s where Experian Audiences come in.

Turn generational insights into action with Experian Audiences

Experian Audiences turn complex generational data into actionable marketing segments, helping financial brands reach the right people with the right message across every life stage. We offer approximately 400 financial audiences, each reflecting distinct financial priorities, from debt management to wealth preservation. These audiences are built using privacy-safe data and grounded in our deep understanding of income, debt, and digital behavior.

Experian’s financial audiences blend credit, behavioral, and demographic signals to help you connect with consumers based on:

  • Debt profile, including type and overall burden
  • Income tier and earning stage
  • Financial confidence and digital engagement habits

How can marketers activate generational insights with Experian Audiences?

Each generation has unique financial journeys, needs, and motivations that marketers can address with Experian Audiences designed to reach:

  • Generation Z (Gen Z)
  • Millennials
  • Generation X (Gen X)
  • Baby boomers (Boomers)

In addition to these four generational segments, Experian Audiences also includes segments that apply broadly across life stages. These audiences reflect core financial attributes, such as income, capacity, and lifestyle, that are consistently relevant and can be layered onto any generational strategy.

  • Ability to pay
  • Generational income bands
  • Income
  • Mosaic® USA

While Fair Lending regulations prohibit age-based targeting, these groups are not built on age itself. Instead, they’re derived from observable financial behaviors and signals that often align with different life stages; allowing marketers to engage consumers in a compliant, behavior-driven way. We also offer FLA-friendly¹ audience segments when required, alongside expanded options for non-lending campaigns, supporting initiatives such as brand and product awareness, deposit growth, credit union membership, and other programs that don’t rely on credit-based targeting.

You can find the full taxonomy paths in the appendix.

‘Generation Z’ with two coin icons

This generation is young, digitally savvy, and highly engaged. Gen Z is beginning their financial journey with a focus on independence and debt management. Their preference for mobile-first tools and peer-to-peer payments reflects an expectation for simple, accessible financial experiences. Campaigns centered on credit-building tools, savings apps, and financial literacy resources are especially relevant for this group.

Behavior/metricGen Z
Use peer-to-peer transfer apps80%+
Use mobile wallets daily79%

Here are seven recommended audiences to target Gen Z:

  1. Credit Card Financial Personality
  2. Discretionary Spend: Dining Out
  3. Discretionary Spend: Education
  4. Discretionary Spend: Entertainment
  5. In Market Buy Now Pay Later
  6. In Market for Auto Loan or Lease
  7. 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’ with upward arrow icons

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/metricMillennial
Prefer digital or contactless payments~85%

Here are ten audiences to target Millennials:

  1. Deposits Financial Personality
  2. Discretionary Spend Education
  3. Discretionary Spend Home Furnishings
  4. In Market Buy Now Pay Later
  5. In Market Real Estate
  6. Investable Assets
  7. Likely to Move
  8. Mortgage Financial Personality
  9. New Parents
  10. 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.

'Generation X’ with a stack of money icon

Gen X leads in household income and prioritizes investments, education, and long-term financial stability. They respond well to data-driven offers for refinancing, college planning, and wealth management, especially across digital video, streaming, and email channels.

Behavior/metricGen ZMillennialsGen XBoomers
Median income$71,200~$104,000~$126,000~$54,000

Here are ten audiences to target Gen X:

  1. Discretionary Spend
  2. Discretionary Spend Donations
  3. Discretionary Spend Entertainment
  4. Discretionary Spend Travel
  5. Equity Loan Age
  6. Insurance Financial Personality
  7. Investment Financial Personality
  8. Investable Assets
  9. Mortgage Loan Age
  10. 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.

‘Baby boomers’ with a shield icon

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/metricBoomer
Median net worth$410,000
TV consumption98% watch TV; 77% watch more than 2 hours per day
Newspaper readership50%+ still read print or a mix of print and digital

Here are eight audiences to target Boomers:

  1. Charitable Causes
  2. Discretionary Spend
  3. Discretionary Spend Donations
  4. Discretionary Spend Travel
  5. Equity Loan Age
  6. Home Equity Financial Personality
  7. Mortgage Loan Paid Off or “Has Existing”
  8. 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

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FAQs

What are Experian Audiences?

Experian Audiences are pre-built, privacy-compliant consumer segments that help marketers target based on verified demographic, financial, and behavioral data.

They’re designed for flexibility across channels and can be activated on 200+ platforms, including major social, CTV, and programmatic partners.

Experian ranks #1 in demographic accuracy according to Truthset, and marketers can choose from 3,500+ syndicated audiences that capture signals such as income, spending behavior, household structure, financial attitudes, and ability to pay. These same audiences are also available through partnerships on platforms like DirecTV, Dish, Magnite, OpenAP, and The Trade Desk.

For a deeper look at our audience catalog, explore our syndicated audience guide

How can financial marketers use Experian Audiences effectively?

Financial marketers can use Experian Audiences by aligning audience selection with generational priorities, such as digital banking for Gen Z or retirement planning for Boomers, to improve engagement and ROI.

Are Experian Audiences compliant with financial marketing regulations?


Experian Audiences are designed to meet a variety of needs while respecting different levels of privacy standards. For example, we offer FLA-compliant segments where required, as well as broader audiences for objectives such as brand awareness, promotion, credit union membership growth, and more.

Experian’s approach to data is guided by our Global Data Principles, which reflect how we protect and manage information:

Data security: safeguarding data against unauthorized access, use, or 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

Where can you activate Experian Audiences?

You can activate Experian Audiences are available across 200+ digital and connected TV platforms, including Meta, Pinterest, The Trade Desk, and Audigent PMPs.

Can I combine Experian data with my own?

Yes, you can combine Experian data with your own. You can combine your own first-party data with Experian’s 3,500+ syndicated audiences and additional segments from multiple Partner data providers, as a custom audience within a Curated Deal or self-service via Audience Engine.


Footnote

  1. “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

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An interview with Kontext’s Georgia Campbell, Head of Strategic Partnerships

In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. &nbsp; What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies?  Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts.&nbsp;Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively.&nbsp;&nbsp;Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions.&nbsp;Some examples of audience types include these (and hundreds more):&nbsp; In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior.&nbsp; Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months.&nbsp; Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors.&nbsp; Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc&nbsp; Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value)&nbsp; Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail)&nbsp; By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health &amp; wellness, auto, business, energy &amp; utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle &amp; interests, mobile location, and TV viewing habits.&nbsp; How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases.&nbsp;This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles.&nbsp;&nbsp;Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior.&nbsp;Our data stands out due to its:&nbsp;&nbsp; Deterministic Nature: We capture 1st-party data as transactions occur (all in real time)&nbsp; Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior.&nbsp; Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions.&nbsp; How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data.&nbsp; What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health &amp; wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health &amp; wellness, and values-based online shopping habits, as well as the food &amp; beverage space.&nbsp;&nbsp; Retail &amp; Consumer Goods: Leveraging shopping behavior data for targeted campaigns.&nbsp; Health &amp; Wellness: Identifying consumers with specific health and wellness interests.&nbsp; Automotive: Targeting potential buyers of electric vehicles or eco-friendly products.&nbsp; Financial Services: Engaging high-value shoppers with premium credit card usage.&nbsp; And many more&nbsp; How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? &nbsp;As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers:&nbsp; Direct Consumer Insights: Accurate and consented data directly from consumer interactions.&nbsp; Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage.&nbsp; Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices.&nbsp; What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through:&nbsp; Consented Data Collection: All data is collected with explicit consumer consent.&nbsp; Robust Security Protocols: Data is encrypted and secured with industry-leading practices.&nbsp; Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA.&nbsp; User Control: Consumers have the ability to opt-out and manage their data preferences.&nbsp; Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases:&nbsp; Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS.&nbsp; Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign.&nbsp; Thanks for the interview. Any recommendations for our readers if they want to learn more?&nbsp; For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&amp;A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts

Aug 02,2024 by Experian Marketing Services

Experian unveils comprehensive solution for retail media networks

Experian is excited to announce a solution tailored for retail media networks (RMNs). This offering enhances RMNs' strength in first-party shopper data by using Experian’s #1 ranked identity and audience services. Experian’s solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue. Helping RMNs maximize revenue with audience and identity solutions As traditional brands continue to harness their rich first-party data, retail media has exploded as a new category for marketers to reach high-value audiences. Understanding the challenges RMNs face – such as expanded audience insights, cross-platform reach, and programmatic addressability – Experian’s solution transforms these challenges into lucrative opportunities. By partnering with Experian, RMNs will learn more about their customers, reach their customers beyond their owned and operated platforms, and show return on ad spend (ROAS) as customers move from ad exposure through to purchase. Solutions to drive growth As retail media continues to evolve with new players entering the space and existing players strengthening their positions, success depends on having a comprehensive understanding of your customers and effectively monetizing that knowledge. Experian’s solution – from identity and audience foundations to scaling inventory – offers several benefits to help RMNs grow their revenue: Identity resolution: While every RMN has a unique set of authenticated first-party data captured offline (e.g. personally identifiable information) or online, it only provides the RMN with a handshake tied to a subset of that customer or household’s addressable identity footprint. By partnering with Experian, RMNs will better understand their customers across the offline and digital worlds by utilizing the Experian Graph and our connection to 126 million households, 250 million individuals, and 3.8 billion digital IDs. Expanded insights: In addition to ensuring your data is clean and accurate, we can build detailed customer profile reports that help RMNs understand their customers beyond category buyers or purchase history. With actionable insights at your fingertips to enrich your customer profile, you can help advertisers precisely reach both your high-value customers and build accurate look-a-like audiences across both offline and digital channels. Create audiences: Enrich your first-party data with Experian Marketing Data – or our expanded network of Partner Audiences – to build custom segments for your advertisers to target. With over 5,000 marketing attributes, RMNs can offer advertisers the ability to go beyond category buyers and fill in any gaps on your customers, such as demographics, media preferences, and behavioral attributes. Maximize reach and distribution: Experian’s recent Third-Party Onboarding release empowers RMNs to easily move their audiences from their owned and operated platforms and into programmatic, TV, and social channels. This helps unlock the monetization of their audiences through Experian’s network of over 20 platforms, including The Trade Desk, Magnite, and others. With our self-service platform, native integrations, simple pricing, and best-in-class customer service, it is an “easy button” to extend the reach of your audiences and drive more revenue. Demonstrate success: Prove your network’s value with third-party measurement validation that you can promote to advertisers to drive increased spending. Experian’s Activity Feed solution helps you measure performance – and understand how ads impact shopping behavior – by providing you with data to connect ad exposures in one environment (e.g., web or connected TV) to an action in another (e.g., digital or in-store purchase). Case study: How Experian enhanced addressability for a leading RMN One of the leading retail media networks has been working with Experian since 2021 to help understand their customers, organize and expand their rich first-party shopper data, and activate across the digital ecosystem. Ahead of recent changes in digital addressability and privacy, Experian helped this RMN not be overly reliant on third-party cookies and anchored its first-party shopper data to more stable digital IDs like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and Unified I.D. 2.0 (UID2). The results show that the addressability of their first-party shopper data increased by almost 300% across their owned and operated platforms and programmatic activation channels. The byproduct of expanded addressability is the persistence in reach and measurement of their audiences throughout the entire consumer journey. “Accurate data is the backbone of effective retail media strategies, and Experian’s top-tier data solutions are critical for precise targeting and audience delivery. Experian’s advanced capabilities in data onboarding, customer audiences, and robust identity graphs allow advertisers to seamlessly reach the right audiences.”Art Sebastian, CEO, NexChapter Inc. The Experian edge Experian powers data-driven advertising through connectivity. Here’s what sets us apart and ensures that your RMN is set up to win in this highly competitive and complex space: Persistent identity: We can help you find and reach your customers across the digital and offline world. Our deep understanding of people in the offline and digital worlds provides you with a persistent linkage of PII data and digital identifiers, ensuring you rich insights, accurate targeting across devices, improved addressability and measurable advertising. High-quality data: Better understand your customer's behavioral and demographic attributes with our #1 ranked data covering 126 million households, 250 million individuals, and 3.8 billion digital IDs. We will make sure your data is clean, accurate, and can be used how you want. Superior connectivity: We bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing our integrations across the ecosystem, and using our marketing data flexibly. Compared to the competition, Experian’s Third-Party Onboarding capabilities offer data providers a 50% increase in programmatic addressability and a 73% increase in CTV addressability. Partner with Experian to achieve retail media success Experian's comprehensive data and identity solutions can help RMNs maximize their opportunity. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance. Connect with a member of our team to learn how we can support your journey toward RMN success. Connect with us Latest posts

Jul 29,2024 by Anne Passon, Sr. Sales Director, Retail

The impact of real-time marketing data for personalized ads

Have you wondered how the shift toward real-time data is reshaping the way companies connect with consumers? Traditional methods of third-party data collection and demographic targeting are being replaced by more privacy-conscious approaches. In our next Ask the Expert segment, we explore how Experian and Captify’s partnership is harnessing the power of real-time onsite search data to enhance personalized advertising, address identity fragmentation, and provide valuable insights for navigating modern advertising challenges. We’re joined by industry leaders, Amelia Waddington, Chief Product Officer at Captify, and Chris Feo, Experian’s SVP of Sales &amp; Partnerships. In this segment, they discuss the complexities of identity and the innovative use of real-time data in digital advertising. Watch the full Q&amp;A below to learn more about these topics and discover how the collaborative efforts of Experian and Captify are shaping the future of personalized advertising. Understanding the power of real-time marketing data Real-time data provides an up-to-the-minute view of consumer behavior, enabling marketers to make quick, informed decisions. Captify’s use of real-time search data allows for immediate insights, contrasting with traditional third-party data, which often involves delay and prompted answers. This approach allows marketers to see trends and reactions as they unfold, making it possible to tweak campaigns and strategies and always reach the most in-market consumers. By using Captify’s real-time data, we can predict consumer interests and adapt to market changes quickly. Staying ahead of market trends with predictive analytics Captify analyzes more than a billion search signals daily, giving brands a detailed look at changes in audience behavior. These real-time insights help businesses make timely adjustments and reach their audiences in the moments that matter. Beyond digital media, Captify's multi-channel activation strategy extends to platforms such as connected TV and digital out-of-home, ensuring messages remain relevant and effective. How Experian and Captify work together Imagine being able to tailor your ads to consumers' needs and interests in real time. Our partnership with Captify enhances ad targeting and measurement by combining Experian’s vast Digital Graph with Captify’s real-time intent data. "Captify has evolved beyond relying on third-party cookies in isolation and now uses the Experian Graph to provide a more holistic view of identity at both the individual and household levels" says Amelia Waddington, Chief Product Officer at Captify. As privacy concerns grow, we have built and continue to invest in a signal-agnostic Digital Graph that can make connections across a wide range of identifiers, including the Experian Living Unit ID (LUID). The LUID is a unique identifier representing each household in the United States, based on real households and real people. This allows essential demographic information to be enriched to a household, enriching first-party data with detailed consumer insights, like age, gender, historical purchase behavior, and future purchase intent. By continuously adding new data and building fresh audiences and segments, we provide greater insights into the consumer base. Our Digital Graph serves as Captify’s identity spine, allowing them to connect identifiers together at both the person and household levels. This helps their clients target ads more accurately across different channels, making it easier to track and understand consumer behavior across platforms like TV, digital, and radio. Here are five key ways our partnership enhances ad targeting and measurement: Enhancing personalized advertising with real-time insights Identity fragmentation is a challenge for marketers because consumer data is scattered across different devices and platforms, making it difficult to effectively understand and target consumers. Experian and Captify’s partnership provides the fuel to help advertisers by integrating real-time search data with identity graphs, allowing for accurate targeting across various channels. By combining Experian’s robust Digital Graph with Captify’s real-time intent data, advertisers can deliver highly personalized ads on connected TV that retain their relevance and impact, no matter where the consumer engages with the content. "We ingest the Experian Graph as part of our internal Graph, allowing us to connect identifiers together at both person and household levels, which aligns with our expansion into TV, out-of-home, and audio channels."Amelia Waddington, Chief Product Officer, Captify Addressing identity fragmentation A fragmented identity occurs when consumer data is scattered across different devices and platforms, making it difficult to effectively understand and target consumers. Advertisers need holistic media plans instead of fragmented strategies that risk disengaging consumers, while publishers must demonstrate their platforms’ value by targeting seamlessly. By enriching and distributing thousands of demographic and behavioral segments, Experian provides the essential data needed to effectively target diverse audiences. Experian’s Digital Graph complements Captify’s data by connecting various identifiers, providing a complete view of individuals and households. This approach helps advertisers overcome fragmentation challenges, and ensure their messages reach the right audience across multiple touchpoints. Optimizing creative content dynamically Using real-time data, advertisers can adjust creative elements of their ads to better match consumer interests. This means changing parts of an ad, like images or text, based on current audience data, making it more relevant to the consumer. By partnering with Experian, Captify continues to see a rounded view of a consumer, allowing them to provide clients around the globe with data-driven creatives. These creatives achieve better results than standard ones and enable more meaningful connections with consumers. Integrating search data into connected TV Real-time search data plays a crucial role in enhancing the effectiveness of connected TV (CTV) advertising. Captify’s identity solution uses persistent identifiers from the Experian Digital Graph to extract value from onsite search data. Machine learning technology then categorizes these searches to understand consumer intent and create highly relevant audiences. By integrating Captify’s consumer intent data, advertisers can deliver more targeted and relevant ads on CTV platforms. This integration helps marketers reach viewers with content that resonates. Ensuring multi-channel message consistency Consistency in messaging across multiple channels is key for maintaining brand integrity and consumer trust. By using Experian's identity data, Captify ensures that advertisers can deliver cohesive messages across various platforms, including TV, digital, and radio. This integration not only enhances ad targeting precision but also solidifies the brand’s presence, ensuring that every touchpoint reinforces the same core message for a unified brand experience. Watch the full Q&amp;A Visit our Ask the Expert content hub to watch Amelia and Chris’ full conversation. In their discussion, they cover identity beyond identifiers, personalized advertising strategies, and the evolving consumer journey. Amelia and Chris also share about interoperability challenges in CTV and how Captify is using alternative IDs like Unified I.D. 2.0 (UID2). Watch now Contact us About our experts Amelia Waddington, Chief Product Officer, Captify Amelia is Chief Product Officer at Captify, leading the Product, Engineering, Partnerships and Insight teams globally. During her three years at Captify, Amelia has delivered on her product vision to put Captify’s Search Intelligence in the hands of all advertisers—unlocking competitive advantage for clients and partners in a way that’s omnichannel, strategic, open and future-proof. She has launched Captify's Advanced TV, cookieless and data partnerships product lines. Amelia brings over a decade of experience in driving product strategy, underpinned by expertise across data science, machine learning, and analytics. She has a PhD in computational neuroscience and previous roles include product leadership at LiveRamp and Aimia. Chris Feo, SVP, Sales &amp; Partnerships, Experian&nbsp; As SVP of Sales &amp; Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats! Latest posts

Jul 17,2024 by Experian Marketing Services

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At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

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