
Marketing success can sometimes come in the most unlikely of combinations — reminiscent of a great chef crafting a delicious dish from ingredients rarely used together. In advertising, this type of outside-the-box thinking can give you a competitive advantage over peers who are operating within the normal limits. In this blog post, we will explore how both financial and non-financial advertisers can use consumer financial marketing data in their ad campaigns to connect with the right consumers. This type of strategic thinking will make campaigns more effective, resonate more deeply with audiences, and turn your chicken into coq au vin.
Background on Financial Audiences
FMCG Direct, a Deluxe company, in partnership with Experian, has developed financial audiences that deeply understand consumer financial behavior. These audiences are not just static lists of potential customers but are constantly updated to provide a multi-dimensional view of consumer financial habits, including investing, borrowing, credit card preferences, and more. Central to this effort are Consumer Financial Insights®, Financial Personalities® and ConsumerSpend® models. These tools are built utilizing a combination of FMCG Direct, a Deluxe company in-depth consumer research, sophisticated clustering techniques, and Experian’s extensive consumer marketing data.
FMCG Direct, a Deluxe company financial audience segments
The Financial Personalities® segments categorize consumers based on their financial behaviors and preferences, dividing them into distinct categories such as insurance, credit card usage, and investment habits. This allows for a targeted approach considering each consumer’s unique financial behavior and potential needs.
Meanwhile, Consumer Financial Insights® segments offer a detailed and tiered view of a consumer’s economic status, including insights into household deposits, investable assets, net assets, and the likelihood of mortgage refinancing, all categorized into specific tiers to reflect varying levels of wealth and investment.
Lastly, ConsumerSpend® segments provide a look at how and where a household allocates their disposable income. Broken up by nine unique categories, marketers can better understand where people are spending their money each year.
These predictive segments are built through extensive research, surveying over 25,000 consumer households across the United States. Each household’s financial profile encompasses a wide array of data points, such as total household assets, deposit balances, and investable assets.
The result? A granular understanding of consumer financial behaviors, which marketers can use to tailor their financial services offerings. However, the potential applications of these insights extend far beyond the confines of financial products and services.
Here are some ideas to help you get started.
Advertising campaigns for travel and leisure
Launch campaigns that precisely cater to different consumer segments’ unique financial personalities and spending behaviors.

- Credit Card Financial Personality: Launch digital ads for luxury travel experiences tailored to consumers known for extensive credit card usage in travel, capitalizing on their affinity for high-end leisure activities.
- Deposits (Bank) Financial Personality: Implement advertising campaigns for budget-friendly travel options tailored to consumers with modest bank deposits and prudent spending habits. These ads could highlight affordable vacation packages, discount travel deals, and value travel bundles, catering to those prioritizing cost efficiency and practical travel solutions.
Ideas focusing on home improvement and decor
Craft advertising campaigns aimed at audiences with modest net worth, using insights into their financial profiles to promote accessible and essential products and services.

- Net Asset Score (Lower Tiers): Develop ad campaigns for cost-effective home improvement services and budget-friendly home appliance options, targeting consumers whose net asset scores indicate more modest financial resources. These ads should highlight the products’ durability and energy efficiency, appealing to the consumers’ need for long-term savings.
- Discretionary Spend – Home Furnishing: Design ad campaigns for upscale home furnishing collections, targeting audiences with significant discretionary spending power. These ads should spotlight your home furnishings’ premium quality, sophisticated design, and superior craftsmanship, appealing to consumers’ tastes for luxury and exclusivity.
Campaigns for consumers in entertainment
Execute targeted advertising campaigns designed for consumers with high disposable income, utilizing insights from their net asset and investable asset scores.

- Net Asset Score (Higher Tiers): Launch advertising campaigns for premium entertainment experiences, including exclusive concert seats, backstage passes, and custom festival packages. Target consumers whose net asset scores suggest significant disposable income to ensure your promotions reach the most likely attendees.
- Discretionary Spend — Entertainment: Design advertising campaigns for high-profile music and entertainment events, focusing on individuals known for their significant expenditures on entertainment. Create promotions that resonate with their lifestyle, emphasizing the connection between a vibrant social life and exclusive entertainment opportunities.
As you can see by understanding and utilizing the nuances of financial data, advertisers can create highly targeted, relevant, and effective campaigns across various sectors. This approach exemplifies the innovative spirit of audience usage, proving that with a bit of creativity, data applications are as limitless as our imagination.
Financial Personalities and Consumer Financial Insight audiences and their in-platform names
Find these syndicated audiences in your demand and supply-side platform of choice.
- Insurance financial personality – Audiences to help understand a consumer’s behavior and confidence in their ability to find the right life insurance.
- Financial Personalities > Insurance Financial Personality
- Financial Personalities > Insurance Financial Personality
- Credit card personality– Used to identify consumers based on their credit card usage and behaviors.
- Financial Personalities > Credit Card Financial Personality
- Financial Personalities > Credit Card Financial Personality
- Deposits financial personality– These audiences include consumers who are likely to look for bank offers based on their spending behaviors.
- Financial Personalities > Deposits Financial Personality
- Financial Personalities > Deposits Financial Personality
- Investments financial personality– Audiences to help understand a consumer’s comfort and behaviors with making financial investments.
- Financial Personalities > Investments Financial Personality
- Financial Personalities > Investments Financial Personality
- Home equity financial personality– Audiences to help understand a consumer’s home equity circumstances and behaviors.
- Financial Personalities > Home Equity Financial Personality
- Financial Personalities > Home Equity Financial Personality
- Mortgage financial personality– Audiences to help understand a consumer’s behavior and preferences with mortgages.
- Financial Personalities > Mortgage Financial Personality
- Financial Personalities > Mortgage Financial Personality
- Investable assets (FLA/Fair Lending Friendly)*– Audiences that include consumers who have available investable assets in seven total tiers with Tier 1 being the highest, and Tier 7 being the lowest.
- Consumer Financial Insights > Investable Assets
- Consumer Financial Insights > Investable Assets
- Net asset score (FLA/Fair Lending Friendly)– Predict a consumers likely net asset score ranging from less than $25,000 to over $5,000,000.
- Consumer Financial Insights > Net Assets Score (Net Worth)
- Consumer Financial Insights > Net Assets Score (Net Worth)
- Discretionary spend– Predicts the annual discretionary spend for the category listed in the audience.
- Consumer Financial Insights > Discretionary Spend – Travel
- Consumer Financial Insights > Discretionary Spend – Jewelry
- Consumer Financial Insights > Discretionary Spend – Home Furnishings
- Consumer Financial Insights > Discretionary Spend – Entertainment
- Consumer Financial Insights > Discretionary Spend – Electronics
- Consumer Financial Insights > Discretionary Spend – Education
- Consumer Financial Insights > Discretionary Spend – Donations
- Consumer Financial Insights > Discretionary Spend – Dining Out
- Consumer Financial Insights > Discretionary Spend – Total
- Consumer Financial Insights > Discretionary Spend – Clothing/Apparel
- Household deposits/balances (FLA/Fair Lending Friendly)– Audiences that include households that have bank deposits balance in six total tiers with Tier 1 being the highest, and Tier 6 being the lowest.
- Consumer Financial Insights > Household Deposits/Balances
- Consumer Financial Insights > Household Deposits/Balances
- Investment Balances (FLA/ Fair Lending Friendly)– Audiences that include consumers who have an investment balance in six total tiers with Tier 1 being the highest, and Tier 6 being the lowest.
- Consumer Financial Insights > Investment Balances
- Consumer Financial Insights > Investment Balances
- Mortgage refinance (FLA/Fair Lending Friendly)– Predicts the likelihood the consumer is to refinance their mortgage.
- Consumer Financial Insights > Mortgage Refinance
- Consumer Financial Insights > Mortgage Refinance
Contact us
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.
Latest posts

Advertisers continue to increase their spending across addressable TV, connected TV (CTV), and digital. According to IAB's "2021 Video Ad Spend and 2022 Outlook" report, digital video ad spending is expected to increase by 26% to $49.2 billion in 2022. Understanding who consumers are and how to best reach them in their preferred channel is becoming more complex. Damian Amitin and Colleen Dawe discuss how a seamless identity strategy can address the complexity of the emerging TV space. The evolution of identity resolution Around ten years ago, the idea of digital “identity resolution” or “Device Graphs” was born. This idea connected cookies and MAIDs to understand when many IDs were the same person or household. In more recent years, our industry began to connect that initial understanding to the CTV ecosystem. But, a large part of the TV ecosystem existed in silos, like first and third-party audience data, and the growing advanced TV market. The goal of identity resolution has always been to understand the consumer better. To achieve more accurate targeting and measurement in the CTV ecosystem, we must incorporate the following: What we know about the household and consumer from an ID perspective Who the consumer is as it relates to audience data, as well as the wealth of first-party data in the advanced TV space We know the cookie is a flawed way to collect data. While Google delayed the deprecation of third-party cookies, there are other challenges that we face right now. Such as the glaring gap in Safari traffic and the Identifier for Advertisers (IDFA) turning to “opt-in." Understanding consumer behavior across devices and platforms continues to challenge marketers and publishers. These challenges are creating the need to find more stable identifiers. Though the cookie remains valuable, it has an uncertain future. This has led advertisers to place bigger bets on the combination of addressable and CTV. The overlap in addressable and CTV data leads to fragmentation Personally identifiable information (PII) makes up the majority of addressable TV households' data. Part of the attraction to CTV is that their IDs remain universal, persistent, and stable. Analysts project that CTV ad spending will hit $23B in 2023. Consumers now have an average of 4.7 streaming subscriptions per household. It’s no surprise then, that Disney+, HBO, and Netflix released or announced ad-supported tiers. Addressable TV and CTV are often thought of as distinct markets across the industry. But, in the context of identity, we should look at them through the same lens. Millions of households still consume TV and video content via a set-top box or through apps on CTVs. This is in addition to what they consume on their laptops, tablets, and phones. Of the top 11 cable and satellite providers, 65 million U.S. households still have a box in their homes. On the other hand, approximately 96 million U.S. households have at least one or more Smart TVs and streaming services. With about 126 million total U.S. TV households, that’s a lot of overlap. There are still significant numbers of both addressable and CTV homes. How can we address fragmented TV consumption? Through a holistic and comprehensive approach to identity. An approach that captures addressable TV, CTV, and digital identifiers. An approach that captures all audience attributes inside of a single identity graph. This is the ideal approach for publishers, AdTech vendors, and brands. Discover how to unlock holistic identity How can we achieve a holistic identity? Through a three-pillared approach: First-party data onboarding Digital identifiers Consumer data First-party data onboarding Bringing offline data from a brand’s consumers is very valuable due to the quality of the data. Because the data is being collected right from the source, you know it’s accurate. It provides the foundation you can build your identity strategy from. Digital identifiers Once you create a foundation with first-party data, you need to connect it. Either with an internal or licensed digital ID graph. Then you can understand the connections between all devices within the household. Consumer data After you know which devices tie to a single consumer, you'll want to act on that knowledge. The next step is to partner with a data provider that can help you understand your consumers. Establishing this partnership will help improve targeting, measurement, and the customer experience. To achieve a well-rounded customer view tomorrow, we need to start today The three-pillared approach bridges the gap between the offline and online worlds. This provides a well-rounded view of customers and audiences. However, the ability to tie these aspects of identity together still presents several challenges. To achieve the three-pillared approach today, you need to use many vendors and fragmented data sources. Often with conflicting data. As we look forward, the tools to do this are becoming more advanced and unified. The players in our ecosystem should adopt a seamless identity strategy. One that provides a privacy-safe yet full-picture solution. That means capturing and unifying all devices within a household. While also understanding the consumer behaviors and profiles behind those devices. As TV becomes more sophisticated, our data and services will enable you to unlock a holistic identity. Chris Feo, SVP of Advanced TV and Platforms, spoke with Broadcasting & Cable about how our data powers measurement, audience insights, and results for businesses within the TV space. "As more and more companies enter the general TV space, whether you're a publisher, an advertiser or anyone in between that's doing measurement, insights, analytics, our data or our services will play a role in some part of that value exchange." – Chris Feo, SVP of Advanced TV and Platforms, Experian Marketing Services Keep up with your customers and their data Once we create an informed identity strategy, we can begin to understand the makeup of each household and the individuals within. In this new world, personalizing the experience for an audience is key. Where do they prefer to spend their time? What type of content are they most engaged in? Only then can we as an industry provide an optimal experience for each consumer. All while driving greater ROI for advertisers and publishers. Are you ready to know more about your customers than ever before? Let's get to work together to achieve your marketing goals. Contact us to learn how we can connect the complex dots of identity resolution. About our experts Damian Amitin, VP of Enterprise Partnerships, Experian Marketing Services Damian Amitin is the VP of Enterprise Partnerships and joined Experian during the Tapad acquisition in November 2020. Damian is a senior sales and partnerships executive, specializing in the identity resolution and marketing data ecosystem. Damian helps brands, publishers, and technology vendors enable enhanced ID resolution through The Experian/Tapad platform to attain a 360 view of the customer across targeting analytics, attribution, and personalization. Colleen Dawe, Senior Account Executive, Experian Marketing Services Colleen Dawe is a Senior Account Executive on the Advanced TV Team within Experian Marketing Services. With 15 years of experience working within the television ecosystem, Colleen works with clients to bring the value and expertise of Experian to support their objectives in the areas of data, identity, activation, and measurement. Get in touch

Over the past two decades, we’ve seen healthcare become increasingly interconnected. Healthcare systems can share a patient's clinical information in a variety of ways. A Pharmacy Benefits Manager can share it through an Electronic Health Record. An MRI scanner can also capture and store patient images on a picture archiving and communication system (PACS). Despite this wealth of information, according to the CDC, 20 million U.S. citizens don’t have access to medical care when they need it. A patient’s well-being should represent more than their clinical data. How can we increase access to care for those individuals? We can look towards non-clinical factors, like the social determinants of health, for answers. Coordinate care for at-risk patients What if you could identify patients who are likely to readmit due to factors outside of their medical conditions? We can use demographic, geographic, and socioeconomic data to discover patients that need greater access to care. The social determinants of health (SDOH) can uncover factors that may increase the burden of disease for some populations. What are the social determinants of health? They are the conditions in the environments where people are born, live, learn, work, play, worship, and age. Think of factors like safe housing, transportation, job opportunities, and education. These conditions can affect a wide range of health, functioning, and quality-of-life outcomes and risks. What insights can the social determinants of health reveal? Experian Health’s Social Determinants of Health solution offers holistic insight into the financial, transportation, and technological barriers individuals may experience. These barriers could hinder their access to care, medication, food, and housing. It's important to find a solution like ours that offers prioritized, proactive suggestions for interventions that help remove or reduce such barriers for improved health outcomes. Our rich household data sets can provide key insights into the SDOH. This data can answer key questions such as: Are there existing populations with housing instability issues? How much price sensitivity do consumers have for medication? Are there markets or locations that have food instability issues? Is transportation an issue that makes it hard for patients to access care facilities? Are there geographic influences that drive or prevent diagnosis and care? In the chart below, we break down the SDOH into five categories. We outline key considerations that offer insights to provide patient-specific context for your caregivers. Finally, we present patient engagement strategies that are SDOH factor-specific and based on best practice interventions and program types. Social determinants of health data in action While much of healthcare focuses on clinical outcomes, our Consumer View data can provide a wealth of insight into a variety of non-clinical factors that can influence quality of care. A profile of core demographics such as age, ethnicity, and gender can uncover new opportunities or highlight areas where engagement does not align with medical research. We can discover patients at-risk for not being able to access essential services utilizing key, social determinants of health and geographic profiling. When combined with core demographics like age, gender, and ethnicity, we can compare any patient population against expected SDOH norms to uncover significant gaps in access to care. Our data shows that: 1 in 12 households have no access to a vehicle 1 in 4 households are sensitive to the cost of medication 1 in 5 households have very low technology sophistication 1 in 7 households live below the federal poverty level Once you have this data, what can you do with it? You can develop an inclusive education and communication campaign with our data-driven content and contact engagement solution. This solution empowers you to pair the perfect messaging styles with the right channels to deliver a personalized experience to broaden your reach. For those individuals who have little access to technology, an email campaign may not reach them. We can identify additional engagement channels like the traditional newspaper, radio, direct mail, or even broadcast TV to determine the best medium to expand your market while increasing access to care. By using decision making styles and engagement channels, together we can reduce the burden of care on the medically underserved. Let’s drive inclusive healthcare together Develop a more holistic view of your patient population while increasing healthcare equity. We can help you use the social determinants of health for actionable care management. Contact us to learn how you can fold this data into your healthcare ecosystem. Get in touch

Next up in our Ask the Expert series, we hear from Sarah Ilie and Lauren Portell. Sarah and Lauren talk about the internet’s value exchange – what we gain and lose when it’s so easy to share our information. Is convenience hurting or helping us? The age of connectivity Today, it’s almost unimaginable to think about how your day-to-day life would look without the convenience of the internet, smartphones, apps, and fitness trackers; the list goes on and on. We live in the age of connectivity. We have the convenience to buy products delivered to our homes on the same day. We can consume content across thousands of platforms. We also have watches or apps that track our health with more granularity than ever before. The internet's value exchange In exchange for this convenience and information, we must share various kinds of data for these transactions and activities to take place. Websites and apps give you the option to “opt in” and share your data. They also often let you know that they are collecting your data. This can feel like an uncomfortable proposition and an invasion of privacy to many people. What does it mean to opt-in to a website or app’s tracking cookies? What value do we exchange? What opting in means for you Opting in to cookies means that you are allowing the app or website to track your online activity and collect anonymous data that is aggregated for marketing analytics. The data provides valuable information to understand users better to create better online experiences or offer more useful products and content. Granting access to “tracking” offers several benefits to users such as a customized, more personal user experience or advertising that is more likely to be relevant. For example, let’s imagine you have recently been using an app or website to plan a camping trip. By sharing your data, the website or app has visibility into what is interesting or useful to you which can lead to related content suggestions (best campsites) or relevant advertising and product recommendations (tents and camping equipment). It’s important to know that the marketing data collected when you opt in is extremely valuable. The revenue that advertising generates is often very important to websites and apps because this is how they make money to continue providing content and services to consumers. Data privacy practices Privacy concerns regarding how companies and developers use tracking information have risen over the last couple of years and have resulted in additional protection for consumers’ privacy while still allowing companies to improve their products and advertising. One big step in this direction has been simply making people aware that their data is being collected, why it’s being collected, and providing users with the option to share this data for marketing analytics through opting-in or not. Other important steps to maintain online privacy include formal legal legislation and self-regulation. The right to privacy is protected by more than 600 laws between individual states and federal legislation and the U.S. House Committee on Energy and Commerce recently voted to pass the American Data Privacy and Protection Act. Additionally, marketing organizations such as the Interactive Advertising Bureau and Association of National Advertisers regulate themselves with codes of conduct and standards given there is so much attention on privacy issues. Is the internet's value exchange worth it? The data that we choose to share by opting in has a lot of benefits for us as consumers. There are laws in place to protect our data and privacy. Of course, it’s important to be aware that data is collected and used for marketing purposes, but it’s also reasonable to share a certain amount of data that translates into benefits for you as well. The best data unlocks the best marketing. Contact us to tap into the power of the world’s largest consumer database. Learn how you can use Experian Marketing Services' powerful consumer data to learn more about your customers, drive new business, and deliver intelligent interactions across all channels. Meet the Experts: Lauren Portell, Account Executive, Advanced TV, Experian Marketing Services Sarah Ilie, Strategic Partner Manager, Experian Marketing Services Get in touch