
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
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

by AdExchanger // Friday, March 15th, 2019 – 12:06 am “Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today's column is written by Preethy Vaidyanathan, chief product officer at Tapad, a part of Experian For years marketers asked, “How do we get more data?” Now that they've mastered data mining, marketers want to know what’s next. The time has come for organizations to make their abundance of digital data actionable, increase ROI and reach consumers with consistent, personalized experiences across all touchpoints. A seamless consumer experience can only be achieved by consolidating digital data. Organizations, however, are finding that consolidating data silos is more time-consuming and complicated than initially expected. The challenges One of the most pervasive obstacles companies face in when consolidating data is adopting inefficient and costly tactics that quickly become outdated. For instance, over the last couple of years, many companies turned to enterprise data warehouses to consolidate data silos, but some were too expensive or poorly suited for raw, unstructured and semi-structured data. This led companies to adopt data management initiatives, which bogged down many enterprises. Perception among senior level executives is another challenge. Many still question the need for digital transformation – achieving greater efficiencies through updating business and organizational processes with new technologies. Gartner found that more than half (54%) of senior executives say their digital business objective is transformational, while 46% say their objective is optimization. Digital transformation and data consolidation require time and effort. So, many large organizations work to overcome data silos as part of a multiyear digital transformation versus an immediate action item, delaying the benefits the company sees from taking on this project. All of these challenges make delaying progress in data consolidation easy, but companies should remember the impetus for doing so: creating a seamless customer experience that, in turn, drives business results. Brands with higher quality customer experience grow revenue faster than direct competitors with lower quality customer experience. The approach Many brands go into the digital transformation process assuming they have massive amounts of customer data, and that much of it is valuable or will be in the future. They might spend months aggregating that data in data stores or data lakes – at great expense. The trouble is that their data was scattered across multiple databases, which means it’s highly fragmented. As a result of this fragmentation, marketers can’t activate their data in ways that enhance the customer experience. To do so, companies must ensure their digital data is highly flexible so it can provide a holistic view of the consumer journey across every digital, in-store, in-venue and offline channel. I’d recommend that organizations taking on data centralization initiatives prioritize use cases that offer the company the greatest benefit. This is where organizations should establish a “crawl, walk, run” approach to data centralization to ensure key executives buy into the process. Starting with a subset of use cases, such as customer retention or upsell, or with a campaign, which is an even smaller starting point, allows executives to see the benefits of data consolidation projects relatively quickly. Once they validate these initial benefits, they can expand the range of use cases or campaigns, as well as the marketing ROI for their business. While data centralization is a long-term project that may take several years to complete, it doesn’t mean a business can’t get started now and see measurable results quickly. Break down data consolidation into stages so the organization can experience wins along the way. At the end of the day, data consolidation will help organizations deliver more effective marketing campaigns that drive business growth. Follow Experian Marketing Services (@ExperianMktg_US) and AdExchanger (@adexchanger) on Twitter. Contact us today!

Tapad's technology enhances Bidtellect clients frequency capping and audience extension capabilities cross device. NEW YORK, Feb. 28, 2019 /PRNewswire/ — Tapad, part of Experian, is a global marketing technology company and leader in digital identity resolution solutions, today announced a new partnership with Bidtellect, a leading native Demand-Side Platform (DSP). Bidtellect's paid content distribution platform will leverage The Tapad Graph™ as its first cross-device partner. The integration will offer Bidtellect's clients in the U.S. and Canada cross-device frequency capping and enhanced audience extension capabilities. The combination of Tapad's leading cross-device technology, with Bidtellect's unparalleled scale and optimization capabilities, will allow content marketers within brands and agencies to develop even more strategic, effective content marketing campaigns. The Tapad Graph™ will allow content marketers to gain greater reach and create more relevant, unified messaging with targeted delivery, when used in conjunction with Bidtellect's technology. Marketers can expect to benefit from amplified reach, and enhanced, privacy-safe engagement with desired audiences as a result of this partnership. "Partnering with Tapad, the leaders in cross-device data, provides Bidtellect with a complete solution that leverages both probabilistic and deterministic mapping strategies," said Mike Conway, Chief Technology Officer at Bidtellect. "The Tapad relationship expands our audience size by providing the opportunity to reach the same user across multiple devices and, when used in conjunction with our frequency capping functionality, ensures increased reach, reduced ad saturation, and elimination of wasted ad spend." As the partnership progresses, Tapad will also work with Bidtellect to provide advanced attribution for conversions and engagement metrics including connectivity and amplification. These advanced insights will help brands and agencies develop a more holistic approach to content marketing, so they can build audiences and influence bidding algorithms that directly impact their business. "We're thrilled to be working with Bidtellect as the company's first cross-device partner," said Chris Feo, SVP of Global Data Licensing and Strategic Partnerships at Tapad. "At Tapad, we are continuously advancing our identity resolution solutions to keep pace with the ever-changing needs of marketers. As a part of that commitment, we look to work with partners where our technology is able to enhance their offering to better serve marketers. We are looking forward to creating that superior experience with the Bidtellect team." Contact us today to get started

What is the most valued asset an advertiser has? Is it their brand? Is it their inventory? Is it their ever-improving website? The answer is simple – it’s their CRM file. Without it, nothing else matters. People have several options when it comes to the wide variety of products and services in the marketplace, so advertisers need to communicate with their customers in a relevant manner through media channels their customers prefer. This creates a more pleasant experience for the customer, and the potential for a lifelong relationship. And the CRM file is the first part of that equation. The second part of the equation is quality, third-party information. When combined, advertisers can have a holistic view into the customer’s behaviors, preferences and interests – keys to relevant communication. And of course, Experian is here to help! OmniActivation is built upon Experian’s ability to leverage/match an advertiser’s own customer file including the names and addresses, email, phone numbers, social IDs, digital IDs, etc., with various media partners and destinations. As you can imagine, there is complexity in how each of these identifying points can be used for successful matching/targeting. For this article, we want to focus on the value of being able to match using the client’s names/addresses. Our clients have a common goal to ensure that they are sending the right messages/right offers at the right time to their customers to drive business and revenue. Matching (using name and address) is the ultimate means of being able to accomplish that goal. Experian has perfected the ability to match using names/addresses and has provided this support for decades to benefit our clients. Our matching expertise relies on the following three critical factors: Security: Experian ensures the security of any data by using encryption or secure transfer protocols in receiving data for matching projects. We understand the value of personally identifiable information (PII) and our high security standards reflect that focus. Accuracy: Our ability to match PII using custom logic and parameters ensures that we are identifying the most accurate matches. Matching PII between two files is the most direct and accurate way to target. We can identify PII matches based upon individual, household and address levels and have consistently outperformed our competitors on name/address matching standards. Confidence: Experian is a trusted third party for our clients and their most valued asset, their CRM files. While we know that the complexity of matching will continue to expand including all types of current and new digital applications, Experian is confident that the value of PII matching will continue to be a cornerstone for our clients to reach their customers.