
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

Twenty years ago this week, the first mobile text message, or SMS, was sent by British engineer Neil Papworth. Today, Americans are texting more than ever and among young adults, many of whom were not yet born when the first message was sent, texting is almost as common a mobile activity as talking. And why wouldn’t it be? According to the latest Simmons National Consumer Study, 48% of adults ages 18-to-24 say that a conversation via text message is just as meaningful as a telephone call. A similar share of adults ages 25-to-34 feel the same way. Regardless of age, texting is still, technically, the second most common activity that Americans engage in on their cell phone after talking. During a typical week, 95% of mobile adults talk on their mobile phone, while 59% text. Among adults ages 18-to-24, however, 89% talk on their phone and 85% text. Despite the increasing availability of mobile chat or instant message applications, texting remains the dominant means for exchanging short messages. Only 8% of all mobile adults use their phone to IM or chat. The fastest thumbs To get a more in-depth understanding of the texting habits of adults today, we leveraged data from the Simmons Connect mobile panel of 1,485 U.S. smartphone owners. Hands down, young adults text more than any age other age group. During a typical month, in fact, smartphone-owners ages 18-to-24 send 2,022 mobile text messages and receive another 1,831 for a combined total of 3,852 texts sent and received. With every age bracket we move up, the number of mobile texts drops by roughly 40%. For instance, smartphone owners ages 25-to-34 send, on average, 1,110 text messages a month and receive another 1,130 for a combined total of 2,240 messages. We are also able to leverage the Simmons Connect smartphone panel to understand mobile calling behaviors. The data shows that while young adults hold the record for the most text messages sent and received, they actually make and receive few calls, by comparison. During a typical month, smartphone owners ages 18-to-24 make 119 calls on their mobile phone and answer another 64 calls. Adults ages 35-to-44 make and receive the most calls on their mobile phones in a given month. (Call counts do not include inbound and outbound calls that go unanswered.) Text around the clock Unlike television and radio, which have peak hours for reaching consumers, mobile text messages reach Americans throughout the day, providing advertisers with a medium to connect with consumers any time they want or need. No surprise, young adults are the most likely to send and receive mobile text messages throughout the day. The smartphone panel data shows that during every hour between 8:00 A.M. and midnight, more than half of young smartphone owners are both sending and receiving mobile text messages. Even when most of us are asleep, young adults’ smartphones continue buzzing from inbound texts. In fact, 37% of 18-to-24 year-old smartphone owners receive texts at 4:00 in the morning. By comparison, just 20% of smartphone-owners ages 25-to-34 years-old receive texts at this late (or early) hour as do 17% of those 35-to-44, 15% of those 45-to-54 and 10% of those ages 55 and older. Better to send or to receive? During overnight hours, the share of young smartphone owners who send texts surpasses the share who receives them. However, by 8:00 A.M., the difference between those two figures narrows to the point that they are nearly equal. In fact, from noon until 11:00 P.M., young adults are more likely to send mobile text messages than they are to receive them. Call or text? While texting is still a secondary use of mobile phones after calling, that’s not the case all day, especially among young adults. In fact, while smartphone owners ages 18-to-24 are more likely to make an outbound call than they are to send a text from their phone between 7:00 A.M. and 10:00 P.M., they are more likely to send a text between 11:00 P.M. and 6:00 A.M., during hours when they might understandably wake the recipient. That should help us all sleep a little better.

Black Friday online traffic increased 7% in 2012 versus 2011 as the top 500 retail sites received more than 193.8 million total US visits. So far this Holiday week of online traffic to the top retail sites is up 10% on average. Online retail traffic was up 1% on Black Friday compared to Thanksgiving Day 2012 traffic this year. Amazon.com remained the top visited retail site on Black Friday while Walmart was the second most visited retail site. BestBuy moved up to the 3rd most visited site while Target was the 4th most visited site. JC Penney moved up from being the 8th most visited retail site on Thanksgiving Day to the 5th most visited on Black Friday. Among the top 5 sites, JC Penney saw the biggest day-over-day growth at 26%. Looking at the top 20 retail sites on Black Friday, the Apple Store site saw the biggest day-over-day growth at 99%. Check back for CyberMonday insight and a weekly recap of this week. Learn more about the author, Matt Tatham

A few months ago, during a conversation with the Simmons team at Experian Marketing Services, we started talking about how Hispanics are influencing the mainstream. Someone threw out the “salsa outsells ketchup” anecdote we’ve all heard, and we realized that it was time to stop reusing the same examples and start trying to really prove whether or not this influence is happening. Not long after, the Latino Influence Project was born. The study leverages a custom analysis of data from the Simmons National Hispanic Consumer Study, which measures over 48,000 respondents across 60,000 variables, including language, demographics, brand preferences, attitudes, lifestyles and even political outlook. Not surprisingly, the data showed that non-Hispanics who live in high-density Hispanic neighborhoods behave, buy and believe more similarly to Hispanics than non-Hispanics living in low-density Hispanic neighborhoods, even after controlling variables such as geography, education, income, age and other factors. Some of our findings reinforced what we expected to see. For example, the data shows that non-Latinos living among Latinos: Consume and enjoy more Hispanic products, including food, music and sports. They are 5.5 times more likely to eat jalapeños and are 6 times as likely to listen to and enjoy salsa and merengue. Enjoy standing out in the crowd and being fashionable. They are twice as likely to say they like to stand out from the crowd and 70% more likely to experiment with new clothing styles. However, we were surprised to see that the Latino influence on the mainstream extends far beyond just food, sports and fashion. Non-Latinos living among Latinos also: Lead the way in technology. They are twice as likely to use their cell phones and the Internet for information and entertainment. Eat less processed food. They are twice as likely to look for organic and natural when shopping for food. Are environmentally conscious. They are twice as likely to buy recycled products. The growing Hispanic population together with the influence they are exerting on non-Hispanics that live around them means that our whole notion of “general market” is changing, and will continue to evolve. We think that’s pretty cool. To find out more about the Latino Influence Project and learn more about what we found (and what we think it all means), please join the Webinar being hosted by Wing and Experian Marketing Services on Thursday November 29th, 2012 at 2:00 EST. You can also download the Latino Influence Project report. Holly McGavock is Wing's Director of Planning, where she helps brands like Olay, Downy, Red Lobster and Radio Shack, among many others, connect with Latino consumers.