
At Experian, we understand the importance of audience targeting when it comes to crafting a successful marketing campaign. We are excited to share a curated list of audience recommendations to support your campaign planning so you can confidently connect with your audience.
What separates Experian’s syndicated audiences
- 2,400+ syndicated audiences powered by marketing data ranked #1 in accuracy by Truthset offers advertisers the ability to reach people based on demographic, geographic, and behavioral attributes.
- Our audiences span 15 data categories including auto, retail purchases, lifestyles and interests, financial, and travel.
- Audiences are available on-the-shelf on 30+ major ad platforms, including TV, social, and programmatic, or distribute them to 200+ media platforms.
- Our syndicated audiences are built on top of Experian’s identity graph, which includes digital identifiers like hashed emails (HEMs), mobile ad IDs (MAIDs), IPs, Universal IDs, and connected TV (CTV) IDs. This foundation ensures highly addressable audiences, enabling you to reach all U.S. households and consumers to reach the full U.S. population.
New and improved audience segments we recommend for Q1 campaigns
Q1 is the ultimate season for TV, with the NFL playoffs, Super Bowl, College Football playoffs, award shows and so much more capturing viewers’ attention. That’s why we’re excited to introduce 14 new and 8 updated television audiences. Recently released on major platforms, these new television audiences offer unique opportunities to align your campaign planning with the latest viewer behavior trends.
- Cable Satellite or Streaming Network Subscribers
- Satellite Service Subscribers
- Mutli Brand TV Owners
Seasonal audiences for Q1
New Year’s audiences
As the new year approaches, it’s the ideal moment to connect with consumers inspired by their New Year’s resolutions. In 2024, one-third of U.S. adults set goals for the year, focusing on key areas like healthier living, getting organized, exploring new experiences, and improving financial wellness. Experian’s New Year’s resolution audiences provide valuable insights into these aspirations, allowing you to tailor your messaging and engage with consumers determined to make positive changes in 2025. From promoting healthy lifestyles and travel to supporting organization and financial goals, Experian’s data-driven solutions help you capture these motivated audiences with precisely targeted messaging.
Football audiences
Football season presents an unmatched opportunity for brands to connect with one of the most engaged audiences in the U.S. As in-game ad costs continue to rise and slots fill up quickly, brands are seeking innovative ways to reach passionate football viewers beyond the game. Experian’s specialized football audience segments allow advertisers to engage with fans across categories like NFL stadium visitors, college football enthusiasts, beer drinkers, and dedicated TV viewers, ensuring your brand connects meaningfully with consumers throughout the season.
Financial audiences
With tax season just around the corner, brands have the opportunity to connect with financially engaged audiences in the U.S. Whether your goal is to reach self-starters managing their own returns or high-net-worth individuals seeking advanced tax solutions, Experian can ensure your brand connects meaningfully with the right financial audience at the right time.
Experian’s specialized financial audience segments empower brands to engage with key groups, such as:
- Tax Return – Self prepare user
- Tax Return – Online tax software user
- Tax Return – Professional Service Preparer user
- Savvy Sounding-Board Seeking Investor
- Price Sensitive, Self-Directed Investor
Top recommendations for Q1
Based on the top Experian audiences activated in Q1 of 2024, our top 10 list is designed to assist agencies and media buyers plan data-driven advertising campaigns.
Occupation
- 1) Small Business Owners: This segment contains consumers who are likely to be small business owners.
- 2) Military – Inactive: This segment contains consumers who are likely to be inactive in the military.
- 3) Legal/Education and Health Practitioners: This segment contains consumers who are likely to have an occupation in Legal/Education and Health Practitioner.
- 4) Technical: Computers/Math and Architect/Engineering: This segment contains consumers who are likely to have an occupation in Computers/Math and Architect/Engineering.
Consumer Lifestyles
- 5) Vacation/Leisure Travelers: Weekend Getaways: This segment contains consumers who are likely high spenders or frequent purchasers of weekend getaway travel.
- 6) Women’s Sleepwear and Lingerie: High Spenders: This segment contains consumers who are likely high spenders at women’s sleepwear and lingerie stores (e.g., Soma, Victoria’s Secret).
- 7) Smart Investors: This segment contains consumers who are likely actively seeking out as much information about an investment as possible before committing, shopping around for the best investment deal, and aversion to financial debt.
- 8) Computers/Software Frequent Spenders: This segment contains consumers who are likely frequent spenders of computer software.
Life Events
- 9) New Movers: High Spenders: This segment contains consumers who are likely new mover high spenders.
- 10) New Parents: Child Aged 0-36 Months: This segment contains consumers who are likely to be new parents for children aged 0-36 months.
You can find the complete audience segment name in the appendix.
Activate the right audiences with Experian
For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. 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.
Appendix
Here are the complete audience segment names (taxonomy paths) for all audience segments discussed in this blog post.
TV Audiences
- Television (TV) > Household/Family Viewing > Cable Satellite or Streaming Network Subscribers
- Retail Shoppers: Purchase Based > Seasonal > Discount Holiday Shoppers
- Television (TV) > Brand Owners > Multi Brand TV Owners
Financial Audiences
- Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return – Self prepare user
- Lifestyle and Interests (Affinity) > Financial Behavior > Online Tax Software user
- Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return –Professional Service Prepare user
- 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
Occupation
- Consumer Behaviors > Occupation: Small Business Owners
- Lifestyle and Interests (Affinity) > Occupation > Military – Inactive
- Demographics > Occupation > Professional: Legal/Education and Health Practitioners
- Demographics > Occupation > Technical: Computers/Math and Architect/Engineering
Consumer Lifestyles
- Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Weekend Getaways
- Retail Shoppers: Purchase Based > Apparel > Women’s Apparel (Clothing): Women’s Sleepwear and Lingerie: High Spenders
- Financial Behavior > Smart Investors
- Retail Shoppers: Purchase Based > Technology/Telecom > Computers/Software Frequent Spenders
Life Events
- Retail Shoppers: Purchase Based > Shopping Behavior > New Movers: High Spenders
- Life Events > New Parents > Child Age 0-36 Months
Latest posts

On some level, collecting data and analyzing it to find meaningful conclusions has always been part of how marketers go about connecting with consumers. Their strategies have improved dramatically over time, though. Perhaps in a previous era, marketing executives were only able to make sweeping generalizations about large swathes of the population. But, as marketers have gathered more data on individual consumers, they’ve found ways to fine-tune their searches. They’re no longer messaging to groups in vague terms. Smart Data Collective recently examined the marketing world’s transition away from broad stereotyping toward better targeted forms of data mining. Josh Brown, a member of the marketing team at business and IT consulting company Iconic Mind, argues that this era of overgeneralization is coming to an end. We now have the capability to zoom in on the specific customer. “Big data is how successful companies are building more detailed models of consumer behavior,” Brown wrote. “Instead of relying on the traditional demographic models that marketers used when we were operating in a mass consumption environment and had nothing better, big data capitalizes on developing market trends to allow businesses to become far more specific when segmenting their customers.” Brown cited Amazon.com as an example. The online superstore is notable for its targeted recommendations of products that shoppers see every time they log on to the site – the advisements are impressive because they’re usually right up the customer’s alley. Amazon doesn’t generate these ideas by making guesses based on whether the consumer is old or young, male or female – instead, the site takes in specific information about people’s buying histories and looks for similar products. This approach is quickly becoming mainstream. It’s not hard to understand why – people don’t like being reduced to profiles of their demographic characteristics. Consumers are expecting more from the companies they do business with. Thanks to the rapidly improving technologies that companies use for data collection, marketers can be more targeted and make more intelligent interactions. However, to take advantage of these new technologies, marketers need to maintain high quality data. Without a data quality strategy, customer information will be spread out across the organization, making it difficult to make intelligent marketing offers. To learn more about improving your understanding of consumers, check-out our infographic on building a single customer view.

Adam Garone is the CEO & co-founder of Movember, the annual world-wide charity movement dedicated to changing the face of men's health – all through the power of the moustache. To date, over 3 million moustaches have been grown and supported for Movember, raising more than $440 million to change the face of men's health. Adam kicked off day two of the EMS Client Summit by saying he’s a lucky guy because he gets “to wear a 1993 porn stash year-round.” That line got a laugh, but Adam’s storytelling around Movember really caught the attention of Summit attendees. Adam had learned that prostate cancer affects as many men as breast cancer does women, and while discussing this fact over beers with his brother in Australia, the idea for Movember was born. They took the Aussie slang for moustache (“mo”) and combined it with “November” (a good month for men to grow them) to create the name. That was in 2003 and over the last decade, Movember has become a global movement around prostate and testicular cancer awareness, as well as men’s mental health issues. Watch his full presentation below: [Watch video on YouTube] Here are some cool facts cited by Adam: Everyone who grows a moustache for Movember is a “celebrity ambassador.” Last year, 2.7 billion conversations about Movember and men’s health issues were generated during the month of November. Most foundations go out with a “fear-based message” (x number of men die from cancer each year, for example). Movember has never done that. They encourage nicknames (i.e., participants are called “mo-bros”) and want people to have fun with it. Adam’s message: don’t be part of it because you’re scared, but because you will be fine and you get to help others. Each year they totally revamp their brand, changing the look, feel and tone. A few years ago their theme was “The Modern Gentleman” and last year it was “Movember and Sons,” and played off the relationship between father and son. Movember raised $145 million last year. They put 10% of the funds into a pool that goes towards research around other diseases. Adam says this kind of collaboration is to help reduce the heaving competition amongst charities that typically compete for donations. Key takeaways when it comes to growing a foundation (or business) from the ground up: Start with a great idea – naivety is good Rely on strong leadership –have a clear vision and detailed plan and work really, really hard Recruit amazing people – preserve culture and values During rapid growth, keep it simple—stay true to your core Brand management is key – sometimes you have to say no to potential partners because they don’t fit with your brand (in a humble way, of course) Know your customers – inspire them to become your ambassadors Partnerships are key Never underestimate a room full of people

These days, there are a number of buzzwords being thrown around the marketing industry and the data management space. One of the biggest? Say it with me: Big Data. NPR argued last December that ‘big data’ should’ve been the “word of the year,” in part due to the re-election of President Barack Obama. Obama’s campaign managers didn’t let the Republicans’ monetary advantage discourage them. Instead, they gathered information on their voters and compiled important analytics based on that information. By handling this mass of data in an organized and well thought out process, they were able to more effectively appeal to voters and ultimately win the re-election. Marketers and corporations across the country were inspired by the campaign’s success, and have turned to big data to solve their problems as well. Anyone who catches the news on a regular basis, shops online, or owns a smartphone can see this evolution firsthand. However, it’s worth mentioning that this progression doesn’t necessarily mean “big understanding” or “big information.” Many companies are faltering in their efforts to harness big data and make real use of it. The pool of information is constantly changing, and as so many businesses rush to gather the data in real-time, it becomes even more challenging to keep pace and actively comprehend information as it becomes available. And the challenges go beyond the initial harnessing of the data. As big data continues to grow, companies are running into issues of incorrect and duplicate data in their systems. This erroneous data is a result of poor processes that companies have in place, and oftentimes begins at the point of data input. For a number of companies, data input is performed on a daily basis via their call centers. When incorrect data is recorded, it prevents sales representatives from getting leads in a timely manner, and hampers them further when they try to contact the correct individuals seeking assistance. The resulting slower response time then goes on to impact a company’s SLA and credibility to the population they serve. There is no doubt that when processed correctly, big data can be integral to a company looking to improve their understanding of the customer’s needs and wants. But data quality is an important consideration during the transition, and one that must be confronted before big data can reveal all it has to offer. To learn more about big data and how it relates to the data quality initiatives that may be taking place within your organization, watch Experian QAS’ webinar, “Ensuring Data Quality in your Big Data Initiative.” Learn more about the author, Erin Haselkorn