
As Oracle exits the advertising space, we understand that this may present a challenge. Experian is here to support you with a seamless transition in your audience targeting. As one of Oracle’s primary data providers that powered their audiences, we’ve mapped Oracle audiences to Experian audiences, helping you to switch your audience targeting with no impact on your campaign’s performance.
In this blog post, we highlight four audience categories that we know marketers are actively seeking to replace and target: auto, restaurants, lifestyle and interests, and demographics.
Experian’s approach to best-in-class audience targeting
- 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 demographics, 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
Experian’s audience solutions are rooted in offline, deterministic data — like name, address, phone number, and email — that rarely changes. Our deep understanding of people in the offline and digital worlds provides marketers a persistent linkage of known offline data and digital identifiers, which means you get accurate and consistent audience targeting across all channels.
Auto, Cars, and Trucks

As the premier auto partner contributing to Oracle auto segments, Experian can help you reach and target consumers based on their known and predictive auto shopping behaviors. Experian’s auto audiences are built utilizing insight from our North American Vehicle Database℠ and other data attributes from Experian Marketing Data to provide highly accurate audiences for digital and TV advertising.
Unlike some of our competitors who are also positioning themselves as a replacement audience provider, Experian owns all our Vehicle, Consumer, and summarized Credit data under one umbrella and refreshes our audiences every 30 days. This ensures tighter audience composition, superior data hygiene, and best in-class data fidelity, which means you get to target the most accurate audiences. With over 750 syndicated audiences segmented by make, model, price, vehicle age, fuel type, and more, our data is accessible through Experian’s distribution power across all platforms — digital, TV, programmatic, and social — allowing activation wherever our partners need it.
Here are the 10 most popular Experian audiences that align with Oracle’s auto audiences:
| Audience by Oracle | Experian audience |
| Audiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > SUVs and Crossovers | Autos, Cars and Trucks > In Market-Body Styles > SUV and CUV |
| Audiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > Trucks > Mid-Size Pickup Trucks | Autos, Cars and Trucks > In Market-Body Styles > Mid-Size Truck |
| Audiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > Trucks > Full-Size Pickup Trucks | Autos, Cars and Trucks > In Market-Body Styles > Full-Size Trucks |
| Audiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > SUVs and Crossovers > SUVs > Small to Mid-Size SUV | Autos, Cars and Trucks > In Market-Body Styles > Small Mid-Size SUV |
| Audiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > SUVs and Crossovers > SUVs | Autos, Cars and Trucks > In Market-Body Styles > SUV |
| Audiences by Oracle > Financial Services > Insurance > In-Market > Auto Insurance | Lifestyle and Interests (Affinity) > In-Market > Auto Insurance |
| Audiences by Oracle > Auto, Cars and Trucks > Merchant Category Audiences > Auto Insurance High Spenders | Retail Shoppers: Purchase Based > Automotive (Cars & Trucks) > Auto Insurance: High Spenders |
| Oracle BlueKai > In-Market > Auto, Cars and Trucks > Condition > Used Cars > More than 5 years old | Autos, Cars and Trucks > In Market-New/Used > Used car 6+ years |
| Audiences by Oracle > Auto, Cars and Trucks > In-Market > Condition > Used > Less than 5 years old | Autos, Cars and Trucks > In Market-New/Used > Used car 0-5 years |
| Oracle BlueKai > In-Market > Auto, Cars and Trucks > Classes > Cars > Compact and Sub-Compact Cars | Autos, Cars and Trucks > In Market-Body Styles > Compact or Subcompact Cars |
Lifestyle and Interests

Experian’s Lifestyle and Interests data helps you reach and target consumers based on their predicted lifestyle and behavioral characteristics with data sourced from consumer surveys, research panels, and online behaviors, enabling more personalized and impactful marketing strategies.
Here are five of the most popular Experian audiences that align with Oracle’s lifestyle and interest audiences:
| Audience by Oracle | Experian audience |
| Audiences by Oracle > Hobbies and Interests (Affinity) > Pets > Dogs | Lifestyle and Interests (Affinity) > Pets > Dog Owners |
| Audiences by Oracle > Hobbies and Interests (Affinity) > Pets > Cats | Lifestyle and Interests (Affinity) > Pets > Cat Owners |
| Audiences by Oracle > Hobbies and Interests (Affinity) > Health and Fitness > Exercise | Lifestyle and Interests (Affinity) > Health & Fitness > Fitness Enthusiast |
| Oracle DLX (Datalogix) > DLX Finance > Investors | Lifestyle and Interests (Affinity) > Investors > Active Investor |
| Audiences by Oracle > Lifestyles > Merchant Category Audiences > Sports Lovers | Lifestyle and Interests (Affinity) > Sports and Recreation > Sports Enthusiast |
Demographics

Experian’s demographic data allows marketers to tap into the accurate data from Experian Marketing Data to refine audiences to meet a brand’s target persona. Our demographic audiences deliver insight into age, gender, income, and household attributes such as home ownership, presence of children in the household, and length of residence.
Based on customer feedback, we have expanded our range of age-based audience segments. These new segments cover various adult age groups and gender distinctions (e.g., Adult Females 18-39, Adult Males 35-54).
Here are seven of the most popular Experian audiences that align with Oracle’s demographic audiences:
| Audience by Oracle | Experian audience |
| Audiences by Oracle > Demographics > Validated Demographics > Household Income > HHI: $100,000+ | Demographics > Household Income (HHI) > $100,000+ |
| Audiences by Oracle > Real Estate and Home Property Services > Real Estate Attributes > Ownership > Home Owners | Demographics > Homeowners/Renters > Homeowner |
| Audiences by Oracle > Demographics > Age Groups > Adults 25-54 | Demographics > Ages > 25-54 |
| Audiences by Oracle > Demographics > Gender > Females | Demographics > Gender > Female |
| Audiences by Oracle > Demographics > Validated Demographics > Age Groups > Adults 25-54 > Females 25-54 | Demographics > Ages > Female 25-54 |
| Audiences by Oracle > Demographics > Age Broad > Ages 40-49 | Demographics > Ages > 40-49 |
| Audiences by Oracle > Demographics > Validated Demographics > Age Broad > Ages 65+ | Demographics > Ages > 65+ |
Quick Service Restaurants (QSR)

Here are six of the most popular Experian audiences that align with Oracle’s QSR audiences:
| Audience by Oracle | Experian audience |
| Audiences by Oracle > Restaurants > Merchant Category Audiences > In Store QSR Fast Food Frequent Spenders | Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR QSR Frequent Spenders |
| Audiences by Oracle > Restaurants > Merchant Category Audiences > QSR Chicken Frequent Spenders | Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Chicken Frequent Spenders |
| Audiences by Oracle > Restaurants > Merchant Category Audiences > QSR Burgers Frequent Spenders | Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Burger Frequent Spenders |
| Audiences by Oracle > Restaurants > Cuisine Type > Sandwiches | Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Subs and Sandwich Frequent Spenders |
| Audiences by Oracle > Restaurants > Dining Type > Casual Dining | Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Casual Dining Frequent Spenders |
| Audiences by Oracle > Restaurants > Dining Type > Coffee Shops and Cafes | Retail Shoppers: Purchase Based > Food and Drink > Restaurants: Coffee Frequent Spenders |
Switch from Oracle to Experian audiences with ease
Experian is here to make it easy for advertisers and agencies to find the right audience solutions after Oracle’s exit. By partnering with us, you work with a single data provider that offers access to a diverse range of audiences across multiple categories, including political and holiday shopping. Our audiences are available for activation on the leading demand, supply, social, and TV platforms.
Reach out to your account representative or our audience team for information about our comprehensive audience mapping and finding the right audiences for your campaigns.
Download our audience lookbook to discover more about Experian’s audiences.
Latest posts

It seems that every time I go into a store today, I am offered a loyalty card. From one of my favorite local restaurants to my shoe store VIP program, I feel like I am getting a host of emails and points at every turn. Statistics support my theory: according to a recent Experian Data Quality study, 91 percent of organizations use loyalty programs. Why did they become so prevalent? Today’s consumer is more empowered than ever before and driving major change within business. In the era of Yelp, digital channels and a 24/7 shopping cycle, organizations have less control. Just look at the shoe market, which you can tell I pay attention to. It used to be that you would purchase whatever your local department store or brick-and-mortar retail had to offer, which might be 50 different options. Now, you can go online, read reviews and browse hundreds of different choices based on style and color. In fact, last night I went online and searched for black boots and scrolled through six pages of different options! Loyalty programs are a counter balance to that choice and empowered customer behavior. They make sure that while I am shopping for shoes, I am probably doing it through my preferred store and earning reward points for free merchandise. And through the loyalty process, companies are collecting a lot of data. Customers usually need to provide more than three types of information to sign up, the most popular being email, followed by name and phone number. However, collecting this information accurately isn’t always easy, which is why poor data collection is one of the leading problems for loyalty programs. Eighty-one percent of companies face challenges related to these programs, the two biggest being not enough customers signing up and poor contact data. Inaccurate data means that a customer has signed up, but the marketer is unable to communicate with them in the desired channels. This clear drop in communication and a potentially bad customer experience could be by improved data collection. Sixty-four percent of respondents say this is a needed improvement. Let’s go back to my shoe retailer example. If they had collected my email wrong, I wouldn’t get my email confirmations or offers around upcoming sales. If they got my address wrong, I wouldn’t be receiving my shoes. Considering how much money I spend on shoes annually, which I am ashamed to admit, if any of those items went wrong, I might switch to a competitor. That can equate to a lot of money annually, especially when you look at it across a large number of clients. When a customer chooses to sign up for a loyalty program, they are making a commitment to the company and expecting something in return, be it points, free shipping, coupons or just company updates. However, if bad contact information is collected, then the consumer often never receives the benefits, resulting in a bad customer experience. In the next year, marketers need to data validation in place to ensure information is accurate upon collection. This type of software can be implemented across all channels where information is collected and ensure data is accurate while the consumer is still engaged. If information is accurate when it is collected, then loyalty programs have a better chance at engaging consumers and actually seeing the benefit that a loyalty program can provide. To learn more about loyalty programs and the research mentioned above, please read our new white paper, Driving customer loyalty.

When building marketing plans these are the top trends marketers need to know and consider Crowdsourcing, Programmatic Buying, The Internet of Things … these are all concepts that today’s savvy marketer needs to be thinking about. We can’t emphasize it enough: the marketing landscape changes almost daily, sometimes without us even realizing it. The three concepts I just mentioned weren’t even part of our lexicon a few short years (or even months) ago, but are now important trends marketers need to know and consider when building out marketing plans. Take crowdsourcing, for example. Experian Marketing Services research showed that the number of ratings or reviews posted online has increased by 30 percent in the past two years and the number of adults who say they pay attention to such reviews has increased by 33 percent. Brands are capitalizing on the trend by engaging their consumers in communities that share their content and even help them design new products. Programmatic Buying, which refers to the automation of online ad buying, has exploded over the last few years as publishers like AOL have started focusing less on selling remnant inventory and started offering their premium inventory to advertisers up front. This has led to the packaging of “audiences” that marketers can use to target customers across channels and devices. And one of this year’s biggest trends is the rise of the “Internet of Things,” which is, essentially, everyday objects that connect to the Internet to improve efficiency, connectivity and user experience. Think smart light bulbs that you can control from your smartphone, or smart thermostats that also connect to your phone and allow you to adjust the temperature in your house before you get home from work. If you find these concepts interesting, please read “Trending Now” to get more insights into these trends marketers need to know and several other fresh marketing ideas that are changing the way marketers are thinking about planning today.

Q&A with John Fetto, Senior Analyst, Marketing & Research Earlier this year, Experian Marketing Services released our Cross-Device Video Analysis. The analysis has generated such strong and sustained interest from marketers and the media, we wanted to explore the subject further. The following is an exchange with the report’s lead author John Fetto who answers some common questions that we’ve received since the analysis was published. Q: In the Cross-Device Video Analysis, you report that consumers are “cutting the cord” on pay cable and satellite television services. Can you elaborate on this trend? What’s driving it? According to our research at Experian Marketing Services, U.S. consumers are increasingly likely to have high speed Internet at home but no cable or satellite TV subscription. There are two primary consumer trends driving this: 1) Households that never subscribed to a pay TV service are now upgrading to broadband Internet; 2) Households that previously subscribed to both pay TV service and broadband Internet that have since cancelled the cable or satellite TV subscription. While the vast majority of U.S. households pay for either cable or satellite TV, an estimated 15.1 million (or 12.9 percent of households) do not. That’s up from 13.5 million households (11.9 percent) who didn’t pay for TV in 2009. At the same time, the share of broadband households is also rising. Today, 72.7 million homes (61.4 percent) have broadband Internet, up from 65.0 million homes (56.9 percent) in 2009. As Americans’ Internet connection at home is increasingly fast enough to deliver high quality video content through sites like YouTube, Netflix, Hulu and the like, as well as the ability to consume that online video content across an array of devices ranging from Internet-connected televisions to smartphones and tablets to computers, they are increasingly questioning whether they need to continue paying for TV. And more and more consumers are deciding to cut the cord. Q: With more consumers cutting the cord, how are they consuming video content? While the most commonly used device to consume online video is the smartphone — used by 24 percent of adults during a typical week to watch online video, according to our research — “cord cutters” are primarily using Internet-connected TV to consume online video. In fact, an adult who watches online video on their TV is 3.2 times more likely than the average adult to be a cord-cutter. This means that the Internet-connected TV market is critical in predicting the future of the cord-cutting consumer. As existing devices like Apple TV, Chromecast and Roku are upgraded and new devices like Amazon Fire TV are introduced to the market, consumers will have more and more options to consume online video without sacrificing quality or screen size. As a result, more consumers will be reconsidering whether they need to continue paying for TV. Q: What percent of consumers get their television programming from various sources including cable, satellite, online streaming and free over the air TV? Combined, 87.1 percent of U.S. households subscribe to either cable or satellite TV. While Experian Marketing Services doesn’t specifically measure the percent of Americans who watch TV through an over the air feed (OTA) we know that among those who do not subscribe to cable or satellite, the vast majority (77 percent) still watch TV. And while it’s possible that some are viewing TV from a cable or satellite feed away from home, the most likely source of their TV content would be from OTA sources. That means that at least 10 percent of American adults are watching some TV through an OTA feed. In addition, 48 percent of all adults watch online video each week through a variety of devices. Those who don’t pay for TV are 12 percent more likely than those who have cable or satellite TV to watch online video (54 percent vs 48 percent). Q: The cord-cutting trend has many implications for the cable and satellite companies, but what do consumer-facing marketers and advertisers need to know about this trend? The growth in online video viewing creates many opportunities for marketers. Online audiences can be more easily targeted and served up advertising that is more relevant, responsive and measureable. Marketers can also be more confident that their online ad was actually seen, given that viewers are typically unable to skip ads. And while CPMs for online video ads may generally be lower than those of TV, marketers can use that savings to negotiate costs based on clicks or transactions rather than impressions, giving them a better picture into audience interest and insights to inform their budget allocation. Millennials are the most device “agnostic,” with more than one-third saying they don’t mind watching video on a portable device even if it means a smaller screen. That’s more than double the rate of those ages 35 and older. This decentralized viewing can create headaches for marketers who need to start a relationship with Millennials during this stage of their lives when they’re most open to trying out new brands and have yet to settle down. On the plus side, marketers who do manage to reach this audience will find them much more open to advertising than average. In fact, Millennials are more than four times more likely to say that video ads that they view on their cell phone are useful. So while the challenge is big, so is the potential reward. Download the full analysis to learn more about: Cross-device video behaviors to optimize media mix approach The impact of the growing trend in cord-cutters The rising influence of Internet-connected TV How to get more impact from video content