
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

2013 has been a milestone year for those lobbying on behalf of expanded rights of Lesbian, Gay, Bisexual and Transgendered (LGBT) Americans. With 12 states and the District of Columbia now formally recognizing same sex marriages and two highly anticipated rulings from the U.S. Supreme Court expected shortly, the momentum is currently on the side of those seeking greater recognition and support of LGBT-related issues. The speed with which public attitudes have shifted towards greater acceptance of LGBT individuals and their causes has left many marketers scrambling to devise plans that are not only inclusive of LGBT consumers, but in many instances, designed to overtly and publically court this influential and growing consumer segment. The 2013 LGBT consumer report out from Experian Marketing Services delivers insights marketers need to better understand the market that is on everyone’s radar. In this first of a series of blog posts, we’ll highlight key data from the report. Readers can download the full report at any time here. Living out Loud In 2006, when Experian Marketing Services first began measuring sexual orientation among respondents to our Simmons® National Consumer Study, we found that 3.4% of all non-Hispanic adults self-identified as either lesbian, gay, bisexual or transgendered (LGBT), a figure consistent with what leading LGBT researchers predicted at the time. However today, 4.3% of the non-Hispanic adult population self-identifies as LGBT, a figure that has risen slowly but steadily year-after-year. Younger adults have consistently been more likely to identify as LGBT, and in fact today, 5.8 percent of 18 to 34 year olds say they are lesbian, gay, bisexual or transgendered. As a result, the adult LGBT population predictably skews towards the younger age cohorts. Specifically, 36% of LGBT adults today are aged 18 to 34 versus 26% of the heterosexual population in that age range. Likewise, while 20% of heterosexual adults are age 65 and older, just 16% of LGBT adults are in this age range, though our data shows that the share of adults age 65 and older identifying as LGBT has also risen. Home and Family As a growing number of U.S. states pass laws recognizing same-sex marriages and civil unions, we see an increasing percentage of gay and lesbian Americans reporting that they are married. In 2007, for example, when only Massachusetts allowed same-sex marriage, 8% of gay men and 14% of lesbian women said they were married. Today, 17% of gay men and 16% of lesbian women are married. Marriage rates among lesbian and gay adults still lag well behind those of heterosexuals, but the gap is closing from both sides. In fact, while marriage rates are rising among lesbians and gays, they’re falling among heterosexuals. Today, 58% of heterosexual men and 53% of heterosexual women are married, compared to 60% of heterosexual men and 55% of heterosexual women who were married in 2007. The Pink Dollar Income levels are important to consider when targeting consumers, but more important is determining the amount of money left over for non-essentials after the other bills are paid. Despite earning nearly identical salaries, gay men have lower annual household discretionary expenditures than heterosexual men. Likewise, lesbian households have fewer dollars than those of heterosexual women to spend on non-essentials. This is mostly likely due to the fact that both lesbian and gay adults tend to reside in larger cities where the cost of living can be considerably higher than average. Interestingly, when household size is brought into the equation, we see that gay males actually have higher discretionary spending per capita than heterosexual men. In fact, gay men live in households that devote $6,794 per capita annually to non-essentials, which is $753 more than what heterosexual men spend. Forthcoming posts from this series will include insights into the automotive and food vertical markets; the mobile habits of LGBT consumers; and an examination of online visitors to LGBT content sites. Don’t want to wait? Download the full report now. Also, learn more about the Simmons LGBT Consumer Study, the only syndicated, national probability sample survey that measures the lifestyles, attitudes, media habits and brand preferences of the LGBT population giving marketers actionable insights into this powerful consumer segment that can be directly compared with those of heterosexuals.

The importance of affiliate marketing as a marketing channel is evident; it ranks as one of the most effective marketing channels for retailers, along with paid search and e-mail. While effective affiliate marketing relies on two groups, the publishers (affiliates) who display advertisements online and the advertisers (merchants) who aim to increase sales for their online shop, incorporating insights from Experian Marketing Services’ Hitwise can strengthen affiliate programs. I recently worked with Rakuten LinkShare on a webinar which highlights how their affiliate marketing services partnered with Hitwise create a proven package for success by providing valuable and actionable insights to affiliate marketers in understanding and targeting key consumer segments. Identify sites sending traffic to your category For our case study, we examined a custom category of Rakuten LinkShare department store clients and compared them with a category of department store non-clients. Using Hitwise, we examined which publisher sites sent traffic to each of the categories in order to identify the best affiliates to partner with. Among the top 20 publisher websites, a number of fashion and style content websites were sources of traffic to LinkShare Department store clients. Fashion and trend focused affiliate sites, namely ShopStyle and Polyvore, pointed to clear fashion editorial interest amongst those who visited LinkShare department store clients. Consider search terms used to capture consumer interest and intent Next, we looked at generic terms that sent traffic to affiliate site ShopStyle. Terms included searches for products sold in department stores such as variations of “heels” and “dresses”. The data indicates that ShopStyle is a good candidate to partner with because it attracted visits from those who are interested in fashion, looking for a deal, and who are likely in-market for specific products. Monitor effectiveness of affiliate programs and make timely decisions Hitwise can also be used by marketers to evaluate the effectiveness of their affiliate partnerships. For this example, we were able to show that Rakuten LinkShare affiliates sent a larger share of traffic to department store clients versus non-clients, pointing to a clear benefit from affiliate partnerships. As affiliate marketing is an increasingly critical channel for marketers, the importance of selecting the best and most relevant publishers is clear. When used in conjunction with affiliate marketing programs, Hitwise enables marketers to understand competitors’ online distribution and sources of traffic, select the best affiliates to partner with, and quantify the return on investment from partnerships.

New data from Experian Marketing Services’ Simmons® ConnectSM mobile and digital panel sheds light on the way smartphone users spend time using their phone, with the average adult clocking 58 minutes daily on their device. On average, smartphone owners devote 26% of the time they spend on their phone talking and another 20% texting. Social networking eats up 16% of smartphone time while browsing the mobile web accounts for 14% of time spent. Emailing and playing games account for roughly 9% and 8% of daily smartphone time, respectively, while use of the phone’s camera and GPS each take up another 2% of our smartphone day. *Activities include use of a smartphone’s native features dedicated to each activity as well as downloaded apps whose primary function falls under the given activity. For instance, “watch video” includes the act of watching video on the smartphone’s native video player as well as use of video apps such as YouTube, Netflix, etc. iPhone versus Android users Smartphone users may constantly debate which operating system is supreme, but we see clear differences between the ways consumers use their phone depending on the operating system that runs it. For starters, iPhone users spend an hour and fifteen minutes using their phones per day, a full 26 minutes more than the typical Android phone owner. Additionally, iPhone and Android smartphone owners use their phones in markedly different ways. For instance, 28% of the time that Android users spend using their phones is dedicated to talking, whereas iPhone users spend only 22% of their smartphone time talking on the device. Android owners also devote a greater share of time visiting websites on their phone than iPhone owners. On the other hand, iPhone owners spend a disproportionately greater share of smartphone time than Android owners texting, emailing, using the camera and social networking. Note on time spent It may surprise some to read that an activity like watching video accounts for such a small share (less than 1%) of the typical adult’s daily smartphone use. However, for the charts above to sum to a single daily total it was necessary to calculate individual activity contribution using a base of all smartphone owners, including those who don’t spend any time engaging in a given activity during a typical day. The chart below provides additional insights into the time spent engaging in the major smartphone activities examining only those individuals who engaged in each activity during a 24-hour period. I’ve also added into the chart a reach and frequency metric to indicate the popularity of each activity and the number of times per day that individuals engage in them. In the chart, the activities with the largest bubbles are those in which the greatest share of smartphone owners engage during a typical day and include the usual suspects: talking (79%), texting (76%), visiting websites (62%), emailing (61%) and social networking (52%). Activities with the fewest daily participants are: watching video, which 2.3% of smartphone owners do during a typical day, and reading, which just 0.5% of smartphone owners do daily. Given that nearly 98% of smartphone users don’t watch videos on their phone during a typical day, it’s easier to understand why video comprises such a low share of the average adult’s daily smartphone use. However, the chart above reveals that those who do watch video on their phone spend, on average, 5 minutes a day watching videos spread out over 4.2 different viewing sessions. For more information on consumers’ usage of smartphones, digital tablets, computers and other traditional and digital media platforms, check out Simmons Connect.