
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.
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It’s almost that time of the year again, the time to put away fourth of July merchandise and replace it with this year's favorite superhero backpacks. It’s almost back-to-school season, and parents and kids from kindergarten to college are preparing for school's "new normal." To navigate the challenge of 2021, Experian’s Marketing Analytics team is sharing Back-to-School shopping season insights with you. Download the eBook to learn more. Our outlook about this year's Back-to-School shopping season can help you better plan and improve your marketing effectiveness. The report covers who's actively shopping for school supplies, whether they're shopping in-person or online, and what they're buying this year. Here's a summary of what you'll learn in the report: Who (specifically) is shopping for back-to-school supplies this year? More than half of online searches related to Back-to-School were made by a small set of consumer segments. We’ve identified 4 Mosaic® groups as being in-market for back-to-school merchandise. To find these types of consumers, we used online behavioral data and filtered for households with school-age children between 5 and 15 years old. Each group, such as Flourishing Families, share similar shopping behaviors and needs. While each group of consumers has a need for Back-to-School merchandise, they have different circumstances that require more personalized marketing. Let's break down each Mosaic® group to better understand their size and key features so that you can build more personalized messaging. Contact us for segments and insights specific to your brand. Power Elite As you can see in our Mosaic® product brochure, Power Elite is categorized as Group A. This is the largest group analyzed in the report, accounting for 4.5 million U.S. households. Here are the Power Elite consumer types actively shopping for back-to-school merchandise this year: A01: American Royalty A03: Kids and Cabernet A04: Picture Perfect Families Key Features: Wealthy Highly Educated Politically conservative Purchase housewares and electronics in store Vacation and fitness retail influencers Luxury lease cars Flourishing Families Also called Group B in this report, Flourishing Families is comprised of 3.7 million U.S. households. Active consumer types: B07: Across the Ages B08: Babies and Bliss B09: Family Fun-tastic Key Features: Affluent Charitable contributors Athletic activities High-priced children’s clothing Home products & furnishings Sporting good Suburban Style Suburban Style, also Group D, is made up of 2.9 million U.S. households. Active consumer types: D15: Sport Utility Families D16: Settled in Suburbia Key Features: Comfortable lifestyle Ethnically diverse Politically diverse Instagrammers Children’s games Wholesale members Family Union The Family Union group, Group I, is the smallest of those analyzed in this report, but still a respectable size: 1.2 million U.S. households. Active consumer types: I31: Hard Working Values Key Features: Bilingual Married with kids Large households Hunting clothing Automotive tools Will they shop online or in stores? Prepare for a return to in-store shopping as the US moves post-pandemic. These consumers have shopped in-store for Back-to-School and have trended toward in-store shopping as the vaccine was distributed. Mobile location data shows these consumers actively shopped in-person during the 2019 Back-to-School season, and are shopping in-person again post-pandemic. Experian analyzed consumer mobile location data for big box retailers, department stores, malls and apparel-accessory stores since June 2019. The aggregated number of visits was indexed each month against 12-month average of that respective year. An index higher than 100 indicates shopping behavior that month was higher than the average of that year. An index less than 100 indicates shopping behavior that month was less than the average of that year. Planning store layouts and inventory will be more important this year for marketers as consumers return to the stores for Back-to-School shopping needs. What will they buy? Plan for Back-to-School product composition to be like pre-pandemic while you plan your inventory. Keep an eye on local outbreak risk which dictates whether school districts will pivot to remote learning. Product composition during the 2020 Back-to-School season was skewed away from apparel and towards virtual learning materials, such as home office supplies and technology, but should revert to pre-pandemic behaviors. Using ConsumerViewTM Transactional data, we compared consumer product composition during the 2019 and 2020 back-to-school shopping seasons. Children’s Apparel and Accessories: share was smaller in 2020, and was a more dramatic impact for Groups A, B, and D. Books: Groups B and D saw an increased share in 2020, but Groups A and I saw little change. Home Office: share was greater in 2020 for all groups, particularly Group A. Computers: share was greater in 2020 for all segments, particularly Group I Want to learn more? Improve your marketing ROI and grow your business during back-to-school season using Experian’s new Discovery Platform. No sign-up required: watch the demo to learn how retailers like you can use The Discovery Platform™ to track online versus in-store shopping and safely navigate evolving back-to-school consumer behaviors.

Third-party cookies have been a crucial component in people-based advertising and digital identity. With Google's recent announcement of delaying third-party cookie deprecation to 2024, the industry has more time to rethink how to effectively identify and communicate with consumers when the time comes. Preparing for cookie deprecation Solving for the post-cookie world is mission critical, particularly as consumer expectation for a relevant digital experience is heightened. We’ve seen a number of industry participants, including brands, publishers, data providers and technology platforms, work around the clock to find an alternative to third-party cookies—one that amasses the same scale and reach but also maintains consumer privacy. In fact, industry insights echo that sentiment. According to a white paper from Winterberry Group, Collaborative Data Solutions: The Evolution of Identity in a Privacy-First, Post-Cookie World, sponsored in part by Experian, one of the most frequently heard comments was the urgency for the industry to develop post-cookie, privacy compliant solutions that work in a more integrated manner. And if there was one overarching position regarding the research into the future of identity, it’s that collaboration is key. Participants in the white paper expressed that with the elimination of third-party cookies, there will be a surge in collaborative solutions across and within companies to accommodate changes in the digital marketplace. Collaborative data solutions must move beyond new post-cookie identity replacements and encompass more holistic approaches, including first-party data. First-party data sharing Currently, 64.3 percent of organizations in the US collaborate with other organizations to share first-party data for insights, activation, measurement or attribution, and 16.7 percent in the U.S. have plans to. Virtually all US companies surveyed were aware of the option to collaborate with other organizations and expressed openness to discussions around sharing first-party data. What is the solution to third-party cookie deprecation? The deprecation of third-party cookies is creating a shock in the marketing and advertising world because there has been an over-dependence on one type of identifier. Therefore, the solution to identify consumers across the digital ecosystem will not come from a single replacement for third-party cookies. Instead, it will rely on a combination of solutions, including collaborative data between organizations and implementation of proprietary first-party data strategies, as well as a framework that can connect all these touchpoints together. Experian can help you navigate the cookieless future Experian is focused on building a more effective advertising ecosystem that promotes the interoperability of digital touchpoints while enabling and fostering new innovations in a privacy forward way. Contact us today and get started with building connected identity in the ever-changing data landscape. To learn more, watch the recording of our webinar with The Vitamin Shoppe where we discuss identity and how you can drive more addressable audience strategies amidst diminishing data signals.

As today’s digital landscape gets more and more complicated there are more ways for brands to connect with users and drive purchases and more ways for ad tech to target and measure those touch points. As in-person shopping picks up steam due to the re-normalization of society post-COVID 19; the connection between digital ads and in-person purchases needs to be made once again. With the rise of Connected TV throughout the pandemic there are even more digital opportunities to target a user. But how do you make sure that those brand engagements are captured and correctly attributed to offline purchases and conversions? The answer lies in a holistic identity resolution strategy. Cross-device identity resolution with The Tapad Graph connects the identifiers and devices of individuals within a household to each other; enabling targeting, frequency capping, extension, segmentation and measurement or attribution between devices; including Connected TV and hashed (privacy-protected) email addresses along with Cookies, Mobile Ad Ids and IP Address. Brands can join their first-party data to The Tapad Graph to execute strategies that connect online and offline data for pre, mid and post-campaign efficiencies. Let’s imagine a scenario in which an outdoor retail brand is targeting users watching specific content on a Connected TV device. Powered by identity resolution, they start with a general ad on CTV and continue targeting down individual paths with each user. When one of them converts in store and makes a purchase; the outdoor retailer can connect that action through location and in-store traffic data with the cross-device identity resolution used to execute the digital campaign. Now the actions of the user online and offline are resolved for more accurate measurement and attribution after the campaign ends. But it doesn’t stop there– the brand's CRM data can be reactivated for the next digital campaign and leveraged to capitalize on the most effective media mix for the user who made the purchase previously. These combined insights can be invaluable in shaping up future campaign strategies with geo-contextual ads, recommended additional products and personalization to help drive more conversions and purchases in-store or online. As in-person shopping picks back up and marketers are tasked once again with balancing online and in-store KPIs, the right identity resolution strategy can unlock necessary efficiencies for retailers, ad tech vendors and agencies tasked with supporting these initiatives. Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!