Marketing data and identity

Swiss Sense’s mission is to provide exceptional sleep comfort for all. The European retailer analyzed their customer data in one market to better understand their ideal customer profile and scale these learnings to other markets. To achieve this, Swiss Sense used Experian’s Mosaic® data, a profiling tool that segments households into categories based on their lifestyle, interests, and demographics. Using Mosaic data, Swiss Sense identified key customer personas and tailored their communications to match. Partnering with Experian, they created personalized product recommendations and delivered targeted messaging through direct mail, out-of-home (OOH) advertising, and leafleting campaigns. What is Mosiac? Experian’s Mosaic data helps businesses understand their customers better by grouping households into segments based on their lifestyles, interests, and financial situations. It gives marketers a clear picture of who their customers are, so they can create more targeted campaigns. Challenge: Utilize data-driven insights to drive market-specific growth strategies Swiss Sense wanted to expand its presence across all of its markets. To achieve this, they analyzed customer data in the Netherlands to identify their ideal customer profiles and replicate their success in other regions. Their objectives included: Develop regional strategies Integrate data-driven insights into their local and international marketing strategy The solution to achieve data-driven marketing Swiss Sense saw that Experian could provide a data-driven view of customers in other countries using both Global and local Mosaic profiles. They chose Experian as their partner to ensure a persona-based segmentation across multiple countries. This partnership allowed Swiss Sense to: Gain consistent customer insights across all operational markets.  Equip marketing and operational teams with precise data for targeting and personalization. Drive adoption of the segmentation strategy by giving end users access to a bespoke dashboard with the data. Results: Driving targeted marketing and personalized experiences with Mosiac By partnering with Experian, Swiss Sense was able to seamlessly implement a solution tailored to their unique needs. Swiss Sense gained an overview of its customer base while using the more granular Mosaic data in each country to gain the optimal understanding of each region’s customers.  These insights helped Swiss Sense’s marketing team, allowing them to craft targeted customer content, suggest relevant imagery, and adopt the right tone of voice. Identifying key Mosaic growth segments further enabled Swiss Sense to focus marketing efforts on regions and cities over-indexing for their ideal customer types. This led to the execution of highly targeted offline campaigns, including: Direct mail flyers delivered to target audiences’ homes OOH advertising in cities where key segments over-index Distributing leaflets in public places such as target town centers Download our case study for the full details of Swiss Sense’s journey to international growth.  Download the full case study now Contact us About Swiss Sense Founded by the Diks family in 2006, Swiss Sense is a Dutch family-owned retailer specializing in high-quality beds, mattresses, and bedroom accessories. With over 2,000 employees and stores across multiple European countries, Swiss Sense is dedicated to providing exceptional sleep comfort for all. To learn more, please visit www.SwissSense.nl. Latest posts

Suppose you're watching your favorite TV show, and an ad suddenly catches your attention. It urges you to take immediate action, whether to call a number, visit a website, or text a keyword like ‘DETAILS’ to a specific number for more information. This is direct response television (DRTV), a powerful form of advertising available on all TV types — including live, cable, and streaming — that directly connects brands with consumers to drive immediate engagement and measurable results.

Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. Explore our identity solutions Contact us Latest posts

Originally appeared on Total Retail Retail media networks (RMNs) continue to demonstrate how they can be a powerful monetization driver for retailers, creating a win-win-win for everyone involved. Retailers can monetize their valuable first-party data as well as their online and in-store inventory, while customers benefit from timely, relevant content that enhances their shopping experience. At the same time, advertisers can reach highly targeted audiences at critical moments near the point of purchase Achieving this type of success requires overcoming challenges around fragmented and incomplete first-party data, which can limit a retailer's ability to organize and use their data effectively. Additionally, many RMNs lack the analytical capacity to generate customer insights, build addressable audiences, and accurately measure success. To realize the full potential of their platforms, RMNs need partners that provide complementary data, strong identity solutions, and the expertise to transform insights into actionable strategies. This allows RMNs to drive winning outcomes for themselves, marketers, and their customers. Here are the five steps an RMN should consider when selecting the right partner. 1. Build an identity foundation First, the right partner needs to be able to organize and clean customer data. Given the millions of customer records and data points that a retailer has, RMNs need to make sure their data is highly usable. Whether it is a known customer record or an unknown customer with incomplete data, partners should fill in missing information and connect fragmented customer records to a single profile. For example, RMNs need to know that a purchase made in-store is by the same customer who bought online. The best partners will then organize those profiles into households since targeting (and purchasing) is often done at the household level. Without a strong identity foundation future steps of segmentation, insights, audience creation, and activation will not be successful. Experian identity Experian's identity solutions provide RMNs with a comprehensive and accurate view of their customers across both offline and digital environments. We clean an RMN's first-party data and organize their customer records into households since targeting is often done at the household level and purchases are made at the household level. Using Experian's Offline and Digital Graphs we work with the RMN to fill in the missing information they have on their customers (e.g. name, address, phone number or digital IDs like hashed emails, mobile ad IDs, CTV IDs, Universal IDs like UID2 or ID5 IDs). This ensures that the retailers' entire customer base can be reached - and measured - across devices and channels. 2. Segment your customers An RMN’s ability to segment its customer base and derive insights depends on the availability and usability of their data assets – not to mention some serious analytical chops. Some RMNs will split their customers into different product segments based on what’s relevant to an advertiser. For example, a home improvement retailer may segment customers by who is buying DIY supplies versus improvement services.  Other RMNs may develop custom segments from their customer data and third-party data sources, so that advertisers can personalize their marketing based on life stage, age, income level, geography, and other factors. Either approach is effective but requires working with a partner who has high quality data and deep analytical expertise to develop those segments. Segment with Experian Experian Marketing Data helps an RMN learn about their customer beyond their first-party data. With access to 5,000 marketing attributes, RMNs can fill in the holes in their understanding of a customer. We provide them with demographic, geographic, finance, home purchase, interests and behaviors, lifestyle, auto data and more. RMNs can use this enriched data set to create addressable audience segments. 3. Generate actionable insights about these segments Once the RMN determines how they will segment their customers, they can utilize demographic, attitudinal, interest, and behavioral data from a trusted partner to develop a customer profile that compares its customers against a relevant sample of consumers. Here, the RMN will gain insight that will help them answer questions about its customers. Examples include:  What age and income groups are more likely to purchase my product? What is the current life stage of my customers – do they have children, are they married, are they empty-nesters? Is price or quality more important to customers in their decision-making process? What sort of activities do my customers enjoy? How frequently do my customers shop for similar merchandise? What media channels do my customers use to get their information? Expanded insights with Experian With Experian’s advanced customer profiling, RMNs can go beyond basic customer segmentation. We build detailed customer profiles by utilizing accurate, attribute-rich consumer data, so RMNs can gain a more comprehensive understanding of their customer’s preferences, life stages, and purchasing behaviors.  Having this insight enables the RMN to: Design a targeted email campaign promoting home essentials to recently married new homeowners. Develop a social media post announcing the opening of a new hardware store to users within a specific location interested in do-it-yourself products. Create brochures and flyers at a local community event tailored towards parents with small children that promote equipment for youth sports leagues. 4. Create high quality lookalike audiences The RMN now knows what distinguishes their customers from other consumers and can create audiences that enable advertisers to run personalized marketing campaigns at scale. RMNs can do this in several different ways: Work with a data provider who can create custom audiences for the RMN (e.g., Ages 40-49 and Leisure Travelers and past purchase of travel item) These custom audiences are created by joining multiple first- and third-party data attributes found to be significant in the customer profile or using machine learning techniques to develop a custom audience unique to the advertiser.   Custom audiences with Experian With an enriched understanding of their customers, RMNs can create addressable custom audience segments, including lookalike audiences, for advertisers. 5. Expand addressability of audiences and activate on multiple destinations Once audiences are created, RMNs will want to increase a marketer’s reach across on-site and off-site channels. With the right identity graph partner, an RMN can add digital identifiers to customer records that enable activation across media channels, including programmatic display, connected television (CTV), or social. RMNs should work with identity providers that are not reliant on third-party cookies. They should select partners that offer more stable digital IDs in their graph like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and universal IDs like Unified I.D. 2.0 (UID2). Experian powers data-driven advertising through connectivity Using Experian's Digital Graph, RMNs expand the addressability of their audiences by assigning digital identifiers to customer records. Marketers will be able to reach an RMNs customers onsite as well as offsite since Experian provides several addressable IDs. Audiences can be activated across an RMNs owned and operated platform as well as extended programmatically to TV and the open web through Experian's integrations across the ecosystem. Maximize your RMN’s revenue potential with Experian Organizing customer data, segmenting customers, generating insights, creating addressable audiences, and activating campaigns are all critical steps for an RMN to realize that revenue potential. RMNs should select a partner that provides the data, identity, and analytical resources to create the winning formula for marketers, customers, and retailers.  Experian’s data and identity solutions are designed to help RMNs maximize their revenue potential. Reach out to our team to discover how we can support your path to RMN success. Connect with us Latest posts

Originally appeared on MediaPost As the digital ecosystem becomes more complex, managing multiple identifiers for consumers has emerged as a significant challenge. From cookies and IP addresses to mobile IDs and universal IDs, marketers and platforms face increasing difficulty in maintaining a unified view of their consumers. Without a coherent identity strategy, campaigns can suffer from poor targeting, limited personalization, and flawed attribution. Experian understands these challenges and offers solutions to help our partners navigate the complexities of a multi-ID landscape. By utilizing both digital and offline data, we provide the tools to unify fragmented identifiers and maintain a persistent view of consumers. As a result, marketers and platforms get rich insights, accurate cross-device targeting, improved addressability, and measurable advertising. The shifting identity landscape For years, the industry has relied on cookies to identify consumers across devices and platforms. However, with ongoing signal loss, including the uncertainty around cookies, and the evolution of privacy regulations, the digital identity landscape has grown more complicated. As consumers hop from one device to another, they are now represented by multiple signals, each tied to a different aspect of their digital behavior. While this shift brings complexity, it also opens the door for innovation. Marketers and ad platforms now have the opportunity to rethink their identity strategies and adopt more flexible approaches that are not reliant on a single identifier. This is where Experian comes in. Connecting the dots: A holistic view of the customer journey Our identity solutions are designed to help manage today’s multi-ID ecosystem by connecting digital and offline identifiers to a single customer profile. This creates a unified view of the consumer, and when combined with our understanding of customer behavior (e.g. demo, interests, shopping patterns) marketers and platforms get both insights about their customers and the addressability to reach them across channels. Four examples of what you can do with a strong identity foundation If an advertiser wants to make its first-party data more addressable, it can utilize our Digital Graph with universal IDs, hashed emails (HEMs), and connected TV (CTV) IDs to extend its reach. A publisher who wants to gain further insights into their audiences and create private marketplaces (PMPs) can achieve this goal with the use of our Digital Graph with hashed emails, universal IDs, mobile ad IDs (MAIDs), CTV IDs, and IPs. The publisher can use this in concert with Marketing Attributes to understand age, gender, household income, buying behavior, and more. The publisher can connect marketing attributes to the Digital Graph via our Living Unit ID (LUID) to understand more about consumers that fall into their segments. A demand-side platform (DSP) who wants to extend first-party and third-party audience reach across all digital devices on their platform will use the Digital Graph with all digital IDs to allow users of their platform to select cross-device extension against first-party and third-party audiences. A retail media network (RMN) can use our Offline and Digital Graphs to connect in-store and online purchases to a household profile—even when purchases are made by different people. The RMN can then reach that household across digital media platforms and accurately attribute the in-store purchase back to digital ad exposure.  Identity as a strategic asset: Today and in the future In our paradoxical world where consumers are represented by multiple identifiers, yet marketers and platforms face signal loss, identity is more than a technical issue—it’s a strategic asset. The ability to unify identity data into a single profile provides marketers with the customer intelligence needed to drive growth and stay competitive. Here’s how we do it: Deep, persistent customer understanding: With roots in offline, deterministic data like names, addresses, and emails, we provide an accurate and persistent view of identity to our customers. This allows you to maintain a consistent and comprehensive understanding of your customers and their marketing attributes over time. Highly accurate and refreshed digital identities: Our signal-agnostic graph is not reliant on any one signal as it includes HEMs, cookies, MAIDs, IPs, Universal IDs, and CTV IDs. Our Digital Graph is updated weekly, ensuring the data is always fresh and addressable. This persistent linkage of individuals and households to their identifiers and devices means your campaigns are always targeting the right people. Connected offline and digital graphs for holistic insights: We connect offline and digital identities by following privacy-first best practices, such as preventing re-identification, to allow insights from the offline world to be used in the online world. This integrated approach, enriched with marketing data, gives you better insights, more addressable advertising, and the ability to engage customers across multiple devices while accurately measuring campaign impact. Transform challenges into opportunities The rise of the multi-ID landscape presents both challenges and opportunities for the advertising industry. We stand as the trusted partner to navigate this complexity, utilizing insights from the offline world to inform decisions in the online world, enabling personalized marketing and accurate attribution, and helping you achieve your current and future goals. Get started today Latest posts

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 Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, programmatic advertising platforms, and directly within Audigent for activation within private marketplaces (PMPs).   Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes.   Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent for activation in PMPs and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. 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 OracleExperian audienceAudiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > SUVs and CrossoversAutos, Cars and Trucks > In Market-Body Styles > SUV and CUVAudiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > Trucks > Mid-Size Pickup TrucksAutos, Cars and Trucks > In Market-Body Styles > Mid-Size TruckAudiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > Trucks > Full-Size Pickup TrucksAutos, Cars and Trucks > In Market-Body Styles > Full-Size TrucksAudiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > SUVs and Crossovers > SUVs > Small to Mid-Size SUVAutos, Cars and Trucks > In Market-Body Styles > Small Mid-Size SUVAudiences by Oracle > Auto, Cars and Trucks > In-Market > Body Styles > SUVs and Crossovers > SUVsAutos, Cars and Trucks > In Market-Body Styles > SUVAudiences by Oracle > Financial Services > Insurance > In-Market > Auto InsuranceLifestyle and Interests (Affinity) > In-Market > Auto InsuranceAudiences by Oracle > Auto, Cars and Trucks > Merchant Category Audiences > Auto Insurance High SpendersRetail Shoppers: Purchase Based > Automotive (Cars & Trucks) > Auto Insurance: High SpendersOracle BlueKai > In-Market > Auto, Cars and Trucks > Condition > Used Cars > More than 5 years oldAutos, Cars and Trucks > In Market-New/Used > Used car 6+ yearsAudiences by Oracle > Auto, Cars and Trucks > In-Market > Condition > Used > Less than 5 years oldAutos, Cars and Trucks > In Market-New/Used > Used car 0-5 yearsOracle BlueKai > In-Market > Auto, Cars and Trucks > Classes > Cars > Compact and Sub-Compact CarsAutos, 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 OracleExperian audienceAudiences by Oracle > Hobbies and Interests (Affinity) > Pets > DogsLifestyle and Interests (Affinity) > Pets > Dog OwnersAudiences by Oracle > Hobbies and Interests (Affinity) > Pets > CatsLifestyle and Interests (Affinity) > Pets > Cat OwnersAudiences by Oracle > Hobbies and Interests (Affinity) > Health and Fitness > ExerciseLifestyle and Interests (Affinity) > Health & Fitness > Fitness EnthusiastOracle DLX (Datalogix) > DLX Finance > InvestorsLifestyle and Interests (Affinity) > Investors > Active InvestorAudiences by Oracle > Lifestyles > Merchant Category Audiences > Sports LoversLifestyle 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 audienceAudiences 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 OwnersDemographics > Homeowners/Renters > HomeownerAudiences by Oracle > Demographics > Age Groups > Adults 25-54Demographics > Ages > 25-54Audiences by Oracle > Demographics > Gender > FemalesDemographics > Gender > FemaleAudiences by Oracle > Demographics > Validated Demographics > Age Groups > Adults 25-54 > Females 25-54Demographics > Ages > Female 25-54Audiences by Oracle > Demographics > Age Broad > Ages 40-49Demographics > Ages > 40-49Audiences 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 OracleExperian audienceAudiences by Oracle > Restaurants > Merchant Category Audiences > In Store QSR Fast Food Frequent SpendersRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR QSR Frequent SpendersAudiences by Oracle > Restaurants > Merchant Category Audiences > QSR Chicken Frequent SpendersRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Chicken Frequent SpendersAudiences by Oracle > Restaurants > Merchant Category Audiences > QSR Burgers Frequent SpendersRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Burger Frequent SpendersAudiences by Oracle > Restaurants > Cuisine Type > SandwichesRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Fast Food/QSR Subs and Sandwich Frequent SpendersAudiences by Oracle > Restaurants > Dining Type > Casual DiningRetail Shoppers: Purchase Based > Food and Drink > Restaurants: Casual Dining Frequent SpendersAudiences by Oracle > Restaurants > Dining Type > Coffee Shops and CafesRetail 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.  Connect with our audience team Download our audience lookbook to discover more about Experian’s audiences. Contact us Latest posts

Cuebiq’s mission, as an offline intelligence and measurement company, is to quantify how digital marketing impacts offline consumer behavior. This case study shows how Cuebiq partnered with Experian to continue delivering in-store lift analyses despite signal loss. To achieve this, Cuebiq used Experian’s Activity Feed to resolve digital ad exposures to mobile ad-IDs, so that marketers could know the effectiveness of their media campaigns on in-store visits and purchases.  Even as Google backs away from third-party cookie deprecation, the need for flexible, future-proof identity solutions remains. By partnering with Experian, Cuebiq could help their clients more accurately measure their campaigns and optimize their media.    Challenge: Increasing match rates across digital platforms Cuebiq wanted to enhance how well they connect digital ad exposures, across web, mobile, and connected TV (CTV), to mobile ad IDs (MAIDs), of consumers who visited their clients’ stores. They needed a single technology partner who could collect data across these environments and improve these connections.  With the ability to resolve exposures to households, individuals, and MAIDs to then facilitate attribution of digital exposures to offline store visitation, Cuebiq could continue to provide accurate reports on how digital ads impact offline consumer behavior. This clarity in data enables their clients to fine-tune their marketing strategies.   Cuebiq’s key objectives included:   Resolving digital exposures to MAIDs Increase overlap of offline and online data Improving the effectiveness of offline measurement offerings  Activity Feed: The solution to increase match rates Experian’s Activity Feed pulls together fragmented digital event data from all digital channels, including browsers like Safari and Firefox that restrict traditional tracking methods. Activity Feed ingests and ties digital ad exposure and website activity data to household or individual profiles hourly, helping client's associate ad exposures to impact by a household or individual. Activity Feed plays a crucial role in overcoming fragmented data and helping marketers accurately measure their cross-channel marketing efforts.   Cuebiq used Activity Feed to resolve exposure data from all environments, even cookieless ones, to a single household or individual and saw significantly higher match rates. Cuebiq received their clients’ ad exposure data resolved to mobile ad IDs (MAIDs) and correlated it to their clients’ in-store visitation and sales. To do so, Cuebiq implemented the Experian pixel, which they placed to track all their marketers’ impressions (mobile, CTV, web traffic, etc.). The Experian pixel collects information in real-time, such as:   Timestamp Cookies Device ID (MAID/CTV) when available IP address User-Agent Impression ID “Before we started working with Experian, we couldn’t fully maximize ad views across the complex digital landscape. In just a few weeks, they were able to maximize the match rate across the fragmented digital inventory, solving a huge problem when it comes to cross-channel attribution.” Luca Bocchiardi, Director of Product, Cuebiq Results Activity Feed combines separate data streams and matches them back to a household. This enables Cuebiq to expand household IDs and accurately identify MAIDs that are seen in-store for cross-channel measurement. Over a 21-day period, Cuebiq passed ~1 billion events to Experian. Activity Feed resolved 85% of total events to a household, 91% of which were tied to MAIDs.   By implementing Activity Feed, Cuebiq was successfully able to: Gain clearer insights into the success of their client‘s campaigns  Match consumer engagements in a privacy-compliant manner Tell the story of the key performance indicators (KPIs) related to their marketing efforts  A solution for measurement across cookied and cookieless environments Activity Feed is prepared for whatever the future of signal loss holds in store, capable of using third-party cookies and alternative IDs, like UID2.0s, ID5 IDs, hashed emails, and IPs for identity resolution. Experian remains fully committed to exploring a suite of next-generation solutions and prioritizing continued testing of different industry solutions to help customers maintain consumer visibility amidst signal loss. We’ve identified six viable alternatives to third-party cookies, how these alternatives fall short, and how Experian can help you navigate these alternatives.   “Experian’s customer service is extremely efficient and collaborative. We trust them to keep putting our business first long-term.”Luca Bocchiardi, Director of Product, Cuebiq Download the full case study to discover how Cuebiq used Activity Feed to overcome their challenges. Your path to maximizing match rates and resolving data from cookieless environments starts here.  Download the full case study Contact us About Cuebiq Cuebiq is transforming the way businesses interact with mobility data to providing a high-quality and transparent currency to map and measure offline behavior. They are at the forefront of all industry privacy standards, establishing an industry-leading data collection framework, and making it safe and easy for businesses to use location data for innovation and growth. To learn more, visit their website at www.cuebiq.com Latest posts

Retail media networks (RMNs) rank among the fastest-growing media channels. According to eMarketer, retail media spend is forecasted to account for more than a fifth of overall digital spending in 2025, and retail media spend will grow by 21.8%. For RMNs, the path to realizing this opportunity is marked by navigating through a series of critical stages, each with its own set of challenges and solutions. Retail media strategies Simply put, RMNs need to know who their customers are, where they are, and how to reach them to succeed. But we know nothing is that simple. This blog post reviews the three pivotal stages of RMN success, offering a roadmap for networks aiming to optimize their operations and claim their share of the rapidly growing category. Stage 1: Develop a data foundation In a world where traditional tracking methods are fading, first-party data has become essential for targeted advertising. Retailers have a wealth of this valuable data due to their direct consumer relationships. The initial step in establishing an RMN is to organize and utilize this data effectively. Steps to develop a data foundation: Organize data: Bring together fragmented shopper data, loyalty program information, and other customer data into a unified location. Clean and deduplicate this data to create consistent customer profiles. Enhance profiles: Gain insights into your customers and your brand’s customers so you can learn who your best, lapsed, and non-customers are. Append additional attributes to your shopper data, including media consumption habits, lifestyle preferences, demographic information, and more. Use identity graphs: Identity providers, like Experian, enable you to learn about the anonymous – and known - visitors on your platform and organize disparate customer data points into households. This will allow RMNs to connect addressable identifiers to the household, making it easier to reach customers across channels. Create audience segments: With a solid data foundation, RMNs can build audience segments beyond basic shopper data. These segments will make your data more attractive and actionable for media buyers. For example, consider a retailer that knows its shoppers are primarily young professionals, but a CPG brand wants to target not only these shoppers but also young professionals who are parents. By partnering with an identity solution provider like Experian, the retailer can append additional data to identify and target the young parents within their existing customer base, enabling the CPG brand to reach both audience segments effectively. “Retail media networks thrive on clean, accurate, and actionable data. Simply put, it's crucial to know who your customers are, when they're most engaged, and where to reach them to drive effective marketing strategies and maximize ROI.”anne passon, sr. director, sales, retail Stage 2: Become a publisher for optimal retail media growth The next step for RMNs is to transition from building a data foundation to helping marketers reach their target audience, essentially becoming a publisher. This involves two main processes: organizing advertising inventory and connecting it to demand. Steps to become a publisher: Audit and organize inventory: Conduct a thorough review of all existing ad spaces, including websites, apps, and in-store placements. Identify gaps and consider creating new advertising opportunities, such as website and app features, interactive digital experiences, or expanded in-store touchpoints. Connect inventory to demand: Integrate the organized inventory with platforms, allowing advertisers to access it easily. This often involves using supply-side platforms (SSPs) and demand-side platforms (DSPs). Continuing with our example, the CPG brand can work with its DSP or SSP partners and easily access your ad inventory, and effectively target the young professional and young parent audience segments. Stage 3: Scale inventory for retail media growth As RMNs progress to the final stage of their success journey, they may face the challenge of limited inventory within their owned and operated (O&O) channels. To meet marketers' expansive reach requirements and to continue to drive growth and profitability for their organizations, RMNs must expand their inventory beyond O&O. Steps to scale inventory: Utilize data collaboration tools: Clean rooms allow secure merging and enrichment of data from various sources, creating richer audience profiles while maintaining privacy. Resolve identity and enhance addressability: Identity graphs help resolve known customer identifiers (e.g. emails) into addressable IDs (e.g. mobile IDs and connected TV IDs), which can be used to reach customers across all the platforms they consume media. Expand audience reach: Onboarders, like Experian, help extend data and audiences to programmatic destinations beyond a retailer's O&O inventory. By mapping audiences to digital identifiers maintained by identity partners, RMNs can significantly widen their reach, meeting advertisers' needs for engaging with broader and more diverse audience segments. The CPG brand can now reach young professionals and young parents on the retailer’s platform and in all the other places where they consume media, like watching their favorite shows on connected TV (CTV) or browsing the web on their phones. Measurement across stages for retail media growth Measurement is crucial and must be conducted during and after a campaign to understand and validate performance. Here are two types of measurement to consider: Cross-device campaign measurement: Measure performance by connecting an ad exposure in one environment (e.g. CTV) to an action in another (e.g. mobile purchase). This holistic, cross-device approach requires a partner for identity resolution as it will ensure that the impact of a campaign is fully understood. Aggregate performance analysis: Understand performance in aggregate across several campaign studies. Receive independent third-party measurement validation that you can promote to advertisers to drive increased spend. For our CPG brand, these measurement reports ensure that they can track the performance of their campaigns from the initial exposure on a CTV to the final purchase made on a mobile device, providing comprehensive insights and validation of their advertising strategy. The retailer can aggregate these studies and promote their network’s effectiveness to prospective advertisers. Accelerate retail media growth with strategic partnerships The journey through the stages of RMN success is riddled with deep technical challenges that are often beyond the institutional capabilities of non-media businesses. The intricacies of data management, audience insights, identity resolution, precise cross-device targeting, and measurement require specialized expertise and technologies that may not be readily available in-house. RMNs stand to benefit from forging strategic partnerships with companies that possess not only the necessary technological tools but also a profound understanding of the media landscape. The steps outlined here will accelerate your growth and ensure you capitalize on the opportunity in front of you. Connect with a member of our team to learn how we can support your journey toward RMN success. Contact us to enhance your retail media strategies Latest posts

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 Credit card personality – Used to identify consumers based on their credit card usage and behaviors. 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 Investments financial personality – Audiences to help understand a consumer’s comfort and behaviors with making financial investments. 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 Mortgage financial personality – Audiences to help understand a consumer’s behavior and preferences with mortgages. 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 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) 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 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 Mortgage refinance (FLA/Fair Lending Friendly) – Predicts the likelihood the consumer is to refinance their mortgage. Consumer Financial Insights > Mortgage Refinance Contact us 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