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It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.Paragraph Block- is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
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of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
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The automotive marketing world has benefited from cookie-based information to help identify and reach consumers in the market for a vehicle. Now that cookies will be going away, marketers need to find alternate ways to find in-market consumers. Let’s explore. What are cookies? Created to personalize internet browsing experiences, cookies are small pieces of code placed within a user’s browser whenever someone visits a specific website. Cookies typically track the website’s name and a generated unique user ID. They can capture page clicks, viewed web pages, clicks within a website, and Personally Identifiable Information (PII) such as an address, name, and device IDs. How are cookies used in marketing? Cookie data helps automotive marketers enhance the user experience by better understanding consumer behaviors to deliver targeted, relevant messaging that moves the consumer through the buying funnel. For example, think about when a consumer researches RVs/travel trailers to see if their current vehicle can handle towing a camper or when they search for the best way to hook up a camper. A dealer could use this cookie data to send advertisements for trucks with a towing package that could potentially tow a trailer. Cookie support is ending, so now what? In 2020, Google announced it would end support for cookies in the Chrome browser by early 2022. This timeline was established to allow Google to address the needs of users, publishers, and advertisers to respond and look for workarounds. The revised timeline puts Google’s cookie retirement in 2023. Marketers have been using cookie data in advertising for years, so what are the options when cookie data goes away? Cookie alternatives Automotive marketers can tackle a cookie-less world by using other sources of consumer data insights. For instance, a third-party data aggregator, like Experian, has access to numerous sources, platforms, and websites. Beyond that, we have access to a vast range of specific consumer data insights, including vehicle ownership, registrations, vehicle history data, and lending data. We take all that information and help marketers segment audiences and predict what consumers will do next. (That’s more than the average cookie!) Sample audience segment information: Consumers in market Loan status In positive equity Driving a specific year/make/model 1000+ lifestyle events such as new baby, marriage, new home Geography, demographics, psychographics To take it to the next level, we can use predictive analytics to go beyond what cookie data could provide by predicting who is ready to purchase a vehicle. In our example above, a marketer used cookie data to find buyers who had shown interest in a tow package, but that’s where it ended. By combining audience segmentation with a predictive model, marketers can target and identify consumers in-market and most likely ready to purchase a vehicle with a tow package. In this way, the data-driven insights from a third-party data provider specializing in automotive insights can replace the cookie-driven approach and take it a significant step beyond. Other ways to reach consumers in a cookie-less world Automotive marketers can also use data-driven insights to further explore specific channels where consumers spend their time. Social media, for example, is an effective channel to reach consumers. Marketers can go beyond standard Facebook audiences by utilizing Experian audience segmentation and predictive analytics to highly target consumers on Facebook. So, if you can predict when a consumer will be in-market, and you know in what channel they spend most of their time, you can target them with specific messages about your dealership and your vehicles. With cookies becoming a tool of the past, knowing who is likely to be in-market, what message resonates with them, and the best channel to use allows marketers to move beyond cookie-based strategies effectively. So, let the cookie crumble! For a deeper dive into cookies, watch this recorded webinar from the 2021 Digital Marketing Strategies conference: As the Cookies Crumble, How Will Automotive Digital Marketing Respond? Presented by Experian's Amy Hughes, Sr. Director of Dealer Intelligence. Learn more about Experian’s Automotive Intelligence Engine and how audience segmentation and predictive analytics can drive more in-market buyers to your dealership.

There are many ways to promote a more equitable society – including financial inclusion or reducing the racial wealth gap for underserved communities.

As more consumers apply for credit and increase their spending1, lenders and financial institutions have an opportunity to expand their portfolios and improve profitability. The challenge is ensuring they’re extending credit responsibly and inclusively. Millions of Americans, many of whom are creditworthy, lack access to mainstream credit options. This may be because they have limited or no credit history, negative information within their credit file, or are a part of a historically disadvantaged group. To say “yes” to consumers they otherwise couldn’t or wouldn’t lend to, lenders must gain a deeper understanding of an individual’s stability, ability and willingness to pay. That’s where expanded FCRA-regulated and trended data come in. While traditional credit data has long been the primary means of gauging creditworthiness, it doesn’t tell the full story of a consumer’s financial situation. Let’s explore how differentiated data can help lenders make more informed credit decisions. Using differentiated data for deeper lending Expanded FCRA-regulated data provides supplemental credit data to help lenders gain a more holistic view of their current and prospective customers. Some examples of expanded FCRA-regulated data include alternative financial services data from nontraditional lenders, consumer-permissioned account data, rental payments and full-file public records. Because this data drives greater visibility and transparency around inquiry and payment behaviors, lenders can more accurately determine a consumer’s ability to pay and distinguish between reliable and high-risk applicants. In turn, lenders can approve more creditworthy consumers, grow their portfolios and increase financial opportunities for underserved communities, all while preventing and mitigating risk. 89% of lenders agree that expanded FCRA-regulated data allows them to extend credit to more consumers. Trended data empowers lenders with predictive insights into consumers by providing key balance and payment data for the previous 24 months. This is important as lenders can determine if a consumer’s credit behavior has improved or deteriorated over time. In turn, lenders can: Identify creditworthy customers: Establish if a consumer has a demonstrated ability to pay, is consistently paying more than the minimum payment, or shows no signs of payment stress. Increase response rates: Match the right products with the right prospects. Determine upsell and cross-sell opportunities: Present relevant offers based on anticipated needs and behaviors. Limit loss exposure: Understand the direction and velocity of payment performance to effectively manage risk exposure. Trended data helps lenders better predict future behavior, manage portfolio risk and design the best marketing offers. Turning insights into action Together, trended and expanded FCRA-regulated data benefit lenders and consumers alike. With a more holistic view of their customers, lenders gain powerful insights to lend deeper, ultimately helping them to expand their portfolios and drive greater access to credit for underserved communities. Learn more 1 The Recovery of Credit Applications to Pre-Pandemic Levels, Consumer Financial Protection Bureau, 2021.
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typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


