Here are five data breach statistics that you should know, along with some tips on how to protect your business.

As credit volumes recover from lows observed in 2021, lenders face new challenges – from increasing demand in customer expectations, to heightened competition, market volatility and a fierce war on talent. Many lenders have incorporated the foundational elements of credit analytics and seen significant initial returns. Now, it’s time for lenders to unlock even greater growth opportunities and operational efficiencies by exploring AI-powered solutions. Experian presented on a recent webinar hosted by Lendit Fintech, where Srikanth Geedipali, Senior Vice President of Global Analytics and AI for Experian, joined a panel of industry experts with representation from OPY and Citibank, to speak on how lenders can differentiate themselves by unlocking the power of advanced technologies such as AI and ML to address these emerging challenges. Watch the full webinar, NextGen Applications of AI in the Credit Lifecycle, and learn more about: Emerging trends in the AI/ML space that will drive innovation and differentiated solutions Use-cases for AI/ML across the lending lifecycle and how to leverage MLOps to industrialize analytics and improve speed and agility of decision-making How advanced technologies have driven impact for lenders of all sizes     This webinar is a part of Lendit Fintech’s webinar series. To learn more about how leveraging AI/ML can help optimize your lending strategies, contact us today. Learn more about Ascend Intelligence Services

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.

Here are five data breach statistics that you should know, along with some tips on how to protect your business.

As credit volumes recover from lows observed in 2021, lenders face new challenges – from increasing demand in customer expectations, to heightened competition, market volatility and a fierce war on talent. Many lenders have incorporated the foundational elements of credit analytics and seen significant initial returns. Now, it’s time for lenders to unlock even greater growth opportunities and operational efficiencies by exploring AI-powered solutions. Experian presented on a recent webinar hosted by Lendit Fintech, where Srikanth Geedipali, Senior Vice President of Global Analytics and AI for Experian, joined a panel of industry experts with representation from OPY and Citibank, to speak on how lenders can differentiate themselves by unlocking the power of advanced technologies such as AI and ML to address these emerging challenges. Watch the full webinar, NextGen Applications of AI in the Credit Lifecycle, and learn more about: Emerging trends in the AI/ML space that will drive innovation and differentiated solutions Use-cases for AI/ML across the lending lifecycle and how to leverage MLOps to industrialize analytics and improve speed and agility of decision-making How advanced technologies have driven impact for lenders of all sizes     This webinar is a part of Lendit Fintech’s webinar series. To learn more about how leveraging AI/ML can help optimize your lending strategies, contact us today. Learn more about Ascend Intelligence Services

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.