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Signing new residents is not just about offering the right apartment home at the right price. Granted, that's obviously a huge part of the equation, but operators also need to provide prospective residents with a seamless shopping and leasing experience. If potential renters encounter any friction or hardships during this time, they are likely to take their home search elsewhere. Today's prospective renters want to be able to tour and gather information about apartments on their own time, and they want a quick "yes" or "no" after completing their lease application. With that in mind, automated income and employment verification – among other tools and solutions like self-guided and virtual tools, chatbots, and automated form fills, is one of the main features and technologies operators should consider implementing if they haven't already done so, to ensure we are meeting the renter where they are. Automated verification of identity, income, assets and employment For leasing managers, automated technology eliminates the need to manually collect the documents required to verify a prospect's self-reported information, which can be a tremendously time-consuming task that extends the overall leasing timeline and increases the exposure due to unoccupied units. Automated verification also reduces the opportunity for bad-faith applicants to submit fraudulent documents related to their financials or employment history. The best part about verification is the variety of options available; leasing managers can pick and choose verification options which meet their needs without breaking the tenant screening budget. Experian has multiple verification solutions and use cases to compare which one may work best for your community. The Experian difference To learn more about our suite of rental property solutions and ways we support the tenant screening process with data-driven insights, and verifications, please visit us at www.experian.com/rental. This article was originally published on MFI. Read more on MFI for a detailed look at additional tools and technologies operators should consider.

Electric vehicles (EVs) are sustaining prominence throughout the automotive industry, and data from the second quarter of 2023 shows registrations are still on the rise. According to Experian’s Automotive Consumer Trends Report: Q2 2023, 7.50% of new vehicle registrations were EVs, resulting in more than 2.7 million EVs in operation in the US, an increase from the approximate 1.7 million this time last year. Though, despite the continued growth in EV popularity, data found that 85% of EV owners also have a gas-powered vehicle in their household garage and 11% have a hybrid vehicle. It’s possible that majority of consumers prefer to have a secondary vehicle for comfortability, considering charging stations aren’t as accessible in some states and gas operated vehicles offer more miles. That said, it’s important for automotive professionals to have additional insight when helping consumers find a vehicle that fits their lifestyle, such as if they have plans to keep another vehicle in addition to their EV and the type of vehicle they’re interested in. Luxury EVs dominate market share When looking at new EV registrations by vehicle class in the last 12 months, luxury EVs accounted for 77.73%, while non-luxury made up the remaining 22.67%. It’s notable that Tesla led the luxury EV registration market share in Q2 2023 at 81.61%, followed by BMW at 4.42%, Rivian at 3.76%, Mercedes-Benz at 3.27%, and Audi coming in at 2.52%. For non-luxury EVs, Chevrolet accounted for 24.21% of new registration market share this quarter and Ford was not far behind at 24.00%, followed by Volkswagen at 15.77%, Hyundai at 15.22%, and Kia at 9.17%. Breaking the data down further, Tesla made up four of the top five models for luxury EVs in Q2 2023, which explains the dominance in overall luxury EV market share. This quarter, the Model Y came in at 47.36%, followed by the Model 3 at 27.30%, the Model X (4.42%), the BMW i4 (2.82%), and the Model S (2.53%). Meanwhile, the Chevrolet Bolt EUV accounted for 17.67% of the non-luxury EV market share in Q2 2023 and the Volkswagen ID.4 came in second at 15.77%, followed closely by the Ford Mustang Mach-E at 15.74%, and the Hyundai IONIQ 5 at 11.13%. Despite Tesla comprising the majority of luxury EV market share, something professionals should keep in mind is other OEMs making their way into the market, which will give consumers more models to choose from as the gas alternative vehicles continue to grow in popularity. This will be important data to leverage in years to come when helping a consumer find a vehicle. To learn more about EV insights, view the full Automotive Consumer Trends Report: Q2 2023 presentation.

The deprecation of third-party cookies is one of the biggest changes to the automotive digital marketing landscape in recent years. Third-party cookies have long been used to track users across the web, which allows advertisers to target them with relevant ads. However, privacy concerns have led to the deprecation of third-party cookies in major browsers, such as Google Chrome and Safari. This change will have a significant impact on automotive marketers, as it will make it more difficult to track users and target them with ads. However, there are several things that auto marketers can do to prepare for the cookieless future. Here are some marketing tips when the cookie deprecates: Focus on first-party data. First-party data is data that you collect directly from your customers, such as email addresses, contact information, and purchase history. This data is more valuable than third-party data, as it is more accurate and reliable. You can use first-party data to create targeted ad campaigns and personalize your marketing messages. Work with a third-party aggregator. 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. Leverage Universal Identifiers. Universal Identifiers provide a shared identity to identity across the supply chain without syncing cookies. First-party data (such as CRM data) and offline data can be used to create Universal Identifiers. Use contextual targeting and audience modeling. Contextual targeting involves targeting ads based on the content that a user is viewing. Contextual targeting is a privacy-friendly way to target ads and it can be effective in reaching relevant audiences. Utilize Identity Graphs. An identity graph combines Personally Identifiable Information (PII) with non-PIIs like first-party cookies and publisher IDS. Identity graphs will allow cross-channel and cross-platform tracking and targeting. Experian’s Graph precisely connects digital identifiers such as MAIDS, IPs, cookies, universal IDs, and hashed emails to households providing marketers with a consolidated view of consumers’ digital IDs. The deprecation of third-party cookies will be a challenge for auto marketers, but it's also an opportunity to rethink marketing strategies and focus on building stronger relationships with customers. Here are some additional cookieless marketing tips: Start preparing now. Don't wait until the last minute to start preparing for the cookieless future. Start collecting first-party data from your customers now. Be transparent with your customers. Let your customers know what data you are collecting and how you are using it. Make sure that you have their consent to collect and use their data. Be creative with your marketing campaigns. There are several ways to reach your target audience without relying on cookies. Be creative with your marketing campaigns and experiment with different strategies. Sample audience segments include: 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. For example, an auto marketer may have used cookie data to find buyers who had shown interest in a hybrid sedan, but that’s where it ended. When combining audience segmentation with a predictive model, marketers can target and identify consumers in-market and most likely ready to purchase a specific model. 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. The cookieless future is coming, but marketers who are prepared will be able to succeed. By focusing on first-party data, contextual targeting, and partnerships, auto marketers can reach their target audiences and achieve marketing goals.


