How to Be a Data-Driven Dealer

by James Maguire 5 min read May 30, 2018

The auto industry is blessed with an abundance of data – market research, demand estimates, demographic trends, registration history, not to mention your dealership’s own sales and inventory data. Dealers are often visual people – who love beautiful cars more than boring spreadsheets. The more visual you can make your data, the easier it will be to make decisions based on what it’s telling you. Here are the five steps to being a data-driven dealer.

1. Where am I selling the most cars?

You probably have a good instinct about where the “hot spots” are around your dealership. But there’s a reason many dealers often display a map somewhere in the dealership, with pushpins representing recent new and used sales. It’s a tried-and-true technique because there’s no substitute for a visual representation of data, especially to get a good sense of where you’re currently successful.

More importantly, it will also help you answer a critical question – where should I be selling the most cars? By layering your web stats, such as Google Analytics, on top of your sales data, you can start to see whether your PPC spend is resulting in sales.

Then layer on registration data to understand whether you’re maximizing opportunity in your own backyard. You might already be selling a lot of cars into a town, but looking at your on-brand market share will help you determine if you’ve fully penetrated the area. Looking at overall market activity, not just your own data, is required to understand where you fit into the bigger picture and decide upon your best sales strategy.

2. Where should we be conquesting?

Once you’ve confirmed that you’re (hopefully) dominating in your town and those directly adjacent to you, it’s time to turn your eye to how to take on competitive dealerships farther afield. Again, data can help you determine next steps and target your budget appropriately.

Every dealership approaches and defines “conquesting” a little differently, but there are two common techniques that can be made much easier using recent registration statistics.

First, look for ZIP Codes outside of your immediate PMA that are selling a high number of on-brand vehicles. These are your competitors’ happiest hunting grounds; focus on enticing shoppers in those areas to drive a little further to take advantage of special pricing or promotions, rather than attacking blindly in a 20-mile radius.

3. What is my best performing campaign now?

No matter what your position is at the dealership, you need to know what’s working best at any given moment. The GM needs to be able to make on-the-fly budgeting decisions, while the e-commerce Director wants to know which campaigns are working and what to do more of. But too often, the only objective measures we’re regularly provided are traffic stats. Traffic is important, of course, but we’d suggest there are three factors dealers should evaluate for every campaign.

A campaign may be driving lots of shoppers to your site, but if they’re immediately leaving the site, they aren’t worth much for you. A high bounce rate is your first sign that something is amiss since shoppers aren’t finding what they were looking for on your site.

A second-level analysis involves looking at what other pages visitors looked at after hitting the campaign landing page. For an offer focused on a specific vehicle, visitors should be moving on to look at inventory on VDP pages. Free oil change promotion? Visitors should be spending time on the service portion of your site. Work with your agency or internal e-commerce team to determine what content, language and images are the most effective at engaging potential buyers to take the desired action.

Speaking of action, conversion rate is your single best measure of whether a campaign is performing to expectations. Just make sure you’re measuring actions that matter: Form submissions, email leads, mobile clicks to call, and visits to hours and directions pages all indicate various levels of positive customer interest in beginning a dialogue.

4. How do I determine whether my traditional advertising spend is producing results?

Measuring dealer marketing ROI can be challenging, especially for traditional advertising. History tells us that radio, TV, newspaper, and outdoor are successful in driving demand, but quantifying that effect can be an elusive goal.

But there are methods that will get you closer to determine the effect of your traditional efforts on sales. By tagging the start dates of all your marketing activities and mapping them on a trendline of your traffic for your URLs, leads such as phone calls, chat, and coupon codes for your service department as well as sales, you’ll get a good sense about whether your offline campaigns are generating online interest.

5. Who is my ideal customer?

Once you understand which models are likely to move next month, your next question should be: “Who am I selling to?” You probably have a good sense of your typical customer profile for many models (there’s a good chance you’re showing minivans and SUVs to young families, for example). But do you know where those customers live? And how to best talk to them?

There is an incredible amount of data available on consumers, from credit history to buying behavior to lifestyle preferences. So how do you make use of this rich consumer data? At a basic level, Experian data can tell you a lot about the residents of each ZIP Code surrounding your dealership – from average age, income, and number of children, all the way to the most prevalent Mosaic® profiles in each town.  In a previous article, we talk about locating your ideal customer using Mosaic profiles. You might have a high number of “American Royalty” in one area, or an abundance of “Sports Utility Families” just a couple of towns over.

This information can tell you not only where you might want to market particular models, but what medium and messaging will resonate best in each area. While only 15 miles apart, the Boston suburbs of Sudbury and Norwood are home to very different types of BMW buyers, suggesting vastly different marketing campaigns to best appeal to each.

Data is a necessary tool for understanding your ideal customer, improving your marketing results, and selling more vehicles. These five steps to becoming a data-driven dealer address all your requirements to enrich your marketing and conquest more successfully.

Related Posts

Used EV Growth Signals a New Phase of Consumer Purchasing Behavior

The electric vehicle (EV) revolution isn’t slowing down, it’s changing lanes. While recent conversations have seemingly focused on softening demand for new EVs, the used segment has been gaining momentum. According to Experian Automotive’s 2025 EV Year in Review Report, new retail individual EV registrations fell 35.9% year-over-year. Meanwhile, the used retail individual EV registrations grew 25.4% from a year ago. As affordability and growing model availability reshapes consumer behavior, buyers are increasingly turning to pre-owned EVs, which has shown an interesting market divergence that is redefining how consumers are adopting this segment and what it can mean for automakers, dealers, and the overall industry. Key players behind rising used EV demand Notably, Tesla accounted for over half (60.5%) of used retail individual EV registrations in 2025, followed by Chevrolet at 6.4% and Nissan (5.5%). Diving a bit deeper, Tesla made up the top three models of the used individual registrations last year, with the Model 3 coming in at 27.2%, Model Y at 21.7%, and Model S (6.6%). The Chevrolet Bolt EV followed at 4.8% and the Nissan Leaf was at 4%. Tesla’s position as the leading make in the used EV market is a natural extension of its long-standing dominance in new EV sales. The brand’s leadership over the years created a large fleet of vehicles that are now entering the pre-owned market. What the used EV boom means for automotive professionals The growing demand for used EVs can present more opportunities for automotive professionals. Dealers that provide a healthy supply of pre-owned EVs can increase accessibility and play a role in adoption for consumers who are actively looking to purchase, while marketers can emphasize value and ownership benefits. As the market continues to evolve, automotive professionals who understand and respond to these changing dynamics will be best positioned to capitalize on the expanding pool of used EV shoppers. To learn more about EV insights, visit Experian Automotive’s EV Resource Center.

Published: June 30, 2026 by Kirsten Von Busch
How Terrace Finance Uses NeuroID to Respond to Fraud Faster and Smarter

Learn how Terrace Finance used NeuroID behavioral analytics to detect fraud faster, respond to attacks, and strengthen risk management.

Published: June 29, 2026 by Scarlet.Nickel@experian.com
Ask the Expert: A Closer Look at Modern Lending with Jeff Hops and Erin Haselkorn

In this first episode of Ask the Expert, Experian's Jeff Hops, Senior Director of Data Platform and Product, and Erin Haselkorn, Senior Director of Analyst Relations, explore how broader data and new signals can help lenders better understand today’s consumers, while maintaining responsible decisioning. Lending is changing  Interest rates, regulation, embedded finance and AI are reshaping the lending landscape. Consumer behavior is evolving just as quickly. But the core job hasn’t changed. Lenders are still making decisions about people they don’t fully know, and that makes data more important than ever. "There are periods where nothing changes, and periods where it seems like everything changes. We’re in the latter … but the core premise hasn’t changed. You’re still trying to lend to somebody you don’t know."Jeff Hops, Senior Director of Data Platform and Product To make those decisions with confidence, lenders need a strong foundation of identity, history and reliable signals. In a period of rapid change, the quality and completeness of that data become even more critical. A more complex view of today’s consumer What has changed is the consumer. Traditional credit data is foundational but can be further enhanced with visibility on how people earn, manage and move money. Income may come from multiple sources, and financial activity often spans bank accounts, applications (apps) and digital channels. Cash flow data, for example, can provide a clearer view of what’s actually coming into a consumer’s account, beyond what traditional records may show.These additional signals can help lenders better understand: Income variability across multiple earning sources Current financial behavior through cash flow activity Digital and identity-linked activity across channels These signals don’t replace traditional data; they expand it. The result is a more complete and current view of the consumer. From exploration to real-world application The conversation around broader data signals has moved beyond theory. Lenders are no longer just asking whether these signals are useful. They’re asking where, how and under what governance they can be applied across the lending lifecycle. Lenders are actively researching, testing and implementing new data sources across the lending lifecycle. What was once experimental is now operational. Institutions are progressing through a clear path: Research Understanding available signals and use cases Testing Evaluating performance in controlled environments Implementation Applying insights in production Today, alternative data is being used in areas like analytics, channel scoring and decisioning, often within governed environments that allow for safe testing and validation. AI may accelerate this shift by helping institutions identify patterns at scale, but its value depends on the strength of the underlying data: quality, governance, context and clear business use cases. More signal, more responsibility As data availability expands, lenders have access to more granular insights than ever before. That creates opportunity, but also responsibility. The institutions that lead won’t be the ones that use the most data. They’ll be the ones that know which signals to use, how to validate them and how to apply them in ways that are fair, explainable and aligned to consumer outcomes. “Institutions can unlock more granular and powerful decisions, but they have to do it responsibly.”Erin Haselkorn, Senior Director, Analyst Relations The future of lending will be shaped not just by how much data is available, but by how thoughtfully it’s applied. Keeping the consumer at the center of decisioning is essential to building trust and long-term success. Explore alternative data with us A more complete understanding of today’s consumers starts with better data. We help lenders responsibly incorporate broader data signals and advanced analytics into decisioning strategies, enhancing visibility into today’s consumers while strengthening risk assessment and expanding access to credit. Let’s work together to build more confident, more responsible lending decisions. Learn more Contact us About our experts Jeff Hops Senior Director, Data Platform and Product, Experian Jeff Hops is a Senior Director in Experian’s Financial Services and Data business with over eight years of experience driving innovation in credit and data solutions. He has led product development for Experian’s Credit Report and played a key role in launching Ascend Identity Platform™, a leading identity resolution platform. Erin Haselkorn Senior Director, Analyst Relations, Experian Erin Haselkorn is responsible for analyst relations for Experian. She has developed an understanding of key marketing trends across a broad range of verticals. Her market research around data strategy, AI, fraud, identity and data management, paired with her broad Experian product knowledge, gives her a unique understanding of business automation and data trends. Erin is a frequent spokesperson and guest blogger.

Published: June 22, 2026 by Julie.JLee@experian.com

Subscribe to our Auto blog

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.