The Building Blocks of a More Profitable Service Department 

The Building Blocks of a More Profitable Service Department

Summary: Dealerships can improve service department profitability through digital inspections, faster approvals, declined-service follow-up, service lane acquisition opportunities, and connected fixed operations workflows that drive higher RO value, stronger customer retention, and long-term revenue growth.  


As consumers increasingly keep their vehicles longer, the service department has become one of the dealership’s strongest opportunities for revenue growth, customer retention, and long-term loyalty. According to the Cox Automotive 2026 Fixed Ops and Ownership Study, nearly three-fourths of shoppers are delaying their next purchase, and the average age of a disposed vehicle is now 10 years. Over that extended ownership period, each vehicle owner now spends more than $12,000 on average.  

While this gives fixed operations a sizeable role in dealership profitability, it also raises the stakes at a time when independent repair shops, mobile service providers, and rising customer expectations make it more challenging to win and keep business.  

The good news is that profitable service growth does not always require adding more staff, increasing capacity, or overhauling operations. In many cases, it starts with creating a more transparent, efficient, and connected customer experience. 

In a recent webinar, experts from Xtime and Dealertrack discussed how dealerships can better position themselves to drive profitability and strengthen customer retention over the long term. 

Here are some of the key learnings from the webinar. 

Start With the Service Visit

Every service appointment creates an opportunity to improve profitability. The customer has already chosen your dealership, trusted your team with their vehicle, and arrived ready to engage. 

The challenge is helping customers make informed decisions while keeping the service experience convenient and efficient. 

Too often, advisors rely on handwritten notes, phone calls, or verbal explanations that make it difficult for customers to understand the value of recommended maintenance and repairs. Unclear recommendations slow down approvals and can lead to lost revenue opportunities. 

Digital multipoint inspections help solve this problem by giving customers visual evidence of what technicians find. Photos and videos allow customers to see issues firsthand, creating greater transparency and helping them understand why recommended repairs matter. 

Instead of simply telling customers what needs attention, dealerships can show them. That shift builds trust, supports faster approvals, and creates a more efficient service lane experience.  

Make Service Recommendations Easier to Approve

Today’s customers are looking for accurate information, clear pricing, and the ability to make decisions without unnecessary delays.  

For dealerships, the approval process is one of the most important profitability drivers within the service lane. 

When customers receive clear recommendations supported by photos, videos, and transparent pricing, they can make decisions more quickly and confidently. Advisors spend less time chasing approvals, technicians experience fewer workflow interruptions, and repair orders move through the shop more efficiently. 

A strong recommendation and approval process should help customers: 

  • Understand the results of the inspection and the recommended repairs 
  • See the need for repairs via supporting photos and videos
  • Review clearly stated pricing
  • Approve work quickly and conveniently via text or email

The goal is not to create a more aggressive sales process – it’s to remove friction. When customers have the information they need, approvals become easier and service operations become more productive.

Turn Declined Services Into Future Revenue

Not every customer will approve every recommended repair during a visit. However, a declined service today does not have to remain lost revenue. 

Successful dealerships treat declined services as future opportunities rather than closed ones. 

A consistent follow-up strategy allows service teams to reconnect with customers when the timing is right. Whether the customer needed additional budgeting time, postponed the repair, or simply forgot, proactive follow-up can bring valuable work back into the service department. 

High-performing service departments monitor key performance indicators such as inspection completion rates, photo and video usage, approval rates, and RO values. By tracking these metrics and maintaining structured follow-up processes, dealerships can create a predictable pipeline of future service revenue.  

Use the Service Lane to Strengthen Customer Retention

The value of a service visit extends well beyond a single repair order. 

Every positive service experience helps strengthen the relationship between the customer and the dealership. Convenient scheduling, transparent communication, and a smooth approval process create reasons for customers to return for future maintenance and repair needs.  

That relationship can have significant long-term impact. Once a vehicle buyer has gone to the dealership for service, they are 74% more likely to get service there again,* making the service department one of the dealership’s most important retention channels.  

When customers consistently receive a transparent and professional experience, they are less likely to explore independent repair alternatives and more likely to remain connected to the dealership. 

Create Acquisition Opportunities in the Service Drive

Every day, dealerships see customer-owned vehicles with known maintenance histories and documented condition information. That visibility creates opportunities to identify vehicles that may be good candidates for trade-in conversations.  

By combining service visit data with appraisal opportunities, dealerships can acquire higher-quality inventory while engaging customers who may be considering their next vehicle purchase. 

When handled thoughtfully, these conversations feel like a natural extension of the customer relationship rather than a sales interruption. Service advisors and dealership teams can help customers understand their options while creating another pathway for dealership growth.

Build a Strong Operational Foundation

While customer-facing experiences drive much of service department profitability, operational processes still play a critical role. 

Service teams operate most effectively when supporting parts, inventory, and accounting workflows are accurate and efficient. Delays in parts receiving, inventory inaccuracies, pricing inconsistencies, and poorly managed special-order processes can create friction throughout the service department and negatively affect both profitability and customer satisfaction.  

Dealerships that establish disciplined operational processes are better positioned to:

  • Protect margins through consistent pricing practices
  • Improve inventory accuracy
  • Reduce obsolete special-order inventory
  • Improve visibility into departmental performance
  • Support smoother customer experiences from start to finish

Operational excellence may be less visible to customers, but it creates the foundation that enables service teams to perform at a higher level every day. For more about maximizing parts profitability and performance, read Running a More Profitable Parts and Service Department on Dealertrack.com. 

Improve Coordination Between Sales and Service

Effectively moving information between departments can also make a difference when it comes to profitability. 

For example, promised services and customer commitments can become difficult to track when they rely on paper processes, manual logs, or disconnected spreadsheets. Improving these workflows helps create accountability, reduces administrative effort, and creates a better customer experience.  

When sales and service teams operate from connected workflows, dealerships gain greater visibility, stronger controls, and a more consistent process for fulfilling customer commitments. 

These improvements reduce operational friction while helping both departments work toward shared profitability and customer satisfaction goals.

Build a More Profitable Service Experience

Improving service department profitability is not simply about increasing appointment volume. It is about maximizing the value of every service visit while creating stronger long-term customer relationships. 

Dealerships can strengthen service performance by focusing on a few key priorities:

  • Use digital multipoint inspections to increase transparency and customer trust.
  • Support faster approvals with photos, videos, and clear communication.
  • Monitor key service performance metrics and coach your staff for continuous improvement.
  • Actively manage declined-service follow-up opportunities.
  • Use service visits to support retention and future acquisition goals.
  • Maintain efficient operational processes that support the entire customer journey. 

A more profitable service department helps customers make informed decisions, helps employees operate more efficiently, and helps dealerships capture more value from every interaction. 

The result is a stronger service experience, higher fixed operations performance, and a dealership that is better positioned for sustainable long-term growth. 

Build on Your Parts and Service Workflows

To learn more about how Cox Automotive solutions enhance your fixed ops processes, talk to your rep or view the Xtime and Dealertrack DMS self-guided demos. 

*Source: Cox Automotive 2026 Fixed Ops and Ownership Study 

The Do’s and Don’ts of Using AI to Evaluate Your Website 

AI tools like ChatGPT, Claude, Gemini, and Perplexity can help marketers research faster and uncover website opportunities. But when it comes to evaluating website performance, AI should support the analysis, not replace the data behind it. Here are some dos and don’ts of using AI to evaluate your website: 

Don’t: Use AI as Your Only Source of Truth 

  • Don’t treat AI as a website audit. AI can provide observations, but it doesn’t replace analytics, crawl reports, search visibility data, or server logs.  
  • Don’t assume AI has access to all the data. Most AI tools cannot see how users, search engines, or AI crawlers actually interact with your website.  
  • Don’t mistake confidence for accuracy. AI recommendations can sound authoritative even when they aren’t supported by evidence.  
  • Don’t confuse prediction with measurement. AI predicts likely answers. Analytics and reporting platforms measure reality.  
  • Don’t implement recommendations without validation. Treat AI-generated suggestions as hypotheses until they’re supported by data.  
  • Don’t rely on AI alone for strategic decisions. Performance analysis and optimization require measurable evidence.  

The Better Approach: Pair AI with Real Measurement 

The most effective organizations do not choose between AI and analytics. They use both. 

Do: Use AI to Strengthen Your Analysis 

  • Do use AI as a starting point. It can help surface ideas, questions, and opportunities worth investigating.  
  • Do use AI to identify content and messaging gaps. AI can highlight unclear content, missing information, and areas for improvement.  
  • Do use AI to simplify technical concepts. It can make topics like crawlability, structured data, and AI visibility easier to understand.  
  • Do use AI to summarize research and findings. AI can help translate complex information into stakeholder-friendly insights.  
  • Do validate recommendations with data. Confirm AI observations using analytics, performance metrics, and search visibility tools.  
  • Do combine AI and measurement tools. The strongest website strategies leverage both AI-driven insights and real-world data.  

Bottom Line 

Don’t use AI to replace measurement. Do use AI to ask better questions. The most effective website strategies combine AI-powered insights with real performance data to make informed decisions.  

CTA 

Want to understand how your website performs in an AI-driven search landscape? Dealer.com combines platform expertise, proven measurement methodologies, and AI-ready website technology to help dealerships build visibility where consumers are researching and making decisions. Contact your Dealer.com team to learn more. 

Ability to Convert Individual to Business Customer 

Release Date: July 2026 

Overview 

Deal Central now allows dealerships to convert an individual customer to a business customer directly within Manager View, helping teams keep the deal moving when a customer needs to purchase through a business. 

The Problem We Solved 

  • Business purchases can begin as individual customer deals, creating extra steps when customer type changes during the sales process. 
  • Dealership teams previously needed to recreate or correct customer and deal information to continue the workflow. 
  • Manual rework slowed deal momentum and increased the risk of inconsistent customer records. 

What’s Improved 

  • Customer type indicators make it easier to identify whether a deal is associated with an individual or business customer. 
  • A new Convert to Business action is available for eligible individual customers. 
  • Users can search for and associate an existing business customer without leaving the deal. 
  • Users can create a new business customer when one does not already exist. 
  • Teams can continue working the deal without manually recreating customer and deal information. 

How It Works (At a Glance) 

  • Open a deal in Manager View 
  • Select the customer section to view customer details 
  • Choose Convert to Business 
  • Search for an existing business or create a new one 
  • Associate the customer with the selected business and continue the deal workflow 

Summary: Why This Matters 

  • Customer and deal re-entry is reduced 
  • Teams spend less time correcting customer records 
  • Deal momentum is maintained when customer type changes 
  • Business-purchase workflows are easier to support within Deal Central 

Myth vs. Fact: Why LLMs Aren’t Reliable Website Analysis Tools 

AI large language models (LLMs) like ChatGPT, Claude, and Gemini are incredibly useful. They can summarize information, generate content, and help users explore ideas faster than ever before. But as organizations increasingly rely on these tools, one misconception has become more common: just because an LLM can generate an analysis does not mean it is qualified to perform one.  

When it comes to website performance, SEO, GEO, AI readiness, or competitive research, the difference matters. LLMs can be helpful assistants, but they are not measurement platforms, technical auditors, or sources of truth. Here are some myths and facts dealers should understand before relying on AI-generated website analysis. 

Myth: “If ChatGPT or Claude analyzed my website, the findings must be accurate.” 
Fact: LLMs do not perform comprehensive technical audits. 

Modern AI platforms may be able to retrieve and review portions of a website, but they typically do not have access to the complete set of data required for a reliable analysis. That includes server logs, crawl behavior, analytics, competitive benchmarks, historical performance trends, and proprietary platform data. Without that visibility, any conclusion an LLM provides is based on a limited view of the situation.  

To put it succinctly; a website audit generated by an LLM is an opinion, not a measurement.  

Myth: “LLMs can identify problems better than specialized analytics tools.” 
Fact: Purpose-built analytics platforms measure reality. LLMs generate probabilities. 

Analytics platforms, crawl tools, log analysis systems, and monitoring solutions collect actual performance data. LLMs, on the other hand, generate responses that sound plausible based on patterns they have learned. One is measuring what is happening. The other is predicting what might be happening.  

If you want to understand what is truly happening on a website, trust the measurement tool before the language model.  

Myth: “The AI sounded confident, so it must know what it’s talking about.” 
Fact: Confidence is not evidence. 

One of the defining characteristics of LLMs is their ability to generate convincing answers, even when the available information is incomplete. Instead of saying “I don’t know,” language models may fill in gaps with the most likely explanation. The result can sound polished and authoritative, even when it is not supported by data.  

A polished explanation should never be mistaken for proof.  

Myth: “If I ask the same question multiple times, I’ll get the same answer.” 
Fact: LLMs are inherently inconsistent. 

AI platforms can return dramatically different answers to the exact same prompt. Brand recommendations and comparative findings can vary significantly from one run to the next because LLMs generate likely rather than fixed conclusions.  

For brainstorming, that flexibility can be useful. For analysis, consistency matters.  

Myth: “ChatGPT told me my competitor is winning, so they probably are.” 
Fact: LLMs often lack the context required to make that call. 

A competitor may appear stronger in a specific AI-generated response while actually underperforming in measurable areas like traffic, visibility, crawlability, engagement, or conversion. Without access to comprehensive data sources, an LLM can only evaluate what it can retrieve or infer during that specific interaction.  

Myth: “AI findings are objective.” 
Fact: LLMs are designed to be helpful, not necessarily objective. 

Modern language models are trained to continue conversations successfully. That means they may adapt to the user’s assumptions and line of questioning. Researchers refer to this behavior as “sycophancy,” or the tendency to reinforce what the user appears to believe.  

A true analyst challenges assumptions. An LLM often accommodates them.  

Myth: “A GEO or AI-readiness score generated by an LLM is a reliable benchmark.” 
Fact: Scores are only meaningful when the methodology is transparent. 

Any audit, ranking, or score should be backed by defined inputs, a clear methodology, repeatable processes, and verifiable outputs. When an LLM produces a score or assessment without explaining how it was calculated, there is no way to validate the result.  

That is why organizations rely on established measurement tools with transparent methodologies instead of one-off AI prompts.  

Myth: “AI can replace analysts.” 
Fact: AI works best when paired with analysts. 

The strongest outcomes come from combining human expertise, empirical data, established methodologies, and AI-assisted summarization and communication. LLMs are excellent at explaining findings, surfacing ideas, and accelerating workflows. They are much less effective at determining whether those findings are actually true.  

AI should support analysis, not replace the expertise and evidence required to produce it. 

Myth: “If an LLM says it’s performing an audit, it’s performing an audit.” 
Fact: Audits require evidence. 

Real audits rely on sources like server logs, crawl data, analytics, performance metrics, competitive benchmarks, and historical measurements. LLMs can help interpret this information after it exists, but they cannot substitute for the underlying data collection process itself.  

If the data is not there, the audit is not really an audit. 

The Bottom Line: AI Can be Useful as an Assistant, Not a Source of Truth 

AI platforms like ChatGPT and Claude are some of the most powerful productivity tools ever created. They are exceptional at summarizing information, explaining complex topics, drafting content, brainstorming ideas, and organizing research.  

But they are not designed to measure performance, conduct technical audits, produce repeatable research, validate business assumptions, or replace analytics platforms.  

The smartest organizations use LLMs as assistants, not as sources of truth. When it comes to analysis, there is a simple rule worth remembering: facts come from data, insights come from analysis, and LLMs generate language about both, but they do not replace either. 

Want to better understand how AI can benefit your website? Connect with your Dealer.com team to review your website foundation, visibility opportunities, and next steps. 

Digital Deal Jacket: Dealer Image Capture 

Release Date: June 2026  

Overview 

Capture and attach deal documents directly within Digital Deal Jacket in Deal Central—using a mobile device or upload—so required documents are completed without leaving the deal.  

What problem does this solve? 

Dealers often collect documents across multiple tools, which creates extra steps and slows down deal completion.  

What’s improved? 

  • Capture or upload document images directly in Digital Deal Jacket 
  • Easily scan a QR code to quickly capture document images from a mobile device 
  • Images are stored directly in Digital Deal Jacket and attached to the deal, eliminating the need to save them on your device 
  • Fulfill required document placeholders within the deal 
  • Reduce manual steps and tool switching 
  • Keep all deal documents in one place 

How it works 

  • Open the deal in Digital Deal Jacket (Sales View or Manager View) 
  • Select a required document placeholder or click Add Documents 
  • Scan the QR code to capture images using a mobile device or upload files 
  • Edit images as needed (crop, rotate, adjust) 
  • Save—documents are attached directly to the deal 
  • Continue the workflow with required documents completed 

Master Parts & Service Profitability: Tips for Running a More Profitable Parts and Service Department

Watch this on-demand webinar to get practical tips and see firsthand how your dealership can streamline operations and increase profit margins across both parts and service departments. Dealertrack DMS and Xtime experts share strategies to optimize pricing, improve workflows, increase visibility, and drive stronger fixed-ops performance with practical examples you can put into action right away.

The AI-Informed Car Buyer is Here. Are You Ready? 

Man on Phone Outside of Dealership

Key Takeaways 

  • AI-informed buyers are already here. About one in four new-vehicle buyers used AI tools during their shopping process, and that number is expected to grow. 
  • More informed buyers are easier to work with. AI users report higher satisfaction, stronger trust in dealers, and a smoother path to purchase. 
  • Your opportunity is consistency. When your listings, pricing, and communication match what buyers expect, you reduce friction and move deals forward faster. 

“According to the Cox Automotive Car Buyer Journey Study, 83% of consumers believe AI will reshape the car buying process in the next 10 years.” 

AI isn’t a future trend in car buying. It’s already shaping how your customers shop today. 

For the first time, the Cox Automotive Car Buyer Journey Study tracked how buyers are using AI tools during their research process. The signal is clear: more shoppers are using AI to compare options, validate pricing, and build confidence before they ever contact a dealership. And 83% of consumers already believe AI will reshape car buying in the years ahead. 

In the first article in this series, we showed how digital tools are helping buyers move faster. This is the next step. Buyers aren’t just moving faster. They’re arriving more informed. 

For forward-looking dealers, that’s not a threat. It’s an advantage. When buyers show up with higher confidence, your team can spend less time convincing and more time closing. 

Now, it’s about making sure your dealership experience keeps pace – through accurate pricing, clear vehicle details, and a process that matches the speed and transparency buyers expect. This article breaks down what the data shows and how to be ready for the AI-informed shopper already walking into your showroom. 

AI Shoppers Are in Your Showroom…Now 

A meaningful share of today’s buyers are already using AI tools as part of their shopping process. According to the study, about one in four newvehicle buyers used AI tools during their research.  

This is the first year this behavior has been tracked. What you’re seeing now is the baseline, not the peak. Shoppers aren’t using AI out of curiosity. They’re using it to narrow their options, compare pricing, and validate their decisions before they ever contact your dealership.  

What this means for your dealership 

  • They already have a short list.  
  • They already have a price range in mind.  
  • They’re confident in their decision. 

For forward-looking dealers, this changes the role of your team. When you meet an informed buyer with clear, consistent information, the conversation moves faster and feels easier on both sides.  

Autotrader Tip: Make sure your vehicle listings, pricing, and details reflect the same level of clarity and accuracy buyers expect from their research. When those expectations match, the path to purchase becomes more straightforward.  

AI Users Are the Most Satisfied Buyers in the Study 

The study shows that 84% of mostly digital AI users reported being highly satisfied with their experience. Across all AI users, 59% reported high satisfaction levels. That puts AI users among the most satisfied buyers in the entire study.  

What this means for your dealership 

  • The informed buyer is often the easier buyer. 
  • They’ve already done the comparison work. 
  • They’ve already validated pricing. 
  • They’ve already built confidence in their decision. 

That means less time spent answering basic questions and more time moving deals forward. 

This is where efficiency shows up. Conversations are more productive. The path to purchase is clearer. And the overall experience feels smoother for both your team and your customers. Your opportunity is to meet that buyer with the same level of clarity they expect. When pricing, vehicle details, and communication are consistent, you remove friction and keep momentum on your side. 

Autotrader Tip: High-quality listings play a bigger role here than you might expect. Clear photos, accurate pricing, and detailed vehicle information help reinforce buyer confidence before and after the first interaction, making it easier to keep the deal moving forward. 

Trust is Higher When Buyers Come Prepared 

Buyers who use AI tools are more likely to trust the dealership and feel good about the process. The study found that 81% of AI users trusted that the dealer offered a fair deal, compared to 67% of buyers who did not use AI.   

AI users were also more satisfied with how long the process took. 81% of AI users were satisfied with the time it took to complete their purchase, compared to 65% of nonAI users.  

When buyers feel prepared, they feel more in control. And that confidence carries into their interaction with your team. 

What this means for your dealership 

  • More informed buyers aren’t more skeptical. They are more certain. 
  • They’ve already validated their choices. 
  • They’ve already aligned expectations around pricing. 
  • They’ve already built trust in the process before they arrive. 

This shifts the tone of the conversation. Instead of questioning each step, buyers are looking for confirmation and a clear path forward. 

This is where consistency matters most. The experience you deliver needs to match the expectations buyers bring with them. When it does, trust builds faster and deals move forward with less friction. Your opportunity is to remove surprises. When pricing, vehicle details, and communication align with what buyers have already seen, you create a smoother, more predictable experience that builds confidence at every step. 

Autotrader Tip: Consistency across your listings is critical. When pricing, photos, and vehicle details are accurate and aligned with what buyers have already researched, you reinforce trust early and avoid friction later in the process. 

Call Out Block to link to Spoke Blog 2 

Icon: CRS26_0130_CBJ_AT_Blog-Post-1_Icon-2_256x256_v1.png 

Headline: Digital Tools, Real Results: Why Your Most Satisfied Buyers Are Doing More Online 

Copy: Digital-first journeys shorten time at your dealership. And the payoff? Hapy customers and higher profits. 

CTA: Read More 

H2: The Industry Sees What’s Coming 

The study shows that 83% of consumers believe AI will reshape the car buying process in the next 10 years. At the same time, 63% of dealers say investing in AI is critical to staying competitive. This level of agreement matters. It signals that this is not a passing trend. It’s a structural change in how people research, shop, and make decisions. 

What this means for your dealership 

  • You do not need to wait for this shift to happen. It is already underway. 
  • Buyers are changing how they shop today. 
  • Expectations around speed and transparency are already rising. 
  • And the gap between prepared and unprepared dealerships is starting to widen. 

For forward-looking dealers, the focus isn’t just on adopting new tools. It’s on delivering a buying experience that matches how customers are already behaving. That means showing up with consistent pricing. Clear vehicle details. A process that moves at the speed buyers expect. 

The advantage comes from building that consistency now. Dealers who align their digital presence and in‑store experience today are better positioned to meet the next wave of buyers with confidence. 

Autotrader Tip: Your listings are often the first place buyers will form their expectations. When pricing, vehicle details, and merchandising are accurate and consistent, you create a stronger foundation for trust before the conversation even begins. 

Meeting the AI-Informed Buyer 

Digital tools help buyers move faster. AI helps them decide sooner. When the Car Buyer Journey Study results were released earlier this year, Autotrader and Cox Automotive found that mostly digital buyers saved time and reported higher satisfaction. AI builds on that. Today’s buyers are arriving with more context, more confidence, and higher expectations for how the process should work.   

The good news is that dealers shouldn’t need to replace their current process. Rather, you can ensure your process matches the customer in front of you. 

What this means for your dealership 

Meeting the AI-informed buyer comes down to consistency, speed, and clarity. 

Here are a few ways to put that into practice: 

Keep your listings accurate and up to date 

Ensure pricing, availability, and vehicle details match what buyers see in their research. Inconsistencies slow deals down and create doubts. 

Make vehicle details easy to understand 

Use clear photos, complete descriptions, and transparent pricing to help buyers confirm their decision quickly.  

Respond quickly and consistently 

Buyers using AI tools are used to getting fast answers. Match their pace – delays or mixed messages can break momentum. 

Train your team to work with informed buyers 

Encourage your team to validate and guide, not restart the process. Buyers are not looking to start over. They’re looking to move forward. 

Connect your digital and in-store experience 

Align the information buyers see online with what they hear in-store. Bringing those two moments together builds trust faster.  

Autotrader Tip: Treat your listings as the starting point of the conversation. When your pricing, photos, and vehicle details are complete and consistent, you help buyers confirm their decision faster and arrive ready to move forward. 

Closing: Be Ready for the Buyer Who’s Already Ready 

AI is already shaping how buyers research, decide, and move through the purchase process. The shift is not coming later. It is happening now. Dealers who recognize what today’s data is showing will benefit the most. Informed buyers aren’t harder to work with. They’re more confident, more trusting, and more ready to move forward. 

Your role is to meet those buyers with consistency at every step. When your listings, pricing, and in-store experience align with what buyers have already seen, you remove friction and build trust faster. That’s how you turn preparation into progress and interest into a completed sale. 

Explore the Full Car Buyer Journey 

Want to see the full picture of how buyer behavior is evolving? 

Read the full breakdown of trends, insights, and data in the latest Car Buyer Journey Study. 

Explore 2025 Car Buyer Journey Trends 

Source: 2025 Cox Automotive Car Buyer Journey 

Cash Down for Cash Deals with Outside Financing 

Release Date: June 2026

Overview 

Deal Central now ensures Cash Down on cash deals is applied consistently across the deal, so totals, lender checks and documents reflect the correct values without needing additional steps.  

The Problem We Solved 

Dealer-entered Cash Down values routed to a generic field rather than a distinct field causing downstream issues across the deal:  

  • Deal recap math did not include the cash down payment. 
  • Contracts were mislabeled, causing dealers to manually correct deals to move forward 
  • Funding escalations increased due to discrepancies 

What’s Improved 

  • Cash Down now routes to a dedicated field automatically 
  • Deal Breakdown reflects Cash Down as a separate, visible line item 
  • Total Amount Due calculates consistently using Cash Down 
  • Print Proposals show Cash Down clearly labeled and deducted 
  • Lender checks for outside lienholders are calculated accurately 
  • No changes to the user interface or how values are entered 

How It Works (At A Glance) 

  • Enter Cash Down—no new process required 
  • Value is stored in the dedicated location automatically 
  • Deal math updates correctly across the workspace 
  • Documents reflect accurate values end-to-end 
  • No manual corrections needed 

Summary: Why This Matters 

  • Lender checks align with the deal  
  • Funding issues are reduced  
  • Contracts and proposals stay consistent across the deal 
  • Deals move forward without manual re-entry or correction 

The Agents Are Shopping – How To Show Up In AI-Driven Search Results

The Agents Are Shopping- How To Show Up In AI-Driven Search Results

At ASOTU Con 2026, Jade Terreberry and Noah Lee joined client Lonny Soza for a main stage conversation on how AI is reshaping shopper discovery, and what it means for dealer visibility, trust, and readiness in the rapidly evolving retail landscape.

Together, they explored how AI-driven search is influencing how buyers find and evaluate dealerships, and why showing up in these moments increasingly depends on clarity, credibility, and the ability to be understood by both people and machines.