The Model Year Campaign Is Dead.
Win Before the Showroom.
The automotive industry is undergoing four simultaneous structural disruptions, each of which breaks a core assumption of the traditional automotive marketing model that has not fundamentally changed since the 1960s. That model was built for a world where product information was controlled by dealers, the purchase cycle was short, the product was fixed at delivery, and mass media advertising could reach buyers before they formed strong brand preferences. None of those conditions still hold.
Most automotive OEM and dealer marketing budgets are still allocated primarily toward the top-of-funnel model year campaign tactics that generate brand awareness but cannot be traced to individual vehicle sales: national TV, outdoor, and digital display. Meanwhile, the research stage, where 60 to 80 percent of the purchase decision is made, is dominated by AI assistants, automotive media platforms, and peer review sites that OEM marketing teams have limited ability to influence with paid media. The brands that close this gap through AXO-optimized content, behavioral digital engagement, and post-purchase owner marketing are building a durable competitive advantage in the AI-first automotive market. The brands that do not are paying ever-increasing media costs to reach buyers whose consideration decisions have already been made before any paid impression is served.
TPG's RM6 framework gives automotive and mobility companies a maturity model and execution roadmap calibrated to the dynamics of high-consideration, long-cycle buyer journeys with dealer network complexity, multi-stakeholder purchase decisions, and the need to attribute marketing investment across the full OEM-to-dealer sales funnel.
Automotive & mobility segments TPG serves
Revenue Marketing Strategy for Automotive & Mobility Companies
How to build a marketing strategy that connects the digital research phase to dealer sales outcomes and measures marketing ROI in vehicle sales influenced, not impressions delivered.
How do automotive OEMs and dealer groups build a revenue marketing strategy that proves marketing's contribution to vehicle sales rather than brand awareness?
Automotive OEMs and dealer groups build a revenue marketing strategy that proves contribution to vehicle sales by building the data infrastructure that connects the digital engagement layer to the dealer transaction layer. The fundamental challenge in automotive marketing attribution is that buyer research happens at the OEM and automotive media level, while sales transactions happen at the dealer level, separated by a 60 to 180 day consideration cycle that spans multiple digital touchpoints. Most automotive marketing teams have rich engagement data from their digital programs and separate sales data from dealer management systems, but the integration between these two data sources, which would enable attribution of vehicle sales to specific marketing channels and programs, has never been built. Without this integration, marketing budget allocation is driven by reach and impression metrics rather than contribution to actual vehicle sales.
The strategic starting point is an attribution architecture audit: map the buyer journey from first digital touchpoint through dealer visit and vehicle purchase, identify the data systems that hold each stage of this journey (OEM website, configurator, dealer CRM, DMS), and design the integration architecture that enables end-to-end attribution. Once attribution exists, the marketing strategy question changes from "how much reach did we generate" to "which marketing programs produce the buyers most likely to purchase, and how do we invest more in those programs." TPG's RM6 diagnostic scores your automotive marketing maturity across 49 capabilities and produces a prioritized roadmap that identifies the specific attribution gaps and program gaps preventing your marketing investment from being connected to vehicle sales outcomes.
Digital Buyer Engagement & Demand Generation
How to engage automotive buyers during the 60 to 180 day research phase before they contact a dealer, and measure engagement quality by purchase intent rather than page views.
How do automotive OEMs and dealer groups generate high-quality buyer demand from the 60 to 80 percent of the purchase decision that happens before dealer contact?
Automotive OEMs and dealer groups generate high-quality buyer demand from the pre-dealer research phase by building behavioral engagement programs that recognize and respond to buyer research signals at each stage of the consideration journey. A buyer who visits the OEM configurator and saves a build is expressing higher purchase intent than a buyer who reads a model overview page. A buyer who compares two trim levels and downloads a brochure is closer to a purchase decision than a buyer who watches a brand video. A buyer who enters a dealer inventory page and views multiple VINs of the same model is very likely in the final stage of consideration. Most automotive OEM digital programs treat all of these engagement signals the same way: they deliver the same retargeting creative and generate the same lead form prompt regardless of where the buyer is in their research journey. Behavioral scoring that recognizes these different intent signals and delivers stage-appropriate content and calls to action increases the quality of dealer handoff and the probability that the dealer converts the buyer without needing to restart the consideration process from scratch.
The three demand generation investments with the highest ROI in automotive are: behavioral lead scoring on OEM digital property engagement that identifies high-intent buyers before they submit a lead form; personalized follow-up sequences for lead form submissions that address the specific model and trim the buyer was researching rather than sending a generic dealer introduction; and AXO programs that ensure the brand appears in AI-generated vehicle recommendations when buyers ask AI assistants for vehicle comparisons before visiting any OEM website or automotive media platform. TPG builds these programs for automotive companies, connecting OEM digital engagement data to dealer CRM systems and measuring contribution to vehicle sales rather than digital engagement volume.
Dealer & Retail Network Marketing
How automotive OEMs build dealer co-op programs that produce qualified buyers, and how dealer groups build local marketing programs that convert OEM-generated interest into showroom visits and vehicle sales.
How do automotive OEMs and dealer groups align marketing programs to convert digital buyer interest into showroom visits and closed vehicle sales?
Automotive OEMs and dealer groups align marketing programs to convert digital interest into showroom visits by building a seamless handoff architecture that passes behavioral data, vehicle interest context, and purchase stage signals from the OEM digital environment to the individual dealer at the moment of buyer handoff. The most common breakdown in automotive marketing is not in demand generation or in dealer sales execution: it is in the handoff. A buyer who has spent 90 days researching a specific model configuration on the OEM website, saved a build, and visited three VINs on the OEM's dealer inventory locator arrives at the dealer as a form submission with minimal context. The dealer CRM system receives a name, email, and zip code. The salesperson starts from the beginning. The personalization the buyer experienced online disappears at the moment of dealer contact, which is the exact moment it is most valuable.
Dealer co-op marketing programs built on revenue marketing principles connect the OEM's behavioral data to dealer CRM systems in real time, so the dealer's first contact with a buyer is informed by everything the buyer did during the research phase. The dealer knows which model the buyer configured, which competitor models they compared, what financing tools they interacted with, and what their current vehicle is based on trade-in estimation tool usage. This context enables a first contact that advances the conversation rather than restarting it, which directly improves dealer close rates and reduces the number of dealer interactions required to reach a purchase decision. TPG builds dealer co-op and retail network marketing programs that pass behavioral context from OEM digital environments to dealer CRM systems, connecting the research phase to the purchase phase in a single data flow.
MarTech for Automotive OEMs, Dealers & Mobility Companies
How to connect dealer management systems, CRM, and marketing automation into a buyer intelligence platform that enables personalization from research through purchase and post-purchase service.
How do automotive companies build a MarTech stack that connects the DMS, CRM, and marketing automation without data silos between OEM and dealer systems?
Automotive MarTech works in three layers with a unique integration challenge that distinguishes it from every other industry in this series: the gap between the OEM's digital engagement layer and the dealer's transaction layer is an organizational boundary as well as a technology boundary. The dealer management system layer, the automotive industry's system of record for all vehicle inventory, sales transactions, service records, and customer history, is most commonly CDK Global or Reynolds and Reynolds at franchise dealers. The dealer CRM layer manages buyer follow-up, lead routing, sales pipeline, and service scheduling: VinSolutions, DealerSocket, and Salesforce Automotive Cloud are the primary platforms. The OEM marketing automation layer manages national and regional digital campaigns, configurator and inventory marketing, behavioral lead scoring, and dealer co-op program distribution: Salesforce Marketing Cloud and Adobe Experience Manager serve enterprise OEM marketing operations; HubSpot and Marketo serve automotive technology companies and dealer groups.
The critical integration that most OEM and dealer marketing programs have not built is a bidirectional data flow between the OEM's behavioral engagement data and the dealer's CRM and DMS. Without this flow, the OEM cannot close the attribution loop between digital programs and vehicle sales, and the dealer cannot use the OEM's behavioral data to personalize buyer contact. Building this integration requires both a technology architecture decision and a data governance agreement between the OEM and dealer network about which data can be shared, in which direction, with what latency, and under what privacy constraints. TPG builds this integration architecture for automotive companies across every combination of OEM platform, dealer CRM, and DMS, starting with the governance agreement before the technology configuration.
AI & Personalization for Automotive Marketing
How to use AI for buyer intent scoring, service retention prediction, owner loyalty programs, and post-purchase software feature marketing that extends revenue across the ownership lifecycle.
How do automotive OEMs and dealer groups use AI to improve buyer conversion rates and customer lifetime value across multiple ownership cycles?
Automotive companies use AI most effectively for five applications tied to the specific revenue dynamics of long-cycle, high-consideration purchases with post-purchase revenue opportunities. Buyer intent scoring uses machine learning on digital engagement data, configurator behavior, competitive cross-shopping signals, and third-party intent data to identify which prospect records in the marketing database are in an active purchase consideration window, enabling sales and marketing to concentrate personalized engagement on the 15 to 20 percent of prospects who are actually in-market rather than treating all leads equally. Service retention prediction analyzes vehicle age, service history, and owner engagement to identify customers at risk of defecting to independent service providers before their next appointment, triggering proactive outreach with relevant offers. Owner repurchase prediction identifies owners 18 to 36 months before the end of their typical ownership cycle who show early replacement intent signals, enabling next-vehicle marketing before a competitor's research process captures them. Software-defined vehicle feature marketing uses post-purchase owner engagement data to identify which premium subscription features are most likely to convert for each owner segment, generating revenue after the vehicle sale. And AXO structures vehicle specification data, ownership cost content, and brand narrative for AI search visibility, ensuring the brand appears in AI-generated vehicle recommendations during the buyer research phase. TPG's R.A.I.N. framework applies all five AI capabilities to automotive and mobility companies, integrating with DMS, dealer CRM, and OEM marketing platforms to generate predictions grounded in actual buyer and owner behavior.
Marketing Operations for Automotive Revenue
How to build the data infrastructure that connects OEM digital engagement to dealer sales outcomes, and the attribution models that prove marketing's contribution to vehicle revenue.
How do automotive OEMs and dealer groups build marketing operations systems that trace digital engagement to vehicle sales across a 60 to 180 day buyer journey?
Automotive marketing operations require solving a data integration problem that is more complex than any other industry in this series: connecting buyer engagement data that lives in OEM marketing systems to vehicle sales data that lives in dealer management systems, across an organizational boundary that separates the OEM from thousands of independently owned and operated franchise dealers. The technical challenge of building this integration is significant but tractable. The governance challenge of agreeing on what buyer data the OEM can share with dealers, what dealer sales data the OEM can access for attribution, and what privacy constraints apply to both is harder and must be resolved before any technology implementation begins.
The marketing operations infrastructure that automotive revenue marketing requires covers four components: a unified buyer identity resolution system that matches the same buyer across OEM website, configurator, dealer CRM, and DMS records using probabilistic matching on email, phone, VIN, and vehicle configuration data; a campaign attribution model that credits OEM digital touchpoints for dealer sales that occurred within the typical research-to-purchase window; a dealer performance dashboard that shows each dealer's marketing-influenced traffic, lead quality, and conversion rate compared to network average; and an owner lifecycle system that tracks every sold vehicle from purchase through service visits, warranty events, and eventual repurchase consideration. TPG builds automotive marketing operations systems that connect all four components into a unified buyer intelligence platform, enabling the attribution models and personalization programs that connect marketing investment to vehicle revenue.
EV, Mobility & Auto Technology Marketing
How EV brands, charging infrastructure companies, fleet electrification programs, and automotive technology vendors build marketing programs that address the specific purchase barriers and buyer education challenges of the electric and mobility transition.
How do EV brands and automotive technology companies build marketing programs that address the specific buyer education barriers and B2B procurement dynamics of the electric vehicle transition?
EV brands and automotive technology companies face two distinct marketing challenges depending on whether they sell to consumers or to fleet operators, OEMs, and dealer groups as B2B customers. Consumer EV marketing must address the four specific purchase barriers that slow EV adoption: range anxiety, charging infrastructure access, total cost of ownership uncertainty, and home and workplace charging logistics. Buyers evaluating EVs ask fundamentally different research questions than buyers evaluating internal combustion vehicles. They want to know the real-world range on highway driving in cold weather. They want to know the full total cost of ownership including charging cost, maintenance savings, federal incentives, and home charger installation. They want to know where they can charge on their specific regular driving routes, not just the total number of chargers nationwide. Content and AXO programs that answer these specific attribute-level questions in the formats that AI assistants can cite put EV brands in the consideration set when buyers ask these questions before visiting any OEM website or dealership. Brands that leave these questions unanswered in their digital content and unrepresented in AI answers lose consideration to competitors that have answered them.
B2B automotive technology marketing, covering charging infrastructure, telematics, ADAS, dealer technology, and fleet electrification services, requires account-based marketing programs that target the specific companies and buying committee roles that have authority and budget for automotive technology procurement. The fleet electrification buying committee includes the fleet operations director who evaluates operational impact, the CFO who evaluates total cost of ownership and financing options, the sustainability officer who evaluates emissions reduction and ESG reporting value, and the facilities or real estate team who evaluates charging infrastructure requirements. Gilbarco Veeder-Root, a leading provider of EV charging infrastructure and fuel dispensing technology, used TPG's demand generation and Marketo implementation to generate $8.9 million in qualified opportunities, achieve 40 percent email engagement rates, and earn an Adobe Revvie Award for marketing excellence.
Content Strategy for Automotive & Mobility Brands
How to produce content that answers the questions buyers actually ask during the research phase, in the formats that earn AI citations and build brand consideration before a buyer ever contacts a dealer.
How do automotive brands create content that builds consideration during the research phase and earns AI search visibility before buyers reach any automotive media platform or OEM website?
Automotive brands create content that builds consideration during the research phase by building it around the specific questions buyers ask at each stage of the vehicle purchase journey rather than around the product attributes the marketing team wants to promote. Buyers in the early awareness stage ask questions about which vehicle segment is right for their needs: SUV versus sedan, EV versus hybrid versus ICE, luxury versus value. Buyers in the consideration stage ask specific comparison questions: which SUVs under $45,000 have the best safety ratings for a family with young children, which EVs have the best real-world range in cold weather, which trucks have the best towing capacity and fuel economy combination. Buyers in the evaluation and purchase stage ask questions about total cost of ownership, dealer service reputation, financing options, and trade-in value. Content built around what the marketing team wants to say about the vehicle rather than what buyers are actually asking generates brand exposure without generating consideration, because it is answering questions no buyer was asking.
Aftermarket and service brands face the inverse content challenge from OEMs and dealer groups. Their buyer is not researching a new purchase: they are an existing vehicle owner facing a service decision, often under time pressure, who wants to know which service provider is trustworthy, competitively priced, and capable of handling their specific vehicle. When an owner asks an AI assistant which tire shops near them have the best reviews for wheel alignment on a specific vehicle make, or which extended warranty companies have the highest customer satisfaction ratings and the fewest claim denials, the AI answers determine which aftermarket brands enter the consideration set. Aftermarket content strategy must address owner intent queries (service quality, pricing transparency, specific vehicle compatibility, warranty claim reliability) in AI-citation formats rather than brand awareness messaging that does not answer any specific owner question.
The AXO urgency applies to all automotive segments: buyers and owners are increasingly asking research questions directly to AI assistants before visiting any OEM website, automotive media platform, or service center. Vehicle specification data, safety rating content, ownership cost analysis, and genuine owner review signals structured for AI citation give automotive brands AI search visibility that does not depend on paid search budget or automotive media advertising. TPG builds automotive content strategies that address human search behavior and AI search behavior for every stage of the vehicle purchase journey and every automotive buyer segment, including new vehicle research, EV education, and aftermarket service decision-making.
AXO: AI Visibility for Automotive & Mobility Brands
How to ensure your vehicles, brand, and dealerships appear when buyers ask AI assistants for vehicle recommendations and comparisons before they visit any OEM website, automotive media platform, or dealership.
How do automotive brands get recommended by AI systems when buyers research vehicles before contacting any dealer?
Automotive brands appear in AI-generated vehicle recommendations by structuring their vehicle specification data, ownership cost content, safety rating information, and genuine owner review signals in the formats that AI systems can extract, trust, and cite when answering buyer queries. The automotive research shift to AI-first discovery is happening at a pace that most OEM digital marketing teams have not fully incorporated into their content strategy or budget allocation. When a buyer asks ChatGPT which EVs under $45,000 have over 300 miles of range and access to a fast-charging network in the Southeast, asks Perplexity which three-row SUVs under $55,000 have the best reliability ratings and standard captain's chairs for a family of six, asks Claude which pickup trucks have the best payload over 2,000 pounds and a 6.5-foot bed under $50,000 MSRP, or asks an AI assistant which automotive brands have the best certified pre-owned warranty programs and lowest total cost of ownership for high-mileage commuters, the AI answers determine which vehicles and brands are in the initial consideration set before any OEM website visit, any automotive media platform visit, or any dealer interaction.
For automotive brands with genuinely differentiated vehicle specifications, safety performance, or ownership economics, AXO is the research-stage investment that ensures those differentiators are represented in AI-generated recommendations rather than buried in PDF spec sheets that AI systems cannot read. An EV brand with a genuine range advantage in cold weather driving can appear in AI recommendations for cold-climate EV buyers before larger competitors with inferior cold-weather range if its range data is structured for AI citation. A truck brand with a genuine payload advantage can appear in AI answers for high-payload buyers if its payload specifications are structured in the attribute formats AI systems use to match vehicle capabilities to buyer requirements. TPG's AXO Diagnostic scores your brand's current AI visibility across ChatGPT, Perplexity, Gemini, and Claude for the specific buyer queries that matter most to your vehicle lineup and target segments, identifies the content and data gaps, and delivers a prioritized 90-day AEO roadmap by vehicle segment and buyer persona.
Measuring Revenue Marketing ROI in Automotive
How to trace marketing investment to vehicle sales influenced, customer lifetime value across ownership cycles, and prove marketing ROI to automotive finance teams using vehicle revenue rather than digital engagement metrics.
How do automotive OEMs and dealer groups prove revenue marketing ROI when the purchase cycle spans 60 to 180 days across multiple channels and an OEM-to-dealer organizational boundary?
Automotive OEMs and dealer groups prove revenue marketing ROI by building attribution models that trace the full buyer journey from the first digital engagement touchpoint through dealer visit and vehicle sale, retaining source attribution across the 60 to 180 day research-to-purchase cycle that separates most automotive buyers from their initial brand contact. The challenge is not the length of the cycle: it is the organizational boundary between the OEM and dealer that creates a data gap at the most important attribution moment, when the buyer transitions from OEM digital engagement to dealer sales conversation. Most automotive marketing teams can show impressive digital engagement metrics at the OEM level and strong sales metrics at the dealer level, but cannot connect the two in a way that demonstrates which OEM marketing programs produced which dealer sales.
The six metrics that provide a complete automotive revenue marketing ROI picture are: marketing-influenced vehicle sales by channel (the percentage of sold vehicles that engaged with OEM digital marketing during the research phase), cost per marketing-influenced sale by program, dealer traffic contribution by digital marketing source, service retention rate among marketed customers versus non-marketed customers, repurchase rate by original acquisition channel at 5 and 7 years, and customer lifetime revenue across the full ownership cycle compared to marketing cost per acquired customer. Building the attribution infrastructure to calculate these metrics requires integrating OEM marketing analytics with dealer DMS data, which most automotive marketing teams have not done. TPG builds automotive marketing attribution systems that connect OEM digital engagement to dealer sales outcomes, producing the vehicle-sales-based ROI reporting that automotive finance and marketing leadership need to defend and optimize their marketing investments.
Automotive Ecosystem Companies That Turned Marketing Into Revenue
TPG's automotive ecosystem clients span EV and fuel infrastructure, last-mile logistics, and mobility platforms. The same demand generation architecture, behavioral lead scoring, and marketing automation infrastructure applies directly to OEM and dealer marketing programs.
"The skill and flexibility of The Pedowitz Group positioned us to implement Marketo with an extremely lean team and vastly exceed our expectations of what we could achieve with marketing automation in the time we achieved it."
Daniel Englebretson, Sr. Manager Digital Marketing, Gilbarco Veeder-Root
Read the full case study →"TPG's data-driven approach and ability to tailor strategies to logistics and transportation businesses made them the ideal partner for our market launch."
The Pedowitz Group Case Study, 3PD Last-Mile Logistics Launch
Read the full case study →TPG brings the same revenue marketing infrastructure, attribution architecture, and behavioral personalization programs that drive results in adjacent industries to every automotive engagement we begin.
The Pedowitz Group, Since 2007
Start a conversation →How TPG Builds Revenue Marketing Systems for Automotive & Mobility Companies
Every automotive engagement starts with a buyer journey audit that maps the digital engagement data to dealer sales data and identifies the attribution gap, the program gap, and the AI search visibility gap simultaneously. The roadmap that follows is sequenced to close the attribution gap first, then layer in behavioral programs, AI personalization, and AXO visibility in the order that generates the highest vehicle sales contribution at each stage.
Revenue Marketing for Automotive & Mobility: Common Questions
What is revenue marketing for automotive companies?
Revenue marketing for automotive companies connects every marketing investment to measurable automotive revenue outcomes: vehicle sales influenced by digital marketing programs, service revenue generated by owner retention programs, cost per acquired customer by channel, and customer lifetime value across multiple vehicle ownership cycles. Most automotive marketing has been measured by brand awareness scores, regional media reach, and dealer traffic counts that cannot be traced to individual vehicle sales. Revenue marketing replaces these input metrics with outcomes.
For automotive brands navigating electrification, software-defined vehicles, and AI-first buyer research, revenue marketing provides the attribution infrastructure to connect digital engagement to vehicle revenue at the individual buyer level. TPG's RM6 framework operationalizes this across six pillars calibrated to long-cycle, high-consideration automotive purchases with dealer network complexity.
How does the automotive buyer journey transformation affect OEM and dealer marketing?
Automotive buyers now complete 60 to 80 percent of their purchase research before first dealer contact, using AI assistants, automotive media websites, and peer review platforms to narrow their consideration set before any dealer engagement. This means OEM and dealer marketing must win consideration during the research phase. A buyer who arrives at a dealership having already decided on a brand is close to closed. A buyer who eliminated your brand during AI research will not arrive at all.
The marketing implication: brand consideration programs, AI search visibility, and digital content that answers the specific questions buyers ask during research are more valuable than advertising that reaches buyers who have already made their consideration decision. TPG builds the digital engagement and AXO programs that ensure brands are present at the research stage where consideration decisions are actually made.
How do automotive OEMs and dealer groups measure marketing ROI across online and offline channels?
Automotive marketing ROI is measured through attribution models that connect digital engagement touchpoints to dealer sales transactions across the OEM-to-dealer organizational boundary. The six key metrics are: marketing-influenced vehicle sales by channel, cost per influenced sale, dealer traffic contribution by digital program, service retention rate among marketed customers, repurchase rate by acquisition channel at 5 and 7 years, and customer lifetime revenue versus marketing cost per acquired customer.
Most automotive marketing teams have good digital engagement data at the OEM level and sales data at the dealer DMS level, but the integration that connects them has not been built. TPG builds the OEM-to-dealer data integration and attribution models that close this gap, enabling vehicle-sales-based ROI reporting rather than digital engagement reporting.
What MarTech platforms do automotive OEMs and dealer groups use for revenue marketing?
Automotive MarTech involves three distinct layers. The dealer management system layer (CDK Global, Reynolds and Reynolds) is the system of record for all vehicle sales and service transactions. The CRM layer (Salesforce Automotive Cloud, VinSolutions, DealerSocket) manages buyer engagement and dealer sales pipeline. The marketing automation layer (Salesforce Marketing Cloud for OEM enterprise, HubSpot for dealer groups and auto technology companies, Marketo for B2B auto tech) manages digital campaigns, behavioral scoring, and lead nurturing.
The critical integration challenge is the bidirectional data flow between the OEM marketing layer and the dealer DMS and CRM layer. Without it, behavioral personalization uses incomplete data and attribution cannot trace digital programs to vehicle sales. TPG builds this integration across every platform combination, starting with the data governance agreement between OEM and dealer network before any technology implementation.
How do EV brands and charging infrastructure companies build effective marketing programs?
EV brands build effective buyer marketing by addressing four specific purchase barriers: range anxiety, charging infrastructure access, total cost of ownership uncertainty, and home and workplace charging logistics. EV buyers ask fundamentally different research questions than ICE buyers, and content structured to answer these specific questions in the formats that AI assistants can cite ensures the brand appears in EV consideration set recommendations before any OEM website or dealership contact.
B2B automotive technology marketing for charging infrastructure, telematics, and fleet electrification requires ABM programs that target the specific companies and buying committee roles with technology procurement authority. Gilbarco Veeder-Root used TPG's demand generation and Marketo implementation to generate $8.9M in qualified opportunities and 40%+ email engagement, earning an Adobe Revvie Award for marketing excellence.
How do automotive dealer groups convert online buyer research into showroom visits?
Dealer groups convert online research into showroom visits by building behavioral lead nurturing that maintains personalized engagement through the 60 to 180 day consideration period. The most effective improvement is passing OEM behavioral context to dealer CRM at the moment of buyer handoff, so the dealer's first contact addresses what the buyer was actually researching rather than starting from scratch. Behavioral scoring on website engagement, configurator activity, and inventory page views identifies high-intent buyers before lead form submission, enabling proactive engagement at higher purchase probability.
Proactive behavioral nurture for high-intent non-submitted leads converts at 2 to 4 times the rate of cold form submissions because the engagement is relevant to what the buyer was researching. TPG builds these programs and the OEM-to-dealer data integration that makes them possible.
How do auto technology companies build B2B marketing programs for OEM and dealer customers?
Auto technology companies build B2B marketing for automotive customers using account-based marketing that targets specific OEMs, dealer groups, and fleet operators most likely to need the solution, delivering persona-specific content to each buying committee stakeholder simultaneously. The automotive technology buying committee includes the CTO (integration and scalability), CMO (customer experience impact), CFO (total cost of ownership), and dealer operations team (implementation complexity). ABM sequences are timed to automotive procurement calendars, which align to model year planning cycles and dealer network conference schedules.
Gilbarco Veeder-Root used TPG's ABM-informed demand generation to generate $8.9M in qualified opportunities and $1.5M in new pipeline within the first week of program launch. The same architecture applies to any automotive technology vendor targeting OEM or dealer procurement.
What is AXO and why do automotive brands need it now?
AXO stands for AI Experience Optimization, and it is TPG's methodology for ensuring automotive brands appear when buyers ask AI assistants for vehicle recommendations before any OEM website or dealer contact. When a buyer asks ChatGPT which EVs under $45,000 have over 300 miles of range in the Southeast, asks Perplexity which SUVs under $55,000 have the best reliability for a family of six, or asks Claude which trucks have the best payload under $50,000, the AI answers determine the consideration set before any paid media reaches the buyer.
For brands with genuine vehicle differentiators, AXO ensures those differentiators are represented in AI answers rather than buried in spec sheets AI cannot read. An EV brand with real cold-weather range advantage can appear in cold-climate EV recommendations if its data is AI-structured. A truck brand with genuine payload advantage can appear in high-payload buyer queries if its specs use AI-citation formats. TPG's AXO Diagnostic scores your visibility across four AI platforms and delivers a 90-day roadmap by vehicle segment and buyer persona.
The Model Year Campaign Is Dead. Win Before the Showroom.
TPG has built revenue marketing systems for automotive ecosystem companies that connect digital buyer engagement to vehicle sales, service revenue, and customer lifetime value. Gilbarco Veeder-Root: $8.9M in qualified opportunities. 3PD: 50% lead conversion increase. 19 years of practice. One guarantee: results or you don't pay.
Satisfaction guaranteed: redo or no charge.