Urban Science today announced the launch of VIN Append, a new data quality offering that enhances dealership and original equipment manufacturer (OEM) customer relationship management (CRM) system efficiency and effectiveness by updating outdated customer records to include their service interactions with independent repair facilities (IRFs). This keeps customer data up to date and aligned with real-world ownership and service activity — especially as vehicle age grows — allowing OEMs and their dealerships to better position their marketing strategies to increase revenue and service retention throughout vehicle lifecycles.

OEMs and dealerships face significant challenges due to the declining quality of customer data over time. This deterioration leads to marketing blind spots, particularly when customers visit IRFs, and can result in inefficient marketing efforts targeting customers with service offerings they no longer need – for vehicles they no longer own. Contributing factors include vehicle age, ownership changes, customer relocations and delayed or missing registration updates. These inaccuracies lead to wasted marketing spend, a poor customer experience, inefficiencies across the dealer network, difficulties in completing warranty work and missed opportunities to capitalize on actual service revenue opportunities.

Urban Science recommends OEMs and dealers use VIN Append to scrub their service data on a quarterly basis to ensure accuracy and integrity. The enhanced data delivered through VIN Append fuels ServiceView, Urban Science’s flagship aftersales solution, which empowers OEMs – and dealers provided access by their OEMs – to optimize dealership service operations and planning.

根据 2025 Urban Science Harris Poll Study*, 60% of auto buyers see general repair shops as better value than dealerships. This is significant as the cost of servicing vehicles is the number three concern plaguing auto buyers in 2025, and when a customer chooses to visit an IRF for any reason, doing so creates a dealer-level blind spot regarding that customer’s service needs.  Through VIN Append, what was once a blind spot is now an opportunity. Use cases include:

  • Inactive customer detection and reactivation – learn where customers who may have fallen off are in their ownership journey and reactivate them with a relevant offer.
  • Recall completion support — identify current vehicle owners, especially ones with older vehicles, enabling outreach for open recalls.
  • Dealer reassignment — share updated customer data with relevant dealers in the area to support timely outreach and improve service retention.

Those interested in learning more about VIN Append can 点击这里 or reach out to their Urban Science representative.

关于 ServiceView 
ServiceView is Urban Science’s advanced aftersales performance solution designed to help automotive OEMs and dealers uncover actionable insights, optimize service operations and drive measurable growth. ServiceView leverages vital service department data and Urban Science’s unrivaled daily industry sales data to deliver a holistic view of performance across networks and dealerships—pinpointing missed opportunities, improving retention and maximizing revenue. With a flexible suite of add-on capabilities, including capacity planning, recall compliance and parts potential analysis, ServiceView empowers users to turn every service interaction into a long-term customer relationship.

*This survey was conducted online by The Harris Poll on behalf of Urban Science among 3,026 US adults aged 18+ who currently own or lease or plan to purchase or lease a new or used vehicle in the next 12 months (referred to in this report as “auto-buyers” or “auto-buying public”) and 254 U.S. OEM automotive dealers, whose titles were Sales Manager, General Manager or Principal/VP/Owner.
The auto-buying public surveys were conducted from January 10 to February 4, 2025. Data are weighted where necessary by demographics to bring them in line with their actual proportions in the population. The dealer survey was conducted January 9 to January 30, 2025. Data were weighted as needed based on the average of current and previous waves for gender, car types sold, job title and urbanicity.
The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within ±2.2 percentage points for U.S. auto-buyers and ±7.1 for U.S. OEM automotive dealers using a 95% confidence level.