Most automotive post-visit surveys see response rates below 20%. That means OEM satisfaction benchmarks are built on data from the customers who respond, not the ones who leave.
Dealer service revenue hit an average of $9.23 million per store in 2025, according to Cox Automotive's Fixed Ops and Ownership Study. That is a 33% increase since 2018. On the surface, the numbers look strong. Customer satisfaction programmes are running. Surveys are going out. Scores are coming back.
The question most OEMs are not asking is: who is actually responding?
Survey response rates in automotive post-visit programmes typically sit below 20%. In many networks, the real figure is closer to 10-15%. That means the satisfaction data feeding brand-level CX benchmarks is drawn almost entirely from a narrow slice of customers who chose to engage. The customers who felt indifferent, frustrated, or quietly decided not to return are largely absent from the picture.
This is not a data quality footnote. It is a structural problem in how OEMs understand customer experience across their dealer networks.
The Customers Who Don't Respond
The Cox Automotive research is instructive here. Forty-five percent of dealership service customers reported at least one frustration during their visit. The top complaints were service taking too long, pricing opacity, feeling pressured on upsells, and final costs exceeding the original estimate.
Now consider how those customers are likely to behave when a post-visit survey arrives. A customer who felt respected and well-served has a reason to say so. A customer who felt rushed, overcharged, or brushed off is more likely to simply not engage. They have already moved on.
The result is a data set weighted toward positive experiences by design, not by reality. OEMs reviewing aggregate satisfaction scores across a network are, in many cases, measuring the sentiment of their most forgiving customers.
What the Gap Looks Like at Brand Level
This matters differently for OEMs than it does for individual dealers. A dealer can absorb a satisfaction metric that looks acceptable even when service quality is inconsistent, because the sample size is small and the feedback pool is self-selecting. Across hundreds of locations, those same distortions multiply.
An OEM relying on survey-based satisfaction benchmarks to assess brand performance is working with a filtered view. The regions, segments, or dealer profiles most likely to have a frustrated and non-responding customer base may look broadly comparable to high-performing locations, simply because the dissatisfied customers are not in the data.
Cox Automotive found that dealer share of service visits has dropped from 33% to 29% since 2018, despite record revenue. The sharpest losses are among newer vehicles, the exact ownership cohort where brand loyalty is still forming. The service revenue is there. The relationships, in many cases, are not. Those defecting customers are not showing up in satisfaction surveys either.
Satisfaction Scores and the Retention Gap
The link between service experience and long-term loyalty is well established. Cox Automotive found that buyers who returned for service were nearly twice as likely to repurchase from the same dealer, with a 74% repurchase likelihood compared to 44% among those who did not return for service.
The gap between those two numbers is where unresolved CX problems live. And for OEMs, the challenge is that satisfaction data, as it is typically collected, cannot reliably identify which customers are on which side of that gap.
A customer who attended one service visit, had a frustrating experience, and silently moved to an independent workshop did not register a complaint. They did not respond to a survey. They are simply absent from the brand's view of its own performance. At scale, across a large dealer network, that absence accumulates.
A Different Question to Ask About Feedback
The conventional frame for customer feedback in automotive is satisfaction measurement: how did this visit go? That is a useful signal, but it is retrospective, and it only works if the right customers are completing it.
The more useful question for OEMs is about coverage. What proportion of customers who visited a dealer location in a given period are represented in the feedback data at all? Where are the gaps, and what kinds of customers are most likely to fall out of the sample? Are the customers who defect from the brand the same customers least likely to complete a survey?
These are not operational questions for individual dealers to resolve. They are brand intelligence questions, and they require visibility across the network rather than location-by-location survey summaries.
OEMs that treat their satisfaction programmes as a performance reporting tool are measuring what they have. The brands investing in a broader understanding of feedback coverage are starting to understand what they are missing.