Key Takeaways
- 92% of aftermarket customers use mobile apps for booking appointments
- Online reviews influence 78% of aftermarket service choices
- 65% prefer video explanations of repairs via apps
- Aftermarket revenue from digital channels projected to grow 15% YoY to $50B by 2025
- 55% of customers expect aftermarket personalization via AI by 2026
- Sustainability drives 62% preference for eco-friendly parts in aftermarket
- 73% of loyal aftermarket customers return if offered loyalty discounts over 10%
- Repeat business increases by 40% with post-service satisfaction surveys
- 81% retention rate for shops providing free shuttle services
- 56% of aftermarket customers cite poor communication as top detractor from satisfaction
- 63% complain about upselling tactics during routine oil changes in aftermarket visits
- Wait times averaging 4.2 hours lead to 52% negative feedback in aftermarket surveys
- 68% of automotive aftermarket customers rate their overall experience as excellent when provided with transparent pricing upfront
- In a survey of 12,000 aftermarket service users, 74% indicated that quick turnaround times under 2 hours boosted their satisfaction scores by 25%
- 82% of customers in the aftermarket sector prefer shops using diagnostic tools that explain issues in layman's terms, leading to a 15% higher Net Promoter Score (NPS)
Aftermarket CX is winning with mobile, transparent pricing, and digital updates, driving higher satisfaction and retention.
Digital and Omnichannel
Digital and Omnichannel Interpretation
Industry Trends
Industry Trends Interpretation
Loyalty and Retention
Loyalty and Retention Interpretation
Pain Points and Complaints
Pain Points and Complaints Interpretation
Satisfaction Metrics
Satisfaction Metrics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Gabrielle Fontaine. (2026, February 13). Customer Experience In The Automotive Aftermarket Industry Statistics. Gitnux. https://gitnux.org/customer-experience-in-the-automotive-aftermarket-industry-statistics
Gabrielle Fontaine. "Customer Experience In The Automotive Aftermarket Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-in-the-automotive-aftermarket-industry-statistics.
Gabrielle Fontaine. 2026. "Customer Experience In The Automotive Aftermarket Industry Statistics." Gitnux. https://gitnux.org/customer-experience-in-the-automotive-aftermarket-industry-statistics.
Sources & References
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- Reference 7SEMAsema.org
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- Reference 8ICARTEAicartea.com
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