Urban AV Pricing in the U.S.
Methodology
Type of Study
Methodology
Sample Size
Location
Industry
Segment
Sub-Segment
Target Audience
the challenge
AV mobility operators and smart-city partners were under pressure to prove demand while protecting unit economics. Teams debated whether per-ride discounts drive meaningful trial, whether subscriptions can lock in repeat usage, and whether employer-sponsored passes can accelerate volume in dense downtown corridors. Without a robust, demand-side view of price sensitivity, willingness to switch from existing modes, and which pricing constructs resonate by audience, stakeholders lacked confidence in the go-to-market plan. They needed evidence that would supported decision-making on pricing pilots, partnership strategy, and launch sequencing.
Our Approach
InnResearch designed an ad hoc quantitative study to quantify pricing preference and conversion pathways across key ecosystem audiences. The framework was built to: Compare pricing model appeal and adoption likelihood (discounts vs subscription vs employer-sponsored) Measure willingness-to-pay and switching intent versus rideshare, public transit, and personal car usage Identify decision drivers (predictability, savings, convenience, perceived safety, reimbursement ease) by segment Simulate pricing scenarios with trade-offs to forecast uptake and churn risk This approach delivered actionable insights that translate directly into testable pricing packages and partner offers.
Key Insights
Subscriptions won for retention, not trial: Subscriptions over-indexed among frequent urban riders who value predictability, while per-ride discounts were strongest for first-time trial but showed weaker repeat intent. Employer-sponsored passes were the fastest volume lever: Mobility benefits managers showed higher willingness to pilot employer-paid AV credits when reporting and reimbursement were simple—unlocking commuter adoption without heavy consumer discounting. Price sensitivity was secondary to reliability thresholds: Riders accepted moderate price premiums versus transit only when wait times and route reliability met minimum expectations; otherwise even steep discounts did not prevent churn. The “best” model depended on corridor and commute pattern: Downtown commuter corridors favored employer and subscription bundles, while nightlife/event travel favored per-ride offers tied to time windows and safety messaging.
Impact
The study enabled stakeholders to prioritize pricing packages by audience and trip mission, aligning city partners, employers, and operators on a common pilot roadmap. It supported decision-making on which pricing experiments to run first, how to structure employer partnerships, and where discounting would (and would not) improve conversion. The work helped brands avoid margin-eroding promotions by focusing incentives where they truly change behavior, and delivered actionable insights to optimize uptake, retention, and partner alignment.
Conclusion
InnResearch translated competing pricing hypotheses into a clear, evidence-backed playbook for urban AV mobility. By quantifying adoption triggers, willingness-to-pay, and the operational thresholds required for pricing credibility, the ad hoc study provided a practical foundation to launch, test, and scale AV services in U.S. smart-city environments.