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Case study 05Automotive · Marketplace · Prime

Ever

Customer-facing reservation and sell-your-car flows for a national used-EV marketplace, built to raise engagement and conversion on a high-consideration purchase.

The challenge

Selling a car online, where nobody clicks buy on impulse

A used electric vehicle is among the largest purchases a consumer makes without touching the product first. The funnel is long, the research is heavy, and the decision routinely spans days and devices, which makes every step where state can be lost expensive.

The sell side inverts the problem: a customer arriving with a car to trade wants a number quickly, from a plate or VIN, before they will engage with anything else. Both flows had to expand without turning into the multi-step forms that dealership software is notorious for.

Our approach

Expand the flows without lengthening them

We worked inside the existing product rather than around it, extending the reservation and sell paths with a typed data layer underneath so schema changes stayed safe as the flows grew.

01
Reservation flow

Extending the path from browsing to holding a specific vehicle, so intent captured early survives the length of a considered purchase.

02
Sell and trade-in flow

The plate and VIN entry path that produces an offer, built to reach a number with as little asked of the customer as possible.

03
Typed data layer with Drizzle

A schema-first ORM layer over PostgreSQL, so model changes surfaced at compile time rather than in production.

04
Instrumented for conversion

Flows built so their steps are measurable, making it possible to tell which changes moved conversion and which only moved opinion.

Outcome

Wider funnel on both sides of the marketplace

The reservation and sell flows shipped into a production marketplace that has raised $100M and sells certified pre-owned EVs nationally, both online and through physical showrooms.

Surface
Customer
public marketplace flows
Focus
Conversion
reservation and sell paths
Status
Delivered
live nationally

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