Two cheap cars. One is earning. The other is occupying space.
The Yaris and the Volt cost roughly the same to acquire. Twelve months later, one out-earned the other by 2x. Here's the data behind the decision I'm about to make.
Cheap inventory looks attractive on paper. Whether it earns its slot is a separate question.
Every Turo host eventually faces this: add cheap cars you can swap fast, or run fewer premium vehicles that command higher daily rates? I treated it as a unit-economics problem instead of a vibes question. Two cars, same price band, same fleet, very different outcomes. The story is a worked example of how to read fleet performance like an analyst, not a hobbyist.
- Cohort analysis
- Unit economics
- Yield framing
- Sensitivity testing
- Counterfactual reasoning
- Buy / hold / sell framework
- Data storytelling
- Investment write-up
- The Yaris generates $7,850/yr. The Volt generates $16,231/yr. Both cost about $9,000 to acquire.
- The Volt is the highest-ROI car in the fleet at 191% annual revenue-to-acquisition. The Yaris is one of the lowest at 83%.
- The bottleneck isn't price. It's utilization. The Volt rents 65% of the year. The Yaris rents 39%.
- Recommendation: sell the Yaris, redeploy the slot. Keep the Volt and consider a second one.
I run a five-vehicle Turo fleet in the South Bay. Three Teslas, a 2014 Chevy Volt, and a 2018 Toyota Yaris iA. The Teslas dominate revenue. That's expected. What's not expected is how different my two cheap cars look once you put them next to each other.
This is a question I've been quietly avoiding for about three months. I bought the Yaris in early 2024 thinking it would be the "always-booked, low-rate, high-volume" car in the fleet. The data is telling me a different story.
A note on the data. Numbers come from trip-level Turo earnings exports, with each trip carrying start_date, days, distance, gross earnings. I derive $/booked-day (revenue normalized for trip length) and utilization (booked days / 365) from those four fields. The fleet baseline is 354 trips across 12 months. For the public version of this story I've used calibrated synthetic data that preserves the real ratios and rank order, so the comparisons are real but the absolute numbers are within ~5% of actuals.
01Revenue contribution
Start with the basic question: who earns what? Trailing twelve months of revenue, sorted.
Both cheap cars sit at the bottom of the chart, which is what you'd expect. What's not intuitive is the spread between them. The Volt out-earns the Yaris by $8,381 a year. That's a meaningful gap when both vehicles cost roughly the same and consume the same operational footprint.
02Daily rate
One easy hypothesis: the Yaris is just priced lower. Let's check.
The Yaris's ADR is $55, the Volt's is $68. That's a 24% gap on price. But the revenue gap is 107%. So price explains some of it, not most of it. The other 80%-ish has to come from somewhere else.
If price isn't the story, utilization is.
03Utilization
This is where the picture sharpens. Utilization is the percentage of available days the car was actually rented. It's the closest thing a fleet operator has to a single number that says "is this car earning its slot."
This is the finding that changes the decision. The Volt isn't earning more because it's a better car. It's earning more because it gets booked. The Yaris doesn't have a pricing problem. It has a demand problem.
Why? A few things, in order of likelihood. The Yaris is a basic economy sedan in a market full of basic economy sedans. The Volt has a small Bay Area cult following (cheap to fuel, plug-in capable, EV-curious renters love it). The Yaris's listing photos are weaker than the Volt's. And the Yaris has a 4-cylinder ICE drivetrain in a region where Turo renters increasingly default to "anything with a plug."
04Revenue per slot
The single most useful metric for a fleet operator isn't ROI or revenue. It's revenue per car-slot: how much money each operational position in the fleet generates. Every car requires roughly the same operational overhead (listing maintenance, customer messaging, photos, maintenance coordination), so the slot is the constraint, not the dollar.
The Volt earns the slot it occupies. It's a 39%-of-top performer at a fraction of the acquisition cost, which makes it the highest ROI position in the fleet. The Yaris does not. It's a 19% slot at the same operational cost.
05The decision
Sell the Yaris in Q3 2026. Redeploy the capital and the slot.
The Yaris isn't the worst car on any single metric (the Teslas cost more, the Volt has older interior). It's the worst car on the metric that actually matters: revenue per operational slot. Selling it frees ~$7,500 of capital and one fleet slot, both of which can be redeployed into a vehicle that earns its keep.
The Volt stays. It's the highest-ROI car I own. I should consider buying a second one if the listings allow.
- One year of data is short. The Yaris's low utilization could partially reflect a soft demand cycle, not a permanent ceiling.
- I haven't A/B tested better Yaris listing photos or a price cut. There's a version of "fix the listing first, then decide" that I haven't run.
- Operational overhead per car is an estimate, not measured. If the Yaris is actually cheaper to maintain than I think, the slot argument weakens slightly.
- Selling adds friction (DMV, finding a buyer, possible gap before redeployment). The decision needs a runway plan, not just a target.
From insight to ledger entry.
I ran a 30-day Yaris listing test (better photos, a $7/day cut, and a dedicated airport-pickup blurb). Utilization moved from 39% to 44%, which clears the threshold to keep the car in the fleet through the summer travel cycle but does not change the long-term call. The Yaris is listed for sale at the end of Q3 2026 with a $7,500 floor.
On the Volt side: I'm actively shopping a second 2013 to 2015 Chevy Volt in the $7k to $9k range. If acquired, the model predicts a fleet-level revenue lift of roughly $14k per year at the same operational footprint as today.
This is the part of the analysis that matters to me: a number on a chart became a transaction in a checkbook. Without that round trip, the dashboard is theater.
Want to see the dashboard this came from?
This story used four charts. The dashboard those charts came from has 14, plus filters, statistical tests, and outlier detection.