Yes — with nuance worth understanding. The most rigorous evidence comes from economists studying eBay Motors, the largest online used-car market of its era, and their consistent finding is that listings carrying more photographs achieve higher prices, attract more bidders and sell more often. The effect is largest for exactly the reader of this guide: the private seller. But one published study found no effect at all, so it pays to know what the research does and doesn't claim before you spend a Saturday with a bucket and a microfibre cloth.
If you remember one thing: a sparse photo set doesn't just fail to impress — it can read as concealment. Buyers discount what they can't see, and the research suggests they discount it hard.
What the big studies found
The heavyweight result is Gregory Lewis's study in the American Economic Review, which analysed tens of thousands of eBay Motors listings (working paper, Harvard). Running hedonic regressions across the listings, Lewis found a "large, significant and positive relationship between auction prices and the number of photos and bytes of text" on the listing page — larger, notably, than the relationship between price and the seller's feedback rating.
More importantly for cause-and-effect sceptics, the study didn't stop at correlation. At the time, eBay charged sellers per photo, and dealers used different listing software of varying clunkiness. When dealers upgraded to better software — slashing the effort of building a photo-rich page — those same dealers posted far more photos and obtained higher prices. Because the software upgrade shifts the cost of disclosure rather than the quality of the cars, it gives the finding a causal reading: making photos easier to add led to more photos and higher prices (Lewis, AER 2011).
A second large study reached the same destination by a different road. An honours thesis from the City University of New York examined 80,000 completed eBay Motors used-car auctions and tested the effect of an additional photo on three outcomes: bid prices, the number of bidders, and the probability the car sold at all. All three rose with each extra photo. The sharpest edge in that data cuts toward private sellers: the marginal effect of each additional photo was significantly and substantially greater for non-dealer sellers than for dealers — presumably because buyers already extend some baseline trust to a professional lot, while an individual's listing has more to prove.
An earlier and much smaller pilot points the same way. A 2004 study of 47 Honda Accord auctions (Sena & Braun, AMCIS) found listings with more pictures achieved higher winning bids relative to Kelley Blue Book values, with a regression estimate of roughly $86 of winning-bid price per additional picture. The authors themselves flagged the tiny sample — treat the dollar figure as a conversation starter, not a rate card.
Why photos move the price
The mechanism the economics literature proposes is older than the internet. Used cars are the textbook "market for lemons": the seller knows the car's true condition and the buyer doesn't, so buyers rationally assume the worst and lowball everything. Photos attack that problem from two directions.
First, they make the listing a precise contract. As Lewis puts it, the webpage defines the deal — "to deliver the car shown" — and rich media like photos define those terms far more tightly than prose alone (AER). A buyer who can see the seat bolsters, the boot lining and the service stickers is being asked to trust less.
Second, disclosure is selective, and buyers know it. In the same data, higher-quality cars attracted more photos and text, not less — good cars have nothing to hide and their sellers behave accordingly. The uncomfortable corollary is what a thin listing signals. Six dark photos and two lines of text doesn't read as neutral; against the backdrop of selective disclosure, it reads as a car whose seller couldn't afford more evidence. Related research on product uncertainty in online markets formalises the point: the harder it is to evaluate the product from the listing, the lower the price premium buyers will pay (Pavlou et al., SSRN).
There's also a blunt historical footnote that lands in your favour: when Lewis wrote, eBay charged 15 US cents per photo, and he showed those frictions measurably suppressed both disclosure and prices. Every major Australian platform now includes photos free, which removes the cost side of his equation entirely.
The evidence isn't unanimous
Honesty requires the counterexample. A study in the Atlantic Economic Journal analysing eBay used-car auctions found that "the quality of the presentation and number of pictures did not enhance the price premium in any of the models" — clear title and dealer status mattered, pictures didn't.
So which is it? Differences in method plausibly explain the divergence: the null study measured price premium among auctions that already had bids, controlled differently, and covered a period and product mix of its own. The broader literature — including the largest datasets and the only causal test — leans firmly toward photos mattering. The fair summary for a seller deciding how many photos to take is not "guaranteed dollars per photo" but this: no credible study found that more genuine photos hurt your outcome, several well-powered ones found they help, and the mechanism (buyers pricing what they cannot see) applies to any online marketplace, auctions or not.
It's also worth saying plainly what the research doesn't cover: we could find no equivalent public study of Australian classifieds sites specifically. The US auction evidence is the best there is, and its central logic — information asymmetry between private buyer and private seller — transfers cleanly, but anyone quoting you an exact dollar figure per photo for Gumtree or carsales is extrapolating beyond the published record.
What this means for your listing
Translated into practice, the research supports a short checklist:
- Cover the car, not just its best angle. Exterior from every quarter, both sides of the interior including seats folded, boot, engine bay, odometer, wheels and tyres. carsales' own help material tells sellers its "data shows that better quality photos attract more views and potential buyers" and recommends giving buyers "as much as possible… from more angles" (carsales Help Centre); its dealer guidance goes further and suggests around twenty photos per vehicle (carsales Business).
- Photograph the paperwork. In Lewis's fieldwork, serious sellers photographed invoices and independent inspections alongside the car itself. A shot of the logbook's stamps costs nothing and answers the question serious buyers will ask anyway.
- Show flaws deliberately. If disclosure is selective and buyers suspect silence, the scratch you photograph becomes evidence of candour everywhere else. The seller who documents the known defect is, in the data's own logic, signalling that the rest of the listing can be trusted.
- Make the first photo deliberate. Everything above concerns price; the cover image governs whether anyone opens the listing at all. Shoot it clean, square-on and uncluttered, in decent light.
For the full how-to — lighting, backgrounds and a complete shot list — see our seller's playbook, which walks the whole preparation sequence step by step.
What this means if you're selling on MotorLoop
Listings on MotorLoop are free, carry up to 20 labelled photos — enough to run the full exterior, interior, detail and paperwork set the research describes — and support per-photo captions so an engine-bay shot can say what it's showing. Buyers browsing /cars/sales/used see every photo full-size before they contact you, and messages go through the platform so your number stays yours. If the economists are right that disclosure lowers the trust barrier, twenty honest photos is the cheapest price improvement available to a private seller.