Photo one's job is the click. It pulls them in from the search grid. Photo two's job is completely different — it's where the buyer decides if they trust you.
If photo two is just photo one again from a slightly different angle, you've burned the slot. The four shots that actually sell: front, back, label close-up, and any flaw or wear shown honestly. The flaw photo is the counterintuitive one — buyers expect honest sellers to show defects, and listings that hide them get returned more often, which is what the algorithm is quietly tracking.
Listings with a clean four-photo sequence convert about a third better in my own data than the same listings with three near-identical front shots. VintSnap can't take the photos for you, but it'll write the description to match what the photos actually show — including a one-line condition note for any flaw the photo flags.
If photo two is just photo one again from a slightly different angle, you've burned the slot.
Part of our Reseller economics series — field notes from building VintSnap.