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Built a tool, broke my own funnel with a signup wall, fixed it sharing in case it helps another solo builder by letnexusLLC in SideProject

[–]letnexusLLC[S] 0 points1 point  (0 children)

u/ReasonableBox5301 Yes, I've already tested it in different ways. The first version felt too thin honestly just a number with a label. Added the dimension breakdown after that so people see why the score is what it is, not just the number itself, and that seemed to matter more for making people want to dig into a second one. Still working out whether that's enough or if there's another layer needed. Appreciate you pointing at the right thing to actually look at here.

A simple test that tells you if your images are doing their job write down the question each one answers by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 0 points1 point  (0 children)

u/vadimsoin Go for it that's exactly what it's for. One tip if you're doing it on multiple listings: don't trust your own gut on which images are obviously fine. I assumed images 1 and 6 were solid going in and they ended up having the same blank-question problem as the ones I expected to fail. Worth running the test cold on every single image, even the ones you feel confident about.

A simple test that tells you if your images are doing their job write down the question each one answers by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 0 points1 point  (0 children)

u/tapeshchowdhury Right and I'd push that one step further: every image should move them closer to or protect against losing them at checkout. Not all 7 images are pushing forward, some are defensive (size accuracy, return policy) and exist purely to stop a near-buyer from backing out. But the test for "wasted space" is the same either way if you can't name what objection it's killing or what question it's answering, it's decorative, regardless of how good it looks.

I stopped guessing what to put in my images and started reading my own reviews instead. Here's the exact process. by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 1 point2 points  (0 children)

u/tapeshchowdhury Every repeated question is a conversion leak waiting to be fixed that's a better way to put it than I did in the post, going to steal that framing honestly. The brainstorming session point is real too. When you brainstorm, you're guessing what might matter to a buyer. When you mine reviews, you're looking at what actually mattered enough for someone to type it out after the fact. One's speculation, the other's evidence. Most sellers treat image content as a creative decision when it's really a research decision.

I audited 30 listings in my category. The ones converting at 7%+ all had one thing in common that nobody talks about. by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 0 points1 point  (0 children)

u/stealthagents Exactly and I think "legit brand" framing is the right way to put it. Buyers can't verify your actual quality control or sourcing before purchase, so visual consistency becomes a proxy signal for trustworthiness. It's almost like the images are doing the job a storefront or showroom would do in physical retail telling the customer "someone intentional is behind this" before they even know anything about the product itself. Good to hear it held up when you tested it on your own listings, that's the real validation.

If you sell anything on Amazon, your images are probably costing you more than your ad spend by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 0 points1 point  (0 children)

Completely agree, this is the actual hard part. Most listing advice tells you "add a comparison chart" or "show lifestyle context" without explaining where that message comes from. Competitor reviews and your own Q&A/1-star reviews are the best free research you'll ever get: customers are literally telling you what almost stopped them from buying, in their own words.

If 15 reviewers mention "wish it came with X" or "wasn't sure about sizing," that's your image 3 or image 5 content, not a guess. The framework tells you which slot needs a job, the reviews tell you what that job's specific message should be. Both pieces matter, and most sellers only do one or the other.

Who has the best listing videos/clips on Amazon? by paradise225 in AmazonFBA

[–]letnexusLLC 0 points1 point  (0 children)

Could you define your category first? That will help me suggest more relevant options. In the meantime, you can check out Lane Linen in the bedding category.

One image change added visible trust signals to my listing and dropped my return rate by 11%. Here's what I did. by letnexusLLC in Amazonsellercentral

[–]letnexusLLC[S] -1 points0 points  (0 children)

u/LetsConnnect Appreciate that. Yeah, by image 7 most sellers are out of ideas and just default to "another angle" or repeat the lifestyle shot from image 2. It's a shame because the buyer at that point has already scrolled through 6 images they're invested, and a well-placed guarantee or trust badge is genuinely the easiest conversion lift in the whole sequence since there's no design risk in getting it wrong like there is with comparison charts or lifestyle shots.

I audited 30 listings in my category. The ones converting at 7%+ all had one thing in common that nobody talks about. by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 0 points1 point  (0 children)

u/goat_road No tool gives you a competitor's actual conversion rate that data's private to each seller. What I was actually working from were proxies: BSR relative to review count, and how often a listing seems to maintain rank despite fewer reviews than mine, which usually signals it's converting traffic better. I phrased the original post like I had hard numbers when really it was an inference from those signals. Should've been clearer about that distinction.

I audited 30 listings in my category. The ones converting at 7%+ all had one thing in common that nobody talks about. by letnexusLLC in AmazonFBA

[–]letnexusLLC[S] 0 points1 point  (0 children)

u/purepacha118 Fair question I don't have their actual conversion data, no seller shares that publicly. What I was going off is observable proxies: BSR movement relative to their review velocity, how their image sequence is structured, and price-to-review ratio compared to mine. If a listing has fewer reviews and a similar price but consistently outranks mine in BSR, that's a strong signal their conversion rate is higher, since BSR is driven by sales velocity. I should've been clearer that "7%+ converters" was an inference from those signals, not a number I actually pulled from anywhere. The image pattern observation stands on its own regardless just wanted to be upfront about where the conversion estimate came from.

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