u/lbaker0050

If you could catch ONE THING before buying inventory, what would it be?
I’ve been thinking about how many products can look great during sourcing and still turn into bad buys later.
If you could know about one potential problem before putting money into the inventory, what would you want to catch?
Amazon jumping on the listing?
Too many sellers coming in?
Price instability?
Margins being thinner than they initially looked?
Slow sell-through?
Something else entirely?
Curious what everyone considers the biggest “I wish I’d caught that before I bought it” problem.

I’ve been thinking about this more lately.
Say you find an OA product today and everything looks good. Good ROI, decent demand, seller count looks reasonable and the price history checks out.
But it’s going to take 2–3 weeks between ordering, prep and actually getting it available for sale.
How much does that change your decision?
Do you actually factor lead time into whether you buy, or mostly make the decision based on what the ASIN looks like today?
Seems like a lot can change in 2–3 weeks. Price drops, more sellers jump on, Amazon comes back in stock, demand slows down, etc.
Curious how experienced OA sellers account for that??

“What’s burned you more in OA: price tanking, competition jumping in, bad demand estimates, or fees you underestimated?”

If a tool could reliably help you avoid bad inventory purchases before you spent your money… would you actually use it?

What’s the biggest mistake you’d want it to catch?

Amazon jumping on the listing?
Too many sellers?
Thin margins?
Hidden fees?
Something else?

If a tool could reliably help you avoid bad inventory purchases before you spent your money… would you actually use it?

What’s the biggest mistake you’d want it to catch?

Amazon jumping on the listing?
Too many sellers?
Thin margins?
Hidden fees?
Something else?

If a tool could reliably help you avoid making bad inventory purchases before you spent your hard earned money...would you actually use it??

What's the biggest mistake you'd want it to catch?

• Amazon jumping on the listing?
• Too many sellers?
• Thin margins?
• Hidden fees?
• Something else?

Most of them hand you a score. "This product: 78 out of 100."

Cool. So… is that a buy?

You still have to sit there and decide what 78 means. Is 78 good? Is it good enough for THIS category? Would 82 have changed your mind? You're back to second-guessing — which is the exact thing the tool was supposed to fix.

I don't want a score. I want a decision.

After enough of those "hmm, 78, I guess?" moments, I started building around one rule: give me a straight answer. BUY, MAYBE, or PASS. Show me the why underneath if I want it — but lead with the call.

Turns out that one change fixes 90% of sourcing paralysis. You're not interpreting a number anymore. You're just deciding to buy it or move on.

Anyone else tired of tools that give you homework instead of an answer? I'd be interested to hear all of your answers.

Curious to hear everyone’s stories..

Have you ever found a product that looked great on paper, great ROI, decent demand, everything seemed to checkout-but after buying inventory, you realized you missed something? What was it?

What was the competition like?

Was Amazon on the listing?

Were the fees high?

Did the price tank?

Or anything else?

Looking back, what would have helped you catch it before spending the money?

What’s an Amazon rule you’ve made for yourself that you refuse to break?
Could be anything.
Maybe you won’t buy if Amazon is on the listing.
Maybe you avoid certain categories.
Maybe you require a minimum ROI.
What’s one rule that’s saved you money?

What’s an Amazon rule you’ve made for yourself that you refuse to break?
Could be anything.
Maybe you won’t buy if Amazon is on the listing.
Maybe you avoid certain categories.
Maybe you require a minimum ROI.
What’s one rule that’s saved you money?

If two sellers are looking at the exact same product and one buys while the other passes...what do you think separates the good decision from the bad one?

Curious to hear how all my Amazon sellers think about this..

If two sellers are looking at the exact same product and one buys while the other passes....what do you think separates the good decision from the bad one?

Curious to hear how all my Amazon sellers think about this one?

Quick question:

What’s caused you to lose more money on Amazon?
A) Buying the wrong product

B) Not buying the right product

Interested to hear people’s experiences.

If you could add one warning label to every Amazon product before buying inventory, what would it be?

Examples:

• "Amazon entered this listing 3 months later."
• "Returns were double the category average."
• "Demand dropped 40% after Q4."

What's the one thing you wish you knew before buying?

If you could add one warning label to every Amazon product before buying inventory, what would it be?

Examples:

• "Amazon entered this listing 3 months later."
• "Returns were double the category average."
• "Demand dropped 40% after Q4."

What's the one thing you wish you knew before buying?

What’s one metric you refuse to ignore before buying inventory? For some sellers it’s ROI. For others it’s seller count, Amazon on the listing, BSR, or profit.
If you could only keep ONE metric and lose all the others, which would it be?

I’ve been digging into FBA product research lately — specifically trying to understand the gap between what looks good in the numbers (margin, BSR, demand signals) and what actually happens once a product is live.

I keep hearing the same thing from different sellers: a product checks every box going in, the math works, the listing looks clean, and it still flops. I’m curious what that actually looks like in practice.

If you’re willing to share — what’s a product (ASIN if you’re comfortable posting it, or just a description if not) that you were confident about going in, and what actually happened once you bought in? Slow sell-through, surprise competition, a fee you didn’t account for, demand that dried up, anything.

Mainly trying to learn from real outcomes rather than theory. Appreciate anyone willing to share a war story.