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Welcome to the Deep Dive. Today, we're really getting into the heart of making it on Amazon—smart product research.
Yeah, absolutely.

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Forget guessing. This is about finding that product—the right one—before you even think about sourcing.
So it's like laying the groundwork properly, building on solid data instead of hope.

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Exactly. It saves you time, definitely saves you money, and honestly, a lot of headaches down the line.
OK, so the big question for everyone listening is: How do you actually prove an idea is, well, potentially profitable?
And that people actually want it—yeah—before you commit your cash.

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We boil it down to five core things to look at.
First up—profitability, obviously.
That magic number—25% to 30% margin—after all the costs are out.

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OK, crucial. Then—making your product different, right?
Differentiation.
Yeah, how does it stand out? Is it better? Unique somehow?
And scalability—can it grow? Can you add variations later or upsells?
Good point.

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Plus, market trends.
You’ve got to know if the whole niche is growing or shrinking.
And finally, customer satisfaction—or dissatisfaction.
Finding those gaps in what's already out there.

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Right. What are people complaining about?
That's your opportunity.
So, where do we find these potential gems?
You mentioned the Amazon Bestseller list.
Yeah—but not just staring at number one.

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Look a bit deeper—in the subcategories.
Find things that are climbing.
True, but that list doesn't really tell you about profit, does it?
Or how tough the competition is?
No, it doesn't.

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So another place is social media trend-surfing.
Ah—TikTok, Instagram?
Exactly.
You see stuff blow up—driven by influencers—like those smart jump ropes that were everywhere for a bit.

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I remember those. But—and this is key—you have to validate that buzz on Amazon itself.
Social media buzz is just, well, a hint.

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OK, hint taken. What about digging directly into Amazon?
Oh yeah—the search bar autocomplete. That's gold.

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It shows you the exact words people are typing—those long-tail keywords, specific needs.
Not just “dog leash,” but maybe “dog leash for running hands-free.”
Gotcha. Niche angles.

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And then dive into the reviews of existing products. Seriously—look for the complaints.

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Yes—broken clips, bad stitching—whatever it is.
That's basically your blueprint for making something better.
Which brings us to using actual data tools—right? Like AMZScout.

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Tools like that let you sift through thousands of products using filters: price, reviews, revenue, sales volume—
Competition level too.
Yeah, and trend data.

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They often have a niche score that tries to balance demand and competition.
Plus things like reverse ASIN lookups.
What does that do?
Lets you see the keywords your potential competitors are ranking for.
And FBA calculators to figure out potential profit.

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OK—let's walk through a quick example. Say pet supplies using AMZScout.
Sure.

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You might set filters in their product database:
Price, maybe $25 to $50.
Under 100 reviews, perhaps.

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Over 300 sales a month.
Niche score seven or higher.
And what might pop up?
Things like—travel dog bowls, slow feeder mats, maybe those pet car seat covers.

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Then you narrow it down.
Yeah—pick maybe three to five promising ones.
Then use something like the AMZScout PRO Extension right on the Amazon page.

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Check their actual monthly revenue.
Look at the sales history, trends, average reviews.
So if you see a collapsible dog bowl doing, say, $20,000 a month pretty consistently—
And demand looks like it's rising—

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That's interesting, yeah. That's one to look closer at.
Next step—keywords.

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Right—do that reverse ASIN lookup on a top competitor for that bowl.
You might find keywords like:
dog water bowl for hiking or portable pet travel bowl.
Gold dust for your listing.

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Then the profit check with the FBA calculator.
Exactly.
Plug in your estimated costs: $4 product cost, $1.50 shipping from China.

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Maybe you plan to sell at $19.99.
Does that give you your target $5–$6 profit?
Is that your 25%–30% margin?
You’ve got all the numbers.
Finally—size up the competition.

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Yep, look at the top 10 listings.
How good are their photos?
Their descriptions? A+ content?
It tells you how hard you’ll have to work to compete.
Any quick tips for getting an edge?

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Bundles can be smart.
Add value—like a cleaning cloth with that bowl.
Makes it harder to compare directly.
Nice.

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AI can help write listings—like ChatGPT—but always review and tweak it.
Don’t just copy-paste.
Good call.

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And—start small. Always.
Small test orders first.

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Run some simple ads, see what happens.
Keep an eye on broader trends too—Google Trends is useful.

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Avoid just jumping on fads.
And what about common mistakes people make?

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Oh—focusing only on high margins but ignoring demand. That’s a big one.

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Or skipping quality control—huge mistake.
Skipping keyword research too.

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Ordering way too much stock upfront before testing.
And getting too attached to an idea—even when the data says no.
Yeah, happens all the time.

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Gotta follow the data.
We had a client pivot completely based on data.
Oh yeah—they were trying to sell eco-friendly beeswax wraps—super saturated market.

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AMZScout pointed them towards under-sink storage racks.
They found a gap for a better design—anti-rust, tool-free install.
And the results?

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Went from about $8,300 the first month to over $40,000 by month six.
Just by finding that unmet need—and using the data.
Wow, that really shows the power of it.

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OK—so wrapping up this deep dive:
Have that clear goal.
Use Amazon itself and social signals for initial ideas.
Then validate, validate, validate with tools like AMZScout—the Database, PRO Extension, Reverse ASIN, FBA Calculator.

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Launch smart. Test small. Stay agile.
And let the data lead you.
So, final thought for you listening:
Product research is a skill.
It gets better with practice.
And honestly, finding just one winning product can change everything.
So—which of these strategies are you gonna try first?