Guest post7 min read27 Aug 2026

How to Research a Niche Before You Build Your Store

Research a Niche Before You Build Your Store

There's a moment every new store owner knows well. You find a product that looks perfect, the TikTok videos have millions of views, and you can already picture the store. So you buy a theme, write the product pages, set up your ads, and launch.

Then nothing happens. Or worse, something happens, but every sale costs more in ads than it brings in.

Most of the time, the problem wasn't the store. It was the niche. It was too crowded, too price-sensitive, or too small to support a new brand, and a bit of research beforehand would have made that obvious. The good news is that this research doesn't require expensive software or a data science degree. It just takes a clear set of questions and a way to gather the answers without spending a week copying numbers by hand.

Start with the right questions

Niche research can easily turn into endless scrolling. To keep it focused, it helps to decide upfront what you're trying to find out. For most stores, it comes down to four things.

How many sellers are already here? A niche with a handful of sellers is very different from one with hundreds of nearly identical listings. Competition isn't automatically bad, since it proves there's demand, but you need to know what you're walking into.

What are people paying? Look at the full price range, not just the top result. A wide spread of prices usually means there's room for different positions, like budget, mid-range, and premium. A tight cluster usually means buyers see the product as a commodity and will shop on price.

How much demand is there, really? Review counts are one of the best free proxies for sales volume. A product with 8,000 reviews has sold a lot of units. A category where the top listings have 40 reviews each might be quieter than the social media buzz suggests.

How fast is it moving? Are new products showing up every week? Are prices trending down? Fast movement can mean opportunity, but it can also mean a trend that's about to burn out.

Write these down before you start. It'll stop you from getting lost in details that don't affect the decision.

Look past the first page

Here's where most people go wrong. They search for the product on Amazon, AliExpress, or Etsy, glance at the first page of results, and draw conclusions from that.

The first page shows you what's winning. It doesn't show you the market. The top listings are usually the established players with thousands of reviews and big ad budgets, and they'll make any niche look either extremely competitive or extremely profitable depending on your mood that day.

The real picture is further down. Pages two through ten show you how many mid-sized sellers are making it work, how many listings have been abandoned with a handful of reviews, and where the prices actually settle once you get past the big names. That's the part of the market you'll be competing in when you start, so that's the part you need to understand.

Collect the data without losing a week

Of course, going through ten pages of results across two or three marketplaces means looking at several hundred listings. Doing that by hand, copying titles, prices, ratings, and review counts into a spreadsheet one at a time, would take days. Most people give up halfway through and end up deciding based on gut feeling anyway.

This is where data scraping tools earn their place. Instead of copying information by hand, you point the tool at a search results page and it pulls the details you need from every listing into a spreadsheet automatically. Octoparse is a good example for non-technical sellers: it works with a point-and-click interface rather than code, and it has ready-made templates for popular sites like Amazon, so you can have a few hundred listings in an Excel file in the time it would take you to copy twenty by hand.

For niche research, you usually only need a few fields from each listing: the product title, price, star rating, number of reviews, and the seller or brand name. If the marketplace shows "bought in the past month" figures or shipping times, grab those too.

Once it's all in one sheet, the questions from earlier start answering themselves.

Reading the numbers

With a few hundred rows of data in front of you, sort and filter your way through the four questions.

Count the sellers. Use the brand or seller column to see how many different sellers show up and how much of the listings the top few control. If three brands own most of the results, breaking in will be expensive. If the listings are spread across dozens of small sellers, the niche is more open.

Map the price range. Sort by price and look at where most listings cluster. Then look at the gaps. If almost everything sits between $20 and $30, and there's very little at $45 to $60, that empty space could be a premium opportunity, or it could mean buyers won't go that high. Check whether the few higher-priced listings have decent review counts. If they do, the demand is there.

Check the review distribution. Don't just look at the top-reviewed product. Look at how many listings have more than, say, 100 reviews. If only the top five have meaningful reviews and everyone else has fewer than ten, the market is winner-take-all. If lots of listings have a few hundred reviews each, there's room for many sellers to make steady sales.

Look at ratings for weak spots. A niche where the popular products average 3.8 stars is a niche where customers aren't fully happy. That's an opening. Read the low-rated listings and you'll often find the same complaints again and again: flimsy materials, confusing instructions, sizes that run small. If you can solve one of those, you have a real reason for shoppers to pick you.

Run it again in a few weeks. One snapshot tells you where the market is. Two snapshots a month apart tell you where it's heading. If prices have dropped and a flood of new listings has appeared, the trend may be peaking. If things look stable, that's usually a healthier sign than a sudden spike.

A quick example

Say you're considering portable blenders. On the first page, it looks great: the top products have tens of thousands of reviews, and prices sit around $30 to $40.

Pull the first ten pages into a spreadsheet, though, and a different picture could emerge. You might find a few hundred listings, most of them nearly identical, with prices sliding toward $20 and a long tail of sellers stuck at a handful of reviews. That's a crowded, price-driven market, and a new store would struggle to compete on anything but price.

Now compare that with something like ergonomic kneeling chairs. Fewer listings, a wider price spread, solid review counts spread across a dozen or so brands, and a lot of three-star reviews complaining about comfort after an hour of use. That's a niche with demand, room for new sellers, and a clear problem you could solve in your product selection and your product page.

The numbers here are illustrative, but the pattern is real, and you'd only see it by looking beyond the first page.

Turning research into a decision

By the end of this process, you should be able to answer a simple question: is there a version of this product, at a price that leaves you a profit, that shoppers have a reason to buy from you instead of the established sellers?

If the answer is yes, you already know a lot about how to build the store. You know your price point, your competitors, and the complaints your product page needs to address. That makes every later step, from writing product descriptions to choosing which features to highlight, much easier.

If the answer is no, you've just saved yourself weeks of work and a chunk of ad budget. That's a win too.

The stores that last aren't usually the ones that found the hottest product first. They're the ones that picked a market they understood and built something that fit it. A few hours of research at the start is the easiest way to become one of them.

Muhammad Zubair

Author

Muhammad Zubair

Zubair is a digital marketing specialist with expertise in SEO and link-building strategies. He helps brands improve their online visibility and achieve sustainable growth through strategic content placements.

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