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  1. Blog
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One Product, Five Colors: The Duplicate-Competitor Trap

Launch Fast Insights Team
Launch Fast Insights Team
5 min read·Published:August 19, 2026
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Five colored versions of the same generic neck fan connect to one shared product card.

On this page

  • The short versionThe short version
  • Amazon can give one product several IDsAmazon can give one product several IDs
  • Two shared listings reduced the apparent competitor count by 10%Two shared listings reduced the apparent competitor count by 10%
  • Count the same listing differently for different questionsCount the same listing differently for different questions
  • Check repeated products before trusting the totalsCheck repeated products before trusting the totals
  • Clean up the competitive set before you sourceClean up the competitive set before you source

The short version

  • Several colors can look like several competitors. Amazon gives each option its own Amazon Standard Identification Number (ASIN), even when shoppers choose them from one product page.
  • That changed the count in a real neck-fan example. Two pairs of colors made the niche look more crowded than it was.
  • Count according to the decision. Treat the same product once when sizing up competitors or shared reviews. Keep prices separate, and do not add sales estimates until you know what they measure.

You are deciding whether a niche is crowded. Your research screen shows a full page of products, so treating every entry as a separate competitor feels natural.

But two colors of the same fan can appear on separate rows. Count both as rivals and the niche looks busier than it really is. If those colors share reviews, the barrier to entry can look bigger too.

The fix is simple: open repeated-looking products on Amazon, click their options, and count the same underlying product once.

Amazon can give one product several IDs

Amazon often gives every color, size, or pack count a different ASIN. Shoppers may still see all those choices on the same product page. Amazon calls this a variation family, but sellers can think of it more simply: one product with selectable options.

That distinction matters whenever a research table puts each ASIN on its own row.

JISULIFE, a portable-fan brand, offered one neck fan in five colors on a shared Amazon page. Gray and dark green appeared separately in our comparison. They looked like two competitors in the table, but a shopper would recognize them as two colors of the same fan.

SWEETFULL, another portable-fan brand, created the same problem. Two colors appeared separately even though Amazon grouped them on one four-color product page.

Matching names or review counts are only clues. Count two rows together only after the live Amazon page shows that shoppers can switch between them as options. Distinct models from the same brand should stay separate.

Two shared listings reduced the apparent competitor count by 10%

The comparison started with 20 unique ASINs. Counting the two JISULIFE colors as one product and the two SWEETFULL colors as one product brought the competitor count to 18. That is a 10% reduction from the original count of 20.

A before-and-after comparison: 20 apparent competitors become 18 products after two pairs of colors on shared Amazon listings are counted once.
Two shared listings turn 20 apparent competitors into 18 products

This does not mean every portable neck fan search is overstated by 10%. It is one worked example.

One item was also a handheld fan rather than a neck fan. A research screen is a starting point, not a perfect map of a category.

The useful lesson is smaller: an ASIN identifies an Amazon catalog item, not necessarily a separate competitor.

Count the same listing differently for different questions

There is no universal “remove duplicates” button. First decide what you are trying to learn.

How many competitors are there? Count colors or sizes on the same Amazon product page as one underlying product. Five colors do not create five separate product ideas.

How hard is the review barrier? If the options display the same review total, count that trust advantage once. In this example, the shortlist of products below the chosen review threshold stayed at four, but its share rose from 20% to about 22% after the competitor count changed.

What prices do shoppers see? Keep each visible offer. A larger size or bundle can have a legitimately different price.

How much does the product sell? Some estimates describe each option separately; others may repeat one total across several options.

Here, counting one sales estimate per shared listing produced a total roughly 19% to 23% below adding every row. That range shows how much an unclear definition can move the answer. It does not prove that either total is correct.

When the definition is unclear, leave the revenue question unresolved. An honest blank is more useful than a precise number built on a guess.

Check repeated products before trusting the totals

Use this quick check before deciding whether to source:

  1. Spot likely repeats. Look for the same brand and core product with only the color, size, or pack count changed.
  2. Open one Amazon page. Click each visible option and see whether Amazon keeps you on the same underlying product.
  3. Keep separate models separate. A shared brand is not enough. The options must actually belong together on Amazon.
  4. Count for the question. Use one product for competitor and shared-review comparisons. Keep distinct offers for price.
  5. Recalculate only what matters. Update the competitor count and any percentage that uses it. Leave sales totals alone unless their definition is clear.

In the JISULIFE example, gray and dark green became one competitor because shoppers selected both from the same product page. Their visible prices could still be compared separately. Their sales estimates could not safely be added without knowing whether each color had its own estimate.

That is the entire discipline: count the product the way a shopper experiences it, then match the number to the decision you are making.

Clean up the competitive set before you source

Better counting will not make the sourcing decision for you. It will stop duplicated options from quietly steering it.

Search the product in Launch Fast, open repeated-looking products on Amazon, and click their colors, sizes, or pack counts. Then count each underlying product once before judging crowding or the review barrier.

The goal is not to remove entries until a niche looks attractive. It is to understand how many products you would actually be competing against.

Check the real competitive set

Inspect the products behind your market grade

Search the product in Launch Fast, open repeated-looking products on Amazon, and count colors or sizes on the same listing once.

Check Products in Launch Fast

On this page

  • The short versionThe short version
  • Amazon can give one product several IDsAmazon can give one product several IDs
  • Two shared listings reduced the apparent competitor count by 10%Two shared listings reduced the apparent competitor count by 10%
  • Count the same listing differently for different questionsCount the same listing differently for different questions
  • Check repeated products before trusting the totalsCheck repeated products before trusting the totals
  • Clean up the competitive set before you sourceClean up the competitive set before you source
Launch Fast Insights Team

Launch Fast Insights Team

The Launch Fast Insights Team is committed to delivering comprehensive research and education for Amazon sellers. We provide data-driven strategies and insights to help entrepreneurs succeed in the competitive world of e-commerce.

Published in:Product Research & ValidationBlog
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