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Guess Bags for Women

Fail

Shoppers spend an estimated $0 a year here, so Guess Bags for Women is a Fail.

Flapen Score
32
32 / 100
Ranks 62 of 106 Fashion niches · −4 vs the category median of 36
Market size
$0/yr22K searches / yr
90-day growth
+25.3%search demand this quarter
Competition
92%top-5 click share · 1 brands · 4 sellers

Flapen Score

Guess Bags for Women against its category

The dotted line is the Fashion average. Past it, Guess Bags for Women is stronger. Inside it, weaker.

32Fail
Big MarketTrendingHigh ConversionOpen MarketLow ReturnsPrice rangeAvg priceNo Dominant BrandLow Review BarrierQuality Gap
This niche Category average

Market

The Guess Bags for Women market on Amazon at a glance

Shoppers on Amazon Singapore searched for Guess Bags for Women 22K times last year and spent an estimated $0. One brand takes every click. Flapen scores it 32 out of 100, a Fail.

01 · Demand

An estimated 0.0% of those searches ended in a purchase.

Shoppers searched for this 22K times in the last 12 months. That counts every search on Amazon Singapore for this niche's terms. An estimated 0.0% of those searches ended in a purchase. Searches in the last 90 days moved +25.3% against the 90 days before. Searches, conversion and average price together put the market at an estimated $0 a year.

Searches, last 12 months
22K
Growth, 90 days vs prior 90
+25.3%
Conversion, latest week
0.0%
Market size, estimated
$0a year
Top search term
guess bags for women12K searches a year

02 · Price

A sale here is worth $62.95.

Listings sell for $62.95 on average, from $24.23 to $141.59. Amazon reports units sold in ranges. This niche sold 0 to 100 a year. The average listing sells 0 to 100 of them. At $62.95 that is $0 to $6K a year per listing.

Average price
$62.95inside the $15 to $100 sweet spot
Price range
$24.23–$141.59
Amazon Singapore median price
$30.00across 1,590 niches
Units sold a year
0–100
Units per listing a year
0–100
Revenue per listing a year
$0–$6K
Returns
0.0%of orders · Amazon Singapore median 0.0%

03 · Entry bar

The bar here is low.

0% of listings pay for placement with sponsored ads. 100% ship with Prime. On an average day, 28.5% of listings are out of stock. The average listing ranks #621 within Fashion. It carries 1,112 reviews at 4.60 stars, so a new listing needs social proof before a better product.

Sponsored listings
0%
Prime listings
100%
Out of stock, average day
28.5%
Average rank
#621in Fashion
Average rating
4.60 starsAmazon Singapore average 4.47 stars
Average reviews
1,112per listing
Listings tracked
7

04 · Newcomers

Brands here are settling in.

The brands on the shelf have sold for 42 months on average, so the names here are settling in.

Launched, last 12 months
0
Successful launches
0Amazon's first-year sales bar
Average brand age
42 months

Products

Top Guess Bags for Women products & what they sell for

The products selling here, as shoppers see them on Amazon. Shelf share and sales are our estimates.

Prices and ratings read from Amazon on Jul 24, 2026. The live listing can differ.

Competition

Competition: brands, sellers & click share

The top 5 products take an estimated 92% of clicks. A locked shelf that new listings rarely crack.

$0$0$0$0$0101001K10K Review Count Sales
Beatable (≤4.3★) Contested Strong incumbent (>4.7★)

Brands

1 falling

Sellers

4

Est. top-5 brand share

100%

Top 20: 100%

Est. top-5 click share

92%

Top 20: 100%

Open market

0%

  • GUESS100%
  • Open — no brand owns it (0%)

Demand

Guess Bags for Women search demand

Weekly searches over the year, seasonality beneath. Pick a range.

700500Spike '26Prime Day '26DecJanFebMarAprMayJunJul

Peak months: Jun, Dec · busiest ÷ quietest = 2.2× · 8 of 12 months tracked

Keep looking

Related niches

Niches in the same category that score near this one. Research these next.

FAQ

Common Guess Bags for Women questions

Answered from the same tracked data.

Figures on this page are estimates modeled from public Amazon pages and third-party keyword data. Amazon does not supply them, and no connected seller's data is used. How we handle Amazon data