---
title: "Search terms — kitana mortal kombat costume"
canonical_url: "https://flapen.com/research/us/clothing-shoes-jewelry/kitana-mortal-kombat-costume/search-terms"
last_updated: "2026-08-12T21:08:57.291Z"
locale: en
meta:
  description: "Amazon product research for kitana mortal kombat costume: demand, competition, pricing, reviews & the verdict. Know if it's worth selling — Flapen."
  "og:description": "Amazon product research for kitana mortal kombat costume: demand, competition, pricing, reviews & the verdict. Know if it's worth selling — Flapen."
  "og:title": "Search terms — kitana mortal kombat costume"
---

# **Kitana Mortal Kombat Costume**

**Worth a look**

Shows demand growing +195.9% this quarter, but high returns (17.4%) keeps it on the watch list.

Market size 10Growth 97Conversion 2Competition 81Returns 0Price range 62Avg price 92Brand share 56Review moat 88Quality gap 76

**Growth**

**Incredible****+195.9%**

90-day search growth — must beat 0% to launch

**Avg price**

**Great****$53.96**

avg listing price — sweet spot $15–$100

**Review moat**

**Great****230.3**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Great****34%**

top-5 click share — an open shelf

**Quality gap**

**Great****4.3★**

avg incumbent rating — lower means beatable quality

**Price range**

**Good****$18.66–$149.22**

cheapest to priciest tracked listing — scored on the share inside $15–$100

**Brand share**

**Good****71%**

top-5 brand share — brands hold most of the demand

**Market size**

**Bad****$38K**

$38K/yr · 396K searches

**Conversion**

**Bad****0.2%**

search→purchase rate — share of searches ending in a sale

**Returns**

**Bad****17.4%**

return rate — above 5% kills the launch gate

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** High Returns**](https://flapen.com/research/niches?market=us&signal=high_returns "Return rate > 5%") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Search terms