---
title: "Products — graduation stickers - Flapen"
canonical_url: "https://flapen.com/research/us/toys-games/graduation-stickers/products"
last_updated: "2026-08-08T18:25:20.437Z"
locale: en
meta:
  description: "Niche score 64/100 · $142K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 64/100 · $142K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Products — graduation stickers - Flapen"
---

# **graduation stickers**

**Worth a look**

Shows low returns (0.4%), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 31Growth 95Conversion 58Competition 84Returns 98Price range 0Avg price 18Brand share 92Review moat 93Quality gap 19

**Returns**

**Incredible****0.4%**

return rate — above 5% kills the launch gate

**Growth**

**Incredible****+117.7%**

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

**Review moat**

**Great****135.41**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Great****43%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****31%**

top-5 click share — an open shelf

**Conversion**

**Good****4.9%**

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

**Market size**

**Okay****$142K**

$142K/yr · 450K searches

**Quality gap**

**Bad****4.7★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Bad****$6.41**

avg listing price — sweet spot $15–$100

**Price range**

**Bad****$3.67–$10.80**

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

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** No Dominant Brand**](https://flapen.com/research/niches?market=us&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500")

## Products