flower sweater
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Monthly Search Volume
6,600
Competition
57,623
Cost Per Click
$0.73
Keyword Difficulty
47/100
Moderate
'flower sweater' Search Trend
| Month | Searches |
|---|---|
| August 2025 | 5,400 |
| September 2025 | 6,600 |
| October 2025 | 9,900 |
| November 2025 | 12,100 |
| December 2025 | 12,100 |
| January 2026 | 9,900 |
| February 2026 | 6,600 |
| March 2026 | 5,400 |
| April 2026 | 4,400 |
| May 2026 | 4,400 |
| June 2026 | 2,900 |
| July 2026 | 2,900 |
Search Volume by Country
6,600Competition by Country
57,623How to Rank for 'flower sweater' on Etsy
Target the Right Market
The market for 'flower sweater' is heavily concentrated in United States, which accounts for 67% of searches and 74% of competition. Sellers targeting this keyword should prioritize United States shoppers — think about shipping speed, regional holidays, and currency expectations in your pricing.
Ranking Difficulty
With a difficulty score of 47/100, 'flower sweater' is rated moderate to rank for on Etsy. This is a competitive-but-winnable space. Strong listing quality — clear photos, complete descriptions, and all tags filled — can push you onto the first page.
Optimization Tips
'flower sweater' is short and broad, which means Etsy will match it against a wide range of listings. Lead your title with this keyword followed by specific modifiers that describe your product — like materials, style, or use case — so Etsy can match you with buyers who have clearer intent. In a competitive space like this, your remaining tags should cover synonyms, related materials, and use cases. Complete every listing section (description, materials, tags) and add many high quality images and a video, as Etsy's algorithm factors listing quality into search rankings.
Optimize Your Etsy Listings for 'flower sweater'
Generate Tags
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Generate Titles
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Listing Studio
Create a complete, optimized Etsy listing around 'flower sweater' from scratch
Video Generator
Turn your 'flower sweater' product photos into a listing video
Frequently Asked Questions About 'flower sweater'
'flower sweater' receives 6,600 monthly searches globally. That's substantial demand, but with 57,623 competing listings, you're entering an active market. The volume validates that buyers are searching — the challenge is visibility. Most of this demand (67%) comes from United States.
There are 57,623 Etsy listings competing for 'flower sweater'. Competition is high, but the difficulty score suggests the market isn't as locked down as it might seem. A well-optimized listing with strong photos and competitive pricing can still break through.
'flower sweater' has a keyword difficulty of 47/100 (moderate). Moderate difficulty means this keyword is accessible but not easy. Sellers with complete, well-photographed listings and consistent sales activity will have the best shot at ranking on the first page.
United States generates 67% of searches for 'flower sweater'. Since United States dominates demand, optimizing for that market — with appropriate shipping options, sizing, and regional keywords — gives you the largest addressable audience.
Since 'flower sweater' is a broad, short keyword, Etsy will match it against thousands of listings. Your title needs to lead with this keyword followed by descriptive modifiers that signal exactly what you sell. With high competition, listing quality is the differentiator. Listings with more photos, a video, complete attributes, and active sales history rank higher. Your first photo is especially critical — it determines click-through rate, which Etsy uses as a ranking signal.
The cost per click for 'flower sweater' is $0.73. Advertisers are bidding aggressively on this term, which means the shoppers it attracts tend to be ready to purchase. For organic sellers, this is a signal that ranking well will drive actual sales, not just window shopping.
Search volume dropped 46% between August 2025 and July 2026. Demand peaked around November 2025, which may indicate seasonal patterns. Check whether this dip repeats annually — if so, plan your inventory and listing renewals to go live before the next peak.
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