B
Evidence Grade B
Graded
under review
Safe to Cite
Recent
65%
65% -- returns influenced by sizing fit share for Fashion e-commerce (2025)
Attribution:
View source
Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
65%
Unit
Percentage
Data Vintage
2025
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
50
Source Trust
60
Citation Chain
60
Independence
30
Methodology
45
Freshness
95
Source
Wanna
Primary
Tier C
https://wanna.fashion/ ↗
Source Article
Google Shopping & AI Agents: Impact on Fashion Stores | Measmerize
Will Google Shopping Kill Your Fashion Website? The Truth About AI Agents
Image Source: AI
Google Shopping has quietly built a massive database of over 50 billion product listings, updated hourly with more than 2 billion changes. Fashion retailers are right to question what this means for their digi…
Original Research
Wanna
· Original study ↗
Methodology
Range 65-80%, midpoint used; cited from wanna.fashion
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Fashion e-commerce: 65% returns influenced by sizing fit share. Source: Wanna (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/fashion-returns-sizing-fit-share
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<blockquote cite="https://lighthousedata.io/data/fashion-returns-sizing-fit-share" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>65%</strong> -- returns influenced by sizing fit share for Fashion e-commerce<br><small>Source: Wanna (2025) · <a href="https://lighthousedata.io/data/fashion-returns-sizing-fit-share" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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