Live website intelligence
Your World of Fashion | Lyst
Shop and discover the world’s most stylish brands, curated for you. With more than 27,000 brands and stores in one place, Lyst is the definitive fashion destination.
Last refresh
Updated 59d ago
Analyst read
Professional
Detected stack
Quick read
How to read lyst.com quickly
lyst.com looks like shopping. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
- The stack appears to include React.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
34/56 fields populated (61%)
Providers with missing fields
View field-level status
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 6/6
All expected fields present
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Why this module matters
Business signals help answer “is this a real opportunity?”
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
- Trust score and sentiment are your first risk screen.
- Business summary and audience notes speed up qualification.
- Ads and monetization patterns reveal how the site captures value.
Business Intelligence
Business Profile
Lyst is a global fashion shopping platform and aggregator that curates products from over 27,000 brands and stores, allowing users to discover and shop clothing, shoes, accessories, and jewelry from multiple retailers in one place.
Classification
Trust & Risk
Trust Assessment
Publisher Monetization
Ad Systems
Monetization Signals
AI Visual Analysis
IAB Taxonomy
Business Insights
Business Model
E-commerce (Fashion Aggregator/Marketplace) model detected
Trust Level
Low trust with 5/100 score
Audience
Fashion-conscious consumers, primarily women and men aged 25-45, interested in designer and contemporary brands, trend discovery, and personalized shopping experiences
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