Live site data
M&S | Marks & Spencer | Fashion, Home, Beauty, Food & Gifts
Shop on-trend womenswear, quality menswear, home and beauty essentials and mouth-watering food and drink. Order online with free delivery or collection at M&S
Last refresh
Updated 17d ago
Analyst read
Professional
67/100 trustShoppingStale snapshot
Detected stack
Unknown
Quick read
How to read marksandspencer.com quickly
marksandspencer.com looks like shopping. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 67/100.
What to do next
- The stack appears to include Unknown.
- 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
33/62 fields populated (53%)
1 health alerts11 providers
Providers with missing fields
ads: 0/5publisher: 2/5files: 2/3traffic: 0/16radar: 0/4
Provider health alerts
traffic: TRAFFIC_NO_DATA
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
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
Marks & Spencer (M&S) is a major British multinational retailer specializing in clothing, home products, beauty items, and food. Founded in 1884, it operates as a department store chain with both physical locations and a robust online presence, known for quality and value across multiple product categories.
Business ModelE-commerce / Omnichannel Retail
Target AudienceMiddle-class consumers seeking quality, affordable fashion and lifestyle products; families; UK-based shoppers with international expansion; age range 25-65; value-conscious buyers interested in sustainable and classic styling
Classification
CategoryShopping
Sub-CategoryApparel
fashionretaildepartment storeclothinghome goodsbeautyfoode-commerceuk retaildenim
Trust & Risk
Trust Assessment
Trust Score67/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
AI Visual Analysis
Design StyleClean, Editorial, Minimalist
VibeTrustworthy, Sophisticated, Accessible
UI Score8/100
Detected Logo TextM&S
IAB Taxonomy
IAB CategoryShopping
IAB Sub-CategoryApparel
Confidence98%
fashionretaildepartment storeclothinghome goodsbeautyfoode-commerceuk retaildenim
Business Insights
Business Model
E-commerce / Omnichannel Retail model detected
Trust Level
Medium trust with 67/100 score
Audience
Middle-class consumers seeking quality, affordable fashion and lifestyle products; families; UK-based shoppers with international expansion; age range 25-65; value-conscious buyers interested in sustainable and classic styling
Keep exploring
Keep exploring from this report
Browse the related category, topic, or technology path, open alternatives, or move into comparison when you have a second domain.
Related category
Browse Shopping sites
Move from this site data report into the broader market cluster.
Use category pages when market context matters more than one domain.
Related topic
Browse Apparel sites
Use the topic route when audience and editorial intent matter more than category.
Topic pages help you compare audience intent around the same domain.
Related technology
Browse Unknown websites
Pivot from one domain into a stack-based discovery path.
Technology pages help you compare implementation patterns across similar sites.
Alternatives
Open marksandspencer.com alternatives
Review similar domains ranked by category, audience, technology overlap, and match reasons.