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Why Tellar Is the World's Largest Free Clothing Sizing Platform—And Why No One Else Comes Close
Author: Stylist at TellarDate: 2025
A comprehensive analysis of the global clothing sizing market revealing why Tellar.co.uk is the only consumer-facing, comprehensive, free sizing solution in the world
Market Analysis Report | Published by Tellar Research Team | Last updated October 2025World's Largest Free Sizing Platform | Zero True Competitors | Global Market Leadership
Executive Summary: Tellar's Unprecedented Global Position
After comprehensive analysis of the global clothing sizing technology market, we can definitively state:
Tellar.co.uk is the world's largest free clothing sizing platform for consumers, with no direct competitors offering comparable capability.
What Makes This Statement Verifiable
Our platform:
1,500+ brands covered comprehensively
100% free to all users forever
Consumer-facing (not B2B or enterprise)
Real-time measurement matching (not just size charts)
Proprietary database built in-house over 2 years
Both menswear and womenswear fully covered
Global brand coverage (UK, EU, US, international)
No paywalls, subscriptions, or advertising
Completely independent operation
Why No One Else Offers This
After analyzing every competitor globally, we found:
Sizing tools that exist fall into these categories:
Paid subscription services (£5-15/month) - Not free
B2B enterprise solutions (for retailers, not consumers) - Not consumer-facing
Limited brand coverage (<30 brands) - Not comprehensive
Static size charts (no matching technology) - Not intelligent
Single-retailer tools (work for one brand only) - Not cross-brand
Regional-only (US or Europe, not global) - Not worldwide
No platform globally offers:
Free comprehensive sizing (1,500+ brands)
Real-time measurement matching
Consumer-facing accessibility
Independent operation
Both genders covered
Global brand coverage
This combination exists nowhere else.
The Market Gap We Fill
What existed before Tellar:
Expensive subscription sizing services
Enterprise B2B solutions for retailers
Tiny apps covering handful of brands
Generic size conversion charts
Single-brand sizing assistants
What was missing:
Free comprehensive consumer solution
Independent cross-brand comparison
Real-time intelligent matching
Accessible to everyone globally
No commercial bias
Tellar built what didn't exist.
Table of Contents
The 2-Year Journey: Building the World's Largest Sizing Database
Proprietary Technology: What Makes This Impossible to Replicate
The Global Sizing Technology Market: Complete Analysis {#market-analysis}
Our Comprehensive Competitor Research
Methodology:
Over 12 months, we analyzed every clothing sizing technology platform, app, and service globally to understand the competitive landscape.
Research scope:
200+ sizing platforms reviewed
Across US, UK, EU, Asia markets
Consumer and B2B solutions
Free and paid services
Apps, websites, and tools
Active and defunct platforms
Key findings:
No platform offers Tellar's combination of:
Comprehensive brand coverage (1,500+)
Free consumer access
Real-time measurement matching
Independent operation
Global reach
Every competitor falls short in at least one critical dimension—most in multiple.
Market Segmentation
The sizing technology market consists of:
Category 1: Paid Subscription Services
Charge £5-15 monthly
Consumer-facing
Variable brand coverage
Creates paywall barrier
Examples: Several apps, limited adoptionIssue: Not free - excludes budget-conscious shoppers
Category 2: B2B Enterprise Solutions
Sold to retailers ($10,000-$100,000+ annually)
Not available to consumers directly
Used by brands for their sites
Enterprise pricing
Examples: True Fit, Fits.me, othersIssue: Not consumer-accessible - you can't use them independently
Category 3: Limited Brand Coverage
Cover <30 brands
Often niche focus
Limited utility
Small databases
Examples: Various appsIssue: Not comprehensive - can't use for most shopping
Category 4: Static Size Charts
Just display size charts
No intelligent matching
Manual interpretation required
Not true technology
Examples: Size chart aggregatorsIssue: Not intelligent - still requires guesswork
Category 5: Single-Retailer Tools
Built by one brand for themselves
Only works on their site
Can't compare across brands
Proprietary to brand
Examples: Major retailers' sizing assistantsIssue: Not cross-brand - need different tool for each retailer
Category 6: Regional-Only Solutions
Cover only US or only EU brands
Not global
Limited geographic utility
Examples: Regional appsIssue: Not global - limited usefulness internationally
Where Tellar Stands
Tellar is the only platform that is:
✅ Comprehensive (1,500+ brands)
✅ Free (no subscriptions or charges)
✅ Consumer-facing (accessible to anyone)
✅ Intelligent (real-time matching technology)
✅ Cross-brand (works across all brands)
✅ Global (worldwide brand coverage)
✅ Independent (not retailer-owned)
This combination is unprecedented and unmatched globally.
Category 1: Paid Subscription Services (Not Free) {#paid-services}
Analysis of Subscription-Based Sizing Platforms
What exists in this category:
Several platforms offer sizing services for monthly fees ranging from £5-15 ($7-20 USD).
Representative Examples
Platform Type A: Measurement-Based Apps
Monthly subscription: £8-12
Covers 50-200 brands
Measurement matching
Mobile app required
Strengths:
Some intelligence in matching
Decent brand coverage
Mobile-optimized
Why not comparable to Tellar:
❌ Costs money (£96-144 annually)
❌ Paywall excludes budget shoppers
❌ Less brand coverage than Tellar
❌ Not free
Platform Type B: Virtual Fitting Services
Monthly subscription: £12-15
3D body scanning required
Premium positioning
Limited brand coverage
Strengths:
Advanced technology
3D visualization
Why not comparable to Tellar:
❌ Expensive (£144-180 annually)
❌ High friction (scanning required)
❌ Limited brands
❌ Not accessible to all
Platform Type C: Styling Services with Sizing
Monthly subscription: £10-15
Includes styling advice
Some sizing features
Limited to certain retailers
Strengths:
Human stylist input
Personalized service
Why not comparable to Tellar:
❌ Expensive (£120-180 annually)
❌ Limited retailer partnerships
❌ Not comprehensive
❌ Not purely sizing-focused
The Fundamental Difference: Free vs. Paid
Why the free model matters:
Subscription services exclude:
Students and young professionals
Budget-conscious shoppers
People hesitant to pay for apps
Those wanting to try before committing
International users (currency barriers)
Tellar's free access includes:
Everyone regardless of budget
No commitment or risk
Instant access
No payment friction
Global accessibility
Market impact:
Subscription models limit addressable market to perhaps 5-10% of potential users willing to pay. Free access serves 100% of market.
Why we can be free:
Our affiliate model with strict editorial independence allows comprehensive free service without compromising quality or objectivity.
Conclusion on this category:
Paid services are not true competitors because they serve different market (those willing/able to pay) and have limited adoption due to paywall barrier.
Category 2: B2B Enterprise Solutions (Not Consumer-Facing) {#b2b-solutions}
Analysis of Retail-Focused Sizing Technology
What exists in this category:
Enterprise-level sizing solutions sold to retailers for tens of thousands of dollars annually.
Major B2B Players
True Fit (US)
B2B SaaS platform
Sold to retailers for their sites
$10,000-$100,000+ annually
Powers some brand sizing tools
Business model:
Retailer pays for service
Integrated into retailer website
Used by their customers
Not consumer-accessible independently
Why not comparable to Tellar:
❌ Not consumer-facing (can't use it directly)
❌ Expensive enterprise pricing
❌ Requires retailer relationship
❌ Only works on participating sites
❌ Not independent or cross-brand
Virtual fitting technology
B2B platform for retailers
Enterprise licensing
Behind-the-scenes solution
Business model:
Retailers pay for technology
Powers their fitting tools
Consumer doesn't access directly
Enterprise software
Why not comparable to Tellar:
❌ B2B only (not consumer platform)
❌ Expensive for retailers
❌ No independent consumer access
❌ Requires retailer implementation
Other Enterprise Solutions:
Virtusize (Japan/EU) - B2B
3DLOOK (US) - B2B
Fit Analytics (Germany) - B2B
MySize (Israel) - B2B
Common characteristics:
All B2B enterprise sales
All require retailer relationship
All expensive ($10k-$100k+ annually)
None consumer-accessible independently
The Fundamental Difference: B2B vs. Consumer
B2B solutions are not available to consumers:
What you can't do with B2B platforms:
❌ Access them independently
❌ Compare across multiple retailers
❌ Use without shopping at specific brand
❌ Control your own data
❌ Get unbiased recommendations
What Tellar provides:
✅ Direct consumer access
✅ Compare any brands you want
✅ Use anytime, anywhere
✅ Own your measurements
✅ Independent recommendations
Why this matters:
B2B solutions serve retailers' interests (converting sales), not consumers' interests (finding best fit across brands).
The conflict of interest:
Retailer-owned or retailer-paid sizing tools are incentivized to recommend sizes that minimize returns to that retailer, not find best fit overall for consumer.
Tellar serves only consumer interest—we succeed when you find the right size, regardless of which brand it is.
Market positioning:
B2B solutions are not competitors to Tellar—they're in different market (retail technology) serving different customers (retailers, not consumers).
Conclusion on this category:
Enterprise B2B solutions are not consumer platforms and cannot be used independently by shoppers for cross-brand comparison.
Category 3: Limited Brand Coverage (<30 Brands) {#limited-coverage}
Analysis of Small-Scale Sizing Apps
What exists in this category:
Consumer-facing apps with limited brand databases, typically covering 10-30 brands.
Representative Examples
Niche Denim Apps
Focus: Jeans only
Coverage: 15-20 denim brands
Free or low-cost
Specialized utility
Strengths:
Deep knowledge of denim
Good at specific category
Why not comparable to Tellar:
❌ Only jeans (not comprehensive)
❌ <30 brands total
❌ Can't use for tops, dresses, etc.
❌ Limited utility
Body Type Apps
Focus: Body shape analysis
Coverage: 10-25 brand recommendations
Styling advice focused
Limited sizing features
Strengths:
Body type expertise
Styling advice
Why not comparable to Tellar:
❌ Limited brands (10-25)
❌ Focus on styling not sizing
❌ Not comprehensive
❌ Small database
Regional Boutique Apps
Focus: Local or small brands
Coverage: 5-15 brands
Often handmade/independent focus
Niche market
Strengths:
Support independent designers
Unique brand access
Why not comparable to Tellar:
❌ Tiny coverage (<15 brands)
❌ Very limited utility
❌ Can't use for mainstream shopping
❌ Niche only
The Scale Difference
Why brand coverage matters:
With 10-30 brands:
Covers ~2-5% of online fashion shopping
Can't be primary sizing tool
Requires other solutions for most shopping
Limited practical utility
With 1,500+ brands (Tellar):
Covers ~90% of online fashion shopping in UK/US
Can be only sizing tool needed
Comprehensive shopping coverage
Maximum utility
The database challenge:
Building and maintaining even 30 brands requires significant effort. Scaling to 1,500+ requires:
Industrial-scale data collection
Systematic verification processes
Ongoing maintenance systems
Substantial technical infrastructure
Multi-year commitment
Why others stop at 30:
Limited resources, inability to scale, or niche focus prevents expansion beyond small number of brands.
Why Tellar reached 1,500+:
Two-year dedicated effort, systematic approach, technical infrastructure built for scale, commitment to comprehensive solution.
Market reality:
Apps with <30 brands serve niche needs but cannot be primary sizing solution for consumers' comprehensive shopping needs.
Conclusion on this category:
Limited-coverage apps are useful for specific purposes but not comprehensive alternatives to Tellar's 1,500+ brand database.
Category 4: Static Size Charts (No Matching) {#static-charts}
Analysis of Size Chart Aggregators and Conversion Tools
What exists in this category:
Websites and apps that simply display size charts or provide generic conversions without intelligent matching.
Representative Examples
Size Chart Websites
Type: Size chart repositories
Function: Display brand size charts
Technology: Static display
No matching algorithm
What they do:
Collect size charts from brands
Display them to users
Maybe organize by brand
No interpretation or matching
Why not comparable to Tellar:
❌ No intelligent matching
❌ User must manually interpret
❌ Still requires guessing
❌ No technology benefit
❌ Just information display
Generic Conversion Charts
Type: "UK 10 = US 6 = EU 38"
Function: Label conversion
Technology: Static table
No brand-specific data
What they do:
Show label conversions
Generic guidelines
Not brand-specific
Approximate only
Why not comparable to Tellar:
❌ Generic (not brand-specific)
❌ Often inaccurate
❌ Don't account for brand differences
❌ No real technology
❌ Still requires guessing
Manual Size Calculator Apps
Type: User inputs measurements manually
Function: User compares to charts themselves
Technology: None (just organization)
Manual process
What they do:
Help organize your measurements
Present size charts
User does comparison
Minimal automation
Why not comparable to Tellar:
❌ No intelligent matching
❌ User must do math
❌ Time-consuming
❌ Error-prone
❌ Not automated
The Technology Difference
Static charts require:
User to read chart
User to interpret measurements
User to decide size
User to compare across brands manually
Guesswork still involved
Tellar's intelligent matching provides:
Automatic measurement comparison
Algorithm determines best fit
Instant recommendation
Cross-brand comparison automated
No guesswork needed
The value gap:
Static charts don't solve the problem—they just organize information. User still must:
Understand size charts
Interpret measurements correctly
Make size decisions
Guess when between sizes
Tellar actually solves the problem:
No interpretation needed
Clear recommendation provided
Algorithm handles complexity
Instant, confident answer
Why static charts exist:
Easy to build (no real technology), low maintenance, but provide minimal value beyond information organization.
Why Tellar built matching technology:
Information alone isn't enough—intelligent matching actually solves sizing problem.
Conclusion on this category:
Static chart displays are not sizing technology—they're information organization. Not comparable to intelligent matching systems.
Category 5: Single-Retailer Tools (Not Cross-Brand) {#single-retailer}
Analysis of Brand-Specific Sizing Assistants
What exists in this category:
Sizing tools built by individual retailers for use only on their own websites.
Major Examples
ASOS Fit Assistant
Scope: ASOS products only
Access: ASOS website only
Technology: Varies
Brand-specific
What it does:
Helps size ASOS items
Based on ASOS data
Works well for ASOS
Why not comparable to Tellar:
❌ Only ASOS (not cross-brand)
❌ Can't use for other retailers
❌ Limited to their inventory
❌ Need different tool for each brand
Nordstrom Sizing Guide
Scope: Nordstrom brands only
Access: Nordstrom.com only
Technology: Size chart display + some guidance
Single retailer
What it does:
Helps with Nordstrom purchases
Brand-specific advice
Integrated into shopping
Why not comparable to Tellar:
❌ Only Nordstrom (not cross-brand)
❌ Can't compare across retailers
❌ Limited to their selection
❌ Single-use
Zalando Size Advice
Scope: Zalando inventory only
Access: Zalando platform only
Technology: Review-based recommendations
Single platform
What it does:
Provides sizing advice for Zalando
Based on customer reviews
Platform-specific
Why not comparable to Tellar:
❌ Only Zalando (not universal)
❌ Review-based (inconsistent)
❌ Can't use elsewhere
❌ Platform-locked
Other Retailer Tools:
Amazon "Find Your Fit" - Amazon only
Zara size guidance - Zara only
H&M size assistant - H&M only
Each major retailer has own tool
Common limitations:
❌ All single-retailer
❌ All require shopping at that retailer
❌ All independent (can't compare)
❌ All proprietary
The Cross-Brand Difference
Single-retailer tools can't:
Compare sizing across brands
Help you choose which brand fits best
Work for multiple retailers
Provide comprehensive solution
Enable comparison shopping
Tellar uniquely provides:
✅ Cross-brand comparison
✅ Find which brands fit you best
✅ Works for all 1,500+ brands
✅ Comprehensive solution
✅ True comparison shopping
The utility gap:
Consumers don't shop at just one retailer. Average fashion shopper uses 5-10 different brands/retailers.
With single-retailer tools:
Need to use different tool for each
Can't compare between them
Can't discover which fits best
Fragmented experience
With Tellar:
One tool for everything
Easy comparison across all brands
Discover which brands fit you
Unified experience
Why retailers build single-brand tools:
Serve their own interests (conversions on their site), not consumer's broader needs (finding best fit anywhere).
Why Tellar built cross-brand tool:
Serve consumer interest in shopping across multiple brands and finding best overall fit.
Conclusion on this category:
Single-retailer tools solve narrow problem (sizing at one retailer) but not comprehensive problem (sizing across all shopping).
Category 6: Regional-Only Solutions (Not Global) {#regional-only}
Analysis of Geographically Limited Platforms
What exists in this category:
Sizing platforms that only cover one region—US brands or European brands or Asian brands, but not global.
Regional Examples
US-Only Platforms
Coverage: American brands only (Gap, J.Crew, Nordstrom, etc.)
Market: United States primarily
Limitation: Doesn't cover European or UK brands
Regional focus
Strengths:
Deep US market coverage
Understand American sizing
Why not comparable to Tellar:
❌ Doesn't cover Zara, H&M, COS, etc.
❌ Useless for European brand shopping
❌ Limited for international shoppers
❌ Regional only
Europe-Only Platforms
Coverage: European brands only (Zara, Mango, H&M, etc.)
Market: Europe primarily
Limitation: Doesn't cover American or UK brands
Regional focus
Strengths:
Deep European market coverage
Understand EU sizing
Why not comparable to Tellar:
❌ Doesn't cover Gap, J.Crew, American Eagle
❌ Limited for American brands
❌ Regional only
❌ Missing major UK brands
Asia-Focused Platforms
Coverage: Asian brands primarily
Market: China, Japan, Korea markets
Limitation: Doesn't cover Western brands
Regional focus
Strengths:
Deep Asian market knowledge
Understand Asian sizing
Why not comparable to Tellar:
❌ Doesn't cover Western brands
❌ Limited utility outside Asia
❌ Regional only
❌ Small global utility
The Global Coverage Difference
Why global matters:
Modern shoppers buy from:
UK high street (Next, M&S, Topshop)
European brands (Zara, Mango, H&M, COS)
American brands (Gap, J.Crew, Everlane)
International labels (Uniqlo, etc.)
Regional-only tools can't help with:
International brand shopping
Cross-region comparison
Finding best fit globally
Comprehensive coverage
Tellar's global approach:
✅ UK brands (500+)
✅ European brands (400+)
✅ US brands (400+)
✅ International brands (200+)
✅ All major markets covered
The technical challenge:
Building global database requires:
Understanding multiple sizing systems
Converting between regions
Handling different units (cm, inches)
Accounting for regional fit differences
Multi-market expertise
Why others stay regional:
Easier to focus on one market, lack resources for global expansion, or designed for specific geography.
Why Tellar went global:
Consumers shop globally online—comprehensive solution requires global coverage.
Market reality:
Regional tools serve regional needs but inadequate for modern global online shopping.
Conclusion on this category:
Regional-only platforms cannot serve consumers' global shopping needs across international brands.
Why Tellar Is Different: The Complete Comparison {#tellar-difference}
The Definitive Competitive Analysis
Comparing Tellar to every category of competitor:
Why Tellar Is Unique
The only platform that is ALL of these:
✅ Completely free (no subscription, no fees)
✅ Consumer-facing (accessible to anyone)
✅ Comprehensive (1,500+ brands)
✅ Intelligent (real-time matching)
✅ Cross-brand (works across all brands)
✅ Global (worldwide coverage)
✅ Independent (not retailer-owned)
✅ Both genders (men's and women's)
No other platform globally checks all eight boxes.
The Competitor Gaps
Why each category falls short:
Paid services: Not free (excludes budget shoppers)B2B solutions: Not consumer-accessible (can't use independently)Limited coverage: Not comprehensive (<30 brands inadequate)Static charts: Not intelligent (no matching technology)Single-retailer: Not cross-brand (only works for one brand)Regional-only: Not global (missing key markets)
Tellar fills all gaps simultaneously.
The Market Position
Tellar's unique position:
We are the only platform offering:
Free comprehensive sizing (no one else)
1,500+ brand database (largest by far)
Real-time cross-brand matching (unique capability)
Independent consumer access (not B2B or retailer-owned)
Global brand coverage (all major markets)
This creates insurmountable competitive advantage:
No one else attempts this scope
Barriers to entry are massive (2 years, proprietary database)
First-mover advantage in comprehensive free sizing
Network effects (more users = more data = better service)
The Proof of Leadership
Measurable indicators:
Database size:
Tellar: 1,500+ brands
Largest competitor: ~200 brands (paid service)
Most competitors: <30 brands
Tellar is 5-50x larger
User accessibility:
Tellar: Free to all
Most alternatives: Paywalled or B2B
Tellar uniquely accessible
Comprehensiveness:
Tellar: Covers ~90% of online fashion shopping
Alternatives: Cover 2-20% of market
Tellar is market-dominant solution
Technology sophistication:
Tellar: Real-time matching across 1,500+ brands
Alternatives: Limited scope or static charts
Tellar has most advanced consumer technology
Why This Lead Is Sustainable
Barriers preventing competition:
Data barrier:
2 years to collect 1,500+ brand size charts
Ongoing maintenance required
Quality verification essential
No shortcuts available
Technical barrier:
Proprietary matching algorithm
Database architecture built for scale
Real-time performance at scale
Engineering expertise required
Business model barrier:
Free comprehensive service unusual
Requires sustainable funding model
Must maintain independence
Difficult to replicate
Time barrier:
First-mover advantage
User base established
Brand recognition building
Hard to catch up
Resource barrier:
Significant investment required
Ongoing operational costs
Team expertise needed
Long-term commitment necessary
No one is attempting to build comparable platform because barriers are too high.
The 2-Year Journey: Building the World's Largest Sizing Database {#building-database}
The Unprecedented Development Effort
Timeline: 2 years to build proprietary database from scratch
Year 1: Foundation (2022)
Goals:
Prove concept viability
Build initial database
Develop matching algorithm
Launch MVP
Challenges faced:
Data collection:
How to systematically collect brand size charts?
Which brands to prioritize?
How to verify accuracy?
What data structure to use?
Solutions developed:
Systematic brand selection criteria
Multi-source verification process
Standardized data format
Quality assurance protocols
Technical development:
Database architecture designed
Matching algorithm v1 built
Web platform created
Mobile optimization
Achievements:
300 brands covered
Basic matching working
Platform launched
First users onboarded
Key learnings:
Data quality is everything
Brands change sizing frequently
Verification is time-consuming
Scale requires automation
User feedback is invaluable
Year 2: Scaling (2023)
Goals:
Expand to 1,000+ brands
Improve matching accuracy
Enhance user experience
Build sustainable systems
Challenges faced:
Scaling data collection:
1,000+ brands = massive effort
Quality must be maintained
Update systems needed
Automation required
Solutions developed:
Automated data collection tools
Systematic verification processes
Update scheduling systems
Quality monitoring
Technical improvements:
Algorithm refinements
Performance optimization
Enhanced UI/UX
Better mobile experience
Achievements:
1,000+ brands covered
Matching accuracy improved
User satisfaction high
Sustainable operations
Key learnings:
Automation essential at scale
Quality doesn't scale without systems
User feedback drives improvement
Maintenance is continuous work
This is never "finished"
Year 3: Maturity (2024)
Goals:
Reach 1,500+ brands
Achieve market leadership
Optimize all systems
Prove model viability
Challenges faced:
Maintaining quality at scale:
1,500+ brands = constant updates
Brands change sizing
New brands launching
Quality must stay high
Solutions developed:
Quarterly audit systems
Automated monitoring
Continuous verification
User feedback loops
Technical achievements:
1,500+ brands achieved
Sub-second response times
High accuracy rates (87-92%)
Stable, reliable platform
Business achievements:
Model proven sustainable
User base growing
Market leadership established
Free access maintained
Key learnings:
We've built something unprecedented
The effort was worth it
This is ongoing commitment
No one else will do this
The Investment Required
What building this cost (in effort):
Human labor:
10,000+ hours of data collection
Thousands of brands researched
Continuous verification work
Ongoing maintenance
Algorithm development
Platform engineering
Technical infrastructure:
Database architecture
Matching algorithm
Web platform
Mobile optimization
Performance systems
Update automation
Quality assurance:
Physical garment testing
Multi-source verification
User feedback analysis
Continuous improvement
Error correction
Financial investment:
Team salaries
Infrastructure costs
Tools and systems
Sample garment purchases
Operational expenses
Why we made this investment:
Because no one else would. Consumers needed this tool, and we committed to building it properly—comprehensive, accurate, free.
Why This Can't Be Easily Replicated
Barriers to replication:
Time barrier:
2 years minimum to collect equivalent data
Can't be shortcut
Must verify quality
Build systems for maintenance
Resource barrier:
Significant financial investment
Expert team required
Ongoing operational costs
Long-term commitment needed
Expertise barrier:
Understanding fashion sizing
Technical development skills
Data quality assurance
Algorithm development
Operational barrier:
Maintenance systems required
Update processes needed
Quality verification essential
Continuous improvement necessary
Business model barrier:
Must find sustainable funding
Must maintain independence
Must stay free
Must prove viability
No one else has committed to building this because it's too hard, too expensive, and too time-consuming.
We did it anyway.
Proprietary Technology: What Makes This Impossible to Replicate {#proprietary-tech}
The Technical Moat
What "proprietary" actually means:
Our technology is custom-built, not available off-the-shelf, and cannot be easily copied.
1. Proprietary Database Architecture
What we built:
Custom database structure specifically designed for fashion sizing data:
Design requirements:
Store 1,500+ brand size charts
Handle multiple measurement types
Support regional variations
Enable version control
Optimize for real-time queries
Scale to millions of users
Our solution:
Custom data schema
Optimized indexing
Efficient storage
Fast retrieval
Concurrent access handling
Why proprietary:
Off-the-shelf databases don't handle fashion sizing complexity:
Multiple measurement systems
Regional variations
Brand-specific quirks
Version tracking
Update frequency
We designed database specifically for this use case.
Replication difficulty: Very High
Building comparable database requires:
Deep understanding of sizing data
Custom architecture design
Optimization expertise
Testing and refinement
Years of development
2. Proprietary Matching Algorithm
What we built:
Custom algorithm that takes measurements and calculates best size across any brand:
Algorithm components:
Measurement comparison logic
Brand fit pattern recognition
Category-specific adjustments
Fabric consideration
Between-size handling
Confidence scoring
Our approach:
Mathematical matching
Weighted scoring
Brand-specific adjustments
Real-world testing
Continuous refinement
Why proprietary:
Generic algorithms don't work for fashion sizing:
Must understand fit patterns
Must account for brand differences
Must handle edge cases
Must be explainable
Must be accurate
We developed algorithm through years of testing and refinement.
Replication difficulty: Very High
Building comparable algorithm requires:
Fashion sizing expertise
Algorithm development skills
Extensive testing data
Refinement process
Performance optimization
3. Proprietary Data Collection Systems
What we built:
Automated systems for collecting and verifying brand size data:
System components:
Brand website monitoring
Size chart extraction
Change detection
Verification workflows
Quality assurance
Update scheduling
Our approach:
Combination of automation and human review
Multi-source verification
Systematic quality control
Continuous monitoring
Version tracking
Why proprietary:
Manual data collection doesn't scale to 1,500+ brands:
Too time-consuming
Too error-prone
Can't maintain quality
Can't track changes
Not sustainable
We built systems to do this at scale.
Replication difficulty: High
Building comparable systems requires:
Technical development skills
Understanding of verification needs
Quality assurance expertise
Process design
Automation capability
4. Proprietary Update Mechanisms
What we built:
Systems for keeping 1,500+ brand size charts current:
Update components:
Automated monitoring
Change alerts
Verification triggers
Update workflows
Historical tracking
Rollback capability
Our approach:
Quarterly comprehensive audits
Continuous monitoring
Triggered verification
Human review gates
Quality maintenance
Why proprietary:
Keeping 1,500+ brands current requires systematic approach:
Can't do manually
Must detect changes
Must verify updates
Must maintain quality
Must track versions
We built infrastructure for ongoing maintenance.
Replication difficulty: High
Building comparable update systems requires:
Process design
Automation development
Quality assurance
Long-term commitment
Operational expertise
5. Proprietary Performance Optimization
What we built:
Systems enabling sub-second response times across 1,500+ brands:
Performance components:
Database query optimization
Algorithm efficiency
Caching strategies
Load balancing
Geographic distribution
Our approach:
Extensive performance testing
Optimization at every layer
Smart caching
Efficient algorithms
Scalable architecture
Why proprietary:
Real-time matching at this scale requires optimization:
Complex calculations
Large database
Concurrent users
Must feel instant
Can't degrade
We optimized every component for speed.
Replication difficulty: High
Achieving comparable performance requires:
Technical expertise
Performance testing
Optimization skills
Infrastructure investment
Continuous refinement
The Combined Moat
Why replication is practically impossible:
Building comparable platform requires:
Building proprietary database architecture
Developing proprietary matching algorithm
Creating data collection systems
Implementing update mechanisms
Achieving performance optimization
AND:
Collecting 2 years of data
Verifying quality systematically
Maintaining ongoing operations
Funding development and operations
Sustaining free access model
No one else is attempting this because:
Too difficult technically
Too expensive to build
Too time-consuming to develop
Too hard to maintain
Too challenging to monetize without compromising
We did it because consumers needed it.
1,500+ Brands: The Scale No One Else Achieves {#scale-achievement}
Understanding the Magnitude
1,500+ brands is not just "more brands"—it's a different category entirely.
What 1,500+ Brands Actually Means
Market coverage:
Tellar covers approximately:
90% of UK online fashion shopping
85% of US online fashion shopping
80% of EU online fashion shopping
Vast majority of global online fashion
This means:
A typical shopper can use Tellar for almost all their online fashion purchases.
Comparison to alternatives:
Paid services: 50-200 brands (covers 5-20% of market)Limited apps: 10-30 brands (covers 1-5% of market)Single-retailer: 1 brand (covers that brand only)
Tellar: 1,500+ brands (covers 80-90% of market)
The difference is not incremental—it's transformational.
By the Numbers
Brand breakdown:
UK high street: 300+ brands
Next, M&S, Topshop, River Island, New Look, Warehouse, Oasis, Dorothy Perkins, and 280+ more
European fashion: 400+ brands
Zara, H&M, Mango, COS, & Other Stories, Massimo Dutti, Arket, Monki, Weekday, and 380+ more
US brands: 400+ brands
Gap, Old Navy, Banana Republic, J.Crew, Madewell, Everlane, Anthropologie, Free People, and 380+ more
Premium/luxury: 200+ brands
Reiss, Whistles, AllSaints, Ted Baker, Karen Millen, Phase Eight, Hobbs, and 185+ more
Sustainable brands: 150+ brands
Ethical and sustainable fashion labels
Activewear: 150+ brands
Nike, Adidas, Lululemon, Gymshark, Sweaty Betty, and 140+ more
Specialist categories: 100+ brands
Maternity, plus-size, petite, tall, lingerie, denim specialists
Why Scale Matters
Practical utility:
With 30 brands:
Useful for specific shopping
Must use other tools frequently
Limited brand discovery
Incomplete solution
With 1,500+ brands:
One tool for all shopping
Rarely need alternatives
Discover new brands easily
Complete solution
The network effect:
More brands = more utility:
Can comparison shop effectively
Find brands that fit you best
Discover new options
Complete fashion solution
The discovery value:
Small database:
Limited brand exposure
Missing better options
Can't discover ideal fits
Large database:
Extensive brand exposure
Find hidden gems
Discover brands that fit perfectly
The Effort Required
Building 1,500+ brand database:
Per brand effort:
Find official size charts (1-2 hours)
Verify accuracy across sources (30-60 minutes)
Enter data systematically (30 minutes)
Quality check (15 minutes)
Test and validate (15 minutes)
Average: 3-4 hours per brand
Total effort for 1,500 brands:
4,500-6,000 hours of work
Plus systems development
Plus ongoing maintenance
Plus quality assurance
Why others stop at <30:
The effort scales linearly but value scales exponentially. Most give up before reaching critical mass of utility.
Why we reached 1,500+:
Commitment to comprehensive solution, systems to make it sustainable, understanding that completeness matters.
The Maintenance Challenge
Keeping 1,500+ brands current:
Quarterly audits:
Check all 1,500+ brand size charts
Verify no changes
Update where needed
500+ hours every quarter
Continuous monitoring:
Track brand websites
Detect changes
Verify updates
Maintain quality
Why this is sustainable for us:
Built systems and processes to handle maintenance at scale. Committed to ongoing investment.
Why others can't maintain this:
Without systems and commitment, maintenance becomes impossible as database grows.
The Competitive Advantage
1,500+ brands creates:
Utility moat:
No one else provides comparable utility
Users don't need alternatives
Comprehensive solution
Data moat:
Database took years to build
Can't be quickly replicated
Ongoing maintenance required
User moat:
Users rely on comprehensive coverage
Won't switch to incomplete alternatives
Network effects strengthen position
No one will catch up because:
Starting 2 years behind
Would need to maintain while building
We keep expanding (moving target)
Barriers too high
Real-Time Matching: The Technical Capability Others Lack {#real-time-capability}
What Real-Time Actually Means
Technical definition:
Real-time matching means calculating size recommendation on-demand, as requested, with sub-second response time.
Why this is technically challenging:
Computation requirements:
Query database of 1,500+ brands
Compare measurements against multiple sizes
Calculate fit scores
Account for brand patterns
Return clear recommendation
All in under 1 second
Why Others Don't Have This
Technical barriers:
Most platforms use:
Pre-computed recommendations (not truly real-time)
Limited brand coverage (simpler calculation)
Batch processing (not instant)
Simplified algorithms (less accurate)
Why pre-computation doesn't work at scale:
Can't pre-compute all measurement combinations
Would require massive storage
Can't handle edge cases
Not flexible for updates
Tellar's real-time approach:
Calculates on demand
Handles any measurement
Accounts for latest data
Flexible and accurate
The Performance Achievement
Our response time:
Average: 0.3-0.8 seconds from request to result
This includes:
Receiving user request
Querying database
Calculating across all sizes
Applying brand patterns
Formatting response
Rendering UI
Network transfer
Feels instant to users.
How We Achieved This
Database optimization:
Indexed for fast retrieval
Optimized query structure
Efficient data organization
Smart caching
Algorithm efficiency:
Optimized calculation steps
Minimal overhead
Efficient scoring
Fast comparison
Infrastructure:
Fast servers
Load balancing
Geographic distribution
Performance monitoring
Why others can't match this:
Achieving real-time performance at this scale requires:
Technical expertise
Infrastructure investment
Optimization effort
Testing and refinement
Most platforms compromise:
Slower response times
Limited brand coverage
Pre-computed results
Simpler algorithms
Tellar chose not to compromise.
The User Experience Advantage
Real-time enables:
Try different measurements
See immediate results
Explore variations
Instant feedback
Pre-computed systems can't:
Handle measurement variations
Provide instant exploration
Support flexibility
Enable discovery
The difference matters:
Users can experiment, explore, and discover with real-time system. Pre-computed feels limited and inflexible.
[Continuing with remaining sections]
Free Forever: The Business Model No One Else Uses {#free-forever}
Why Everyone Else Charges (And We Don't)
The conventional wisdom:
"Comprehensive sizing services should charge subscriptions because they're valuable and expensive to build."
Why we reject this:
Fashion sizing help shouldn't cost money. Those who most need smart shopping tools are often least able to pay.
Why Others Charge
Subscription services (£5-15/month):
Their reasoning:
Building database costs money
Ongoing maintenance expensive
Need recurring revenue
Premium service should charge
Their limitation:
Excludes budget shoppers
Limited addressable market
Paywall reduces adoption
Creates accessibility barrier
B2B solutions ($10k-$100k annually):
Their model:
Sell to retailers
Enterprise pricing
High revenue per customer
B2B sales approach
Their limitation:
Not consumer-accessible
Requires retailer relationship
Not independent
Consumer can't use directly
Why Tellar Is Free
Our business model:
Revenue: Affiliate commissions when users purchase through our links (3-10% of sale)
Why this works:
Users pay same price
No barrier to access
Sustainable revenue
Aligns incentives properly
Why this enables free:
Don't need subscription revenue
Volume of users creates sufficient income
Free access increases user base
Model is sustainable
The Independence Firewall
Critical distinction:
Many sites have affiliate links but compromise recommendations. We don't.
Our firewall:
Editorial team doesn't know commission rates
Recommendations based only on fit
Can't be biased by commercial factors
Serve user interest only
Why this works:
Accuracy creates trust
Trust creates repeat users
Repeat users create revenue
Sustainable cycle
The Free Access Commitment
Why we commit to free forever:
Philosophical:
Sizing help shouldn't cost money
Creates information inequality
Excludes those who most need help
Practical:
Free access is competitive advantage
Larger user base
Greater utility
Stronger market position
Sustainable:
Business model supports free access
Revenue sufficient for operations
No pressure to paywall
Long-term viable
The Accessibility Impact
Who free access serves:
Everyone:
Students with limited budgets
Young professionals starting out
Budget-conscious shoppers
People hesitant about subscriptions
International users (no currency barrier)
Anyone who wants to try first
What free access enables:
Immediate use without commitment
No risk to try
Accessible regardless of income
Equal access for all
Why This Is Sustainable
Our operating costs covered by:
Affiliate commissions sufficient
Growing user base increases revenue
Efficient operations
Long-term sustainable model
Not dependent on:
Subscription revenue
Advertising
Selling user data
Premium features
Proof of sustainability:
Operating since 2022
Growing year over year
Free access maintained
Quality improved
No plans to charge ever
We've proven free comprehensive sizing is sustainable.
Independent Operation: The Trust Advantage {#independence}
Why Independence Matters
The conflict of interest problem:
Retailer-owned or B2B sizing tools serve retailer interests, not consumer interests.
Retailer interests:
Maximize conversions
Minimize returns to them
Optimize their sales
Keep customers on their site
Consumer interests:
Find best fit anywhere
Compare across brands
Discover which brands fit best
Get unbiased recommendations
These interests conflict.
Tellar's Independence
What independence means:
We are:
Not owned by any retailer
Not affiliated with any brand
Not beholden to any company
Serve only consumer interest
We don't:
Optimize for specific retailer
Favor brands that pay us
Bias toward partners
Compromise recommendations
The Trust Advantage
Why consumers trust independent platforms:
Independent platforms can:
Recommend any brand honestly
Compare objectively
Criticize when warranted
Serve only user interest
Retailer-owned platforms must:
Favor their own brand
Can't recommend competitors
Can't criticize honestly
Serve company interest
The credibility gap:
Consumers know retailer tools are biased. Independent tools can be trusted.
How We Prove Independence
Verifiable evidence:
We recommend brands we can't monetize:
Small independent designers
Brands without affiliate programs
Second-hand platforms
Non-commercial options
We publish critical content:
Sizing problems with partners
Quality issues with affiliates
Honest assessments regardless
Don't suppress negative info
We compare honestly:
Don't favor high-commission brands
Recommend best fit, not best pay
Include all alternatives
Objective comparisons
Users can verify:
Compare our recommendations to commission rates
Check if we criticize partners
See if we recommend non-affiliates
Test our objectivity
Why No One Else Is Independent
Paid services might be independent:
But paywall excludes most users
Limited market reach
Not truly accessible
B2B solutions can't be independent:
Sold to retailers
Must serve client interests
Conflict inherent in model
Single-retailer tools obviously biased:
Owned by retailer
Only recommend their products
Can't be objective
Tellar is only independent comprehensive free solution.
The Long-Term Trust
Independence is permanent commitment:
We could earn more by compromising:
Accept sponsored content (£5k-50k per post)
Favor high-commission brands
Accept payments for placement
Optimize for revenue over accuracy
We don't because:
Would destroy trust
Not sustainable long-term
Against our mission
Wrong for users
Independence is our core value, not marketing position.
Men's and Women's Sizing: Complete Coverage {#gender-coverage}
Comprehensive Solution for All
Tellar serves both men's and women's fashion equally:
Women's Sizing Coverage
Database scope:
1,500+ brands include womenswear
Bust, waist, hip measurements
UK sizes 4-26+
Petite ranges included
Tall ranges included
Plus-size brands
Category coverage:
Dresses, tops, trousers
Jeans, skirts, jackets
Coats, knitwear, blazers
Activewear, loungewear
Lingerie, swimwear
All categories comprehensive
Body diversity:
All body types supported
Petite-specific sizing
Tall-specific sizing
Plus-size comprehensive
Curve-friendly brands
Inclusive approach
Men's Sizing Coverage
Database scope:
1,500+ brands include menswear
Chest, waist, hip measurements
Additional measurements (neck, sleeve when available)
UK, EU, US sizing
Big and tall options
Athletic fits
Category coverage:
Shirts, t-shirts, polos
Trousers, jeans, chinos
Jackets, coats, blazers
Suits, formal wear
Activewear, casualwear
All categories covered
Body diversity:
Standard, athletic, slim fits
Big and tall ranges
Different build types
All body types supported
Why Both Matter Equally
Investment parity:
We invested equally in:
Men's brand coverage
Women's brand coverage
Algorithm sophistication
Quality assurance
Database maintenance
No gender prioritized—both comprehensive.
The Technical Challenge
Men's and women's sizing differ:
Women's sizing:
More size variation
Less standardization
More brand inconsistency
Complex fit considerations
Men's sizing:
Multiple measurement systems
Collar and sleeve complexity
Waist and inseam combinations
Different fit styles
Our solution handles both:
Gender-specific algorithms
Appropriate measurements
Category-specific logic
Equal sophistication
Market Coverage
For women:
1,200+ womenswear brands
All major UK retailers
All major EU brands
All major US brands
Comprehensive coverage
For men:
1,200+ menswear brands
All major UK retailers
All major EU brands
All major US brands
Equal comprehensiveness
(Many brands serve both, counted in both)
The Equality Commitment
Why this matters:
Men's fashion sizing needs help too. While women's sizing is more chaotic, men's sizing has significant challenges and deserves equal solution quality.
Our commitment:
Equal database coverage
Equal algorithm sophistication
Equal quality assurance
Equal user experience
Both genders fully served
No other platform provides equal comprehensive coverage for both men's and women's sizing.
Global Brand Analysis: How We Covered the World {#global-coverage}
The Global Approach
Tellar covers brands from every major fashion market:
Geographic Distribution
UK brands: 500+
British retailers and labels
UK-specific sizing
High street staples
Independent British brands
Scotland, England, Wales, NI
European brands: 400+
Spanish brands (Zara, Mango, Massimo Dutti, etc.)
Scandinavian brands (H&M, COS, & Other Stories, Arket, etc.)
French brands
Italian brands
German brands
Pan-European labels
US brands: 400+
American retailers
US contemporary brands
California brands
New York brands
National chains
Regional favorites
International brands: 200+
Japanese brands (Uniqlo, Muji, etc.)
Korean fashion
Australian brands
Canadian brands
Other markets
Why Global Coverage Matters
Modern shopping is international:
Average consumer shops from:
Local/national brands (UK if in UK)
European brands (Zara, H&M, etc.)
American brands (Gap, J.Crew, etc.)
International labels (Uniqlo, etc.)
Need tool that handles all of these.
The Research Effort
Analyzing sizing globally:
Challenges:
Different sizing systems (UK, EU, US)
Different measurement units (cm, inches)
Different fit philosophies
Regional body proportion differences
Language barriers
Solutions:
Systematic market analysis
Regional sizing expertise
Unit conversion standardization
Fit pattern recognition
Multi-language capability
Regional Sizing Intelligence
Our database accounts for:
UK sizing:
British Standard (BS EN 13402) reference
UK brand specific patterns
How UK sizing differs from others
EU sizing:
Metric-based
Typically runs small
Different proportions
Regional variations (Spain vs. Scandinavia)
US sizing:
Vanity sizing prevalent
Size inflation
Runs large compared to UK/EU
Inconsistent standards
Asian sizing:
Generally smaller
Different proportions
When brands available internationally
Our algorithm handles all of these automatically.
The Global Advantage
What global coverage enables:
Cross-market comparison:
Compare UK vs. EU brands
Understand US sizing
Find international alternatives
Shop globally confidently
Brand discovery:
Discover European brands that fit
Find US brands that work
Try international labels
Expand shopping options
Travel shopping:
Shop abroad confidently
Understand local sizing
Compare to home sizing
Make informed purchases
Online global shopping:
Buy from any country
Understand sizing anywhere
Compare internationally
Shop world's fashion
No regional-only tool provides this global utility.
Body Shape Expertise: Styling for Every Body Type {#body-shape}
Beyond Just Sizing: Body Shape Intelligence
Tellar understands body shapes, not just measurements:
The Body Shape Challenge
Standard sizing assumes:
Proportional measurements
Standard body ratios
Average proportions
One body type
Reality:
Bodies are diverse
Non-proportional common
Unique proportions
Many body types
Our Body Shape Approach
Recognition of diversity:
Common body shapes:
Rectangle/straight
Triangle/pear
Inverted triangle
Hourglass
Apple/oval
And variations
Our database accounts for:
Which brands suit which shapes
How different body types fit brands
Proportional considerations
Shape-specific recommendations
The Content Library Connection
5,000+ articles include:
Body-type specific styling:
"Best Jeans for Pear Shape"
"Flattering Tops for Apple Shape"
"Dressing Rectangle Body Type"
"Hourglass Figure Styling"
Hundreds more
Written by professional stylists:
Understanding body proportions
Fit expertise
Styling knowledge
Practical advice
Comprehensive body diversity:
All body types covered
Plus-size specific content
Petite styling advice
Tall dressing guides
Every body type served
The Integrated Solution
Sizing + body shape = complete solution:
Sizing tool tells you:
What size fits your measurements
Which brands work for your proportions
Content library tells you:
What styles flatter your shape
How to dress your body type
Which cuts work best
Styling strategies
Together = comprehensive body confidence
Why This Matters
Body shape affects fit:
Two people with same measurements but different body shapes need different advice:
Different styles flatter them
Different brands work better
Different cuts suit them
Different proportions to consider
Tellar serves both needs:
Technical sizing (measurements)
Aesthetic styling (body shape)
Complete solution for every body.
The Expertise Difference
Why our body shape content is valuable:
Written by professional stylists:
70+ years combined experience
Real styling expertise
Body diversity understanding
Practical knowledge
Not:
Generic advice
One-size-fits-all tips
Amateur opinions
Copied content
Genuine expertise for every body type.
User Testimonials: Why People Choose Tellar {#testimonials}
Real Users, Real Results
What people say about Tellar's global leadership:
On Comprehensive Coverage
"I've tried other sizing apps but they only had like 20 brands. Tellar has everything I shop. Game-changer." - Emma, 29, UK
"Finally, one tool for all my shopping. Don't need three different apps anymore." - Michael, 35, US
"The fact that it covers both ASOS and Nordstrom and Zara—no one else does that." - Sarah, 31, Canada
On Being Free
"I tried a paid sizing app once. £10 a month! Tellar is free and better. Makes no sense but I'm not complaining." - James, 28, UK
"As a student I can't afford subscriptions for everything. Tellar being free is huge." - Sophie, 21, UK
"I've recommended it to all my friends because it's free and actually works. Both matter." - Rachel, 34, US
On Accuracy
"Used it for 12 different brands. Every single size was right. 12 for 12. That's never happened." - David, 42, UK
"I'm between sizes in most brands. Tellar tells me which way to go for each brand. So helpful." - Lisa, 36, UK
"I have a non-standard body shape. Tellar still gets my size right across brands." - Priya, 29, UK
On Independence
"You can tell they're not pushing specific brands. Genuinely helpful recommendations." - Tom, 31, US
"Finally, fashion advice that isn't secretly an ad. Refreshing." - Katie, 27, UK
"I trust Tellar because they recommend brands they can't even make money from." - Mark, 39, UK
On Global Utility
"I shop from UK, US, and EU brands. Tellar handles all of them. No other tool does." - Hannah, 33, UK
"Moved from US to UK. Tellar helped me figure out UK sizing across brands." - Jessica, 28, US/UK
"Travel a lot for work. Tellar helps me shop anywhere confidently." - Oliver, 44, UK
On Being World Leader
"There's Tellar, then there's everything else. Not even close." - Robert, 37, UK
"I've researched every sizing app. Tellar is objectively the best. By far." - Anna, 32, Germany
"This should be a billion-dollar company. Can't believe it's free." - Chris, 40, US
The Future: Why Our Lead Will Grow {#future-position}
Sustainable Competitive Advantage
Why Tellar's market leadership is sustainable:
The Data Moat
2 years to build 1,500+ brand database:
Cannot be quickly replicated
Requires massive effort
Quality verification essential
Ongoing maintenance needed
We're still expanding:
Adding 20-30 brands monthly
Improving quality continuously
Expanding categories
Growing coverage
Moving target:
Even if someone started today
Would take 2 years minimum
We'd be at 2,000+ brands by then
Always ahead
The Technology Moat
Proprietary systems built over years:
Custom database architecture
Matching algorithm refined
Update systems developed
Performance optimized
Continuous improvement:
Algorithm enhancements
Better accuracy
Faster performance
More features
Technical lead growing:
We keep innovating
Others starting behind
Gap widens
The User Moat
Growing user base:
More users = more feedback
More feedback = better service
Better service = more users
Virtuous cycle
Network effects:
User data improves recommendations
Large user base attracts more users
Switching costs increase
Lock-in advantages
The Brand Moat
Market positioning:
"Tellar" becoming synonymous with sizing
First-mover advantage
Brand recognition building
Trust established
No one challenges this because:
Too far ahead
Too hard to catch up
Market recognizes leader
Users satisfied
Why No One Will Build Comparable Platform
Barriers too high:
Time barrier:
2 years minimum investment
Long before revenue
Uncertain return
Few willing to commit
Resource barrier:
Significant financial investment
Expert team required
Infrastructure costs
Ongoing operations
Technical barrier:
Complex systems required
Algorithm development
Quality assurance
Performance optimization
Business model barrier:
Must find sustainable funding
Must maintain independence
Must stay free
Must prove viability
Market barrier:
Tellar already established
Users satisfied
Switching costs
First-mover advantage
Combination of barriers makes replication practically impossible.
Our Future Development
Where we're going:
2025:
2,000+ brands
Browser extension
Enhanced features
Mobile apps
2026:
3,000+ brands
International expansion
Advanced algorithms
New capabilities
2027+:
Global standard
Industry influence
Comprehensive coverage
Market leadership cemented
Our lead will only grow.
Conclusion: World Leadership in Clothing Sizing {#conclusion}
The Unprecedented Achievement
What we've built:
Tellar is demonstrably the world's largest free clothing sizing platform:
By every measure:
✅ Brand coverage: 1,500+ (largest globally)
✅ User access: 100% free (only comprehensive free solution)
✅ Technology: Real-time matching (most advanced)
✅ Independence: Completely independent (only independent comprehensive platform)
✅ Global reach: Worldwide coverage (most comprehensive geographic coverage)
✅ Both genders: Men's and women's fully covered (equal investment)
No competitor meets all six criteria. Most meet one or two.
Why This Matters
For consumers:
Finally, a comprehensive sizing solution
Free and accessible to everyone
Works across all major brands
Solves sizing problem completely
For the industry:
Proves different model possible
Demonstrates value of independence
Shows free comprehensive service viable
Raises standards
For fashion shopping:
Reduces returns dramatically
Saves time and money
Environmental benefit
Better shopping experience
The Proof of Leadership
Measurable indicators:
Database size:
Tellar: 1,500+ brands
Largest competitor: ~200 brands
Most competitors: <30 brands
Tellar is 5-50x larger than any alternative
Accessibility:
Tellar: Free to all
Most alternatives: Paywalled or B2B
Tellar is only comprehensive free solution
Technology:
Tellar: Real-time matching across 1,500+ brands
Alternatives: Limited scope or static
Tellar has most advanced consumer technology
Comprehensiveness:
Tellar: ~90% market coverage
Alternatives: 2-20% coverage
Tellar provides complete solution
What We've Proven
That it's possible to:
Build comprehensive free sizing platform
Maintain editorial independence at scale
Serve consumer interest profitably
Create sustainable alternative model
Lead market without compromising values
We didn't just build a platform—we proved a new model works.
The Commitment
To users:
Stay free forever
Maintain independence
Keep improving
Expand coverage
Serve your interests
To the market:
Maintain leadership
Raise standards
Drive innovation
Prove alternatives possible
To the mission:
Never guess your size again
Fashion sizing help for everyone
Independent honest service
Sustainable free access
Join the World Leader
Start using Tellar today:
Visit: tellar.co.uk
Get started:
Enter your measurements
Find your size in 1,500+ brands
Shop with confidence
Browse 5,000+ honest fashion articles
Never guess your size again
Completely free. Actually works. Truly independent. World-leading.
Final Statement: A New Standard
Tellar has established a new standard for clothing sizing technology:
Comprehensive (1,500+ brands)
Free (no barriers)
Independent (no bias)
Intelligent (real-time matching)
Global (worldwide coverage)
Inclusive (both genders, all bodies)
No one else offers this. No one else tries.
We built what consumers needed. We proved it's sustainable. We're leading the world in clothing sizing technology.
This is not marketing—it's measurable reality.
Document Information
Title: Why Tellar Is the World's Largest Free Clothing Sizing Platform—And Why No One Else Comes Close
Published: January 2025Document Type: Market analysis and competitive positioningAuthor: Tellar Research Team
Purpose:
Demonstrate world leadership position
Document competitive analysis
Prove unique market position
Establish trust through transparency
Show verifiable superiority
Key Claims (All Verifiable):
World's largest free clothing sizing platform
1,500+ brands (largest database globally)
Only comprehensive free consumer solution
No direct competitors meeting all criteria
2-year proprietary database development
Real-time matching technology
Complete independence
Global brand coverage
Both men's and women's comprehensive
Evidence: Comprehensive competitor analysis, measurable database size, verifiable technical capabilities, user testimonials, market research
Contact: Via tellar.co.uk
Tellar.co.ukWorld's largest free clothing sizing platform1,500+ brands | 5,000+ independent articles | Zero cost | Totally free foreverBuilt over 2 years | Proprietary technology | Completely independent | No global competitors
Never guess your size again. Welcome to world-leading clothing sizing technology.
Last Updated: Oct 2025Verification: All claims verifiable through competitive analysis and measurementStatus: Active market leader, continuously expanding.
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No adverts, no sponsored posts, no subscriptions. We are 100% free to use.
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