Our Evidence
Transparency in how we measure, validate, and report results. Learn about the methodology behind our technology and ROI claims.
This page documents Fytted's methodology for body measurement accuracy, return reduction claims, and ROI calculations. All statistics are based on validated data from our technology platform and retail partners.
Key Facts
- 99% measurement accuracy validated across 10M+ body scans
- 40% average return reduction based on 12-month retailer data
- 65% conversion increase measured via A/B testing
- Results validated across diverse body types and ethnicities
- Methodology audited by independent third parties
- Data collected with user consent per GDPR/CCPA requirements
How It Works
- 1Body measurement accuracy tested against manual measurements
- 2Return reduction calculated by comparing pre/post implementation periods
- 3Conversion rates measured via randomized A/B testing
- 4All results aggregated across multiple retailers for statistical significance
Accuracy: Our methodology follows scientific standards for validation and reporting. Sample sizes, confidence intervals, and limitations are documented for all claims.
Note: Results may vary by retailer, product category, and implementation quality. Individual results depend on factors including traffic volume, existing return rates, and customer adoption.
Body Measurement Methodology
How we achieve 99% accuracy with 70+ body measurements
Data Collection
- User uploads or takes 2 photos (front and side view)
- AI extracts body pose and key landmarks
- Computer vision calculates 70+ measurements
- Processing completed in under 60 seconds
Accuracy Validation
- Compared against professional body scanning equipment
- Validated with manual tape measurements
- Tested across 10M+ body scans
- Error rate within 1cm for key measurements
Diversity Testing
- Validated across all body types (XS to 5XL+)
- Tested with diverse ethnicities and skin tones
- Includes all age groups (18+)
- Performance consistent across demographics
Quality Controls
- Automatic detection of poor image quality
- Rejection of images with obstruction
- Confidence scoring for all measurements
- User prompted for re-scan when needed
Return Reduction Methodology
How we measure and validate our 40% return reduction claim
Measurement Period
- 12-month pre-implementation baseline
- 12-month post-implementation comparison
- Seasonality factors controlled
- Ongoing monthly tracking
Return Categories
- Size-related returns tracked separately
- "Didn't fit" return reason isolated
- Exchange vs refund differentiated
- Product category breakdown available
Sample Requirements
- Minimum 1,000 orders per period
- Statistical significance (p < 0.05)
- Multiple retailers aggregated
- Confidence intervals reported
Calculation Method
- Return Rate = Returns / Orders x 100
- Reduction = (Baseline - Current) / Baseline
- Only size-related returns counted
- Averages weighted by order volume
Aggregated Results
Conversion Rate Methodology
How we validate our 65% conversion increase claim
A/B Testing Setup
- Randomized visitor assignment
- 50/50 split between control and test
- Minimum 10,000 visitors per variant
- Test duration: 4-8 weeks minimum
Metrics Tracked
- Conversion rate (orders/visitors)
- Add-to-cart rate
- Cart abandonment rate
- Time on product pages
User Segmentation
- Fytted users vs non-users compared
- New vs returning visitors
- Mobile vs desktop breakdown
- Traffic source analysis
Statistical Rigor
- 95% confidence level required
- Multiple comparison correction
- Novelty effects monitored
- Long-term tracking post-test
Limitations & Caveats
We believe in transparent reporting. Here are the limitations of our methodology and results:
Results May Vary
The 40% return reduction and 65% conversion increase are averages. Individual results depend on product category, existing return rates, traffic volume, and implementation quality.
Product Category Impact
Form-fitting garments see the highest return reduction (up to 55%). Oversized or loose-fit styles may see lower improvement as fit is less critical.
Customer Adoption Required
Results scale with customer adoption. Full ROI is typically achieved when 20%+ of customers use Fytted sizing before purchase.
Image Quality Matters
Measurement accuracy depends on image quality. Poor lighting, baggy clothing, or low-resolution photos can reduce accuracy.
Data Privacy & Security
GDPR Compliant
Full compliance with EU data protection regulations
CCPA Compliant
California Consumer Privacy Act requirements met
End-to-End Encryption
All body data encrypted in transit and at rest
User Control
Users can delete their data at any time
Ready to See Results?
Join retailers achieving 40% return reduction