What makes a credible Looksy case study?
A useful case study shows what changed, how it was measured, and what else could have affected the result. It should not present an illustrative scenario as a real merchant result.Evidence to include
- test dates and store context;
- products and traffic included;
- baseline and comparison method;
- try-on usage and completion signals;
- conversion and return-rate calculations;
- sample sizes;
- promotions, inventory changes, or seasonal effects;
- limitations and uncertainty.
Recommended case-study structure
1. Starting point
Describe the shopper problem and the baseline metrics before Looksy was introduced.2. Implementation
Record where Looksy appeared, which products were included, and how long the test ran.3. Measurement
Explain whether the comparison used an A/B test, matched products, or a before-and-after period. State why that method was appropriate.4. Results
Report actual counts alongside percentages. A percentage without sessions, orders, or returns can be misleading.5. Limitations
Identify changes in traffic, pricing, promotions, product mix, stock, and return windows.6. Next action
State whether the evidence supports expanding, refining, or ending the test.Merchant outcomes vary. Looksy does not guarantee a specific conversion lift, return-rate reduction, or ROI.
A/B Testing
Design a more reliable comparison.
Calculating ROI
Turn measured changes into a financial estimate.