Fit confidence
Why better fit information matters.
Better fit information can reduce uncertainty at the point of purchase. Here is the evidence, what Radiant can observe, and what it cannot promise.
Fit is still a costly source of uncertainty.
In a 2025 global survey of 6,000 consumers, 61% said they returned apparel because it did not fit.
Read the Shopify sizing guideFit information can change buying behavior.
A published field experiment found that virtual fit information increased conversion and order value while reducing fulfillment costs from returns and home try-on behavior.
Read the research summaryModel the question, not the promise
What could a small change mean for your store?
Use your own traffic and baseline. The uplift remains an assumption you control, so the result stays a transparent scenario rather than a sales claim.
Explore an illustrative scenario
Change the assumptions to understand the shape of an opportunity.
Illustrative scenario only—not a forecast or guarantee. For example, a 5% relative uplift moves a 2% baseline to 2.1%, not 7%. The uplift is your input, not a Radiant performance claim.
What Radiant measures
Learn from the sizing journey itself.
Radiant does not claim to cause every purchase or return. It connects the sizing interaction to observable outcomes so merchants can ask better questions.
- Consultations, requests, recommendations, and table opens
- Add-to-cart behavior after a sizing consultation
- Active sizing time and attributed return rate when attribution is available
- Size mix and product-level insight on higher plans
Useful insight without body profiles
Calculation happens in the shopper's browser. Consent-aware events keep the outcome—not height, weight, age, body shape, or calculated measurements.
Turn context into action
Bring clearer sizing into the product page.
See how the workflow fits together, then compare the chart, session, and analytics limits for your catalog.