What is Conversion lift?
Conversion lift is the percentage increase in purchase rate when a specific change — a feature, a layout shift, a new tool — is added to a site, measured against a baseline without that change.
The longer answer
Conversion lift is calculated as the relative difference between a treatment cohort (exposed to the change) and a control cohort (not exposed). On product pages, conversion lift from AR try-on is measured by comparing add-to-cart and purchase rates between shoppers who used the try-on and a baseline of shoppers who did not. Higher lift indicates stronger product-decision confidence.
Why it matters
Conversion lift is the single clearest ROI metric for an ecommerce feature. It translates directly into incremental revenue per visitor. A 30 percent conversion lift on a 50,000-visitor product line is the difference between a profitable product and a marginal one.
How it works
Measure by either an A/B test (some traffic sees the feature, some does not) or a within-user comparison (cohorts who interacted with the feature versus those who did not). Both have caveats — A/B tests can be skewed by sample size; within-user comparisons can suffer from self-selection (engaged shoppers convert better anyway). The most honest dashboards report both and note the confidence interval.
Where this fits in WearRoom
WearRoom dashboards report conversion lift per SKU, weekly. We show the comparison with a confidence label and note when traffic is too thin for the number to be reliable. The point is decisions, not vanity stats.
Questions
What is a realistic conversion lift from AR try-on?
Public industry reports cite ranges from low double-digit to over 50 percent for jewelry and eyewear. The honest answer is it varies by product, price point, and brand baseline. Measure on your own catalog.
How do you separate lift from self-selection?
By reporting both a within-user comparison and a randomized cohort test. Self-selection always inflates within-user numbers; the randomized cohort is the truer signal.