Skip to main content

​
What should I track for Looksy?

Track the shopper journey from exposure through outcome. At minimum, distinguish shoppers who could see Looksy, opened it, completed it, added a product to cart, and placed an order.
  1. Eligible product page viewed
  2. Try-on entry point viewed
  3. Try-on opened
  4. Shopper input submitted
  5. Result completed or failed
  6. Add to cart
  7. Checkout started
  8. Order completed
Use stable event names and include only the properties needed for analysis.

​
Validate before relying on the data

  • Trigger each event once in a test session.
  • Check that failures do not emit success events.
  • Verify product and variant identifiers.
  • Confirm duplicate events are not counted.
  • Test mobile and desktop flows.
  • Compare recorded orders with Shopify totals for the same period.

​
Does a try-on event prove attribution?

No. A shopper using Looksy before purchase shows association, not necessarily causation. Use a controlled experiment or a clearly documented comparison when estimating incremental impact.

​
What should a report include?

  • eligible sessions and try-on starts;
  • completion and error counts;
  • add-to-cart and conversion rates;
  • product, device, and traffic-source segments;
  • return reasons after the return window closes;
  • test dates, sample sizes, and limitations.
Review the current Looksy privacy policy and your store’s own obligations before enabling analytics. Document the events collected, applicable consent flow, access, and retention. Ask support when the published policy does not answer an account-specific question.

A/B Testing

Estimate causal impact more reliably.

Calculating ROI

Use measured outcomes in an ROI estimate.