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What does the Looksy analytics dashboard show?

The Looksy analytics area reports observed activity connected to the try-on experience. Use it to understand adoption and assisted shopping behavior, but do not treat an association as proof that Looksy caused a sale or prevented a return. Open Apps → Looksy → Analytics in Shopify admin. The metrics available to you can depend on your date range, connected integrations, and tracking access.

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Core metrics

The current analytics experience may include:
  • Users: the number of Looksy-engaged buyer sessions in the selected period. Identified activity is grouped into two-hour sessions; an unidentified try-on starts its own session. This is not a unique-person count.
  • Conversion rate (CR): attributed orders divided by Looksy-engaged buyer sessions. This requires checkout tracking and Shopify protected customer data access.
  • Average order value (AOV): attributed revenue from purchased tried-on items divided by the number of attributed orders, when checkout tracking is available. It is not the full Shopify order value.
  • Added revenue: revenue from purchased items the shopper tried on during the previous seven days, when checkout tracking is available.
  • Add to cart: Looksy buyer sessions that included at least one add-to-cart event.
  • Add to cart %: the share of Looksy buyer sessions that included an add-to-cart event.
  • Revenue per user: attributed revenue divided by the session count shown as Users, when the required revenue and session data are available.
Total revenue and Upsell % may appear as unavailable while their underlying tracking is not yet computed. Do not substitute another metric for an unavailable value.
Conversion rate and Add to cart % are different metrics. Conversion rate divides distinct attributed orders by Looksy-engaged sessions; Add to cart % measures the share of those sessions with an observed add-to-cart event. Because a session can be associated with more than one order, do not interpret CR as a unique-person percentage and do not assume it is capped at 100%.
Read the caption and tooltip beside a metric before comparing it. Revenue metrics require checkout tracking and the necessary Shopify data access. An unavailable or partial metric should remain unavailable rather than being estimated from another number.

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How to use the dashboard

  1. Choose a date range with enough activity to reduce day-to-day noise.
  2. Record Looksy users and product activity as the adoption baseline.
  3. Review product-level activity to find where shoppers use try-on.
  4. Compare equivalent periods and note promotions, theme changes, inventory changes, or tracking gaps.
  5. Use Shopify’s order and return data for completed commercial outcomes.
  6. Test one change at a time before assigning a result to Looksy.
Analytics is observational. Phrase conclusions as “associated with” unless a controlled experiment supports a causal claim.

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Data and privacy checks

Before relying on a report, verify the selected dates, checkout-tracking status, protected-customer-data access, event coverage, consent flow, and currency. Review the current Looksy privacy policy and your store’s own obligations for analytics and customer data.

Conversion Tracking

Define events, attribution boundaries, and validation steps.

A/B Testing

Compare one controlled change against a stable baseline.