Shopify reporting for agencies

What we'll pull

• Daily order count, gross merchandise value, and average order value.
• Customer lifecycle: new vs returning, cohort signal, churned-cart counts.
• UTM-tagged product conversions — the link from a specific Instagram post to the order placed two days later.
• Customer Journey Summary (Shopify's native attribution data) — surfaced in the dashboard alongside Kanvro's own attribution heatmap.
• Top-converting products by social channel.

Attribution model

Kanvro's signup attribution today is temporal correlation: posts on the top, signups on the bottom, lined up by date. Shopify will work the same way for the simple case (posts × orders), with an additional layer for the cases where Shopify gives us better data:

• UTM matching — when a campaign URL on Instagram lands on a Shopify product page with the UTM intact, we'll link them deterministically.
• customerJourneySummary — Shopify's own multi-touch attribution data, exposed via the Customer GraphQL API.
• Temporal fallback — for orders without UTM or journey data, we'll fall back to the same date-based correlation we use for signups today.

Why we're building it

SA agencies running e-commerce clients have the same problem agencies running SaaS clients had a year ago: the monthly report says “reach was up” and the client says “but did it make me money?” Signup attribution answers that question for SaaS. Order attribution answers it for e-commerce.

Several founding agencies have asked for this specifically. We're prioritising the Shopify build for Q3 2026 because the existing signup-attribution Cloud Function architecture extends cleanly — same daily sync, same lazy data layer, same AES-256 token encryption.

Tier availability

Shopify will be available on Ignite, Amplify, and Command at launch. Spark Free will not include Shopify (the Shopify Partner API has per-store rate limits that don't suit a free tier).