Creator-commerce attribution architecture
A whitepaper on how cyrqle implements first-party attribution — tag, QR, promo — at sub-2KB embed size with creator-level revenue resolution.
This whitepaper describes how cyrqle implements creator-commerce attribution as a first- party system: how the on-page tag stays under 2KB gzipped, how QR codes and promo codes join back to the same creator ID, how the order-data reconciliation runs, and how cohort forward-joins are computed at 30/60/90 days.
What's inside
- The tag — how it stays under 2KB, what events it captures, what it deliberately doesn't.
- The URL convention — creator ID + cluster ID + campaign ID encoding, including the hash routing and link-shortener pattern.
- The QR pipeline — how per-creator QR codes are provisioned, where they route, how they reconcile.
- The promo pipeline — Shopify, BigCommerce, and custom-cart integration shapes; how to handle code sharing and abuse mitigation.
- The reconciliation job — order-data join, dedup logic across surfaces, dispute workflow.
- The cohort forward-join — how 30/60/90-day repeat behavior is computed without losing creator ID.
Who this is for
Eng leads at brands and retailers building or evaluating creator-commerce attribution; ops leads who want to understand what the platform does under the hood; consultants who need a canonical reference to point clients at.
Why we publish this
Attribution that nobody understands is attribution nobody trusts. The architecture is in the open so the numbers can be audited.
Related material.
A step-by-step checklist for brand and agency operators launching their first creator-commerce program on a Creator Commerce OS — discovery, briefs, attribution, compensation, payout.
A playbook for retailers operating a multi-vendor marketplace who want to offer creator commerce as a value-add to their vendor base — workspace architecture, per-vendor rev share, cross-vendor cluster signal.
Compensation ranges by tier, vertical, and region for Q2 2026 across EU and LATAM. Quarterly refresh from operator interviews and aggregated platform data.