[ use case ] · D2C

Creator commerce for D2C brands.

D2C brands need creator spend to defend itself with attributable revenue. cyrqle replaces roster CRMs with audience-signal clusters, runs Shopify-native attribution down to per-creator order, and supports rev share natively — not as a CSV reconciliation job.

[ pains ]

What this vertical is fighting.

CAC defense

Creator spend lands in a paid-acquisition spreadsheet without per-creator attribution. cyrqle attributes per creator and per cluster, joinable to your CAC model.

Rev-share ops

Rev share usually means a quarterly CSV reconciliation. cyrqle settles rev share on order, with Stripe Connect handling the payout.

Cohort signal

Creators don't just drive orders; they drive cohorts. Attribution exposes 30/60/90-day repeat behavior per cluster.

[ the loop ]

Six moves, tuned for d2c.

  1. 01
    cluster.

    Creators grouped by audience-purchase behavior and category affinity.

  2. 02
    match.

    Briefs match clusters whose audience overlaps your existing buyer profile.

  3. 03
    apply.

    Creators apply or are auto-invited from cluster.

  4. 04
    run.

    Shopify-aware brief flow with per-creator promo and tag.

  5. 05
    track.

    Per-creator orders attributed by tag, QR, and promo; cohort exposure included.

  6. 06
    pay.

    Fixed + rev share + seeding + hybrid; Stripe Connect pays out on order.

[ example clusters ]

Clusters you'd actually run for d2c.

Skincare repeat-buyers

Audience signal: audience repeats skincare purchases 4+ times/year

Specialist · live
Athleisure converters

Audience signal: audience converts on athleisure under €100

Specialist · live
Subscription openers

Audience signal: audience opens DTC subscription boxes monthly

Specialist · live
[ faq ]

Vertical-specific questions.

How does this work with Shopify?

Native Shopify integration: per-creator promo codes, on-page tag for tag attribution, and rev-share settlement reconciled against order data.

Can we measure cohort repeat behavior?

Yes. Attribution exposes 30/60/90-day repeat behavior per cluster, joinable to your CAC and LTV model.