Creator commerce for home goods.
Home goods sell on inspiration and considered, higher-AOV purchases. cyrqle clusters creators by audience aesthetic and home-project signal, runs inspiration-led briefs, and ties per-creator codes and tags to attributed sales across long consideration windows.
Find the creators who move home goods
Cyrqle clusters home goods creators by audience signal — not follower count — so you brief the segment that actually buys. Search by meaning, vet on real engagement, and build a cluster for your campaign.
See how discovery works →
What this vertical is fighting.
Home buying starts with inspiration and ends weeks later. Attribution exposes 30/60/90-day windows so a creator is credited for the sale that closes later.
A creator's home aesthetic has to match the range. Clusters group by audience aesthetic and project type, not follower count.
Orders are larger and slower. Attribution joins order data so revenue, not order count, is what each creator is measured on.
Six moves, tuned for home goods.
- 01cluster.
Creators grouped by audience aesthetic (modern, rustic, minimal) and home-project signal.
- 02match.
Inspiration-led briefs match clusters whose audiences match the range's aesthetic.
- 03apply.
Creators apply or are auto-invited from the aesthetic-matched cluster.
- 04run.
Inspiration-led drafts and approvals run in-platform; disclosures enforced.
- 05track.
Per-creator codes + on-page tag tie sales back to creators across long windows.
- 06pay.
Fixed, rev share, seeding or hybrid via Stripe Connect.
Clusters you'd actually run for home goods.
Audience signal: audience converts on modern home decor
Audience signal: high engagement on home projects, Spanish primary
Audience signal: audience follows premium interior styling
Vertical-specific questions.
How do you handle long consideration windows?
Attribution credits orders within configurable 30/60/90-day windows, which matters in considered home-goods purchases.
Can rev share be net of returns?
Yes. Attribution reconciles against order data, so rev-share can be configured on revenue net of returns.