Creator commerce for restaurants.
Restaurants live on local demand and repeat visits. cyrqle clusters food creators by audience-region density and cuisine affinity, runs reservation- and offer-driven briefs, and ties per-creator QR and promo codes to bookings and covers per location.
Find the creators who move restaurants
Cyrqle clusters restaurants 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.
A national food creator doesn't fill tables in one neighbourhood. Clusters filter by audience-region density so creators reach diners who can actually visit.
The conversion is a reservation or a cover, not a web order. Per-creator QR and promo codes route to booking flows and reconcile to covers per location.
Specials and events move fast. The brief cycle runs in days so creators are live for the window that matters.
Six moves, tuned for restaurants.
- 01cluster.
Food and lifestyle creators grouped by audience region density and cuisine affinity.
- 02match.
Offer and event briefs match clusters whose audiences live in your catchment.
- 03apply.
Local creators apply or are auto-invited from the regional cluster.
- 04run.
Days-not-weeks brief cycle; disclosures enforced at approval.
- 05track.
Per-creator QR + promo per location tie bookings and covers back to creators.
- 06pay.
Fixed, per-cover rev share, seeding (comped visits) or hybrid via Stripe Connect.
Clusters you'd actually run for restaurants.
Audience signal: audience dines out 2+ times/week in-market
Audience signal: high engagement on cafe culture, Spanish primary
Audience signal: audience books special-occasion restaurants
Vertical-specific questions.
Can we attribute table reservations?
Yes. Per-creator QR and promo codes route to your booking flow, so reservations and covers reconcile to the creator and location.
Does seeding mean comped meals?
It can. A comped visit is a seeding model; the resulting bookings still roll up into attributed activity.