Forget views, clicks,
and subscribers.
Creators get paid when they drive real business — foot traffic and online orders, including delivery and other ordering platforms.
Businesses pay a percentage of revenue from the new customers the campaign measurably brought in. Verified at any signal level — public baseline alone is enough. Deeper signals are strongly recommended to keep the lift unambiguous and prevent disputes. That's it.
A performance marketing layer
for local commerce.
Verification works with whatever signals you choose to share. Public baseline data alone estimates lift; but it's a fallback for when stronger ones — first-party transactions and on-site presence — are missing. Granting access to your POS or delivery feed is strongly recommended; it makes the lift unambiguous and prevents disputes. An on-site sensor is added only where a register cannot see the visit. Businesses operating on baseline alone agree to a small premium that covers the dispute risk.
Public Activity Signals
Counterfactual evidence. Real-time and historical baselines — including weaker aggregated busyness data — isolate the lift the campaign drove: the difference between counting visits and estimating causal lift. Sufficient on its own to produce a confidence-scored lift estimate.
POS & Online Orders
First-party transaction evidence from the register, online checkout, booking system, or platform feed. Removes ambiguity when lift is small or noisy.
On-site Presence
Direct evidence the customer arrived — on-site sensor counts the presence signals. Installed where a register cannot see the visit, such as cash-heavy trades.
Percentage of incremental revenue
Once the lift is verified, the business is invoiced a percentage of the revenue from the new customers we drove. Creators receive their share through the same hash-anchored record.
Verification, not vibes. Creators are paid when the lift is real — measured against a baseline, corroborated by transaction and presence signals where available. The model makes fake reviews, bot views, and click fraud expensive and hard to scale.