@CritterFritter is unique individual identification really needed? Rewards aren’t based on entrance/exits, so there’s no reason to artificially push up those numbers, therefore if a customer actually does come and go multiple times a day then ultimately that is legit footfall data to show traffic at your store vs time of day.
Curious what the community thinks of the Dor rewards structure below. Also, do you believe the use case for this data is strong enough?
How rewards work
Tier 1 – Non‑Commercial Location (Anywhere)
Earn 50 DOR/day
Tier 2 – Commercial Location
Earn 100 DOR/day
Activation Bonus: $50 in DAG after 90 days live.
Social Media Bonus: $50 in DAG + $50 in DOR for sharing a tagged photo/video on X (Twitter).
Tier 3 – Commercial Location with SaaS Subscription (Revenue Share)
All Tier 2 rewards plus:
25 DOR minted per $1 billed for the Dôr Retail Analytics SaaS dashboard.
50% cash revenue share on the subscription.
Example: A $150/month SaaS subscription = 3,750 DOR/month + $75 cash/month in recurring revenue for the host.
The data collected lacks any type of denoising or authentication. It can’t tell if the same person walked in a door 100 times in a row or if it was 100 different people. Skyhook already had all this info years ago and can distinguish unique individuals. Not to mention its on DAG with a hardware sale, hard pass