Label PDFs, METRC details, COA evidence, product names, and package counts define the first run.
About
About CannaRewards.
CannaRewards is loyalty for cannabis brands, built into the product label. Each labeled product can become a scan, feedback, reward, and repeat-purchase moment the brand can act on.
Label-first loop
QR-ready output
Batch label handoff, scan, feedback, and rewards.
The story
Built for the product label, not a generic rewards funnel.
The operating loop is simple: a QR-ready label gives customers a reason to scan after purchase, each scan can add points and collect feedback, and reward activity becomes a short list of brand moves.
CannaRewards returns a batch-label list with the QR added for print handoff.
The customer path stays focused on points, feedback, visible rewards, and repeat activity.
Views, saves, claims, feedback, and repeat behavior guide expansion after the label-first loop.
Principles
Every product decision follows four principles.
The goal is a loyalty system brands can explain, launch, and improve from product label signal.
Package first
Make the product the invitation back to the brand.
QR-ready labels give customers a clear reason to scan after purchase.
Feedback in flow
Ask for feedback while the product moment is fresh.
The app can confirm the scan, add points, and capture product feedback in one customer flow.
Demand signal
Use rewards to learn what deserves attention.
Views, saves, claims, and feedback turn the reward menu into a demand read.
Prove then expand
Earn the right to build the bigger platform.
The roadmap widens only after the first launch shows observed pilot scan, feedback, and reward-interest signal.
Roadmap
Launch the core loop first, then expand around what works.
CannaRewards starts with labels first, then layers in scan points, reward costs, feedback prompts, reporting, and checkout paths as the program grows.
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Now
QR-ready label pilot
Batch labels, scan points, first reward menu, and feedback prompt.
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Next
Signal report and weekly moves
Scans, feedback, reward saves, repeat activity, and action queue.
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Later
Expanded reward paths
Digital offers, brand experiences, and product rewards when a participating retailer checkout path is ready.
Launch handoff
Turn the label-first thesis into a pilot brief.
Start with batch materials, reward direction, and the first feedback prompt so the operating loop has a concrete first label run.
QR-ready output
Batch-label handoff
The label-first thesis returns as a print list.
Label PDFs, METRC details, COA evidence, product names, and package counts.
Scan points, reward costs, reward menu direction, and one feedback prompt.
CannaRewards adds the QR and returns the batch-label list for print handoff.