Hoodie Analytics
Cannabis market analytics for menu distribution, sales and share, POS and wholesale data, forecasting, site selection, and sales enablement.
Hoodie Analytics, founded in 2020 in Chicago by a team from IRI, Nielsen, NPD, SPINS, and Numerator, applies CPG measurement at the individual dispensary door. Its signature metrics — weighted distribution (share of market dollar volume flowing through doors that carry you) and store-level velocity — show which stores matter and whether you are winning inside them. The data engine mines menus from 12,000+ licensed retailers across the U.S. and Canada (~9 million SKUs), with 4,000 POS systems in its database, and layers in POS and ERP integrations for regression-based sales modeling, and adds anonymized foot-traffic signals plus demographic profiles for every dispensary. Practical outputs include which doors carry competitors but not you, which accounts are slipping, and where the next ten doors should be. Signature products include Market Intelligence, Dispensary Analytics, and Hoodie Connect (retailer-brand inventory sync; free for retailers). Pricing is demo-required and typically modular.
At a glance
- Starting price
- Free
- Category
- Market Analytics
- Cannabis focus
- Cannabis Specialized
- Founded
- 2020
- Company size
- Mid-market
- Contract
- Custom
What it does
- Store-level weighted distribution and velocity across 12,000+ retailers and 4,000 POS systems
- Menu tracking, product locators, and site selection for door-level go-to-market
- Market share, sales analytics, and retailer purchasing / demand forecasting
- POS and wholesale data management, sales enablement, and custom analytics
Key features
12,000+ retailers (US & Canada) · ~9M SKUs tracked · Weighted distribution · Store-level velocity · Menu mining + POS/ERP modeling · Foot-traffic & demographic profiles · Competitive assortment gaps · Market Intelligence · Dispensary Analytics · Hoodie Connect (free for retailers) · New product & promo tracking · Sales projections · 4,000 POS systems
Best fit
Brands, Retailers, Distributors, Operators
Who is it for?
Brand teams using menu distribution, market share/sales analytics, product locators, and sales enablement to win doors, fix assortment gaps, and prioritize accounts.
Wholesale sellers and distributors using wholesale analytics, demand forecasting, and CRM/sales enablement to plan purchasing outreach and keep accounts stocked.
Retail operators using retailer POS analytics, assortment context, site-selection signals, and free Hoodie Connect inventory sync with brand partners.
MSOs and multi-state operators that need door-level competitive assortment, pricing, and sell-through across markets — not just state aggregates.
Investors, corporate strategy, and custom-analytics buyers using Hoodie’s market data and consulting for share, category, and expansion decisions.
Integrates with
Markets served
Hoodie Analytics lists availability in 21 states: CA, CO, AZ, MI, IL, MA, NY, NJ, FL, OR, WA, NV, MD, OH, PA, MO, OK, CT, NM, MN, VA.
Frequently asked
- What is Hoodie Analytics?
- Hoodie Analytics, founded in 2020 in Chicago by a team from IRI, Nielsen, NPD, SPINS, and Numerator, applies CPG measurement at the individual dispensary door. It is listed on CannaStack under Market Analytics software for cannabis operators.
- How much does Hoodie Analytics cost?
- Hoodie Analytics is free to start (Free plan available).
- Who is Hoodie Analytics best for?
- Hoodie Analytics is positioned for Brands, Retailers, Distributors, and Operators. Its core capabilities are store-level weighted distribution and velocity across 12,000+ retailers and 4,000 POS systems, menu tracking, product locators, and site selection for door-level go-to-market, and market share, sales analytics, and retailer purchasing / demand forecasting.
- What does Hoodie Analytics integrate with?
- Hoodie Analytics lists integrations with Retail POS systems, ERP systems, Seed-to-sale systems, Dutchie POS, Jane, and Weedmaps. Each of those platforms is also listed on CannaStack, so you can check both sides of an integration before committing.
Listing last reviewed .