Sales analytics for independent Colorado dispensaries
We analyze your dispensary's POS and Metrc data and hand you a ranked list of fixes, each with a dollar value attached. Built for independent Colorado dispensaries.
Sample data for illustration.
Colorado cannabis sales fell to about $1.3 billion in 2025, down about 40% from $2.2 billion in 2021.
Source: Colorado Department of Revenue
Wholesale flower prices have dropped about 60% since 2021, so every sale earns less.
Your POS has the answers, but nobody has time to find them.
Cannabis data analytics built for independent dispensaries, not big chains.
Which categories, brands and price tiers drive your sales, and which just take up space.
Which promos drive traffic and which just give away margin.
Average order and attach rate per employee.
Sales by hour and day, so your staffing matches your real rush.
SKUs tying up cash on your shelves.
Sales and sell-through by brand and supplier, so you know who earns their shelf space.
Restructure a discount day that cut profit without adding traffic.
Customers buy fewer add-ons when the line is long. One prepared suggestion at the register closes most of the gap.
One category lost a third of its share of sales over the year while the rest of the store held steady.
Illustrative example based on a sample analysis. Results vary by store.
Export from your POS (Dutchie, Flowhub, Treez, Cova, BLAZE) and Metrc. We sign an NDA before seeing anything.
Two weeks of analysis.
A report with fixes ranked by dollar impact, plus a 60-minute findings meeting.
Our guarantee: fixes worth at least 7× the price of a full 12-month review, or you pay half.
Not sure yet? Start with a free sales snapshot.

I'm Henry Ginsburg, a Revenue Operations leader with almost a decade of experience turning messy sales data into decisions for leadership teams. I built CannaRev to give independent dispensaries access to the kind of analysis big chains have in-house. I use AI built around dispensary sales data: custom analysis designed for how Colorado stores actually sell.
Start with the data you already have. Most of the money is in six places: your product mix, discounts that don't pay for themselves, budtender performance, staffing by hour and day, dead stock, and vendor performance. Our free sales snapshot uses 90 days of your POS data to show you the two biggest leaks, each with a dollar figure.
Yes. We sign a mutual NDA before seeing anything, and we never ask for customer names or patient information. Your data is used for your analysis. We keep only anonymous daily sales totals by category, never your store's name or products, to track market trends. Raw files are deleted within 30 days of your results call, or sooner if you ask.
Yes. I use AI tools to help analyze your sales data and draft your report, and I check every finding myself before it reaches you. The tools I use are set so your data is never used to train AI models. I never ask for customer names or contact details, and if a file includes them, I delete it prior to putting it into any AI tool and notify you immediately that it was provided and has been deleted. Your raw files are deleted within 30 days of your results call, as set out in the NDA we both sign.
Dutchie, Flowhub, Treez, Cova, BLAZE, and most others that export CSV.
About 30 minutes to export your data, plus the review call.
No. We give clean numbers your CPA and attorney can use.
Colorado first. If you're elsewhere, contact us and we'll talk.
I have family in Colorado, so I've spent, and continue to spend, a lot of time there. I understand the market, the customers and the challenges Colorado dispensaries are facing better than any other state's. My focus is on accuracy and impact, not on growing as fast as possible.
Tell us about your store. After a quick call and a mutual NDA, you send one 90-day sales export. Within 2 business days, we walk you through the two biggest findings in your data on a short call, with dollar estimates.
Get the free Colorado market update once a month: statewide sales, wholesale flower prices and how your county compares.