Stay informed with the latest trends in retail analytics, data-driven strategies, and insights from the Chapters Data team.
A 14-month audit revealed this Colorado dispensary's loyalty program was quietly subsidizing customers who would have shopped anyway. Here's how a structured redesign — driven by cohort and redemption data — recovered $38K in annual margin without losing regulars.
Most retailers track inventory turnover at the category level and miss the SKU-level rot quietly trapping cash. An aging analytics framework gives you a 60-90 day head start to act before slow-moving stock becomes a forced markdown.
Most multi-store operators rank locations on raw revenue and end up making bad decisions. Here's how to normalize the comparison, isolate manager effects from market effects, and pull real signal out of your store-by-store data.
Most dispensary operators built their reporting workflow on spreadsheets because it made sense at the time. Here's an honest look at what that manual tracking actually costs you — and when dedicated cannabis analytics software pays for itself.
Most retailers bring in new products on instinct and find out six months later whether the bet paid off. A 30-day launch analytics framework gives you the read fast enough to double down, reposition, or pull the SKU before it becomes a markdown.
Most dispensaries treat every transaction as one-product-at-a-time. Basket analysis reveals which products move together, where attach-rate gaps quietly cost revenue, and how to merchandise the menu to lift average ticket without a single new customer.
Most retailers track total customers, but cohort analysis reveals what aggregates hide: which acquisition groups stick around and which ones churn — so you can double down on what's actually working.
Running 11 promotions a week, this Arizona dispensary was quietly bleeding margin. Here's how 18 months of POS data revealed which deals were driving real volume — and which were just subsidizing existing customers.
Most small businesses manage cash flow by checking their bank balance. A 13-week rolling forecast gives you the visibility to see cash gaps weeks before they hit — and the lead time to actually do something about them.
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