Segments built from receipts, not guesses
Every segment on our platform is a plain-language rule evaluated against your store's real POS purchase data: who bought, who stopped buying, who spends the most. Rules resolve fresh when you send, not pre-baked into a stale list overnight.
Try it: toggle the rules in the builder and watch the audience re-resolve.
Match customers who…
Customers who bought edibles in the last 90 days.
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Rules re-resolve against synced POS data on every send.
Live demo · simulated audience & data
How POS-data segmentation works
Your POS tickets sync nightly into the platform: completed sales only, tied to customer emails. On top of that data sits a rule builder with a deliberately whitelisted vocabulary: purchase recency, purchase frequency, spend thresholds, signup recency, and engagement windows. You compose rules; the platform shows you a plain-English summary of the audience before anything sends.
Because the rules run on register data, the segments answer commercial questions instead of email-marketing questions. "Who spent over $200 in the last 90 days" is a VIP list. "Who bought in the past year but not the past 60 days" is a win-back list. The platform builds that one for you automatically when it detects lapsed regulars, 899 of them at one store. Each segment feeds directly into the ready-to-send campaign feed, and afterward the same ticket data grades the send through POS revenue attribution. One data source, end to end.
The rules, spelled out
A small vocabulary that covers the audiences dispensaries actually send to.
Purchased in the last N days
Target customers with a completed POS ticket inside any window you choose: the people provably shopping with you right now.
Did NOT purchase in N days
The win-back rule: regulars whose tickets have gone quiet. This is lapse detection from the register, not from email opens.
Spend and frequency thresholds
Purchase count of at least X, or purchase spend of at least $X, within a window, so your VIP tier is defined by receipts instead of guesswork.
Signup recency
New signups within N days, so welcome sends reach people while your store is still fresh in their mind.
Engagement rules
Opened or clicked within N days. Useful for warm-up ordering and re-permission passes, clearly separated from purchase truth.
Resolved fresh at send time
Rules re-evaluate against your synced data when you send. Recurring weekly sends re-resolve the audience every single week.
vs Alpine IQ: the overnight-materialization problem
Alpine IQ's audience system is broad: its homepage tagline is "One platform. Every channel. AI that knows your customers," and the stack includes a Persona CRM, AI-generated audiences, many data sources, and more channels than we cover. That breadth is real, and if you lean heavily on SMS audiences it may serve you well. But its audiences materialize on a roughly nightly schedule: build a new audience this afternoon and it can resolve incompletely or inconsistently until the overnight rebuild finishes. Their own reviewers describe POS data taking up to 24 hours to load. In practice that means the segment you just created is not safely sendable until tomorrow.
Our segments are rules, not snapshots. They re-evaluate against synced data at the moment you send, and weekly recurring campaigns re-resolve membership on every run. A customer who bought yesterday drops out of tonight's win-back send automatically. For stores mid-migration, we also target existing AIQ audiences directly with live member resolution and suppression filtering, which is the backbone of the Alpine IQ coexistence integration.
vs Klaviyo and Mailchimp: no register, no segments
General email platforms segment on what they can see: website events, ecommerce orders, opens, and clicks. For an online brand that is the whole business. For a dispensary it is a keyhole: most of your revenue walks through the front door and pays at the register, invisible to a web-only platform. A "VIP" segment built from click behavior will happily rank your most bored email-openers above the customer who quietly spends $300 in-store every month.
There is also the policy problem: mainstream ESPs restrict cannabis to varying degrees, which makes building your whole retention system on one a standing risk. Purchase-truth segmentation on cannabis-approved, dedicated-IP sending infrastructure gives you the sophistication without the exposure, flat-priced on our public pricing page.
Segments that come with their own campaign
The win-back segment is the clearest example of how this platform thinks: the system noticed 899 regulars at one store had stopped buying, built the segment, and generated the matching designed email with a visible explanation of why it should work. All of that before anyone asked. You stay in control of the send button; the platform does the digging. That is segmentation as a starting point for revenue, not a reporting exercise.
Frequently asked questions
See your own segments in 20 minutes
Book a demo and we'll connect a sample of your store's data, build a spend segment and a win-back segment live, and show you exactly who lands in each.