Dispensary SMS programs running on batch data are limited to time-of-day broadcasts and weekly promos. Programs running on live POS data can do much more: trigger campaigns on real purchase events, send restock alerts when out-of-stock SKUs return, fire post-visit thank-yous on the actual visit. The lift difference is material.
1. Post-visit thank-you flows
The simplest POS-triggered campaign — and one of the highest-ROI. A short thank-you text 2-6 hours after a visit (varies by category) produces measurable lift in repeat visits within 14 days. The text is brief, references the visit, and offers a small follow-up incentive or relevant next-product suggestion.
2. Restock alerts on out-of-stock SKUs
Customers who came in looking for a specific SKU and left without it are a high-intent audience for restock alerts. POS integration + opt-in capture at the moment of stock-out converts a lost visit into a future visit. Restock alerts typically run 30-50% conversion to visit when the SKU returns within 30 days.
The mechanic
Customers must opt in to restock alerts for a specific SKU at the moment they're told it's out of stock — either at register or via an e-commerce alert subscription. POS integration ties the SKU and the customer together so the alert fires automatically when inventory returns.
3. Category-affinity campaigns from live basket data
Live POS data means basket affinity refreshes continuously. A customer who bought concentrates last week is in the concentrate-affinity segment today, not a week from now. Run category-led campaigns against the live audience — flower drops to flower-leds, concentrate offerings to concentrate-leds — and watch lift improve over generic blasts.
4. Win-back triggered on real lapse risk
Lapse risk is a function of per-customer cadence baseline. POS integration provides the visit timeline that lets you compute baseline and detect crossing. Fire win-back automations the same day a customer crosses their lapse threshold — not on an arbitrary 30-day rule that's wrong for most customers.
5. New-product launches to relevant audiences
A new flower SKU should go to flower-affinity customers first, not to the full list. POS-driven affinity segmentation makes this automatic. The result: higher engagement per send, lower opt-out rates, and a brand experience that feels personal instead of spammy.
6. Tie every campaign back to POS visits
Attribution closes the loop. Every campaign should report not just opens and clicks, but visits and revenue attributed within an attribution window (usually 7-14 days for dispensary SMS). POS integration makes this clean — no spreadsheets, no manual reconciliation. Per-campaign, per-segment, per-store, all in one report.
7. Measure incremental lift, not gross attribution
Gross attribution counts customers who would have visited anyway. Build hold-out groups into every POS-triggered campaign and report incremental visits and revenue. The campaigns with real lift get scaled; the ones that just coincide with visits the customer would have made anyway get retired.