Send strategy

Best times to send dispensary text messages

What our send data shows about timing, pacing, and frequency across welcome, promo, restock, and win-back — plus the patterns that consistently underperform.

Last updated May 2026

Most dispensary SMS programs send Friday at 4pm because every other dispensary sends Friday at 4pm. That window is usually the worst time to send — saturation drives down opens, drives up opt-outs, and trains carriers that your traffic spikes when filtering tightens.

Windows that consistently outperform

Late-morning weekday (10:00am–11:30am local)

Pre-lunch attention, low SMS competition, and a long redemption tail through the rest of the day. Strong for promo and restock alerts to mid-frequency segments.

Early evening weekday (5:30pm–7:00pm local)

Post-commute attention with same-day intent. Strong for restock and evening-pickup-friendly offers. Avoid pushing into 8pm+ to stay clear of carrier-sensitive late-evening sends.

Mid-afternoon Saturday (1:30pm–3:00pm local)

Weekend leisure intent without the Friday-4pm saturation effect. Strong for loyalty reminders and informational sends.

Windows to avoid

  • Friday 3:30pm–5:00pm (the saturated default)
  • Before 9:00am local (carrier-sensitive; quiet-hour risk)
  • After 9:00pm local (quiet-hour risk; opt-out spike)
  • Sunday morning (low engagement; high opt-out across the category)

Frequency caps

Across our data, the inflection point is consistent: subscribers who receive more than 5 promotional messages in a 30-day window opt out at roughly 2.4x the rate of subscribers held to 2-3 messages in the same window. Frequency caps protect the channel more than they limit it.

Behavior over template

Static "best time" recommendations age out fast. Per-segment open windows learned from your own data consistently beat any static playbook by 15-25% on engagement. Treat the windows above as starting points, then let the platform learn the segment-specific patterns that actually exist in your customer base.

How to test

  1. Hold a 20% control group on each campaign for 4 weeks
  2. Test a single variable at a time (timing OR pacing OR content)
  3. Measure both revenue per send AND opt-out rate — don't optimize one and burn the other
  4. Let the per-segment learning system take over once you have 8-10 sends of pattern data

Apply this to your store.

A short working session where we map this playbook to your store's audience, current setup, and goals.

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