Brewery Marketing Automation Ideas for Taprooms

Why This Matters for Breweries

A taproom's marketing calendar is mostly reactive. The Hazy IPA gets rebrewed, the Märzen cans hit day 60 in the cooler, a Thursday regular stops showing up, and somebody has to notice each one and write a message before the moment passes. On a busy week, nobody does.

Marketing automation fixes the noticing part. You decide once what should happen when an event occurs, and the software sends the message when it does. The earlier automated marketing for breweries guide covers what to automate and what to keep human. This one is the recipe box: ten automations a taproom can build, each with its trigger, audience, message, and stop rule. Nobody needs all ten on day one; pick three to start.

How It Works

Every recipe below has four parts.

1. Trigger: the event or condition that starts it.
2. Audience: who is eligible when it fires.
3. Message: what they get, and on which channel.
4. Stop rule: what cancels the automation for a guest, usually the action you wanted them to take.

The recipes split into two families. Trigger-based recipes start with something in your taproom (a keg, a package date, a release). Audience-based recipes start with something in a guest's behavior (a gap in visits, a first visit, a rating).

Five trigger-based recipes

Recipe 1 is the one to build first. The audience already likes the style, so "the Hazy is fresh on tap" reads as news to them. Recipe 2 turns a freshness window (how long a style tastes the way the brewer intended, often weeks for a hazy and months for a stout) into a reason to buy this week, before those cans become a dump-or-discount decision. Recipe 5 protects your most loyal revenue; the mug club guide covers what makes members renew in the first place.

Five audience-based recipes

Recipe 7 targets the guests nobody asks back: most first-timers never return. The second-visit rate calculator shows where your taproom stands. Recipe 9 has a mirror image you should not automate: a guest who rates a beer 1 or 2 stars should hear from a person on your staff. The beer feedback guide covers that side.

The rules every recipe shares

• Opt-in only. A phone number from the card reader is not consent to market. Filter every audience to guests with a recorded marketing opt-in.
• One automated message per guest per week. When two recipes fire for the same guest, send the higher-priority one and hold the other.
• Quiet hours. No texts before 10am or after 8pm local time.
• Priority order. A reasonable default: pickup reminder, win-back, new-on-tap, then everything else.

Example Brewery Scenario

Copper Heron Brewing runs a 7-barrel brewhouse, a 60-seat taproom, and a to-go cooler on Square. About 900 guests are tied to customer records, and 410 have opted in to texts or email. The taproom manager, Dana, had two hours a week for marketing, most of it spent on one Tuesday email.

In August she built three recipes and left the rest for later.

• New-on-tap alert (Recipe 1). When Night Heron Hazy IPA was rebrewed, 96 opted-in guests who had bought a hazy in the last 90 days got a text the afternoon it was tapped. 38 bought a pour or a four-pack within a week.
• Lapsed-regular win-back (Recipe 6). 27 regulars crossed the double-gap line during the month. Each got one text naming their usual, including 9 Bramblewood Brown drinkers. 11 came back within 14 days, and the stop rule cancelled the follow-up for them.
• Second-visit nudge (Recipe 7). 64 opted-in first-timers got a message 12 days after their first visit, naming the Kölsch-style ale on tap that matched what they had ordered. 17 returned within two weeks.

The weekly cap held 22 messages that would have doubled up on the same guests. Dana's Tuesday email still goes out, but it no longer has to do all the work.

Practical Checklist

• Pick three recipes. One trigger-based, one win-back, and one for first-timers is a good first set.
• Check your customer capture. If fewer than a third of transactions are linked to a guest record, fix that at the register first.
• Write each recipe on one line: trigger, audience, message, stop rule. If you cannot fill in the stop rule, the recipe is not ready.
• Set the weekly cap and quiet hours before switching anything on.
• Write the messages like a bartender texting a regular. Name the beer. Skip the exclamation points.
• Pick a measurement window for each recipe (7 or 14 days) and count visits or purchases against it.
• Review monthly. Turn off any recipe that has not moved a visit in two months.

How Brewlytics Helps

Brewlytics runs several of these recipes directly from your POS history, so you set them up once instead of rebuilding lists in a spreadsheet. For how automation fits alongside events, social, and email, see the complete guide to brewery marketing.

• Campaign Triggers fire when a new beer drops, a regular goes quiet, a customer hits a loyalty milestone, or a seasonal release matches a taste segment. Those map to Recipes 1, 6, and 10. Messages go over iMessage, SMS, or email, only to guests who opted in.
• Customer Segments in Customer Insights build automatically from Square history: at-risk regulars measured against their own visit baseline, first-timers, high-value guests, and taste segments like Hazy IPA lovers. Those are the audiences for Recipes 6, 7, and 8, and any segment exports as a CSV with consent flags.
• Freshness Alerts use the freshness window you set for each beer, so a guest hears about their favorite style while it is at its best.
• Attribution shows sends, opens, and attributable visits per campaign, so the monthly review in the checklist does not need a spreadsheet.

Setup starts with connecting Square, which backfills 12 months of transactions on day one. The full list of what runs on its own is on the brewery marketing automation page.

FAQ

(See the schema-ready FAQ block at the end of the page for the full set: good automation ideas, what to build first, send frequency, stop rules, running automation without a marketer, and discounts.)

Ready to switch on your first three recipes?

Your POS already knows who is lapsing, who is new, and who bought the last batch of the beer you just tapped. The recipes above put that knowledge to work on rules you set once.

→ Book a demo and we will show you which recipes your own Square data can run today. → See how Brewlytics works if you would rather look around first.