Turn Website Visitors Into Bottle Demand
BoozeButler matches taste to your catalog — and shows exactly what drives clicks, consideration, and purchase intent.
Watch How BoozeButler Drives Bottle Demand
From quiz to purchase intent — see exactly how it works in under 3 minutes.
- Guided cocktail discovery tied to your catalog
- Bottle-level engagement + intent tracking
- Dashboard showing what actually drives sales
The Problem
Most cocktail tools recommend drinks that don't match your catalog. That breaks trust — and wastes campaign spend.
The Solution
BoozeButler is a brand-safe cocktail recommendation engine that builds cocktails using only your brand's SKUs. Think of it as a structured matching system — not generative guesswork — that maps taste preferences directly to your catalog. Visitors answer a few taste questions; the widget returns a consistent, brand-aligned cocktail and bottle recommendation every time.
BoozeButler can be embedded as a lightweight widget on your website, while recommendations and analytics are powered by our hosted backend. Most brands launch a pilot by placing the widget on a campaign landing page or "Find your best-fit cocktail" page.
How It Works
- Catalog-aware — Recommendations derived from your actual SKUs. No bottles from outside your catalog.
- Brand-safe recommendations — Same taste profile and inventory produce the same recommendation. Predictable and campaign-safe.
- Subtype-aware routing — Bourbon recipes get bourbon bottles. Rye recipes get rye. Single malt, flavored expressions, and multi-spirit portfolios all route correctly.
- Flavor-governed recipes — Flavored cocktail templates (chocolate, vanilla, espresso) only appear when your catalog includes matching flavored SKUs.
- Brand-forward cocktail naming — Drink names reflect your brand. "High West Manhattan" instead of "Bourbon Manhattan."
Built for Real Portfolios
Whiskey, multi-spirit, flavored expressions, single malt — BoozeButler routes each correctly without hand-tuning.
Classic whiskey
Bourbon, rye, single malt — correct routing, brand-forward naming.
Multi-spirit & flavored
Gin, vodka, whiskey, chocolate, vanilla — no cross-category mistakes.
Understand what's driving bottle consideration
See which bottles, cocktails, and taste profiles are actually driving engagement — not just traffic.
- Which cocktails are recommended most often
- Which bottles are driving the most clicks
- How visitor taste preferences map to your portfolio
See What Drives Results
Your dashboard shows what's actually working — bottle interest, purchase intent, and which cocktails and taste profiles convert.
- Bottle consideration and click-through
- Purchase intent signals
- Taste preferences by audience
Preview the dashboard — see how campaign analytics look with your catalog.
Pilot in a Week
We can set up a pilot widget using your catalog in about a week.
We'll configure the widget, sync your SKUs, and send a preview for review before launch.
Common questions from brands
Q: Is this powered by generative AI?
A: No. BoozeButler uses a structured matching system that maps taste preferences directly to your catalog — ensuring consistent, brand-aligned recommendations.
Q: What's required to get started?
A: We configure everything for you. For a pilot, we just need your SKU list, product images, and purchase links.
Q: How quickly can we launch?
A: A typical pilot can be set up in about a week.
Q: Are the demo analytics real?
A: The demo shows the dashboard structure. In a live campaign, you see your actual visitor data and results.
Book a Demo
See your catalog in this flow within a week.
See how BoozeButler would work with your catalog. We'll walk through a short demo and show how recommendations and analytics would look using your catalog.
No engineering work required for an initial pilot.