Guided taste quiz, not a generic AI prompt.
Visitors answer approachable cocktail preference questions. The output is deterministic, brand-safe, and built around bottles your team can actually sell.
B2B cocktail discovery for spirits brands
BoozeButler adds a premium embedded widget to your campaign page, matching each visitor's taste to catalog-safe cocktail and bottle recommendations while reporting the intent signals that matter.
Easy-sipping
Recommended SKU
Blueberry Muffin Moonshinebottle consideration
Retailer CTAProduct
BoozeButler behaves like campaign infrastructure: a visitor-facing taste quiz, a catalog-bound recommendation engine, and a reporting layer for the commercial signals behind each interaction.
Visitors answer approachable cocktail preference questions. The output is deterministic, brand-safe, and built around bottles your team can actually sell.
Product mappings, recipe families, and bottle eligibility keep the experience aligned with your brand.
Find-in-store, buy, recipe, and retake actions help turn curiosity into measurable demand.
How it works
Capture preferences like sweetness, strength, citrus, mood, and style.
Route each profile to a valid recipe and SKU from your portfolio.
Give the visitor a clear next step: find, buy, make, or refine.
See which bottles, cocktails, and audience profiles are creating intent.
Reporting
The dashboard is built for brand and growth teams that need to understand bottle consideration, not just page traffic.
Preview the analytics dashboardVisitors who finish the guided taste flow.
Completers who engage with a bottle CTA.
Consideration events that move to locator intent.
Visitors who expand or act on the cocktail serve.
Demo showcase
See how the same embedded product adapts to flavored moonshine, whiskey portfolios, and spirits marketplaces without changing the core contract.
Catalog variety, citrus-safe lanes, promoted SKU surfacing, and bottle-led cocktail recommendations.
Whiskey brandClassic whiskey routing with bottle-match recommendations and purchase-intent CTAs.
Marketplace catalogMulti-brand catalog matching with product-safe recommendations and commerce-oriented actions.
Walkthrough
See how BoozeButler guides a visitor from taste preferences to a catalog-safe bottle and recipe recommendation in under three minutes.
Pilot
We configure the widget, sync your SKUs, map product links, and send a preview for review before launch. Your team places one embed on a page you choose.
Q: Do we need to redesign our website?
A: No. BoozeButler is an embedded widget — add one script to a page you already control. We own the recommendation and analytics layer; your site and catalog stay in your stack.
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
We'll walk through the embedded widget, catalog-safe recommendations, and analytics report using the shape of your portfolio.
Low engineering lift: one embed on your site; BoozeButler handles recommendations and reporting.