BoozeButler

B2B cocktail discovery for spirits brands

Turn website visitors into measurable bottle demand.

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.

Catalog-bound recommendations One embedded widget Bottle-level analytics
Taste profile → Catalog-bound recommendation → Demand signal
Taste profile Sweet berry

Easy-sipping

Catalog-bound recommendation Blueberry Muffin Highball

Recommended SKU

Blueberry Muffin Moonshine
Demand signal 42%

bottle consideration

Retailer CTA
Embedded Runs on your existing campaign page.
Catalog-safe No off-brand bottles or ungoverned recipe guesses.
Measurable Tracks bottle consideration, locator clicks, and recipe engagement.

Product

A premium recommendation layer for your spirits catalog.

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.

Visitor experience

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.

Catalog governance

Recommendations stay inside your portfolio.

Product mappings, recipe families, and bottle eligibility keep the experience aligned with your brand.

Commercial intent

Every result has a next action.

Find-in-store, buy, recipe, and retake actions help turn curiosity into measurable demand.

How it works

From taste signal to bottle signal in four steps.

01

Visitor taste quiz

Capture preferences like sweetness, strength, citrus, mood, and style.

02

Catalog-bound match

Route each profile to a valid recipe and SKU from your portfolio.

03

Bottle and recipe CTA

Give the visitor a clear next step: find, buy, make, or refine.

04

Analytics report

See which bottles, cocktails, and audience profiles are creating intent.

Reporting

Measure the moments between awareness and purchase.

The dashboard is built for brand and growth teams that need to understand bottle consideration, not just page traffic.

Preview the analytics dashboard
Quiz completion 68%

Visitors who finish the guided taste flow.

Bottle consideration 42%

Completers who engage with a bottle CTA.

Find-in-store clicks 19%

Consideration events that move to locator intent.

Recipe engagement 31%

Visitors who expand or act on the cocktail serve.

Walkthrough

Watch the flow from quiz to purchase intent.

See how BoozeButler guides a visitor from taste preferences to a catalog-safe bottle and recipe recommendation in under three minutes.

Pilot

Launch a catalog-safe pilot in about a week.

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.

Request Pilot Details

Common questions from brands

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

See your catalog in the flow.

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.