Turn your food & beverage range into a
revenue machine with bundling intelligence.

20%+ AOV lift in 60 days. Or we keep working free until you get there.

Get a free bundle audit

A mosaic of live Shopify bundle storefronts, from concern-based routines and build-your-own-box flows to subscription bundles, all powered by Easy Bundles.Turn your beauty & skincare routines into a revenue machine with bundling intelligence

Recommendations in seconds. Live bundles in 24 hours. 2,500+ food & beverage stores bundled. The box sizing, the consumption cadence, the placement, dialed for your store and price point.

20%+
AOV lift, guaranteed
$153M+
In bundle revenue generated
4.9
On the Shopify App Store
2,500+
Food & beverage stores
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Why most bundles miss
Bundles don't fail.
Poorly sized ones do.
A subscription set to the calendar instead of the household. A 700-flavor catalog with no sampler. A gift box that never converts the giftee. That's how food and beverage bundles die.
It's almost always a strategy problem, not a technology one. Across the food and beverage stores we audit, from coffee roasters to raw pet food to wine shops, the same four mistakes keep showing up.

01

Box sizes set by gut, not by burn-rate and freight math

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A daily coffee drinker burns a pound in two weeks, but the subscription ships one pound a month. A daily broth sipper empties a carton in two days, but the box holds four. Under-supply sends your customer to the grocery aisle to fill the gap. Over-supply fills the freezer and triggers the cancel. The box size that matches real consumption is also the box that makes your shipping math work. Most stores never run either calculation.

02

Flavor variety treated as catalog sprawl instead of a discovery engine

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Seven hundred hot sauces. Six protein bar flavors. Nine broth varieties. Variety is your acquisition asset, but only if there is a sampler that lets a new customer find their favorite at low risk, and a path from "found it" to "subscribe to it." Most stores have the variety pack. Almost none have the bridge. The worst case is a discovery model where customers fall in love with a flavor they cannot reorder.

03

Subscription bolted onto single units instead of the replenishment box

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Subscribe and save on one bottle, one bag, one bar. The margin math barely survives the shipping label, and the cadence is set by a calendar instead of consumption. The subscription that retains is the replenishment box: the case, sized to the household, on the household's schedule. And for episodic products, a rigid monthly cadence actively creates churn.

04

Gift and occasion traffic left as one-time revenue

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For half the brands we audit, gifting is the single biggest traffic spike of the year. The gift ships, everyone is delighted, and neither the gifter nor the giftee ever comes back. No gift-to-subscriber path, no "loved your gift? get it monthly" flow, no occasion calendar beyond December. The gifting engine acquires customers your bundles never keep.
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Inside the engine
Generic apps see your store.
We see
2,500+ food & beverage stores
like yours.

Three signals shape every recommendation we make for your store. This is the engineering most bundle apps don't build.

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The three signals · what the engine reads
Signal 01 ─ Your data
What your customers actually buy together.

Order patterns, attach rates, reorder intervals, AOV bands by box size. We read your full order history, and how fast your customers actually consume what they buy, before recommending a single SKU pair.

100%
of recommendations grounded in your orders
Signal 02 ─ Lookalike priors
What worked for food & beverage stores like yours.

For every store, we find the closest peers, same subcategory, similar catalog depth, similar price point, similar subscription mix. We’ve already seen what worked for them.

2,500+
food & beverage stores in the matchable cohort
Signal 03 ─ Per-category patterns
What scales in food & beverage.

Which box sizes ship profitably. Which variety packs convert to subscription. Which occasions repeat. How to price without killing margin or attach. Calibrated to your food & beverage subcategory, not industry averages.

4
Subcategories read natively: coffee & tea · snacks & confectionery · beverages & alcohol · meals & pantry

This is the difference between a tool and an engine.

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Bundle types built for food & beverage
Every bundle type your store needs.
Built for the way people actually eat, drink, and restock.

We design the right mix of bundle mechanics for your catalog and customer journey. Not every store needs all four, but every winning store runs at least two of them well.

Discovery

The variety pack

The low-risk first purchase for a flavor-driven catalog. A new customer tastes six flavors before committing to twelve of one, then a post-purchase flow routes them to subscribe to the favorites they found.

Example builds

6-flavor sampler at a fixed price · Trial pack sized for one rotation · "Subscribe to your favorites" hand-off

High AOV

The build-your-own box

The food and beverage hero. Customers fill a box in sizes you engineer for shipping viability: 16, 24, or 32 chubs; 6, 12, or 15 bottles; tins by the tray. The tier ladder rewards the fuller box.

Example builds

BYO box with three size tiers · Tiered discounts on the bigger box · Progress bar to completion

Retention

The replenishment box

Subscription on the case, not the unit. Sized to household burn-rate, on a cadence that matches consumption, with easy skip and resize so the freezer never fills and the pantry never runs dry.

Example builds

Subscribe & save on the 24-pack · "Running low?" cadence prompt · Occasion-based replenishment for episodic products

Gifting & seasonal

Gift & occasion sets

Curated sets for the holidays, corporate gifting, and the occasions your category owns, built with a path that converts the gifter and the giftee into repeat customers instead of one December spike.

Example builds

Seasonal gift set with gift-to-subscriber offer inside · Corporate gifting flow · Occasion calendar beyond the holidays

Most stores running with us combine two or three of these. The right mix depends on your catalog, your AOV target, and your subscription strategy, which is what the audit figures out.

From recent audits
Six findings.
Names redacted, structure intact.

A composite preview drawn from recent diagnostic audits across food & beverage subcategories: coffee, snacks, beverages, and pantry. Each numbered marker on the document points to a different element type every audit contains.

Composite preview of a Skai Lama bundle audit

No two audits look the same. The findings change every time; the discipline behind them doesn't. Every report names what's working, what's leaking, what we'd test next, and what we don't yet know.

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What's inside
01
Cover finding

The single observation that frames the whole report. Diagnostic, not promotional.

02
Strategic diagnosis

Pattern recognition. Where your bundle program sits vs the closest structural peers in your subcategory.

03
Storefront finding

Diagnosed from your live site. Often surfaces copy you've already written but never built into a buyable unit.

04
Cohort analysis

Customer segmentation from order data. Which cohorts buy what, at what AOV, and which mechanic each one needs.

05
Bundle recommendation

A named bundle with co-purchase evidence, mechanic, scope, and projected revenue impact. Every audit ships 8–12 of these.

06
Decision brief + open questions

All recommendations ranked on a single page, with impact and the named gaps still to close before launch.

See what your audit looks like
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The platform
Strategy. Build. Proof.
In three moves.

Bundling becomes a managed program: the engine produces the strategy, ships the bundles, and proves the lift. You stay in control by approving every recommendation before it goes live.

01
We diagnose. Then we hand you a strategy.

Connect your store, and the engine processes your data in two passes. First, an instant recommendation while you're still on the install screen. Then within 24 hours, a comprehensive bundle revenue strategy: basket analysis, box-size and cadence archetypes mapped against your subcategory, customer segments identified algorithmically, and 8–12 ranked bundle recommendations with projected impact.

Three to five findings, your specific revenue leaks, named
Customer segments identified from your order history
8–12 bundle recommendations grounded in 2,500+ food & beverage stores
Reorder intervals read per product, translated into box sizes and cadences, with confidence labels
90-day roadmap split into Launch · Expand · Optimize phases
Bundle recommendations
Bundle recommendations
02
You approve. The engine ships every bundle.

Once the strategy is signed off, the build engine takes over. Every bundle in the report, across every type, is created, named, priced, and deployed to your storefront with the right placement and seasonality logic baked in. No dev tickets, no spreadsheets, no theme surgery.

Variety packs and trial samplers with subscribe hand-offs
Build-your-own boxes with size tiers engineered for shipping viability
Subscribe & save replenishment boxes on burn-rate cadence
Gift & occasion sets with gift-to-subscriber flows
Mobile QA, theme integration, checkout testing, handled
Build queue · all bundles
Build queue auto publishing
03
We measure. And prove the lift.

Most bundle apps show views, clicks, and bundle revenue. That's vanity. We measure what your CFO would care about: AOV impact, reorder movement, subscription attach against your 90-day baseline, and placement A/B by template. These are the numbers that justify renewal, not just dashboard tiles.

CFO-grade attribution
CFO-grade attribution
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Receipts, not promises
It works.
Here's the proof.

Real food & beverage brands. Real numbers. Real attribution windows.

Swirl Wine Shop
Wine · Napa, United States
$120K
In bundle revenue in 7 months, with fewer drop-offs at the minimum.

A 6-bottle shipping minimum became the mechanic: a build-your-own bundle with 6, 10, 12, and 15-bottle tiers and discounts that reward the bigger box. The constraint turned into the offer.

Heat Hot Sauce
Hot Sauce · 700+ SKUs · United States
28%
AOV lift, with 10K+ visits to the freebies page.

Tiered free gifts at $20, $50, and $100 turned samples into a discovery engine for the long tail. The giant catalog stopped being browse-paralysis and started being the acquisition asset.

Cross Digital
Pet Food · 3 Brands · United States & UK
$1.1M
In bundle revenue across three pet food brands.

Box sizes engineered for shipping economics first: 16, 24, or 32 chubs, 20lb or 40lb boxes. The bundle became the fulfillment unit, and BYOB plus subscription attach did the rest.

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In their words
★★★★★

"It's the only app we've found that allows us to do fixed-priced bundle building. Support is top-notch."

Swirl Wine Shop
★★★★★

"I've been on Shopify for 8 years and this is the missing link. Plug and play with incredible customization options. 100/100."

Tacticalories Seasoning Company
★★★★★

"Tons of flexible bundling options, we can achieve just about anything we can dream up. No functionality issues, it works very well."

Dewey's Bakery
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The commitment
We put our fee on the line.
In writing.

We don’t do vague promises or “best-efforts” language. Before we start, we agree on an AOV lift target with you in writing. If we don’t hit it in 60 days, we keep optimizing at zero additional cost until we do.

Target AOV lift agreed in writing before we start
60-day clock starts on bundle launch, not contract signing
We keep optimizing free until target is hit. No cap.
No “best-efforts” language. No exit clauses. No upsell.
You own everything we build. No lock-in.

Lock in your guarantee

Blue circular stamp with 60 days guarantee and ADV LIFT text around the edges.
60 Day AOV lift guarantee,
or we work for free.

Minimum 20% AOV lift* against your 90-day baseline. Miss it, and we keep optimizing. No renegotiation, no upsell, no cap.

What the guarantee covers
Box sizing & pairing strategy
Included
Full bundle build & launch
Included
Conversion copy & naming
Included
Subscription cadence matched to consumption
Included
30-day post-launch optimization
Included

*Lift measured on bundle-touched orders against your 90-day pre-launch baseline.

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How we work
Diagnosis first.
Strategy second. Build third.

We never pitch a solution before we understand the problem. Most food & beverage operators are surprised by what we find in the audit, especially how far their subscription cadence sits from how fast customers actually consume.

Day 0–1 · Free
Diagnostic + Strategy

Connect your store. An instant first recommendation appears while the engine is still loading. Within 24 hours, you receive a written bundle revenue strategy: findings, customer segments, 8–12 ranked recommendations, projected impact, and a 90-day roadmap. Before you spend a cent.

Weeks 2–5
Build & Ship

You approve. The engine ships every bundle in the strategy: naming, pricing, placement, size tiers, cadence logic, mobile QA, theme integration, checkout testing. You don't touch a line of code. Each bundle goes live with traceable order IDs as evidence.

Day 60 · Guaranteed
Launch + 60-day guarantee

We track AOV, attach rate, and reorder movement against your guaranteed lift target. If we miss, we keep working at zero cost until we hit. No cap. No renegotiation.

Incredibly powerful and flexible. We now use it as our default shopfront, and it's driven a general uptick in sales, with an upsell on accompanying products through the add-ons.
Alfie & Co Coffee Roasters · Shopify food & beverage brand
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Common questions
Answered straight.
No marketing language.
We've tried bundles before, they didn't work. Why will yours?
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Most failed food & beverage bundles fail for the same three reasons: the wrong box size, no path from the variety pack into a subscription, and a bundle page nobody visits. We diagnose all three before recommending anything. The free audit will tell you exactly why your previous bundles missed, and it's almost never the offer. It's usually a sizing problem (the box doesn't match how fast the household consumes) or a placement problem (the mechanic exists but is invisible at the decision moment).
Why not just build this ourselves with AI?
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AI is great at generating bundle ideas. The problem is what comes after. Prompt a model with your Shopify export and you'll get plausible-looking recommendations, but the model only sees your data. It doesn't know what worked at 2,500+ food & beverage stores like yours, which is half the signal that matters. And even with the right data, generating a strategy is the easy part. The hard part is everything else: sizing boxes against freight reality, wiring subscription cadence to real consumption, building bundle pages, A/B testing placement, tracking attribution. That's where most in-house AI projects stall. And when they do, no one's on the hook for the outcome. We are. If your bundles don't hit 20%+ AOV in 60 days, we keep working free until they do.
Our products are perishable or need cold-chain shipping. Does bundling work for us?
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It works best for you. When shipping is expensive, box sizes that make the freight math work are the difference between margin and loss. That's why we size every bundle for shipping viability first: 16, 24, or 32 chubs, cases not cartons, tiers that clear the cost line. Frozen raw pet food is one of our strongest case studies for exactly this reason, and replenishment boxes sized to consumption keep perishable inventory moving instead of aging out.
We're in grocery and on Amazon. Will DTC bundles compete with our own retail?
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They shouldn't compete on price, and they don't have to. Your own Costco pallet or $2.57 retail bar will always win a price war. DTC wins with what retail cannot carry: build-your-own boxes, exclusive variety packs, first access to limited drops, and the subscription relationship. That's exactly what we build, so your direct channel owns the superfan instead of discounting against your own shelf.
What does it cost?
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Pricing is engagement-based, scoped to your catalog size and bundle complexity. Your free audit includes a transparent quote with no hidden fees, no usage surcharges, and no per-bundle pricing. For most food & beverage brands in the $5M-$50M range, the engagement pays for itself within the first 60 days.
How is this different from just installing a bundling app?
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An app gives you a bundle builder, a UI for configuring bundles you've already decided to make. We give you the strategy that feeds the builder: a written report that names which boxes to ship, for which customer segments, at what sizes, at what cadence, with traceable order IDs as evidence. Then we ship them. The app is just the tool. The engine and the playbook from 2,500+ food & beverage stores are what we bring on top of it.
Do I lose control over what gets bundled?
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No. You approve every bundle, every recommendation, and every change before it ships. The engine makes the recommendations; you make the call. Nothing goes live on your storefront without sign-off, which matters in food & beverage, where the wrong pairing reads as off-brand instantly.
Does this work if my catalog is small? Or huge?
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Both, with different mechanics. Under 30 SKUs: we focus on getting 3-4 high-conversion bundles right, a properly sized replenishment box plus one variety-to-subscribe flow. Over 150 SKUs, like a 700-sauce catalog: we segment into subcategory clusters and ship bundles per segment, with samplers doing the discovery work for the long tail. The 8-12 recommendations number scales with your catalog. It's a ceiling, not a quota.

Your competitors are still discounting single units.

You can lock in a 20%+ AOV lift in 60 days, guaranteed in writing.

Book a free audit. You’ll get a first recommendation in seconds and a written bundle strategy within 24 hours. We pull your store data, benchmark it against the 8,000+ stores in our reference library, and show you the bundle revenue your catalog isn’t capturing yet.

Get a free Bundle Audit