The bundling tool era is ending.
The bundling intelligence era is starting.

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

Recommendations in seconds. Live bundles in 24 hours. $153M+ in bundle revenue across 8,000+ Shopify stores: the SKU logic, the customer journey, the placement, dialed for your category and price point.

Get a free bundle diagnostic

Running storewide diagnosis
119,246 customers never returned.
No cross-sell on top 3 PDPs.
No retention mechanic
Discount outside profit band
Storewide product grid being scannedStorewide product grid being scanned
20%
Avg AOV lift in 60 days
$153M+
Bundle revenue generated
4.9
Shopify App Store
8,000+
Shopify merchants
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What we hear every week
Most Shopify brands run bundles.
Almost none run them at full potential.

Five things we hear every week from $5M–$50M Shopify operators. If any sound familiar, you're already halfway to fixing them.

Tried bundles before
"We launched a bundle six months ago. It got traffic, almost zero add-to-carts. Now it just sits there."
Founder · $1.2M DTC brand
Strategy problem
"I threw three bestsellers together at 10% off. Customers ignored it. Turns out that wasn't a bundle, that was a discount in disguise."
Head of Growth · $12M DTC brand
Margin anxiety
"I want to bundle but I'm scared of destroying my margins. I genuinely don't know how to price it right."
Founder · $5M skincare brand
Flying blind
"I have no idea which products my customers actually buy together. I'm guessing at this point."
eCommerce Director · Multi-brand operator
Customer confusion
"My customers ask me on Instagram what they should buy together. Why isn't my store answering that for them?"
Founder · $9M Shopify Plus brand
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The diagnosis
Bundles don't fail.
Poorly designed ones do.
And design is mostly invisible until you've seen thousands of stores.
After diagnostics across 8,000+ Shopify stores, we see the same five mistakes, over and over. None are obvious unless you've seen them at scale. We have.

01

Wrong SKU pairings: gut, not data.

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You paired what seems logical to you, not what your customers buy together. Order history tells a different story. We read it before recommending anything.

02

Generic naming nobody sees themselves in.

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A "3-Pack Bundle" is invisible. A "Starter Kit," "Date Night Box," or "Complete Set" gets clicked. When the name doesn't match how your buyer is thinking about the purchase, they scroll past.

03

Bundles buried where shoppers don't go.

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Bundles convert when they appear during the purchase decision: product page, cart, post-checkout. Hiding them in a "Bundles" collection nobody visits is the most common mistake we see.

04

Discount too small to matter, or too deep to profit.

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There's a precise sweet spot between "not worth it" and "killing margin." For most categories it's narrower than merchants assume. We've tested it across thousands of SKUs. We know where it sits for stores like yours.

05

No retention mechanic. Leaving LTV on the table.

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The highest-LTV brands convert bundle buyers into repeat customers in the same flow: through subscriptions, post-purchase upsells, replenishment reminders. If your bundles are one-and-done, you're paying acquisition costs all over again every order.
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What's changed
Bundling used to be a UI problem.
Now it's an intelligence problem.

How to build a bundle has been commoditized.

The hard question is: what to bundle?

Generic bundle apps give you a builder. We give you the strategy that goes into the builder.

/// The five questions a UI can't answer
01
Which anchor SKU pulls which accessory.
02
Which discount the data justifies (and which it doesn't).
03
Which placement converts.
04
Which season suppresses.
05
Which customer segment to serve.

The answer is in your order history, but reading it requires an engine, not a UI.

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Inside the engine changed
Generic apps see your store.
We see
8,000 stores
like yours.

Three signals shape every recommendation. Three rules govern every output. This is the engineering most bundle apps don't build.

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

Order patterns, attach rates, AOV bands, repeat-buyer behavior. We read your full order history before recommending a single SKU pair.

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

For every store, we find the closest peers: same vertical, similar catalog, similar price point. We've already seen what worked for them.

8,000+
stores in the matchable cohort
03 ─ Per-category patterns
What scales in your vertical.

Which bundle types convert. Where they belong on your site. How to price them. Calibrated to your category, not industry averages.

$153M
of bundle performance in the priors
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The three rules · what every output must pass
Every recommendation passes three checks.
Or it doesn't ship.

We don't recommend strategies our own engine can't justify.

01
Two data sources. We trust the reconciliation, not either one alone.

We compare what your storefront shows against what your orders actually do. When they disagree, deterministic rules decide which to trust. Not averages. Not best-efforts. Reconciled.

02
We match you against the stores already winning with bundles.

Your store gets compared to a curated library of peers: same vertical, similar catalog, similar price point. We learn from what's already working for them. If your peers don't agree on a strategy, we don't pretend they do.

03
AI proposes. Math disposes.

AI generates the bundle strategies. A deterministic gate then checks each one against hard rules. Strategies that fail get rewritten before you ever see them. No black-box. No "trust the model."

This is the difference between a tool and an engine.

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Coverage
Built for every major Shopify vertical
and every bundle type.

From first-order AOV plays to subscription replenishment: the engine adapts to how your category actually buys, and to every bundle format Shopify supports.

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Industries we serve
Apparel & Fashion
4,500+ stores
Health & Wellness
3,500+ stores
Food & Beverage
2,500+ stores
Beauty & Skincare
2,000+ stores
Gifts & Specialty
2,000+ stores
Sporting & Fitness
2,000+ stores
Jewelry & Leather
2,000+ stores
Home & Garden
2,000+ stores
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Bundle types we cover
01
Fixed
02
Mix & Match
03
Build-Your-Own-Box
04
Combined Listings
05
Conditional
06
Quantity Breaks
07
Frequently Bought Together
08
Gift Boxes
09
Subscription
Fixed bundle preview
A curated set sold together at one price.
Mix & Match preview
Shoppers choose items; the bundle price applies automatically.
Build-Your-Own-Box preview
Pick-any-N box with tiered, quantity-based pricing.
Combined Listings preview
Related variants merged into one product page.
Conditional preview
Unlocks an offer when cart rules are met.
Quantity Breaks preview
Buy-more-save-more volume discount tiers.
Frequently Bought Together preview
Data-driven attach recommendations at the PDP.
Gift Boxes preview
Giftable presets with packaging and messaging.
Subscription preview
Recurring bundle with replenishment cadence.
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The platform
Three moves:
Strategy, Build, and Proof.

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

01
We diagnose. Then we hand you a strategy.

Connect your store. The engine processes your data in two passes: an instant first recommendation while you're still on the install screen, and a comprehensive bundle revenue strategy delivered within 24 hours.

Three to five findings: your specific revenue leaks, named
Customer segments identified algorithmically from your orders
8–12 bundle recommendations across the 8-pillar framework
Bottom-up revenue projections 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.

Fixed bundles, mix & match, build-your-own-box
Combined listings, conditional bundles, quantity breaks
FBT, gift boxes, mystery boxes, subscription bundles
Mobile QA, theme integration, checkout testing, all handled
Seasonal activation/suppression rules deployed at the placement layer
Build queue · all bundles
Build queue auto publishing
03
We measure. And prove the lift.

Most bundle apps show views, clicks, bundle revenue. That's vanity. We measure what your CFO would measure: AOV impact, LTV impact, attribution against your 90-day baseline, placement A/B by template. The numbers that justify renewal, not just a dashboard tile.

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

Real merchants. Real numbers. Real attribution windows.

Cove
Fashion
$4.4M
in bundle revenue. 3× AOV. In 9 months.

Order data, not gut, decided what to bundle. Their catalog already had the answer. We just read it.

Cross Digital
Pet Food
$1.1M
across 3 pet food brands.

BYOB plus subscription attach. The two levers most pet brands miss, combined.

Simplified
Home & Lifestyle
$64→$124
AOV nearly doubled. $31K in 24 hours.

Right bundle, right placement. The lift came from where it appeared, not just what it offered.

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Trusted by Shopify brands at every stage
Cove
Customer logo
honeybug
Customer logo
Cross Digital
Customer logo
Simplified
Customer logo
Elevate
Customer logo
Arbor Made
Customer logo
Sanaté
Customer logo
Remedy
Customer logo
neutonic
Customer logo
sodii
Customer logo
Cloveus
Customer logo
The Sak
Customer logo
★★★★★

“We used to dev-code custom bundles every time we needed a new one, expensive and time consuming. Now we launch in minutes.”

Elite Athletic Gear
★★★★★

“Hands down the most responsive, supportive and detail-orientated app team we have ever worked with.”

HoneyBug
★★★★★

“We wish we'd switched to Easy Bundles sooner. The product is so customizable and the support team is so incredible.”

Arbor Made
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The commitment
We put our work on the line.
In writing.

We're tired of vague promises and "best-efforts" language. Before we start, we agree on an AOV lift target with you. 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

60 Day AOV lift guarantee,
or we work for free.

Minimum 20% AOV lift measured against your 90-day baseline. Our customers average 34%. If we miss your target, we keep optimizing: no renegotiation, no upsell, no cap.

What the guarantee covers
SKU pairing strategy
Included
Full bundle build & launch
Included
Conversion copy & naming
Included
Cross-store benchmark report
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 clients are surprised by what we find in the audit.

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, seasonality 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 conversion against your guaranteed lift target. If we miss, we keep working at zero cost until we hit. No cap. No renegotiation.

The app is great, but the team behind it is even better. If you're looking for the white glove treatment you won't find anywhere else, it's HERE.
Sanaté Filtros
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Common questions
Answered straight.
No marketing language.
Do I lose control of my bundling?
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No. You approve every bundle, every recommendation, every change before it ships. The engine recommends. You decide. Most clients describe it as "having a senior bundling team that doesn't need managing."
What if I have an in-house team or agency?
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We work alongside them. Your team owns brand and creative. We own the bundling math: pairing, pricing, placement, attach mechanics. Most clients say it's the cleanest division of labor they've found, not the messiest.
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: no hidden fees, no usage gotchas. For most Shopify Plus merchants, the engagement pays for itself within the first 60 days.
How is this different from 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 goes into the builder: a written report identifying which bundles to build, for which customer segments, with what directionality, at what discount, in which season, with traceable order IDs as evidence. Then we ship them. The app is the tool. We bring the engine and the playbook from 8,000+ stores.
How does the recommendation engine work?
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The engine reads three things: your order data, our reference library of stores already winning with bundles, and per-category patterns from $153M of bundle revenue. Three rules then govern the output: cross-validation between your storefront and your real sales data, lookalike learning from your closest peers, and a quality gate that filters AI-generated strategies before they ship. The deliverable: an instant first recommendation when you connect, a full written strategy within 24 hours.
What's different about your guarantee?
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It's written. It has a number: 20% minimum lift, our customers average 34%. It has a deadline: 60 days from launch. And if we miss, we keep working with zero additional cost. No cap, no renegotiation, no upsell. Most "guarantees" in the app store are marketing copy. Ours has consequences.
Can you handle Shopify Plus complexity (B2B, subscriptions, custom checkout)?
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Yes. We handle Plus-specific requirements: checkout extensibility, B2B catalogs, subscription apps (Recharge, Skio, Stay AI), markets and multi-currency, complex theme architecture. 500+ Shopify Plus merchants run on us today.

Your competitors are still configuring bundles.

You can have a written guarantee on AOV lift by next week.

Book an audit for free. We pull your store data, benchmark it against stores like yours, and show you exactly what's leaving money on the table, before you commit to anything.

Get a free bundle diagnostic