20%+ AOV lift in 60 days. Or we keep working free until you get there.
Get a free bundle audit
Recommendations in seconds. Live bundles in 24 hours. 8,000+ Shopify stores bundled. The size-and-color logic, the outfit pairing, the placement, dialed for your store and price point.
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The bundle ignores the size-and-colour matrix
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Co-purchase data treated as gospel
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No outfit or occasion frame, no reason to add
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The bundle isn't on the product page
+Three signals shape every recommendation we make for your store. This is the engineering most bundle apps don't build.
Order patterns, attach rates, AOV bands by category, and size-and-colour sell-through. We read your full order history, and which variants move, before recommending a single pairing.
For every store, we find the closest peers, same subcategory, similar catalog depth, similar price point, similar drop cadence. We’ve already seen which bundles worked for them.
Which outfits convert. Which occasion frames pull traffic. Which multipacks lift AOV. How to discount without training shoppers off full price. Calibrated to your subcategory, not industry averages.
This is the difference between a tool and an engine.
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.
Cross-category bundles like “Style It With” and “Complete the Look” sell the outfit the customer is already picturing: dress with bag and heels, hoodie with joggers. This is the native fashion frame, and the strongest brands build it straight off frequently-bought-together data so the pairing is real, not guessed.
Dress + Bag + Heels · Hoodie + Joggers · Shirt + Pant + Jacket.
Same-category quantity bundles, “3 tees for $69,” “Buy 2 get 1 free” on joggers, are uniquely powerful in apparel because people wear and rotate multiples of basics. A fixed price (“$69”) cuts cognitive load and speeds the decision. In the brands that run this well, it’s consistently the highest-revenue bundle type.
“Buy 2 for $39, 3 for $49.” Size set per item. Anchor pricing on the strikethrough.
Let shoppers assemble their own look from a curated collection, with size and colour set on each piece inside the builder. “Build Your Weekend Capsule” or “Pick 4, Save More” turns browsing into a bigger basket and pulls slow-moving styles into the mix alongside heroes. Bigger carts, more engagement, fewer abandons.
“Pick any 4, the more you add the more you save.” In-bundle size + colour picker.
Custom gift bundles tailored to a recipient, and occasion edits like “Wedding-Guest” or “Holiday Gifting,” give shoppers a reason to buy a set instead of one piece. For brands whose prints or pieces already coordinate, a “shop the matching set” gift box is sitting right there. This is the fashion answer to retention, the occasion calendar, not the refill cycle.
Matching-print gift box · Wedding-Guest Edit · Holiday Gift Set · gift wrap + card in the flow.
Most stores running with us combine two or three of these. The right mix depends on your catalog, your AOV target, and your drop cadence, which is what the audit figures out. (Subscription bundles work too, but in fashion they’re really only for basics, tees, socks, underwear, so we treat them as a variant, not the spine.)
A composite preview pulled from recent diagnostic audits across fashion subcategories, women’s occasion, menswear, streetwear, and founder-run boutiques. Each numbered marker on the document points to a different element type every audit contains.
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.
The single observation that frames the whole report. Diagnostic, not promotional.
Pattern recognition. Where your bundle program sits vs the closest structural peers in your subcategory.
Diagnosed from your live site. Often surfaces copy you've already written but never built into a buyable unit.
Customer segmentation from order data. Which cohorts buy what, at what AOV, and which mechanic each one needs.
A named bundle with co-purchase evidence, mechanic, scope, and projected impact. Every audit ships 8–12 of these.
All recommendations ranked on a single page, with impact and the named gaps still to close before launch.
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.
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, outfit and multipack archetypes mapped against your subcategory, customer segments identified algorithmically, and 8–12 ranked bundle recommendations with projected impact.
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.
Most bundle apps show views, clicks, and bundle revenue. That's vanity. We measure what your CFO would care about: AOV impact, cross-category attach, bundle revenue share against your 90-day baseline, and placement A/B by template, with return rate watched as a guardrail so a bigger basket doesn’t quietly become a bigger return.
Real fashion & apparel brands. Real numbers. Real attribution windows.
A “Get the Set” Buy-X-Get-Y widget off the bra collection cross-sold bikinis, shorts and thongs from the cart and PDP, paired with a $98 free-shipping bar to lift cart value. Built on Kite, the discount-and-gift sibling to Easy Bundles.
Letting customers tailor a gift box to who it’s for turned standalone products into giftable sets, lifted satisfaction, and drove repeat purchase. The clearest proof that gifting, not subscription, is the fashion retention lever.
“We used to have a dev code custom bundles every time we needed a new one, which was expensive and time consuming. Now we can create a new bundle and launch it in minutes. Great product and great support.”
“I’d been looking for a build-your-own bundle app for three years. There was always some complication with inventory, the interface, or conflicts with other apps. This is the one solution that works for us.”
“We’ve tried dozens of other apps, and none of them even came close to the functionality and ease of use that this app offers. I very rarely review apps, but this one deserved it.”
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.
Lock in your guarantee
Minimum 20% AOV lift* against your 90-day baseline. Cove tripled theirs. Miss it, and we keep optimizing. No renegotiation, no upsell, no cap.
*Lift measured on bundle-touched orders against your 90-day pre-launch baseline.
We never pitch a solution before we understand the problem. Most fashion operators are surprised by what we find in the audit, especially how much margin is sitting in the outfit they already sell one piece at a time.
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.
You approve. The engine ships every bundle in the strategy: naming, pricing, placement, size/colour pickers, 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.
We track AOV, attach rate, and conversion against your guaranteed lift target, with return rate watched as a guardrail. If we miss, we keep working at zero cost until we hit. No cap. No renegotiation.
Your competitors are still selling one dress at a time.
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 outfit revenue your catalog isn’t capturing yet.
Get a free Bundle Audit
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