20%+ AOV lift in 60 days. Or we keep working free until you get there.
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Recommendations in seconds. Live bundles in 24 hours. 2,000+ health & wellness stores bundled. The SKU logic, the customer journey, the placement, dialed for your store and price point.
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SKUs paired by gut, not by stack logic
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Co-purchase data treated as gospel
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No goal framing, no reason to add to cart
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No subscription attach, no LTV mechanic
+Three signals shape every recommendation we make for your store. This is the engineering most bundle apps don't build.
Order patterns, attach rates, subscription conversion, AOV bands by stack type. We read your full order history before recommending a single SKU pair.
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.
Which stacks convert. Which goal frames pull traffic. Which bundles convert to subscription. How to price without killing margin or attach. Calibrated to your H&W 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.
Bundles like "The Sleep Stack," "PMS Reset Protocol," and "Post-Workout Recovery Stack" describe a customer outcome instead of a SKU combination. This is the highest-converting frame in H&W: your customer is searching for the goal, and you're answering with the protocol.
Gut Reset Protocol · Energy & Focus Stack · Immune Support Trio.
Customers pick from curated categories with clear roles. A "Build Your Daily Foundation" flow might be base multivitamin + targeted booster + adaptogen; a routine builder could be AM stack + PM stack. Bigger cart sizes, more engagement, fewer abandoned carts.
"Pick 3 from Energy, 2 from Recovery." Tiered discount · Subscription toggle inside the builder
Stack bundles plus auto-replenishment, which lock in LTV and cut churn by becoming part of the customer's routine. Think a "Monthly Greens + Protein Refill" that ships on cadence with the regimen. Customers who subscribe to a stack stay 11+ months on average.
One-off LTV ~$38. Stack-bundle subscriber LTV ~$605. 16× multiplier, same CAC.
Low-AOV entry bundles that convert skeptics and introduce your full range to new buyers. A "30-day Discovery Kit" sized for one rotation lets a new buyer try the regimen before committing. H&W customers are cautious first-time buyers, and a trial kit lowers the barrier.
7-day trial of top 3 SKUs · Priced for first-purchase economics · Built-in upgrade flow
Most stores run a combination of 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.
A composite preview drawn from three recent diagnostic audits across H&W subcategories: one without order data yet, two with full order history. 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 revenue impact. Every audit ships 8–12 of these.
All recommendations ranked on a single page, with €/quarter 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, approve every recommendation before it goes live.
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. Basket analysis, cross-validated archetype, 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, 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.
Real merchants. Real numbers. Real attribution windows.
Vacationland Set (3,039 orders) and Down East Trio (2,517 orders) carry most of the volume. Two well-placed bundles can outperform a sprawling bundle catalog.
Build-your-own bundles became the most-shipped product type within the first month: 224 BYOB orders with multi-SKU combinations across soap, beard, and shampoo categories.
“We shipped a full bundle mechanic stack: buy-more-save-more, quantity breaks, multi-bundle architecture. Easy Bundles handled the configuration depth we needed without compromise.”
“We hit an implementation question, jumped on a same-day working session, and got the bundle live. It was a smart, technical conversation, not a templated support response.”
“Pre-made bundles weren't scaling: too much manual work, too little flexibility. Switching to build-your-own bundles let us match products to customer intent at the point of purchase, across every category we carry.”
No vague promises, no "best-efforts" language. We agree on your AOV lift target up front, and if we miss it in 60 days, we keep working at zero added cost until we hit it.
Lock in your guarantee
Minimum 20% AOV lift* against your 90-day baseline, our customers average 34%. Miss it, and we keep optimizing. No renegotiation, no upsell.
*Lift measured on bundle-touched orders against your 90-day pre-launch baseline.
We never pitch a solution before we understand the problem. Most clients are surprised by what we find in the audit.
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, 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. If we miss, we keep working at zero cost until we hit. No cap. No renegotiation.
Your competitors are still configuring bundles.
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 Audit
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