How do I create product bundles on Shopify?

Shopify's native product bundling is limited: bundles are most commonly built using apps like Bundle Builder, Bundler, or Bold Bundles, or by creating a custom product listing that groups SKUs. The most common approach for DTC brands is a fixed bundle: a curated selection of two to three products offered as a single product listing with a shared add-to-cart button. The bundle gets its own product page, its own product images, and a price set at 10 to 15% below buying the items separately. Klaviyo and your analytics platform can then track bundle buyers as a segment, which matters because bundle buyers have measurably different LTV than individual item buyers.

Do bundles hurt individual product sales?

No, when bundles are correctly designed, they do not cannibalise individual product revenue. A bundle is not a replacement for individual products; it is an additional purchase path for customers who want a complete outcome. Customers who were already going to buy a single product still buy that product. Customers who were going to buy multiple products anyway now have a faster, discounted option to do so. The customers who convert on bundles are typically those who had intent to buy more than one item but hadn't committed to both: the bundle converts that latent intent into a single transaction. The risk of cannibalisation is real only when the bundle discount is deep enough that customers who would have paid full price for two separate items now buy the bundle instead. Keeping the discount at 10 to 15% eliminates this risk in most cases.

What products should I bundle together?

The right products to bundle are those that customers already buy together: not products you want to sell more of. Pull your last 90 days of order data and identify pairs or triplets of SKUs that frequently appear in the same order. These co-purchase patterns reveal what customers already consider a natural combination. A skincare brand might find that customers frequently buy a cleanser and a moisturiser together: that is your bundle. A supplements brand might find that buyers of a pre-workout almost always add a protein powder within 30 days: that is a natural bundle or a post-purchase recommendation. Avoid bundling slow-moving inventory with bestsellers to 'clear stock': this trains customers that bundles mean clearance, which devalues the bundle mechanic long-term.

What is a good bundle conversion rate?

Bundle pages that are well-configured (with strong product imagery, clear value messaging, and a price comparison showing the saving) typically convert at 8 to 12% of visitors. This is 2 to 3 times higher than individual product pages for the same SKUs, because customers landing on a bundle page already have multi-product intent. The more useful metric is bundle attach rate: the percentage of orders that include a bundle. A bundle attach rate of 15 to 25% across all orders is a sign of a healthy bundle programme. Brands with attach rates below 10% typically have a discovery problem: the bundle exists but is not prominently surfaced in the cart, on product pages, or in email flows.

Signal AOV3: Revenue Per Order

Part of the Revenue Per Order signal group

Ecommerce Bundle Strategy: Why Selling Individually Is Costing You Revenue on Every Order

A brand without a bundle strategy is asking each customer to make multiple separate purchase decisions: one per product. A brand with a bundle strategy presents one decision that captures more revenue in a single transaction. The difference is 20 to 35% AOV lift and 40% higher 90-day retention for customers who buy the bundle. Signal AOV3 is active when complementary products exist but no bundled purchase path has been built to sell them together.

What Is the Ecommerce Bundle Gap?

The bundle gap is the revenue lost between what a customer is willing to spend on a complete solution and what they actually spend when products are presented individually. It exists because individual product pages force a sequential mental process: a customer visits a product, decides to buy, then needs to repeat the process for each subsequent item. Friction accumulates. Most customers stop after the first purchase.

Clayton Christensen's Jobs to Be Done framework, applied to DTC ecommerce by Taylor Holiday at Common Thread Collective, identifies the root cause: customers are not buying products: they are hiring a product to do a job. A customer buying a cleanser is hiring a skincare routine. A customer buying a pre-workout is building a fitness stack. When the job requires multiple products, a store that only sells individual items is failing to complete the transaction the customer actually came to make.

Andrew Faris, on the DTC Podcast, frames it as a unit economics problem: bundle buyers spend more per order, return to buy again sooner, and generate higher LTV: all from the same acquisition spend. The bundle does not just increase AOV on the first transaction. It changes the customer relationship.

"We launched two bundles (a starter kit and a complete kit) and within 60 days, 22% of our orders included a bundle. AOV went from $58 to $79. The bundle buyers came back at nearly double the rate of our single-product buyers. One product launch, two metrics moved."

Why Most Ecommerce Brands Don't Have a Bundle Strategy

Four structural gaps explain why bundle strategies are absent even when the product catalogue clearly supports them:

No analysis of co-purchase patterns

The products that should be bundled are already being bought together: just in separate orders over time. Without pulling co-purchase data from the last 90 days of orders, the right bundle combinations stay invisible. Most brands skip this step and either build bundles based on intuition or don't build them at all.

No dedicated bundle page or product listing

A bundle cannot convert without a purchase path. A blog post or a product description that says 'these go well together' is not a bundle: it is a recommendation. A bundle requires a product listing with a single add-to-cart action, a combined price, and product imagery that shows the items as a set. Without this, the purchase intent never converts.

Bundle not surfaced at the point of purchase

Even when a bundle page exists, most customers never see it. The bundle must be surfaced at the moment of highest intent: on the individual product page ('See the complete kit'), in the cart ('You're buying X: customers who buy X also add Y'), and in email flows to single-product buyers. Discovery is the most common failure point for existing bundles.

Bundle discount too small or too large

A bundle discount set below 8% does not feel compelling: customers perceive the saving as negligible. A discount above 20% erodes margin significantly and trains customers to expect large discounts before buying. The 10 to 15% range is the sweet spot: it is enough to signal genuine value without destroying unit economics. Many brands that 'tried bundles and they didn't work' had the discount wrong.

What a Well-Executed Bundle Strategy Looks Like

A bundle strategy that achieves a 15 to 25% attach rate across orders has these elements in place:

Co-purchase data drives bundle selection.

The bundle is built from the items that already appear together in orders most often: not from inventory management decisions. Orders with two or more SKUs from the same brand reveal the natural combinations customers are forming. Those combinations become the bundle.

Each bundle has its own product page with bundle-specific imagery.

A bundle page that shows individual product images in a grid does not convert as well as one that shows the items together as a set. Bundle photography (all three items in frame, styled as a complete solution) signals 'complete purchase' rather than 'list of items'.

Bundle surfaced in three places: product pages, cart, and email.

On each individual product page that is part of the bundle: a call-out below the add-to-cart showing the bundle option and the saving. In the cart: a 'Complete the set' recommendation if the customer has only one bundle component. In post-purchase emails: a prompt to single-item buyers showing the bundle they didn't take.

Bundle discount set at 10 to 15%.

Enough to signal value. Not so much that it trains price-sensitive behaviour. The discount should be shown as both a percentage ('save 12%') and a dollar amount ('save $14'): dual framing increases perceived value.

Bundle buyers tracked as a segment in Klaviyo and analytics.

Bundle buyers behave differently: they have higher AOV, higher retention, and higher LTV. Tracking them as a segment lets you report this, optimise messaging for them specifically, and quantify the revenue impact of the bundle programme.

Benchmarks to Know

20–35%

AOV lift from a well-executed bundle strategy

40%

Higher 90-day retention for bundle buyers vs individual item buyers

2–3×

Higher conversion rate on bundle pages vs individual product pages

10–15%

Optimal bundle discount (vs buying items separately)

15–25%

Target bundle attach rate across all orders

48 hrs

Typical time to build and launch a first bundle on Shopify

Related Signals

AOV1

Low Average Order Value

AOV1 covers the four pre-checkout mechanisms that lift average order value: free shipping thresholds, cart recommendations, bundles, and quantity discounts. AOV3 goes deeper on the bundle component specifically: the strategy, the co-purchase data analysis, and the customer segmentation that follows.

AOV4

Discount Dependency

Many brands that lack a bundle strategy compensate with discounts: running promotions to drive volume that bundles would have captured at full margin. AOV3 and AOV4 are often active simultaneously: the brand is discounting because it has no value-add offer, when the value-add offer it needs is a bundle.

Frequently Asked Questions

What to Do Next

If your store sells complementary products individually with no bundle option, no co-purchase analysis, and no bundle surfacing in the cart: you are asking customers to make three decisions when one would capture more revenue.

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