Bundle Offers: How Packaging Products Multiplies Average Order Value (AOV)

Bundle offers can increase average order value by helping customers buy several useful products in one purchase. They work best when the products belong together, the price makes sense, and the package solves a clearer problem than any individual item.

A budgeting spreadsheet, cash-flow planner, and short setup guide can become a practical business finance toolkit. A camera, compatible memory card, and protective case can become a convenient starter kit.

However, a larger basket does not automatically produce more profit. Discounts, delivery costs, returns, and changes in conversion can absorb the additional revenue.

Here is how product bundling affects AOV, what research tells us, and how to build an offer customers actually want.

What Is a Product Bundle?

A product bundle combines two or more items into a single offer. Shopify describes bundles as related products commonly offered at a discount. It identifies potential benefits including higher AOV, customer convenience, and greater product visibility.

Discounting is common, but convenience can also provide value. Customers may appreciate a package because someone has already selected compatible products or organised the materials they need.

Choose the structure around the customer’s task.

How Bundles Increase Average Order Value

A simple calculation is:

AOV = Sales after discounts ÷ Number of orders

Define the sales figure consistently. For a separate refund-adjusted measure, deduct refunds associated with those orders.

Platform reports may differ. Shopify’s standard AOV calculation, for example, excludes certain post-order adjustments, including returns and exchanges. Check the definition before comparing dashboards.

Suppose your store receives 100 orders for a $30 guide:

$3,000 ÷ 100 = $30 AOV

You introduce a $50 bundle containing the guide, templates, and a workbook.

If 30 customers choose the bundle while 70 purchase the guide:

(30 × $50) + (70 × $30) = $3,600

Your new AOV becomes:

$3,600 ÷ 100 = $36

That is a 20% increase.

The calculation assumes the bundle does not change the number of orders. Testing must establish whether that assumption holds.

What Research Says About Bundling

There is no universal percentage by which bundles increase AOV. Different products, prices, audiences, and bundle structures produce different results.

Recent order data shows the importance of basket composition

AdScale analysed 451,705 orders from 77 apparel stores using Shopify and WooCommerce in the second quarter of 2026. Its reported median order values were:

However, across the 69 stores with sufficient volume for its shop-level analysis, the correlation between average items per order and store AOV was −0.18.

These observational vendor data show that larger baskets can carry more value, while simply pursuing more items does not establish a successful store-wide strategy. They do not isolate the effect of bundling.

Giving customers a choice can matter

Research by Timothy Derdenger and Vineet Kumar examined Nintendo’s handheld console market using historical sales data and a consumer-choice model.

Their analysis found that mixed bundling—offering both packages and individual products—outperformed bundle-only and individual-product-only strategies in that setting.

This is older, market-specific research rather than a current e-commerce benchmark. Its useful lesson is to consider whether customers still need a standalone option.

As Kumar put it: “It’s crucial to allow that flexibility to the consumer.”

Why Customers Choose Bundles

A good bundle reduces effort. Customers do not have to determine which accessories fit, which documents they need, or how several resources work together.

The offer can provide:

• Convenience: Everything needed is available together.
• Compatibility: The components work with one another.
• Savings: The package costs less than the genuine separate prices.
• Direction: The customer understands how to use the items.
• Completeness: Fewer missing pieces remain after purchase.

The strongest bundle has an obvious purpose.

“Freelancer Client Onboarding Kit” explains more than “Mega Pack of 47 Downloads.”

A long list of files can create work rather than value if customers cannot tell where to start.

Step 1: Choose Products That Solve One Problem

Begin with your best-understood product. Ask what customers need immediately before, during, or after using it.

For an online course, useful additions might include exercises and implementation templates. For a physical product, they might include compatible accessories or consumables.

These are examples of offer design, not reported sales results.

Practical output: Select one main product and two additions with a clear connection.

Step 2: Check What Customers Already Buy Together

Review order histories, support questions, and customer feedback. Look for recurring combinations and missing components.

Useful questions include:

1. Which products appear in the same orders?
2. Which products are purchased within the following month?
3. What do customers ask for after buying?
4. Which accessories cause compatibility confusion?
5. What makes implementation difficult?

Keep your interpretation cautious. Products bought together may serve different household members or unrelated needs. Use the data to propose a bundle, then confirm the logic with customers.

Read Also: The Impact of Countdown Timers on Sales Pages: Urgency Metrics Analyzed

Practical output: Write a short explanation of why each component belongs.

Step 3: Calculate Contribution Before Setting the Discount

Consider a hypothetical physical-product offer:

Sold together at full separate prices, the products generate $42 contribution before other expenses.

At a $60 bundle price, contribution becomes:

$60 − $28 = $32

Compare that with two possible customer behaviours:

• Someone otherwise buying only the main product generates $30 contribution.
• Someone otherwise buying both products generates $42.

The bundle adds $2 in the first case but sacrifices $10 in the second. Include processing, shipping, packaging, support, and expected returns where relevant.

Practical output: Calculate contribution for the bundle and the purchases it may replace.

Step 4: Make the Value Easy to Understand

Show customers:

• Exactly what is included.
• Quantities, formats, or sizes.
• Compatibility requirements.
• Access and delivery details.
• The total price.
• Any genuine saving.
• Relevant return or refund terms.

Use real previews and clear product names. Avoid inflated “worth $997” claims based on prices customers would never actually pay.

Explain how the package helps:

“Prepare your proposal, collect client information, and start the project with matching documents.”

That tells customers what they can accomplish.

Practical output: Create one clear bundle page with an accurate comparison against separate purchasing.

Step 5: Keep the Buying Decision Manageable

More choices can create more work. Start with one bundle beside the main standalone product. Add further options when customer needs justify them.

A sensible structure could be:

• Essential: Main product.
• Toolkit: Main product and supporting resources.
• Supported: Toolkit plus a clearly defined service.

Price support carefully. A digital bundle containing personal feedback can carry substantial labour costs. For physical products, confirm that stock levels and fulfilment systems correctly account for every component.

Practical output: Test the complete purchase, delivery, and refund process before launch.

Why a Higher AOV Can Still Reduce Total Sales

Suppose you compare two versions of a store:

AOV increases by 20%, but sales fall by 4%. Fewer customers purchase, and the additional spending does not compensate. These hypothetical figures show why AOV belongs beside conversion and revenue per visitor.

A package can be attractive to buyers who accept it while discouraging others who only want one item.

Step 6: Run a Fair Bundle Test

Randomly assign eligible visitors to the existing offer or the bundle option. Keep pricing outside the intended change, traffic sources, checkout conditions, and measurement periods comparable.

Choose the main outcome beforehand:

Contribution per visitor = Sales minus defined variable costs, divided by eligible visitors

Also monitor:

• Purchase conversion.
• AOV.
• Bundle selection rate.
• Refunds and returns.
• Support workload.
• Repeat purchases.
• Later sales of bundled components.

Set sample-size and stopping rules before examining results. Allow enough time for refunds and delayed purchases. A before-and-after comparison can be affected by seasonality, advertising changes, or a different customer mix.

Practical output: Document the test conditions and decision criteria before launch.

Watch for Sales You Have Simply Moved Forward

A bundle may encourage someone to buy three months of supplies today. That increases the current order but may reduce purchases next month.

Similarly, a customer buying a complete digital toolkit may have otherwise purchased its components gradually at higher total prices.

Track the same customer groups over a suitable period.

Look for additional contribution across the relationship rather than celebrating only the first basket.

Also investigate unused components. If customers repeatedly say they wanted only one item, a smaller package may serve them better.

A Practical First-Month Plan

The first month establishes the offer and measurement process. A reliable conclusion may require more time and traffic.

Final Thoughts

Bundles can increase order value by making a purchase more useful, convenient, or complete.

The best package has a clear purpose, honest pricing, and components customers genuinely need. Measure its effect on conversion, contribution, refunds, and later purchases.

A bigger basket is encouraging. More value for customers and sustainable earnings for the business make the bundle worth keeping.

FAQ

1. How much can bundles increase AOV?

There is no universal increase. Results depend on bundle adoption, price, product mix, discounts, and changes in purchasing behaviour.

2. Do bundles always need a discount?

No. Curation, compatibility, convenience, or additional support can provide value. Explain that value clearly and test whether customers accept the price.

3. Should products remain available separately?

Often, keeping a standalone option is worth testing. It serves customers who need fewer items and helps reveal whether the bundle creates additional value.

4. What is the best metric for judging a bundle?

Contribution per eligible visitor provides a strong financial measure. Review it alongside AOV, conversion, returns, and subsequent purchases.

Source: adscale.com