How to Increase Average Order Value on Shopify
A larger Shopify order is useful when the products make sense together and the business can fulfil the offer profitably. Start with a clear AOV definition, then examine bundles, discounts and shipping incentives through the customer’s decision and the costs behind it.

Read Shopify AOV separately from total sales
When reviewing growth metrics, treat Shopify AOV as product revenue at order creation: gross product sales minus discounts, divided by orders. Later edits, exchanges and returns are excluded. An average that includes shipping receipts or tax measures something different and needs a separate name.
For illustration, 80 orders with gross product sales of 96,000 TRY and discounts of 8,000 TRY produce AOV of 1,100 TRY. Review subsequent returns separately. These teaching figures are not client results.
Record the report, period, currency and filters. Examine order count and common basket ranges alongside the average. A few expensive purchases can move the headline figure. Choose an initial product group where shoppers struggle to find a useful companion item rather than changing every offer at once.
Use Shopify Bundles to complete a purchase need
A clear product description explains what a bundle contains and who needs it. Shopify Bundles is Shopify’s free app for fixed bundles and multipacks. Define the customer’s task first: being able to create a package does not establish that the package is useful.
A drawing starter kit might combine a sketchbook, pencils and an eraser. Show quantities and choices. Unwanted clearance items weaken the offer; keep individual products available for shoppers who already own the accessories.
Starter kit
Multipack
Gift set
Check that the discount targets the bundle being sold
Within store operations, test bundles separately from their individual components. Shopify’s documentation says product- or collection-specific discounts need to include the parent bundle product; selecting only the components does not apply that discount to the bundle. Match the offer customers see with the actual eligible product.
Add the bundle alone, then try a basket containing an extra individual component. The package price, extra item and total saving should remain understandable. An offer advertising a discounted set while discounting only a separate item is a customer-support problem waiting to happen.
Automatic discounts require all qualifying items in the cart; do not assume a promotional gift is added automatically. Admin-created automatic discounts do not apply to the post-purchase page. Treat an offer after payment as a separate pricing journey and verify it independently from the cart promotion.
Choose shipping thresholds from basket patterns and costs
In a revenue and cost review, a threshold just above the average is not automatically appropriate. Inspect common baskets, relevant additions and the delivery expense funded by the business. An incentive that requires an unrelated or disproportionately expensive purchase may add friction.
The illustrative figures below exclude tax. Contribution deducts product, payment, packing and merchant-funded shipping costs from product receipts. Advertising and fixed costs are outside the calculation, so the remainder is not net profit. The example shows how a bigger order can leave less contribution; it is not a pricing recommendation.
Repeat the calculation for common combinations. Do not assume discounted items have their full-price margin. Ask fulfilment staff about larger parcels or split shipments before expanding the offer.
| Illustrative order | Product receipts | Variable costs | Contribution |
|---|---|---|---|
| Single item | 800 TRY | 500 + 20 + 20 + 60 = 600 TRY | 200 TRY |
| Discounted set | 1,000 TRY | 650 + 25 + 35 + 110 = 820 TRY | 180 TRY |
Compare a bundle decision through realized contribution
As in a CAC, ROAS and MER review, assess the offer alongside the amount the business retains. Define the order cohort and period, then separate discounts, product cost, shipping contribution and returns. An additional item in a basket is not sufficient evidence of a better offer. Document the customer need it completes and whether fulfillment can support the additional work.
Make mobile bundle selection clear and reversible
Place the bundle contents and product explanation close to the selector. Customers should see what changes when they choose a size or colour. Show actual items and quantities instead of hiding them beneath an ambiguous “add set” button. Declining the bundle must remain easy.
On a phone, select the package, change its quantity and remove it. Check that adding an individual item does not create an unintended duplicate purchase. Review what happens when a component becomes unavailable. Stock, theme and application behaviour meet in this journey; a correct admin record alone does not verify the customer experience.
Begin with one product group. Reduce competing popups or repeated offers that interrupt examination of the main item. The goal is a clearer product decision, not another screen to dismiss.
Evaluate bundle performance beyond the first transaction
Some complementary products fit better in ecommerce email flows after the original purchase. An accessory may only make sense once the customer has used the product. Keep messages relevant, permission-based and consistent with current availability and offer conditions.
Shopify provides bundle sales and component-level reports. Review bundle orders separately from the overall store average, then consider AOV, conversion, discount expense, returns and contribution together. Higher spending among bundle buyers does not prove that presenting the bundle caused the difference.
Before starting, define stop conditions such as mistaken selections, excessive support work or unacceptable contribution loss. Record concurrent price, traffic and catalogue changes. A few attractive orders are not enough to declare success; use comparable evidence to decide whether to continue, revise or stop.
Reconnect returned bundles to the experiment result
In the store management record, connect the initial bundled order with its final state. Attribute partial returns, cancellations, missing items and reshipments to the same offer cohort, and state when the review closes. Removing an unwanted item or declining the offer should remain understandable to the customer. Avoid making a permanent decision from the checkout average before these later outcomes are visible.
Frequently asked questions
Anything else? Write to us.
Does Shopify AOV include shipping and tax?
The sales-report metric uses discounted product revenue at order creation. Keep a collection-based average including tax and shipping separately named. Review the economics of later returns separately as well; they answer a different question from the initial order value.
What should I build first with Shopify Bundles?
A fixed complementary set or a multipack can be a practical starting point. Establish the customer reason and stock-handling process. Newly created bundles are drafts; complete content and cart checks before deciding to activate the product for sale.
Why is my bundle discount missing?
For a product- or collection-specific discount, check that the parent bundle product is included. Selecting only component products is insufficient. Then compare the offer’s conditions with the actual basket and any other active discounts.
Is there one correct free-shipping threshold?
No. Common baskets, relevant add-on prices and delivery costs matter together. Calculate contribution for qualifying orders. A threshold copied from another shop or a broad benchmark does not establish that the same economics work for your business.
What if AOV rises while orders fall?
Review total product revenue, conversion and contribution. A change in expensive-product sales may explain part of the movement. Examine traffic, period and product mix before attributing the result to the offer itself.
What information helps scope an initial AOV review?
Prepare the report definition and period, example product group, existing discounts, product costs and delivery expenses. The first objective is one well-defined offer with comparable results, rather than a store-wide collection of sales applications.
Review the cart offer against revenue and customer need
Share the product group, current offer and reporting definition so we can scope a focused AOV experiment.

Kazanan







