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Top 7 WooCommerce Upsell and Cross-Sell Techniques That Increase AOV

October 15, 2026
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Top 7 WooCommerce Upsell and Cross-Sell Techniques That Increase AOV

Increasing average order value (AOV) is one way to grow a WooCommerce store without relying entirely on attracting more visitors. Instead of focusing only on getting customers to buy, store owners can help shoppers discover relevant products, useful upgrades, and complementary items that improve their purchases.

Upselling and cross-selling are two practical ways to achieve this. Upselling encourages customers to choose a higher-value product, while cross-selling suggests related items that complement their original purchase. When these recommendations match customer needs, they can increase order value and improve the shopping experience.

WooCommerce provides basic options for linking products, but stores with larger catalogs or more complex product relationships may need additional recommendation features. These can include category-based rules, cart-based suggestions, product ranking, and personalized recommendations.

This guide covers seven WooCommerce upsell and cross-sell techniques, explains where to use them, and shows how to measure their impact on average order value.

What Is Average Order Value (AOV)?

Average order value is the average amount customers spend per completed order during a specific period.

You can calculate it using this formula:

AOV = Total Revenue ÷ Number of Orders

For example, suppose a WooCommerce store generates $10,000 in revenue from 200 orders. Its average order value is $50.

If the store increases its AOV to $60 while maintaining the same number of orders, it generates $12,000 in revenue. This represents a 20% increase in revenue from those orders.

Upselling and cross-selling can help achieve this by encouraging customers to choose suitable upgrades or add complementary products to their carts. However, results depend on product relevance, pricing, customer demand, and how recommendations are presented.

Upselling vs. Cross-Selling in WooCommerce

Although both techniques encourage customers to spend more, they serve different purposes.

Feature

Upselling

Cross-Selling

Purpose

Encourage customers to choose a higher-value product

Recommend complementary products

Example

Suggest a premium coffee machine instead of a basic model

Suggest coffee beans and filters with a coffee machine

Common placement

Product pages

Product pages, cart, and checkout

Main focus

Product upgrades

Related purchases

A store can use both methods together. For example, a customer viewing a basic camera could see a higher-resolution model as an upsell and a compatible memory card as a cross-sell.

The key is to recommend products that fit the customer's needs rather than simply displaying more expensive items.

Top 7 WooCommerce Upsell and Cross-Sell Techniques

1. Recommend Higher-Value Product Alternatives

Upselling works best when the recommended product offers a clear advantage over the original choice. This could include better materials, additional features, a larger capacity, or a longer warranty.

For example, a customer shopping for a basic office chair might benefit from seeing a premium model with adjustable armrests, lumbar support, and improved cushioning.

The recommendation should explain the difference between the two products. Customers need a clear reason to consider paying more.

How to implement this technique:

  • Identify products with premium alternatives in your catalog.
  • Compare features, quality, capacity, and price.
  • Display the upgrade on the relevant product page.
  • Explain the additional value without exaggerating its benefits.
  • Keep the price difference reasonable for the intended audience.

WooCommerce lets store owners assign upsell products through the product editor's Linked Products settings. Open a product, find the Linked Products section, and select suitable items in the Upsells field.

For larger catalogs, a recommendation extension can help manage upsell rules across multiple products. You can define which products qualify and control how recommendations are displayed.

Avoid recommending upgrades that do not solve a genuine customer need. A premium alternative should offer a meaningful improvement, not simply a higher price.

2. Suggest Complementary Products

Cross-selling encourages customers to purchase items that work well with their selected products. These recommendations can help customers complete a purchase by reminding them of useful accessories or related items.

For example, a customer buying a laptop might also need a laptop sleeve, a wireless mouse, or a compatible USB-C adapter. A customer purchasing a camera might appreciate an extra battery or a protective case.

The most effective complementary products are directly related to the original purchase. Recommendations should make the order more useful rather than add unnecessary items.

How to implement this technique:

  • Identify products customers commonly use together.
  • Create relevant product pairings.
  • Display complementary items on product or cart pages.
  • Explain how each recommended product supports the original purchase.
  • Monitor which combinations generate clicks and completed purchases.

WooCommerce supports manual cross-sell assignments through the Linked Products settings. You can select cross-sell products for individual items and display them in the cart, depending on your theme and store configuration.

If you manage a large catalog, consider using a WooCommerce product recommendation extension to organize recommendations through rules. This can make it easier to manage complementary products across different categories.

3. Display Recommendations on Product Pages

Product pages are a useful place to introduce alternatives and complementary products because shoppers are already evaluating an item.

However, the placement and content of recommendations matter. A long list of unrelated products can distract customers from the item they intended to purchase.

Start with a small, relevant selection. For example, a product page for running shoes might include premium alternatives or suitable running socks. A page for a coffee machine might show compatible accessories.

How to implement this technique:

  • Place recommendations near relevant product information without obstructing the purchase button.
  • Use headings such as "Consider These Alternatives" or "Complete Your Setup."
  • Display clear product images, prices, and concise descriptions.
  • Limit the number of recommendations to avoid overwhelming shoppers.
  • Test the layout on desktop and mobile devices.

You can also separate upsells from cross-sells to make their purpose clear. A premium alternative should not be confused with an accessory that complements the original product.

For stores with many products, rule-based recommendations can reduce the need to configure every product page individually. You can create rules for specific categories or product groups and reuse them across the catalog.

4. Offer Relevant Cross-Sells in the Cart

The cart provides another opportunity to suggest complementary items. At this stage, customers have already selected products, so recommendations can be based on what they intend to purchase.

For example, a customer adding a bicycle to the cart might need a helmet, a repair kit, or a water bottle holder. A customer buying a printer might need compatible ink cartridges or paper.

Cart recommendations should remain secondary to the main checkout process. Customers should be able to review their order and continue without unnecessary interruptions.

How to implement this technique:

  • Use the products already in the cart to determine relevant suggestions.
  • Prioritize accessories or supplies that customers may have forgotten.
  • Display the price and purpose of each recommended item.
  • Keep the recommendation section compact.
  • Make it easy to add a suggested product without restarting the shopping process.

A recommendation extension can help automate this process. Depending on its features, it may use cart categories, product filters, or purchase history to determine which products to suggest.

For example, the Extendons extension for AI-based product recommendations supports cross-sell rules that can consider cart categories and customer purchase history. These settings can help stores present more relevant complementary products instead of relying exclusively on manually assigned items.

5. Create Product Bundles and Frequently Bought Together Offers

Product bundles group related products into a single offer. They can simplify buying decisions and encourage customers to purchase several items together.

For example, a home office bundle might include a desk lamp, a laptop stand, and a cable organizer. A skincare bundle might combine a cleanser, moisturizer, and sunscreen.

Bundles are particularly useful when the products serve a shared purpose or work together as part of a routine.

How to implement this technique:

  • Identify products that naturally belong together.
  • Build bundles around a clear customer need.
  • Offer a bundle price when the combined purchase justifies a discount.
  • Explain what the bundle includes and how each item is used.
  • Compare bundle performance with individual product sales.

A bundle does not always need a discount. Convenience can be a strong reason to buy related items together, particularly when customers would otherwise have to search for each product separately.

You can also use a "Frequently Bought Together" section to suggest products commonly purchased alongside one another. If your store does not track enough order history to identify these combinations, start with carefully selected product pairings and review the results over time.

Be careful with discounts. A bundle that increases order value but reduces profit too much may not be beneficial. Consider product costs, shipping expenses, and margins before setting the offer price.

6. Personalize Recommendations Using Product and Purchase Data

A recommendation is more useful when it reflects the customer's current shopping needs. A generic list of bestsellers may work in some situations, but it can be less relevant than suggestions based on the product being viewed, items in the cart, or previous purchases.

For example, a returning customer who regularly buys coffee beans may be interested in a new roast or a larger pack. Someone buying a camera for the first time may need basic accessories rather than professional equipment.

Personalization does not always require complex systems. You can begin with simple rules based on product categories, tags, price ranges, stock status, and sales performance.

How to implement this technique:

  • Organize products into accurate categories and tags.
  • Identify useful relationships between products.
  • Use cart contents or purchase history where appropriate.
  • Exclude unavailable products from recommendations.
  • Review customer responses and adjust the rules.

For larger catalogs, AI product recommendations for WooCommerce can help automate suggestions while allowing store owners to maintain control over recommendation rules.

The Extendons extension supports custom and AI-based recommendation modes, upsell and cross-sell rules, product filters, ranking controls, and placements on product, cart, and checkout pages. Its custom mode lets store owners filter eligible products by criteria such as category, tags, price range, stock status, and product type.

This approach combines automation with practical controls. Store owners can use custom rules where they know exactly what to recommend and AI-based suggestions where automated product matching is useful.

Personalization should still respect customer expectations. Recommend relevant products, explain why an item may be useful, and avoid displaying the same suggestions so frequently that they become distracting.

7. Test Recommendation Placement and Measure Performance

Adding recommendations is only the first step. You also need to determine whether they encourage additional purchases without reducing the overall conversion rate.

A recommendation block may receive many clicks but generate few sales. Another may receive fewer clicks but contribute more revenue because customers purchase higher-value products.

Track performance over a consistent period and compare it with a suitable baseline.

How to implement this technique:

  • Record your current AOV before introducing a new recommendation strategy.
  • Test one placement or rule change at a time.
  • Compare different recommendation headings and product selections.
  • Track recommendation clicks, conversion rate, and revenue.
  • Review the results before expanding the strategy.

For example, you might compare a cross-sell section on the cart page with the same section on the product page. Keep other factors as consistent as possible so you can better understand which placement performs well.

You should also measure the effect on profit. A recommendation that increases AOV through heavily discounted products may generate less profit than one that encourages customers to buy a full-price accessory.

Give each test enough time and traffic to produce useful results. Do not make major decisions based on a handful of orders.

Best Practices for Increasing AOV Without Hurting Conversions

Successful upselling and cross-selling depend on more than the number of recommendations you display. The overall shopping experience must remain clear, useful, and easy to navigate.

Keep these practices in mind:

  • Prioritize relevance: Recommend products that complement the customer's purchase or offer a meaningful upgrade.
  • Avoid excessive recommendations: Too many product suggestions can distract shoppers from completing their orders.
  • Keep pricing clear: Show the cost of upgrades, accessories, and bundles before customers purchase them.
  • Check stock availability: Do not recommend products that customers cannot buy.
  • Consider profit margins: Higher order values do not always mean higher profits.
  • Review product data: Accurate categories, tags, descriptions, and prices make recommendation rules easier to manage.
  • Monitor mobile layouts: Ensure recommendations remain readable and usable on smaller screens.
  • Measure the results: Use actual sales and order data to identify which techniques work for your store.

It is also worth reviewing recommendations regularly. Products change, stock levels fluctuate, and customer preferences evolve. A pairing that once worked well may become less relevant as your catalog grows.

Conclusion

Upselling and cross-selling give WooCommerce store owners practical ways to increase average order value while helping customers discover products that fit their needs. From premium alternatives and complementary accessories to product bundles and personalized suggestions, each technique serves a different purpose.

Start with the products your customers already buy and identify useful upgrades or complementary items. Display recommendations where they make sense, keep the selection relevant, and make additional costs clear.

As your store grows, consider using recommendation rules or an extension to manage suggestions across your catalog. Most importantly, measure the impact on both order value and profitability. A successful strategy encourages customers to make more valuable purchases without making the shopping experience complicated or distracting.

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