How Eight Shopify Stores Are Using Upsells and Cross-Sells to Drive More Revenue
Running a successful ecommerce store is not only about bringing in new shoppers. Sometimes, the biggest opportunity is already sitting inside your existing customer base. A shopper who is ready to purchase may also be interested in an upgraded product or something that complements their order. This is where Shopify upsell and cross-sell strategies can make a real difference. Instead of simply trying to increase traffic, merchants can focus on making each customer interaction more valuable through relevant product recommendations. But how much revenue can these strategies actually generate? Rather than relying on generic industry claims, Wiser AI analyzed real merchant dashboard data from eight Shopify stores over a three-month period in 2026. The stores covered a wide range of categories, including beverages, footwear, footwear care, fashion and apparel, accessories, home goods, and craft supplies. The results were quite varied, but every store recorded a meaningful contribution from upsell and cross-sell offers.
What the Data Actually Measures Before looking at the numbers, it is important to understand what the study measured. For each store, Wiser compared the revenue generated specifically through upsell and cross-sell offers with the store's total Wiser-generated revenue during the same three-month period. Wiser-generated revenue includes regular product recommendations as well as upsell and cross-sell offers. The study reports the resulting percentage rather than the actual dollar amount because the participating merchants requested that their underlying revenue figures remain confidential. This also means the figures should not be confused with direct AOV increases. For example, if upsell and cross-sell offers account for 60% of Wiser-generated revenue, that does not mean the store's average order value increased by 60%. It means that 60% of the revenue attributed to Wiser came specifically from these two recommendation mechanics. That distinction is important when evaluating ecommerce performance.
The Results From Eight Shopify Stores The stores produced results ranging from 32.5% to 85.4% of Wiser-generated revenue from upsell and cross-sell offers. Here is the complete breakdown.
1. HopTea: 85.4% HopTea, a beverage retailer, recorded the highest share in the group at 85.4%. This result is particularly interesting because consumable products can naturally encourage additional purchases. Customers who are already interested in one beverage may be willing to try another variety or add another related product. For this type of catalog, there can be an obvious next purchase after the initial product.
2. Naot Israel: 72.2% Naot Israel, a footwear brand, recorded 72.2%. Footwear provides several natural opportunities for complementary recommendations. Customers buying shoes may also need accessories or care products.
When products have a clear relationship, cross-selling can feel useful rather than intrusive. The customer does not have to wonder why the recommendation is being shown because the connection is easy to understand.
3. ReShoevN8r: 71.2% ReShoevN8r, a specialty footwear-care retailer, recorded 71.2%. Its product category is a strong example of how complementary products can work together. Cleaning kits, protectants, and accessories are closely connected to the customer's main purchase or existing need. This makes it easier to create recommendations that feel relevant to the shopper's intention.
4. Squarehood: 64.0% Squarehood, a fashion and apparel retailer, recorded 64.0%. Fashion stores can benefit from both upselling and cross-selling. A shopper may be interested in an alternative style, size, or higher-value option. They may also want another product that works with their original choice. This gives apparel merchants multiple opportunities to increase the value of an order while keeping recommendations connected to the customer's interests.
5. Talis US: 55.8% Talis US, an accessories retailer, recorded 55.8%. The result means that more than half of Wiser-generated revenue came from upsell and cross-sell offers. Accessories often have natural relationships with other products, making them suitable for recommendations. A shopper who is already interested in one item may have a genuine reason to consider another related product.
6. Afridi Imports: 51.3% Afridi Imports, a home goods import and wholesale business, recorded 51.3%. This store stands out because it has a large and diversified catalog. With a broad range of products, there are many potential ways to generate revenue. Upselling and cross-selling are therefore only two of several possible revenue drivers.
Even so, these offers accounted for more than half of Wiser-generated revenue, showing that recommendation strategies can remain valuable in larger catalogs.
7. Resin Rockers: 41.0% Resin Rockers, a craft supplies retailer, recorded 41.0%. Craft shoppers often have a specific project in mind. They may visit a store knowing exactly which materials they need, making their shopping journey more focused than that of a customer browsing fashion or lifestyle products. However, related recommendations can still be useful. A shopper may discover another supply that helps complete their project. The 41.0% result demonstrates that upselling and cross-selling can still make a meaningful contribution in niche categories.
8. LNDA: 32.5% LNDA, a fashion and apparel retailer, recorded 32.5%, the lowest percentage among the eight stores. At first, this may seem significantly lower than HopTea's 85.4%. However, it is still an important contribution. Roughly one-third of Wiser-generated revenue came from upsell and cross-sell offers. The study specifically treats this as a meaningful contribution rather than an indication that these mechanics are ineffective for the store.
What Does the 32.5% to 85.4% Range Tell Us? The range is one of the most interesting parts of the study. Every store in the group recorded at least 32.5% of Wiser-generated revenue from upsell and cross-sell offers. Several stores were above 50%, while three were above 70%. Across all eight stores, the average share was approximately 59%. This suggests that upselling and cross-selling can play a meaningful role across different types of Shopify businesses. However, the results also show that performance depends on the type of catalog.
Stores selling consumable or naturally complementary products tend to have more obvious opportunities for additional recommendations. Every purchase can potentially lead to another relevant product. Larger and more diversified stores may see a more moderate share because upselling and cross-selling compete with several other revenue opportunities. Niche, project-based stores can also fall toward the lower end because customers may arrive with a specific shopping goal.
What the Results Mean for Different Shopify Categories The study offers some useful directional insights for merchants. Consumable products: Beverage, refill, and repeat-purchase categories can have strong potential because customers may naturally be open to adding another related product. Footwear and care products: These categories often have straightforward product relationships. Shoes, accessories, cleaning products, and protectants can complement one another. Fashion and apparel: Fashion merchants can use both upgrades and complementary products. Customers may consider a different style or add another item to complete their purchase. Large catalogs: Stores with many categories can still benefit from upselling and cross-selling, although these strategies may represent one part of a broader recommendation strategy. Niche and project-based products: These stores may see a smaller share, but the contribution can still be meaningful when recommendations are closely related to the customer's specific needs.
Why Relevance Matters One of the biggest lessons from the data is that product recommendations need to make sense. Customers do not want to see random products simply because a store wants to increase order value. A shopper buying shoes may appreciate a care product. Someone purchasing a beverage may be interested in another variety. A fashion shopper may want something that works with the item they have already selected. The best recommendation often answers one simple question:
What else would genuinely help this customer? When the answer is clear, the recommendation feels more natural.
Upselling and Cross-Selling Work Together Upselling and cross-selling have different purposes, but combining them can create broader opportunities. An upsell encourages a shopper to choose a higher-value or alternative version of the product they already want. A cross-sell encourages the shopper to add another product that complements their purchase. A customer may first consider an upgraded product and then add an accessory. Another customer may prefer the original product but still be interested in something related. Using both approaches allows a store to accommodate different shopping preferences. The Wiser analysis suggests that treating upsell and cross-sell as complementary mechanics can provide stronger coverage across the customer journey than relying on only one approach or disconnected tools.
What Shopify Merchants Should Track The eight-store data should not be treated as a universal benchmark. Instead, merchants can use it as a starting point for measuring their own performance. Important metrics include: ● ● ● ● ● ● ●
Upsell revenue Cross-sell revenue Overall AOV AI-generated revenue Conversion rate Product-level recommendation performance Category-level performance
Tracking these metrics can help merchants identify which recommendations are working and where improvements may be needed. It is also important to keep revenue contribution separate from AOV lift. The study measures upsell and cross-sell revenue as a share of total AI-driven revenue, not as a direct percentage increase in AOV.
The Main Takeaway The data from these eight Shopify stores gives merchants a practical look at the potential of upselling and cross-selling. The contribution ranged from 32.5% to 85.4% of Wiser-generated revenue, with an average of approximately 59%. The results also show that there is no single number that every store should aim for. Product category, catalog structure, customer intent, and the strength of relationships between products can all influence performance. The most useful approach is to focus on your own store. Look at what customers buy, identify which products naturally belong together, and create recommendations that genuinely help shoppers make better purchasing decisions.
Final Thoughts Upselling and cross-selling should not be viewed simply as ways to convince customers to spend more. When done properly, they can make shopping easier. An upsell gives customers another option to consider. A cross-sell helps them discover a complementary product they may have otherwise overlooked. The real-world data from eight Shopify stores shows that these strategies can represent a substantial portion of AI-generated revenue across very different ecommerce categories. The results range from 32.5% to 85.4%, proving that the opportunity exists across both focused specialty stores and larger catalogs. The key is not to copy another store's percentage. Instead, merchants should build a recommendation strategy around their own customers and products. When a recommendation appears at the right time and feels genuinely relevant, it does not feel like another sales message. It feels like helpful guidance. And that is where upselling and cross-selling can become a valuable part of a Shopify store's growth strategy.