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Cross-selling

Core concepts and strategyBasic Level

Cross-selling in ecommerce is suggesting complementary products, such as accessories or matching items, to a shopper who is viewing or buying a related product.

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What is Cross-selling?

Cross-selling in ecommerce means suggesting products that complement the item a shopper is looking at or has in the cart, such as a case with a phone or socks with shoes. The goal is a larger, more useful order, not a more expensive version of the same product. Online stores cross-sell in "frequently bought together" blocks, "complete the look" sets, cart and checkout suggestions, bundles and follow-up emails. The links come from manual choices, from rules based on product attributes (same compatibility, matching category) or from recommendation engines that read order data. Cross-selling differs from upselling, which offers a better or larger version of the same product instead of an extra one. Because a successful cross-sell adds items to an order, the main metric is order value; see the effect with the average order value calculator.

Why Cross-selling matters for e-commerce

Getting a new customer usually costs more than selling one more item to a customer who is already buying. Cross-selling raises average order value, and when the suggestion is truly useful, it also prevents a disappointed customer who finds out the batteries were not included. The quality of cross-sell suggestions depends on product data. Rules need clean categories and compatibility attributes, and recommendation engines need correct SKUs and variants to link order data to the right products. A PIM keeps that data consistent, and WISEPIM analytics includes a cross-sell view of which products are bought together.

Examples of Cross-selling

  • 1Main product: Smartphone, Cross-sell: Case, screen protector, charger, Placement: Product page block
  • 2Main product: Running shoes, Cross-sell: Running socks, insoles, Placement: Cart suggestion
  • 3Main product: Espresso machine, Cross-sell: Coffee beans, descaler, milk jug, Placement: Frequently bought together
  • 4Main product: Printer, Cross-sell: Compatible ink cartridges, paper, Placement: Post-purchase email
  • 5Main product: Office chair (B2B), Cross-sell: Floor mat, desk, Placement: Quote or reorder page
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How WISEPIM Helps

  • Attribute management keeps compatibility, size and model attributes consistent, so cross-sell rules link items that actually fit.
  • Analytics in WISEPIM includes a cross-sell view that shows which products are bought together.
  • Product families and variants give each size and color its own SKU, so order data points to the right product.
  • AI enrichment fills missing attributes, so fewer products drop out of rule-based suggestions.

Common mistakes with Cross-selling

  • Suggesting products that do not relate to the main purchase. This frustrates customers and causes them to ignore your offers.
  • Showing too many options at the same time. This confuses shoppers and often prevents them from making a choice.
  • Displaying offers at the wrong time. You should suggest items while customers shop rather than after they finish their purchase.
  • Ignoring product data when creating offers. Cross-sell rules built on missing or inconsistent attributes suggest items that do not fit.
  • Ignoring a customer's purchase history or current needs. This leads to repetitive suggestions that do not help the shopper.

Tips for Cross-selling

  • Use a PIM system to link related products. This ensures your suggestions make sense to the shopper.
  • Recommend items based on what a customer views or buys. Use their history to make offers feel personal.
  • Show only two to four items at once. Too many choices can confuse customers and stop a sale.
  • Test different product pairs and page layouts. Find which ones work best and update your store.
  • Connect your PIM system to your online store. This automatically sends updated product links to your shop.

Trends around Cross-selling

  • AI-driven hyper-personalization: Utilizing advanced AI and machine learning to analyze vast customer data sets for highly precise and contextually relevant cross-sell recommendations.
  • Dynamic pricing and bundling: AI-powered algorithms optimizing cross-sell offers with dynamic pricing or personalized bundles based on real-time demand, inventory, and customer segment profitability.
  • Automated A/B testing and optimization: AI automatically testing different cross-sell placements, product combinations, and messaging to identify the most effective strategies.
  • Contextual cross-selling in headless commerce: Delivering personalized cross-sell experiences seamlessly across various touchpoints (e.g., mobile apps, smart devices, social commerce) via API-driven content.
  • Sustainability-focused cross-selling: Recommending eco-friendly complementary products, repair services, or extended warranties that align with customer values and promote product longevity.

Tools for Cross-selling

  • WISEPIM: PIM system that keeps the categories, attributes and compatibility data cross-sell rules depend on, and analytics with a cross-sell view.
  • Akeneo: A PIM solution that enables enrichment of product information and management of product relationships, crucial for relevant cross-sell recommendations.
  • Salsify: A Product Experience Management (PXM) platform that helps businesses gather, enrich, and distribute product content, including attributes necessary for cross-selling, across all channels.
  • Shopify: E-commerce platform offering built-in features and apps for product recommendations and cross-selling, often leveraging AI for personalization.
  • Magento (Adobe Commerce): A highly customizable e-commerce platform providing extensive capabilities for implementing sophisticated cross-selling logic and personalized product suggestions.

Related Terms

AI-First PIMAPI-First PIMB2B marketingBrand consistencyBrand Management

Also Known As

cross-sellcomplementary sellingadd-on selling

Frequently Asked Questions

Cross-selling in ecommerce is showing shoppers products that go with what they are buying, such as batteries with a toy or a lens cloth with glasses. The suggestions appear on product pages, in the cart, at checkout or in emails after the order. It works best when the extra item is genuinely useful for the main product.

Suggest a few items that are clearly compatible, not a long list. Use "frequently bought together" and "complete the set" blocks on product pages, small add-ons in the cart, and accessories or refills in post-purchase emails. Base the links on compatibility attributes and order data, and test placement and number of items.

Cross-selling adds a different, complementary product to the order, such as a case with a phone. Upselling replaces the chosen product with a better or larger version, such as the phone with more storage. Many stores use both on the same page.

Rule-based cross-selling reads product attributes such as category, size, model and compatibility. If those fields are empty or inconsistent, the store suggests items that do not fit, which leads to returns. Clean attributes are what make automatic cross-sell links reliable.

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