What Are Related Products and How They Increase Average Order Value

Related Products Products shown near a listing to encourage additional browsing or purchase. Retailers and marketplaces display these items next to a product detail page, in search results, or on the cart page to steer shoppers toward complementary, alternative, or higher-margin items.

Placing related products beside a primary listing is a simple conversion tactic with measurable downstream effects: higher average order value (AOV), improved cart depth, and better SKU exposure. The mechanism is straightforward — capture a shopper's attention while they are in a buying mindset and present next-best options that match intent. Execution ranges from static editorial bundles to dynamic, algorithm-driven recommendations that account for user behavior, inventory, and margin targets.

How Related Products Work

Related product displays are built from three technical approaches: rule-based, collaborative filtering, and hybrid personalization. Rule-based rules rely on merchant-set relationships ("customers also bought", bundles), collaborative filtering uses aggregated user behavior (users who viewed X also viewed Y), and hybrid systems blend rules with real-time personalization signals. Each approach requires data inputs — SKU attributes, historical purchase/view streams, and available inventory — and produces a ranked list of candidates to show to the shopper.

Why They Increase Average Order Value

Related products increase AOV by presenting logical add-ons or upgrades at a moment when conversion likelihood is high. Shoppers on a product page have purchase intent; a timely suggestion (compatible charger, warranty, or premium variant) converts that intent into additional units or higher-priced SKUs. Cross-sells and upsells reduce friction: instead of searching for complementary items, shoppers are offered relevant options inside the same session, shortening the path to multi-item purchases.

• Immediate intent capture: Showing items when a customer is actively evaluating reduces search frictions that otherwise prevent add-ons.
• Perceived value: Bundles or accessories presented as a convenience increase perceived utility and justify extra spend.
• Higher margin items: Merchants can prioritize higher-margin alternatives in the related-products algorithm to improve profitability.

How Impact Varies By Implementation

Not all related-product strategies produce the same lift. Static editorial lists are easy to implement but can become stale; collaborative filters scale well but struggle with new or low-volume SKUs (cold start problem). Personalization engines require more infrastructure and privacy governance but usually deliver the best incremental revenue. Placement also matters: related items on product pages typically drive higher attachment rates than the same list in the site footer.

Who Should Use Related Products

Related product displays are appropriate for most merchants, marketplaces, and 3PLs offering fulfillment for multi-SKU assortments. Commodity sellers and high-ticket retailers both benefit, but tactics differ: high-ticket merchants favor upsell-focused tactics (premium variants, service add-ons), while high-velocity sellers emphasize bundles and complementary consumables. Warehouses and fulfillment operators should support dynamic packaging and kit assembly if merchants plan on bundling real-time at order time.

Practical Example

A midsize electronics retailer running a product page for a wireless speaker adds a related-products carousel showing: matching power adapters, a recommended protective case, an extended warranty, and a higher-end speaker model. Using a hybrid recommendation engine, the store promotes the warranty and case to first-time buyers, while returning customers see premium bundles. Over a three-month test, the merchant reports a 12% increase in AOV and a 6% lift in items per order — results tracked in their commerce analytics and validated against a control group.

Best Practices And Tips

• Labeling: Use clear copy like "Frequently Bought Together" or "Customers Also Bought" to set accurate expectations.
• Prioritization: Balance conversion and margin by weighting recommendations toward higher-margin but still relevant items.
• Inventory-aware lists: Avoid showing out-of-stock items; real-time inventory checks prevent shopper frustration.
• Mobile-first design: Carousel or stacked lists should be optimized for touch and slow connections.
• Measurement: A/B test placements and algorithms, and track attachment rate, AOV, conversion, and returns.

In short, the Related Products tactic turns a single-item visit into a richer transaction by surfacing complementary and alternative SKUs at decision points. When implemented with sensible rules, accurate inventory signals, and measurement, related products reliably increase AOV and deepen customer engagement.