Product recommendations help you personalize the customer journey and increase sales. Instead of building product lists by hand, the Positive User recommendation engine learns from past behavior and product data to show exactly what your contacts want to see. This helps you display items matched to their immediate interests, making their shopping experience better and encouraging repeat purchases.
Definition
Product recommendations in Positive User automatically suggest relevant items to your contacts based on their past purchases and real-time browsing activity. The engine analyzes store-wide buying patterns alongside specific actions an individual contact takes. You can show these suggestions directly on your website or campaigns to keep shoppers engaged, or use popular items as a fallback for anonymous contacts.
Why Use It
Increase average order value: Suggest complementary items when contacts view a product or add an item to their cart.
Save time on merchandising: Let Positive User automatically match products to customer interests rather than building product lists by hand.
Engage first-time shoppers: Show popular, trending products to anonymous contacts even before they create an account or make their first purchase.
Keep suggestions relevant: Filter recommendations by categories, tags, or product segments so contacts only see items that are in stock and relevant to them.
How It Works
Positive User generates product suggestions by combining store-wide buying patterns with individual contact behavior:
Learning buying patterns: The recommendation engine reviews your store's purchase history (ideally looking at the last six months of sales data) to understand which products contacts frequently buy together.
Tracking real-time interest: When contacts browse your website, Positive User monitors key actions such as viewing a product page, adding an item to a cart, or starting checkout. The engine uses these product events to understand what the contact wants right now.
Connecting catalog details: To display items with images, prices, and links, the engine matches tracked actions to the items saved in the "Products" section of your workspace and their attributes.
Applying your filters: You can set rules to display only products from specific categories, tags, or product segments (such as available inventory or seasonal collections), ensuring contacts see only products you want to promote.
Use Cases
On-Site Personalization: Automatically display tailored product suggestions on your homepage or product pages based on the specific items a contact recently viewed or purchased. This helps contacts discover relevant items faster without having to search through your entire catalog.
Cart Cross-Selling: Show complementary products and matching accessories directly on the cart or checkout page based on the items currently in the contact's cart. This makes it easy for shoppers to add related items before completing their order, helping increase average order value.
Fallback Suggestions for Anonymous Contacts: When new or anonymous contacts visit your site without any browsing history, automatically populate recommendation boxes with your store's top-selling items or featured product segments. This keeps first-time visitors engaged right away.
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