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The Recently Purchased algorithm capitalizes on a shopper’s most recent transactions to suggest complementary products. By leveraging the user’s latest purchase history, you can deliver highly relevant cross-sell opportunities and keep customers engaged with items that naturally align with their current interests.
Recommended Placements

Order Confirmation Page: Upsell complementary items right after a purchase completes.

Product Pages: Suggest related accessories (e.g., laptops & laptop bags) based on the latest order.

Cart: Introduce add-ons or warranty products that pair with the recently purchased item.

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How It Works

  1. Purchase History Retrieval
    Fetches the user’s last N orders (configurable, e.g., 3–5 most recent transactions).
  2. Complementary Item Identification
    Analyzes attributes (category, tags, brand) of those purchased products to find related or accessory items.
  3. Dynamic Updating
    Continuously refreshes suggestions in real time as new purchases occur, ensuring recommendations reflect the shopper’s evolving preferences.

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Supported Rule Types

  • Global
  • Home Page
  • Category
  • Product
  • Cart
  • Search

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When to Use

  • Post-Purchase Cross-Sell: Drive incremental revenue by offering accessories and complementary products immediately after a sale.
  • Re-Engagement: Retain and re-engage customers by reminding them of items that go well with their last purchase.
  • Subscription & Consumables: Ideal for consumable goods—remind users to reorder refills or related consumables.

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Example

A shopper buys a Yoga Mat:
  1. On the Order Confirmation page, the Recently Purchased widget displays complementary items like yoga blocks, straps, and towels.
  2. When the user visits the Cart for a new purchase, they see prompts to add matching gear based on their last order.
By surfacing contextually relevant items tied to recent purchases, you create seamless, value-driven cross-sell journeys that boost average order value and deepen customer loyalty.